1 00:00:03,839 --> 00:00:09,000 Speaker 1: Welcome to Fantasy Hockey Life, presented by fan Tracks. Here sits. 2 00:00:12,240 --> 00:00:14,839 Speaker 2: Your source of information and analysis to help you win 3 00:00:14,919 --> 00:00:16,199 your fantasy hockey league. 4 00:00:16,440 --> 00:00:19,120 Speaker 3: Talk off hot, a step hit on stay lock. 5 00:00:20,920 --> 00:00:25,120 Speaker 2: Here's your hosts, Jesse Severe and Victor nun Hockey Live. 6 00:00:25,440 --> 00:00:28,920 Speaker 4: I wanted for to talk fantasy hockey. This is Jesse 7 00:00:29,000 --> 00:00:31,960 Severe of fan Tracks. That is Victor Nugno of EP 8 00:00:32,159 --> 00:00:33,880 Ring Side. Victor, How you doing today? 9 00:00:35,640 --> 00:00:36,759 Speaker 2: I'm doing awesome, Jesse. 10 00:00:36,920 --> 00:00:42,039 Speaker 3: Definitely settling into the grind of setting my twenty or 11 00:00:42,039 --> 00:00:45,159 so lineups every day, which it definitely takes a bit 12 00:00:45,200 --> 00:00:49,320 of time as you're scrawling through, adjusting for injuries, making ads. 13 00:00:49,119 --> 00:00:50,840 Speaker 2: All that kind of stuff, But I enjoy it. How 14 00:00:50,880 --> 00:00:51,200 you doing? 15 00:00:51,799 --> 00:00:54,159 Speaker 4: What's your method Victor? Because I know you're a man 16 00:00:54,320 --> 00:00:58,079 who opens so many tabs. Victor, you showed me once 17 00:00:58,159 --> 00:01:00,679 and I almost had a seizure when you showed me 18 00:01:00,679 --> 00:01:02,479 how many tabs you keep open at one time. But 19 00:01:02,600 --> 00:01:05,599 what is your methodology for making sure you don't forget 20 00:01:05,959 --> 00:01:07,719 one of your up teen rosters? 21 00:01:08,879 --> 00:01:11,560 Speaker 3: That's a good question, and I definitely I know people 22 00:01:11,599 --> 00:01:14,280 would cringe if they saw my three screens, each of 23 00:01:14,319 --> 00:01:18,120 which have thirty to forty tabs open at all times, 24 00:01:18,920 --> 00:01:21,319 and I use all of them. My wife restarted my 25 00:01:21,359 --> 00:01:23,200 computer one time and they all close down, and I 26 00:01:23,239 --> 00:01:26,640 had a fit because it took hours to reopen everything. 27 00:01:26,719 --> 00:01:30,200 It was a nightmare. Anyways, these are my problems. What 28 00:01:30,280 --> 00:01:33,439 I do is I on fan tracks. You can actually 29 00:01:33,519 --> 00:01:37,280 load that you can organize your teams based on You 30 00:01:37,280 --> 00:01:39,680 can move them around top to bottom, and so I 31 00:01:39,719 --> 00:01:41,400 put all the ones that I need to adjust at 32 00:01:41,439 --> 00:01:43,879 the top, and I actually prioritize them with the ones 33 00:01:43,879 --> 00:01:46,400 that I am most concerned with. So I have the 34 00:01:46,439 --> 00:01:49,079 Lord Stanley Tidy division at the top, and then You're 35 00:01:49,200 --> 00:01:52,640 decently second, Jesse, and then I organize them so basically, 36 00:01:52,680 --> 00:01:54,359 the ones that I care the least about, which I'm 37 00:01:54,359 --> 00:01:56,000 not going to say on the show, I put them 38 00:01:56,000 --> 00:01:57,480 at the bottom, so if I run out of time 39 00:01:57,560 --> 00:01:59,599 or I get tired, they might not get there. 40 00:02:00,000 --> 00:02:01,319 Speaker 2: I stre adjusted, so I go through. 41 00:02:01,319 --> 00:02:03,200 Speaker 3: I usually do it on my phone actually because it's 42 00:02:03,239 --> 00:02:04,920 a little easier to move things around, and I can 43 00:02:05,000 --> 00:02:06,760 sometimes I'm just laying in bed doing that, But. 44 00:02:07,200 --> 00:02:08,120 Speaker 2: That's my process. 45 00:02:08,159 --> 00:02:09,960 Speaker 3: I start from the top and I go through each 46 00:02:10,000 --> 00:02:12,800 team and look at the situation and go through it. 47 00:02:12,800 --> 00:02:13,159 Speaker 1: That way. 48 00:02:14,479 --> 00:02:17,439 Speaker 4: Yeah, I think that's good. My problem is, even when 49 00:02:17,439 --> 00:02:20,319 I get going like that, because there's multiple sports going on, 50 00:02:20,800 --> 00:02:24,919 sometimes I would just forget one. So I have in Chrome. 51 00:02:25,719 --> 00:02:27,800 You can open up a group of tabs, and I 52 00:02:27,840 --> 00:02:30,199 have a group of tabs that's all the lineups I 53 00:02:30,199 --> 00:02:32,520 have to set. And I have a group of tabs 54 00:02:32,560 --> 00:02:35,639 that are all my active matchups. So I click on 55 00:02:35,840 --> 00:02:38,479 the lineups, I blow the whole thing up. There's right now, 56 00:02:38,479 --> 00:02:41,159 there's twelve tabs. When basketball gets going, there'll be sixteen. 57 00:02:41,680 --> 00:02:45,400 And I go one by one set the lineup, blows 58 00:02:45,439 --> 00:02:48,439 the tab, set the lineup, close the tab, and when 59 00:02:48,479 --> 00:02:50,599 all the tabs are closed, that means that my lineups 60 00:02:50,599 --> 00:02:53,840 are set. And then of course that's first thing in 61 00:02:53,879 --> 00:02:56,479 the morning, and then in the afternoon the evening, right 62 00:02:56,520 --> 00:02:58,400 before the games. Then I have to check again to 63 00:02:58,400 --> 00:03:01,159 see if somebody got hurt. So that's fun. 64 00:03:02,960 --> 00:03:04,560 Speaker 2: It's a whole process, that's for sure. 65 00:03:04,599 --> 00:03:08,319 Speaker 3: You gotta sometimes get making sure every team gets the 66 00:03:08,319 --> 00:03:10,800 attention it needs. It can be a little much sometimes 67 00:03:10,879 --> 00:03:11,840 on uncertain days. 68 00:03:13,680 --> 00:03:17,560 Speaker 4: Is there advice that anybody out there would give that 69 00:03:17,599 --> 00:03:19,759 would be better than what we get? Victor and I 70 00:03:19,840 --> 00:03:22,639 do hop in our discord and tell people about it. 71 00:03:22,800 --> 00:03:25,319 Give your wonderful ideas. I'm sure others would like to 72 00:03:25,360 --> 00:03:27,199 engage with those. You just have to get a link 73 00:03:27,680 --> 00:03:31,360 at fan Hockey Life at Victor Nuno twelve on x 74 00:03:31,680 --> 00:03:34,719 or email as Fantasy Hockeylife at gmail dot com Victor. 75 00:03:34,960 --> 00:03:37,520 There are other cool things that are out there for 76 00:03:37,680 --> 00:03:40,840 people to enjoy. Tell them, tell the people about them. 77 00:03:41,280 --> 00:03:44,319 Speaker 3: Yeah, if you're interested in some bonus content, patron casts 78 00:03:44,759 --> 00:03:46,960 are something that you can get access to. You can 79 00:03:46,960 --> 00:03:50,400 also get access to the website that has ranks, lists, tiers, 80 00:03:51,360 --> 00:03:54,039 player cards that we often reference on the show. You 81 00:03:54,039 --> 00:03:56,039 can get access to all that. As an ultralifer. You 82 00:03:56,039 --> 00:03:59,080 can also get access to a patron Priority channel and 83 00:03:59,199 --> 00:04:01,199 playing in the tidy the tier dynac all kinds of 84 00:04:01,199 --> 00:04:04,520 cool bonuses if bonus content and extras if you go 85 00:04:04,560 --> 00:04:06,800 over to patreon dot com slash Fantasy Ockey Life. 86 00:04:07,719 --> 00:04:13,120 Speaker 4: Very good. We'll be right back to kick off this episode. 87 00:04:18,639 --> 00:04:21,639 Speaker 3: Pleased to be joined now by Arden's one of our 88 00:04:21,759 --> 00:04:25,079 voices in the discord. It has a really cool tool 89 00:04:25,120 --> 00:04:28,360 that he's built that's gonna help us with some of 90 00:04:28,439 --> 00:04:30,519 the issues that Jesse and I talked about. 91 00:04:30,519 --> 00:04:31,920 Speaker 2: Actually on our last episode. 92 00:04:31,920 --> 00:04:34,560 Speaker 3: But before we get into all that, arden, how you doing, 93 00:04:34,560 --> 00:04:35,759 my friend, Thank you for joining me. 94 00:04:36,480 --> 00:04:39,279 Speaker 1: I'm good, Thank you for having me. I'm really excited. 95 00:04:39,759 --> 00:04:44,480 The Discord's a great place to discuss ideas, and being 96 00:04:44,519 --> 00:04:47,759 parts of community like communities like that has always encouraged 97 00:04:47,759 --> 00:04:50,519 me to just keep digging into this for fun. 98 00:04:52,120 --> 00:04:52,879 Speaker 2: Yeah, definitely. 99 00:04:53,439 --> 00:04:57,920 Speaker 3: And you have been sharing some of your thoughts about 100 00:04:58,120 --> 00:04:59,759 this tool that you built with me for the last 101 00:04:59,800 --> 00:05:01,839 time months, and I kept saying, this is so cool, 102 00:05:01,879 --> 00:05:03,439 we need to talk about it on an episode. So 103 00:05:03,480 --> 00:05:05,920 I'm glad that we're finally doing it. And one of 104 00:05:06,000 --> 00:05:08,720 the things that I think it ties into nicely is 105 00:05:08,759 --> 00:05:10,759 something Jess and I talked about last week on the 106 00:05:10,759 --> 00:05:14,199 Strategy episode, and that is that one of the real 107 00:05:14,279 --> 00:05:18,680 issues in Strategy and Dynasty in general is just evaluating 108 00:05:18,759 --> 00:05:22,439 your own roster, not having those blind spots for certain players. 109 00:05:22,480 --> 00:05:25,319 We all have them, players we really like or don't like, 110 00:05:25,920 --> 00:05:28,319 or just being tied to them because you traded too 111 00:05:28,360 --> 00:05:30,959 much for them, or whatever the case may be. It's 112 00:05:31,040 --> 00:05:34,160 always be it can always be fraught with some sort 113 00:05:34,199 --> 00:05:38,360 of issue at bias, and so being able to correctly 114 00:05:38,360 --> 00:05:42,680 and appropriately evaluate your roster corresponding to the league that 115 00:05:42,720 --> 00:05:46,319 you're in particular, is a really valuable tool. And that's 116 00:05:46,360 --> 00:05:49,079 a little bit I think it TEA is about what 117 00:05:49,240 --> 00:05:51,279 you built. So do you want to give us the 118 00:05:51,600 --> 00:05:54,720 preface of how you came about this tool that you 119 00:05:54,759 --> 00:05:55,839 built and why you did it. 120 00:05:57,079 --> 00:06:01,079 Speaker 1: Yeah, definitely basically built this all about I wanted to 121 00:06:02,519 --> 00:06:08,759 better construct my roster and just evaluate players further than 122 00:06:08,839 --> 00:06:11,759 just their fanasty points per game. Not only am I 123 00:06:11,800 --> 00:06:16,040 a big fantasy hockey, but I'm also a big hocket 124 00:06:16,079 --> 00:06:21,120 van and I love to look at advanced analytics. One 125 00:06:21,120 --> 00:06:25,879 of my one of my go tos is always I'm sorry, sorry, 126 00:06:25,920 --> 00:06:29,959 I'm going off to my own wins above replacement, which 127 00:06:30,040 --> 00:06:36,360 actually is I wanted to translate that into fantasy terms 128 00:06:36,480 --> 00:06:41,360 and wins above replacement Essentially, I'll just pull up the definitions. 129 00:06:40,759 --> 00:06:44,959 I basically, wins above replacement is what it sounds like. 130 00:06:45,160 --> 00:06:49,160 It's just it says here. I got the definition the 131 00:06:49,240 --> 00:06:53,399 number of additional wins his team was achieved above the 132 00:06:53,519 --> 00:06:58,920 number of expected team wins. So if that player were 133 00:06:59,079 --> 00:07:03,959 substituted with replacement level player, they would lose x amount 134 00:07:03,959 --> 00:07:09,519 of wins without set player. So I wanted to equate 135 00:07:09,639 --> 00:07:13,879 that very useful statistic, which is representative as it percentile 136 00:07:14,079 --> 00:07:17,399 into fantasy terms. Because we have all this great data, 137 00:07:17,839 --> 00:07:22,240 it doesn't really necessarily translate to on ice success in 138 00:07:22,279 --> 00:07:26,120 the real world, but it does win us matchups, at 139 00:07:26,199 --> 00:07:29,120 least in my league, which is Bangers specific. And I 140 00:07:29,240 --> 00:07:32,319 built it all around the scoring. We count, you know, 141 00:07:32,439 --> 00:07:37,839 shots on goal, it's locks, takeaways, face off wins, face 142 00:07:37,839 --> 00:07:41,560 off losses. All of these are weighed differently, and then 143 00:07:41,560 --> 00:07:44,279 we get a fantasy points per game and that fantasy 144 00:07:44,319 --> 00:07:46,680 points output and that's great, but what it doesn't account 145 00:07:46,720 --> 00:07:51,759 for is some nuances that are pertaining specifically at least 146 00:07:51,839 --> 00:07:56,360 to thirty two team dynasty leagues, which have a lot 147 00:07:56,360 --> 00:08:02,600 of factors that influence player value like age and contract 148 00:08:03,720 --> 00:08:08,079 cap hit value comparative to their production. And then we 149 00:08:08,160 --> 00:08:13,319 also have there's value. Every player on the roster has value. 150 00:08:13,759 --> 00:08:17,920 It's not necessarily like a three fantasy points per game 151 00:08:18,000 --> 00:08:22,639 player is a terrible piece just because it's a three 152 00:08:22,639 --> 00:08:26,160 fantasy points per game player. If they're young and they're 153 00:08:26,240 --> 00:08:31,079 really cost efficient on the cap, then that's a valuable piece. 154 00:08:31,439 --> 00:08:36,399 And it's not very reflected in Frank supoints per game 155 00:08:36,480 --> 00:08:42,240 straight up. But with my metric, you can identify that 156 00:08:42,320 --> 00:08:45,440 sort of value because I can break down a little 157 00:08:45,440 --> 00:08:50,519 bit about it. But it's called a season win index, 158 00:08:51,639 --> 00:08:56,320 and it's essentially a points above replacement. It's all built 159 00:08:56,919 --> 00:09:02,200 it's all built around replacement level. And see I'll just 160 00:09:02,399 --> 00:09:06,080 over sorry. Season win index is a percentile which measures 161 00:09:06,480 --> 00:09:12,879 how significant players impact is to a team winning their matchups. 162 00:09:13,120 --> 00:09:19,720 And to find this percentile, I've got a value from 163 00:09:20,399 --> 00:09:25,440 a player's win contribution rate, which takes the players adjusted 164 00:09:25,879 --> 00:09:32,600 points above replacement and it compares it to a team's average, 165 00:09:32,799 --> 00:09:36,639 the average team's total points above replacement. I take all 166 00:09:36,679 --> 00:09:41,200 thirty two teams in my league and I add up 167 00:09:42,080 --> 00:09:45,039 how many points above replacement the sum of all their 168 00:09:45,039 --> 00:09:48,720 players has, and then I take the average number from 169 00:09:48,720 --> 00:09:53,720 all thirty two teams and I compare a player's points 170 00:09:53,720 --> 00:09:58,559 above replacement to that total average, and that gives me 171 00:09:58,919 --> 00:10:02,960 a measure of how how impactful that player is relative 172 00:10:03,639 --> 00:10:07,000 to the rest of the league. And so how I've 173 00:10:07,080 --> 00:10:11,879 included some nuance here is I've broken down all of 174 00:10:11,919 --> 00:10:16,200 the players in the league into percentile tiers based on 175 00:10:16,399 --> 00:10:19,600 how productive they are, and this goes one through ten, 176 00:10:20,480 --> 00:10:24,919 and replacement levels derived from the fiftieth percentiles just an 177 00:10:24,960 --> 00:10:28,639 average player, and that gets us two zero point twenty 178 00:10:28,759 --> 00:10:33,120 nine Fantasy points per game. So that's replacement level. And 179 00:10:33,159 --> 00:10:37,200 then that replacement level is weighted and it's multiplied for 180 00:10:37,360 --> 00:10:40,240 each tier. So you have a star player with a 181 00:10:40,320 --> 00:10:45,679 much higher bar as a replacement level than say your 182 00:10:45,759 --> 00:10:49,120 depth player, whose replacement level is going to be weighted 183 00:10:49,200 --> 00:10:52,519 much more moderately, not as aggressively as a star player. 184 00:10:53,399 --> 00:10:58,639 So that is able to help us reflect more accurately 185 00:10:58,679 --> 00:11:01,519 the value of all players within their roles on your 186 00:11:01,519 --> 00:11:07,120 team and not the nuanced that we're able to identify 187 00:11:07,720 --> 00:11:12,840 within this metric is I take those same production tiers 188 00:11:12,879 --> 00:11:16,360 which represent how productive the players are one through ten, 189 00:11:17,399 --> 00:11:20,360 and I find the average cap hit within those tiers, 190 00:11:20,480 --> 00:11:23,000 and then I take a player's cap hit and I 191 00:11:23,039 --> 00:11:26,480 compare it there, and that allows me to then weight 192 00:11:27,600 --> 00:11:30,440 their points of out replacement with that in mind as well, 193 00:11:30,519 --> 00:11:33,240 how cap efficient they are relative to how productive they 194 00:11:33,279 --> 00:11:37,120 are in the average there. So this is why it's 195 00:11:37,159 --> 00:11:39,679 an adjusted points of out replacement because I add some 196 00:11:39,759 --> 00:11:44,120 categorical weights based on things like cap efficiency and age 197 00:11:44,399 --> 00:11:49,679 positional values. So, say a very scarce position like in fantracks, 198 00:11:49,679 --> 00:11:51,600 we have a lot of data like center left wing, 199 00:11:52,000 --> 00:11:54,799 center right wing, So center right wing is going to 200 00:11:54,840 --> 00:11:58,200 get a higher weight on their points of out replacement 201 00:11:58,240 --> 00:12:02,000 because it's a scarce position than say your left wing 202 00:12:02,080 --> 00:12:05,399 right wing, which is quite common. So that allows us 203 00:12:05,399 --> 00:12:09,720 to have some more nuanced there. And then we take 204 00:12:09,799 --> 00:12:13,360 that win contribution rate and we break it down into 205 00:12:14,000 --> 00:12:16,799 season win index, which is the percentile that we go 206 00:12:16,879 --> 00:12:20,279 off of. And then since we also have tiers of 207 00:12:20,360 --> 00:12:23,200 how productive they are and positions, we can break it 208 00:12:23,200 --> 00:12:26,919 down further and we can see relative to what position 209 00:12:27,000 --> 00:12:30,919 they are, how high is their season win index value, 210 00:12:31,320 --> 00:12:38,360 and relative to their position also how high is their 211 00:12:38,720 --> 00:12:41,720 season win index and their tier, So we can get 212 00:12:41,759 --> 00:12:46,120 some nuance there, and then that's the NHL season win 213 00:12:46,200 --> 00:12:49,679 index essentially. And what we get from that is I 214 00:12:49,679 --> 00:12:51,519 have a top ten list. 215 00:12:51,960 --> 00:12:53,519 Speaker 2: Year before we get to the list. 216 00:12:53,600 --> 00:12:56,000 Speaker 3: Let's talk a little bit more about that, because, yeah, 217 00:12:56,039 --> 00:12:59,080 that's all really interesting. I think that a lot of 218 00:12:59,159 --> 00:13:03,840 us would really joy having some more insight into how 219 00:13:04,000 --> 00:13:07,159 good really is my team, how much value is there 220 00:13:07,200 --> 00:13:10,679 for each player. I can see a lot of utility here. 221 00:13:10,840 --> 00:13:12,679 For one thing, you could look at this and just 222 00:13:12,799 --> 00:13:16,399 see where do I realistically stand compared to the rest 223 00:13:16,399 --> 00:13:18,320 of the league. You could also see which are my 224 00:13:18,480 --> 00:13:21,960 top contributors. I could see this tool being really useful 225 00:13:22,080 --> 00:13:25,639 for a trade value, right, because if you're thinking about 226 00:13:26,120 --> 00:13:30,000 how to value an asset, you can clearly see by 227 00:13:30,039 --> 00:13:34,200 this metric how much they contribute to wins for your 228 00:13:34,240 --> 00:13:36,840 team based and you can, like you said, you can 229 00:13:36,879 --> 00:13:39,879 take into account scarcity, you can get take an account 230 00:13:39,960 --> 00:13:43,200 contract age, all these things. And I think when you 231 00:13:43,200 --> 00:13:44,960 look at it this way, it'd be a lot easier 232 00:13:45,000 --> 00:13:48,200 to see. Just looking at your list here like, for example, 233 00:13:48,799 --> 00:13:54,000 are Timmy Panerin next to Leon Dreysidel and doctor Demco 234 00:13:54,159 --> 00:13:58,000 next to Jack Eichel, and Roman Yosi near Connor Hellibuck. 235 00:13:58,120 --> 00:14:02,919 So those things might be hard to those players might 236 00:14:02,960 --> 00:14:06,600 be hard to find similar value, But looking at it 237 00:14:06,639 --> 00:14:09,000 this way, you could say, okay, I could see that 238 00:14:09,279 --> 00:14:13,879 these are similarly contributing to the wins for the team 239 00:14:14,200 --> 00:14:16,639 in this league. And the fact that this league specific 240 00:14:16,720 --> 00:14:19,120 basically it's like a wins above replacement, like you said, 241 00:14:19,279 --> 00:14:22,639 for your specific league. So that's the other hard part 242 00:14:22,679 --> 00:14:26,679 is that in our fantasy leagues, there's so many different 243 00:14:26,720 --> 00:14:30,240 settings and variables, So you can't just take common lists 244 00:14:30,360 --> 00:14:34,600 or war numbers that are publicly available and use them 245 00:14:34,799 --> 00:14:38,159 for your fantasy analysis because your league settings might be 246 00:14:38,279 --> 00:14:38,799 very different. 247 00:14:38,879 --> 00:14:42,399 Speaker 1: Right, Yeah, exactly, like all of these metrics, they're so 248 00:14:42,559 --> 00:14:46,720 good for helping us evaluate how you know, a lot 249 00:14:46,720 --> 00:14:48,639 of the time, US fans think that we know better 250 00:14:48,720 --> 00:14:53,159 than the nhlgms because we're using all these all this 251 00:14:53,240 --> 00:14:56,600 public data that they pass over. But the end of 252 00:14:56,639 --> 00:15:00,039 the day, they have their own advanced analytics, so we 253 00:15:00,080 --> 00:15:02,600 don't have that for fantasy. And I'm just such a 254 00:15:02,600 --> 00:15:05,399 big fan that I just and you know what else, 255 00:15:05,399 --> 00:15:09,559 I'm also I think I'm the most active trader in 256 00:15:09,600 --> 00:15:13,559 my league. It's me and one other person that are 257 00:15:13,600 --> 00:15:17,639 like extremely active. And so I built this because I 258 00:15:17,679 --> 00:15:19,639 got to a point where with my team where I 259 00:15:19,679 --> 00:15:22,600 was pretty content with it, but I knew I showed 260 00:15:22,600 --> 00:15:25,960 to other people and they say, this isn't like that great. 261 00:15:25,600 --> 00:15:30,879 I don't see it winning anytime soon. So I also 262 00:15:31,639 --> 00:15:35,200 really quickly went from a rebuilder to a competing team 263 00:15:35,320 --> 00:15:37,440 just because I made some good trades and it gave 264 00:15:37,480 --> 00:15:40,720 me surplus value which I really ran with. And so 265 00:15:40,840 --> 00:15:43,679 now I became a competing team really quickly. But because 266 00:15:43,720 --> 00:15:46,759 I was a rebuilder, I also have million dollars in 267 00:15:46,879 --> 00:15:49,840 dead cap in like a league where we follow the 268 00:15:50,159 --> 00:15:55,399 NHL salary cap. So to maximize my roster with such 269 00:15:56,200 --> 00:15:59,240 a big amount of dead cap for the next two years, 270 00:15:59,720 --> 00:16:04,559 I really needed to find value. So that led me 271 00:16:04,639 --> 00:16:09,679 down a couple different roads with advanced analytics, and then 272 00:16:09,679 --> 00:16:10,440 it led me here. 273 00:16:11,519 --> 00:16:14,399 Speaker 3: I could see this almost as you have a cheat 274 00:16:14,399 --> 00:16:17,600 code for trading in your league. Right, It's exactly what 275 00:16:17,799 --> 00:16:21,480 these guys are worth, and you could almost laugh if 276 00:16:21,519 --> 00:16:27,039 someone offered you like Vincent Trocheck, who in your metric here, 277 00:16:27,799 --> 00:16:30,720 let me just go past it number twenty four. Let's say, 278 00:16:30,759 --> 00:16:34,240 for example, they just got really excited about some other 279 00:16:34,279 --> 00:16:36,200 player who was much lower on your list, like Kevin 280 00:16:36,240 --> 00:16:38,919 Fiaal one hundred and thirty fourth. You know you'd smash 281 00:16:38,960 --> 00:16:42,600 accept on that, whereas in another instance you might think 282 00:16:42,639 --> 00:16:44,440 about that and say, oh, I don't know, maybe you 283 00:16:44,519 --> 00:16:47,080 know I like this guy or whatever. So having this 284 00:16:47,240 --> 00:16:50,799 data and you know, might seem like a little bit 285 00:16:50,799 --> 00:16:53,000 of a cheat code, although as you said earlier, there 286 00:16:53,000 --> 00:16:55,440 are some assumptions built in here. Right, This isn't all 287 00:16:55,639 --> 00:16:59,600 just pure raw data based on fantasy points. So talk 288 00:16:59,600 --> 00:17:01,320 a little bit more about some of the assumptions that 289 00:17:01,360 --> 00:17:03,960 you had to make, because every model has to have 290 00:17:04,039 --> 00:17:06,319 some assumptions in them, or else it's not a model, 291 00:17:06,400 --> 00:17:08,960 it's just reproducing and collating data. 292 00:17:09,880 --> 00:17:12,640 Speaker 1: So in this one, a lot of those a few 293 00:17:12,680 --> 00:17:17,160 of those weights, like age value, for example, I will 294 00:17:17,319 --> 00:17:21,519 just basically take it. Let me see here, let me 295 00:17:21,559 --> 00:17:25,279 go into my Googles sheets for example. One one really 296 00:17:25,359 --> 00:17:29,079 clear example is positional value. So that I take an 297 00:17:29,160 --> 00:17:35,200 arbitrary number and I just assign it to all the 298 00:17:35,240 --> 00:17:40,519 combinations of the positions based on just how scarce they are, 299 00:17:40,640 --> 00:17:43,799 so center right wing. I give that the highest weight, 300 00:17:44,400 --> 00:17:48,960 and then I can see the amount of left wing 301 00:17:49,039 --> 00:17:52,319 right wing, so I give that the lower rate weight 302 00:17:52,480 --> 00:17:56,240 because it's further down the list. And so picking those 303 00:17:56,319 --> 00:17:59,319 kinds of weights, they are quite marginal. The ones that 304 00:17:59,359 --> 00:18:02,920 I put more weight into is like the cap efficiency, 305 00:18:03,000 --> 00:18:06,559 where I can actually pick like a hard number. And 306 00:18:07,200 --> 00:18:10,880 when I when we talk more about the because this 307 00:18:11,079 --> 00:18:15,000 led me down the road of the prospect. 308 00:18:15,319 --> 00:18:17,440 Speaker 2: Data, Oh yeah, we'll get there. Not yet, not. 309 00:18:17,519 --> 00:18:21,400 Speaker 1: Yet, we'll get there. But for that one, for example, 310 00:18:21,640 --> 00:18:27,680 like the age waiting, I have two different weights on age. 311 00:18:27,720 --> 00:18:32,880 They're one where I compare the player's age to the 312 00:18:32,960 --> 00:18:37,680 average age of the league that they play within, and 313 00:18:37,720 --> 00:18:39,039 that gives me a value. 314 00:18:39,480 --> 00:18:41,000 Speaker 2: Let's stick to the pros right now. 315 00:18:41,039 --> 00:18:44,559 Speaker 3: So what other assumption, so positional scarcity, you had some 316 00:18:44,680 --> 00:18:46,599 age cap efficiency? 317 00:18:46,839 --> 00:18:48,480 Speaker 2: So what is what goes into that. 318 00:18:49,079 --> 00:18:52,519 Speaker 1: Cap efficiency is where it just takes the cap hit 319 00:18:52,599 --> 00:18:56,000 of the player and it finds the average cap hit 320 00:18:56,200 --> 00:19:00,720 of the tier that they play that they are within 321 00:19:00,880 --> 00:19:05,279 for their production. So say like they're the most productive 322 00:19:05,319 --> 00:19:08,960 tier that average I'm just trying to pull up the 323 00:19:09,079 --> 00:19:13,200 actual sheet here, but the average capit for the highest 324 00:19:13,240 --> 00:19:18,799 tier players is probably something like nine million. Yeah, it's 325 00:19:18,960 --> 00:19:22,799 eight point three million for production tier one, and then 326 00:19:22,839 --> 00:19:28,920 if you're saying production tier seven, that's one point eight million, 327 00:19:29,319 --> 00:19:33,799 so about and it's there's ten tiers here, So once 328 00:19:33,839 --> 00:19:36,160 we get down to production tier nine, we're in that 329 00:19:36,319 --> 00:19:40,920 nine hundred k range. And so that weight is a 330 00:19:40,920 --> 00:19:43,400 lot more neutral because all those players are pretty much 331 00:19:43,440 --> 00:19:45,319 within there. But if you do have a player who's 332 00:19:45,319 --> 00:19:48,079 within that production tier nine and say they have a 333 00:19:48,079 --> 00:19:50,559 really high cap hit, that's going to give them a 334 00:19:50,599 --> 00:19:56,839 pretty highly negative weighting there. Positional weight here, I've got 335 00:19:57,160 --> 00:20:01,079 like center, I've picked some arbitrary numbers that just from 336 00:20:01,119 --> 00:20:06,759 my own experience trading and just like finding the actual 337 00:20:06,920 --> 00:20:10,960 players I have, Defense would give you the highest rating, 338 00:20:11,599 --> 00:20:16,680 your center, right wing combination second highest rating, and then 339 00:20:16,880 --> 00:20:22,319 left wing will be slightly higher than center. So those 340 00:20:22,359 --> 00:20:26,160 are just arbitrary. And then as well as my production 341 00:20:26,400 --> 00:20:32,839 tier weights, So how I change that replacement level for 342 00:20:32,960 --> 00:20:36,279 each tier, I multiply it by a weight so that 343 00:20:36,319 --> 00:20:41,880 it's a little more appropriate for how productive that player is. So, 344 00:20:41,920 --> 00:20:48,960 for example, for production tier one, I multiply deep replacement 345 00:20:49,039 --> 00:20:53,039 level for that tier from the base one, which is 346 00:20:53,319 --> 00:20:57,519 fifty percent player that's two twenty nine FPPT, I multiply 347 00:20:57,599 --> 00:21:02,000 that by sixty percent. And that's just through tweaking the 348 00:21:02,160 --> 00:21:07,160 formula and just seeing what worked best and what looked 349 00:21:07,200 --> 00:21:11,480 most appropriate for how far above that replacement level each 350 00:21:11,519 --> 00:21:15,039 player would clear it, and then just going through that, 351 00:21:15,279 --> 00:21:20,079 I did that, so it goes from sixtieth percent down. 352 00:21:20,559 --> 00:21:24,720 And then once we get into those lower production tiers 353 00:21:24,759 --> 00:21:28,200 where they don't actually produce as much, the weight doesn't 354 00:21:28,400 --> 00:21:33,680 stay neutral, it actually goes down, so it'll actually lower 355 00:21:33,720 --> 00:21:38,039 the replacement level from the fiftieth percentile so that happens 356 00:21:38,039 --> 00:21:41,960 in production tier seven, it becomes ninety five percent of 357 00:21:42,079 --> 00:21:47,640 that two twenty nine value, and it goes down to 358 00:21:47,680 --> 00:21:51,160 sixty five percent and tier ten for example. So that 359 00:21:51,319 --> 00:21:54,920 was just through tweaking the formula and just seeing what worked. 360 00:21:54,920 --> 00:21:58,000 I didn't want to have any players like skewing it 361 00:21:58,440 --> 00:21:59,880 too hard one way or another. 362 00:22:01,680 --> 00:22:04,680 Speaker 3: Yeah that makes sense, and yeah, those assumptions I think 363 00:22:04,720 --> 00:22:08,240 are all reasonable. I think sometimes when you make really 364 00:22:08,759 --> 00:22:12,640 sometimes some far fetched assumptions that can skew things. And 365 00:22:12,680 --> 00:22:14,920 I think the other really important thing, which is what 366 00:22:14,960 --> 00:22:17,920 I asked you early on, is let's look at what 367 00:22:17,960 --> 00:22:20,240 this list generated. There has to be a smell test 368 00:22:20,319 --> 00:22:22,359 when you do the when you do any kind of 369 00:22:23,079 --> 00:22:25,079 listen assumptions, you have to be able to look at 370 00:22:25,039 --> 00:22:27,920 it and see, did it spit out actually the best players, 371 00:22:28,039 --> 00:22:30,720 or did it spit out some random fourth liner who's 372 00:22:30,799 --> 00:22:32,880 killing it? And you look at your list, and I 373 00:22:32,880 --> 00:22:34,400 know you have them written down here, but I can 374 00:22:34,440 --> 00:22:36,960 just read them for people. So Nikita Kutrov number one, 375 00:22:37,039 --> 00:22:41,319 Nathan McKinnon, Austin Matthews, Connor McDavid, J. T. Miller, kil mccarr, 376 00:22:41,359 --> 00:22:45,799 Brady Couchuck, Philip Forsburg Critica Prisot David Pastronach, I think 377 00:22:45,880 --> 00:22:49,079 for most people, but you, depending on your league settings, 378 00:22:49,440 --> 00:22:52,319 that seems reasonable. Like maybe Philip Forstburgh's a little high 379 00:22:52,359 --> 00:22:55,400 in your league, but that's not unreasonable. I think Pastronach, 380 00:22:55,480 --> 00:22:57,920 Roonton and Jack Hughes, those guys are all right there. 381 00:22:58,480 --> 00:23:00,519 And so when I looked at this, was like, Yeah, 382 00:23:00,559 --> 00:23:04,880 there's not really anyone really off in terms of where 383 00:23:06,000 --> 00:23:08,920 where they are or where they should be. And so 384 00:23:09,079 --> 00:23:11,839 I think that's really important to do a quality control 385 00:23:11,880 --> 00:23:13,480 and just take a step back and say does this 386 00:23:13,559 --> 00:23:16,839 make sense with I think the only thing that I 387 00:23:16,880 --> 00:23:19,519 could that could say looking at this list that did 388 00:23:19,559 --> 00:23:23,119 seem to stand out a little bit that's probably worth 389 00:23:23,160 --> 00:23:26,160 discussing is that some of the goalies are pretty high. 390 00:23:26,480 --> 00:23:29,759 And I know that sometimes when we think about goalies, 391 00:23:30,079 --> 00:23:32,839 they certainly are important, and especially in the thirty two team, 392 00:23:32,880 --> 00:23:35,200 having a set goalie who can get you lots of 393 00:23:35,200 --> 00:23:38,640 points and plays regularly is super important. But how did 394 00:23:38,640 --> 00:23:40,279 you address the goalie situation? 395 00:23:41,880 --> 00:23:44,680 Speaker 1: Yeah, so this when I first started computing this, I 396 00:23:44,720 --> 00:23:48,519 was one of the glaring issues right away was because 397 00:23:49,039 --> 00:23:52,039 at least in my league, what we do to counterbalance 398 00:23:52,119 --> 00:23:55,640 that the fact that goalies don't play as nearly as 399 00:23:55,640 --> 00:23:59,079 many games with skaters, but they are still very valuable. 400 00:23:59,400 --> 00:24:03,559 To counter that, we really inflate their scoring and that 401 00:24:03,839 --> 00:24:06,400 gives you like goalies that will end up with nine 402 00:24:06,440 --> 00:24:10,559 fantasy points per game if they're good, but it doesn't 403 00:24:10,599 --> 00:24:14,480 mean they're like just Connor McDavid almost or JT. Miller 404 00:24:14,559 --> 00:24:19,240 level like that would be higher by one or two 405 00:24:19,319 --> 00:24:21,319 Fantasy points per game than some of the best skaters. 406 00:24:21,759 --> 00:24:26,319 So to counter that inflation within this metric, when I 407 00:24:26,400 --> 00:24:30,559 was breaking it down with fantasy points as my main factor, 408 00:24:30,599 --> 00:24:36,920 what I did was I calculated the share of starts 409 00:24:37,200 --> 00:24:42,079 that each goalie which qualified for the metric for a 410 00:24:42,119 --> 00:24:46,279 certain amount of games played. I calculated their start share 411 00:24:46,359 --> 00:24:50,799 and then I pro rated that percentage over eighty two 412 00:24:51,119 --> 00:24:58,200 games with their fantasy points. So if a goalie is 413 00:25:00,039 --> 00:25:04,119 they're only getting sixty percent of their starts over the season, 414 00:25:04,799 --> 00:25:09,200 they're probably going to have a much higher rating than 415 00:25:09,240 --> 00:25:13,599 a goalie with just forty. And it also just really 416 00:25:13,680 --> 00:25:17,599 brought down the base fantasy points per game level for 417 00:25:18,559 --> 00:25:21,200 all the goalies, so that really helped a lot. And 418 00:25:21,240 --> 00:25:27,799 then I also lowered their value for the positional value itself, 419 00:25:27,880 --> 00:25:34,000 So goalies have a lower positional value than skaters just 420 00:25:34,079 --> 00:25:38,119 because there's six, there's more than enough, and in our 421 00:25:38,200 --> 00:25:42,000 league specific there's more than enough quality goalies to really 422 00:25:42,039 --> 00:25:46,000 get some starts from. In our league specifically, we only 423 00:25:46,039 --> 00:25:50,000 have one act of starting goalie and then we have 424 00:25:50,160 --> 00:25:55,519 a reserve spot for goalies, so they're not very valuable 425 00:25:55,599 --> 00:25:57,200 in our league in the first place, so I had 426 00:25:57,240 --> 00:26:02,839 to just manually adjust from my specific league regardless. But 427 00:26:03,400 --> 00:26:07,680 I like here that I think the first goalie to 428 00:26:07,880 --> 00:26:15,960 come up is we have Jeremy Swayman, after Dempko Connor Hellibuck, 429 00:26:16,119 --> 00:26:20,200 and they come in seventeen, eighteen, and twenty, and I 430 00:26:20,279 --> 00:26:22,319 like overall on the ranks, and I feel like that 431 00:26:22,519 --> 00:26:25,759 is really appropriate because those are from some of the 432 00:26:25,799 --> 00:26:29,799 best teams with the highest start share goalies, or at 433 00:26:29,880 --> 00:26:32,119 least Jeremy Swayman does not have the highest starts here, 434 00:26:32,160 --> 00:26:34,920 but he's still wrapped up crazy amount of fantasy points 435 00:26:34,920 --> 00:26:37,880 on a very good team, and he's really young, and 436 00:26:38,279 --> 00:26:41,240 last year he had a great contract also, so all 437 00:26:41,279 --> 00:26:44,599 of those things really help out. It would be interesting 438 00:26:44,640 --> 00:26:48,240 to see where he'd fall now, but for that season, 439 00:26:48,279 --> 00:26:50,880 I think that's very indicative of a goalies value in 440 00:26:50,920 --> 00:26:53,680 our league. To be the sixth one of the top twenty, 441 00:26:54,039 --> 00:26:56,599 I feel like a few goalies should be represented in there. 442 00:26:57,119 --> 00:26:59,240 And then it really I think the next one comes 443 00:26:59,319 --> 00:27:03,200 down at a stirk in at twenty six, all Mark 444 00:27:03,319 --> 00:27:05,920 thirty three, and then it really starts to drop down 445 00:27:05,960 --> 00:27:09,160 and they get a lot more scarce. But yeah, basically, 446 00:27:09,160 --> 00:27:12,680 if you're a starter, this metric is going to put 447 00:27:12,720 --> 00:27:18,759 you within the top one hundred. Vassilevsky's they're at eighty 448 00:27:18,759 --> 00:27:22,519 eight at a pretty low start share last year, nadel 449 00:27:22,720 --> 00:27:26,519 Djovic ninety fifth. Overall, it does show you where you 450 00:27:26,519 --> 00:27:30,680 can actually find some sneaky value from some pretty good 451 00:27:30,960 --> 00:27:32,960 streaming options for goalies as well. 452 00:27:34,720 --> 00:27:37,559 Speaker 3: Yeah, definitely, and so this is really good. I don't 453 00:27:37,559 --> 00:27:38,839 know if there's anything else you want to say on 454 00:27:38,880 --> 00:27:42,160 the pro side or should we switch over to the prospects. 455 00:27:42,240 --> 00:27:46,640 Speaker 1: Yeah, I will mention who I actually targeted with this. 456 00:27:46,960 --> 00:27:50,079 So like the guys that after I built this metric, 457 00:27:50,240 --> 00:27:53,960 I went out and traded, I just wanted to highlight 458 00:27:54,079 --> 00:27:57,160 like where they came in on there. I call it 459 00:27:57,319 --> 00:28:02,240 sweet season win index. Though Gustav Porsling, I went after him. 460 00:28:02,960 --> 00:28:06,839 Really liked the contract he signed, Like with just everything 461 00:28:07,519 --> 00:28:09,839 the cap going up so much, that looks really nice 462 00:28:09,880 --> 00:28:13,039 long term, So that interested me when I saw that. 463 00:28:14,119 --> 00:28:18,359 And then he came in at sixty eight percent on 464 00:28:18,400 --> 00:28:24,160 his on his suite, and that puts him that's like 465 00:28:24,279 --> 00:28:28,000 pretty mid it's mid to high end, but with that contract, 466 00:28:28,480 --> 00:28:34,880 and that was actually a seventy seven percentile for a defenceman, 467 00:28:35,039 --> 00:28:38,599 so that's that suite rating. Sixty eight percent actually puts 468 00:28:38,640 --> 00:28:42,119 him in the closer to the top twenty percent for defenseman. 469 00:28:42,680 --> 00:28:45,519 I really liked that. And he also had a pretty 470 00:28:45,599 --> 00:28:49,920 low ADP this season of one thirty nine, so he's 471 00:28:49,960 --> 00:28:52,799 also trending up and he's you know, hitting his prime. 472 00:28:53,039 --> 00:28:56,559 Defenseman hit their prime a little bit older, So that 473 00:28:56,680 --> 00:28:59,960 was really interesting. Same kind of deal with San Hai. 474 00:29:00,400 --> 00:29:03,480 I like that. But the cap going up, these kind 475 00:29:03,519 --> 00:29:07,000 of six to seven million dollar contracts might end up 476 00:29:07,000 --> 00:29:10,880 looking nice, especially if these players can keep progressing. And 477 00:29:11,599 --> 00:29:14,519 Philadelphia is a young team, so they're hopefully going to 478 00:29:14,559 --> 00:29:17,480 get better over time. So he came in at seventy 479 00:29:17,519 --> 00:29:20,759 one percent one eighty one ADP with that contract. I 480 00:29:20,799 --> 00:29:23,279 basically got him for three in my league because people 481 00:29:23,319 --> 00:29:25,599 just don't think it's good, but he's doing me good 482 00:29:25,720 --> 00:29:31,119 right now. Dakota Joshua seventy nine point nine percent with 483 00:29:31,200 --> 00:29:34,279 a four hundred and three EIGHTYP. Again, this is a 484 00:29:34,319 --> 00:29:38,640 bangers league, but that contract he signed in the summer 485 00:29:39,039 --> 00:29:42,680 with that kind of value, that was way too good 486 00:29:42,680 --> 00:29:45,039 to pass up on. And another one was Dylan Strom. 487 00:29:45,079 --> 00:29:48,720 I went after him super hard. He had seventy seven percent, 488 00:29:49,160 --> 00:29:52,240 seventy seven point six percent and one eighty four ADP 489 00:29:52,440 --> 00:29:55,319 this season, So you can tell the range I can 490 00:29:55,359 --> 00:29:57,559 go for as like a sixty five to eighty percent range. 491 00:29:57,680 --> 00:30:00,599 This is because I will study the player files a 492 00:30:00,599 --> 00:30:03,000 little bit more in their situations and I can see 493 00:30:03,000 --> 00:30:06,599 some upside there for more. And then also within that 494 00:30:06,759 --> 00:30:12,240 range of player in our league, my rating rates them 495 00:30:12,279 --> 00:30:16,000 even higher because it's considering other factors, so they're not 496 00:30:16,160 --> 00:30:19,880 rated as highly on Fantasy points per game. They look 497 00:30:20,000 --> 00:30:22,000 a little bit more mid face value. So I was 498 00:30:22,039 --> 00:30:24,160 able to get these guys for fairly cheap. And they're 499 00:30:24,759 --> 00:30:28,799 I mean, Joshua hasn't come back yet, but samham Foreslin 500 00:30:28,920 --> 00:30:32,559 they're doing me great for their cap hits and Dylan 501 00:30:32,599 --> 00:30:35,799 Strom is popping off, and I went after him because 502 00:30:35,839 --> 00:30:39,160 I love the contract, and his deployment just kept increasing 503 00:30:39,440 --> 00:30:41,680 near the end of the year. So yeah, those are 504 00:30:41,680 --> 00:30:44,680 the guys that I went after with my metric, and 505 00:30:44,720 --> 00:30:46,240 that's my strategy with it too. 506 00:30:47,240 --> 00:30:49,480 Speaker 3: Yeah, again, it seems like a cheat code if you 507 00:30:49,519 --> 00:30:53,000 can see empirically through the numbers who has some hidden 508 00:30:53,039 --> 00:30:56,079 value and who maybe isn't getting the love. 509 00:31:01,920 --> 00:31:05,440 Speaker 2: This excellent. 510 00:31:06,400 --> 00:31:10,839 Speaker 1: Are serious injury. 511 00:31:11,440 --> 00:31:14,359 Speaker 3: So then the idea was, hey, maybe we can apply 512 00:31:14,440 --> 00:31:17,599 this or maybe you can apply this to prospects, and 513 00:31:18,119 --> 00:31:19,480 that's where he went next. 514 00:31:19,519 --> 00:31:20,720 Speaker 2: Right, it's trying to predict that. 515 00:31:20,880 --> 00:31:23,799 Speaker 3: Obviously, there's more prediction here because you're not looking at 516 00:31:23,880 --> 00:31:26,119 in the league, at least in your fantasy league. They 517 00:31:26,200 --> 00:31:29,799 have junior stats and they have nic Le's and stuff. 518 00:31:29,799 --> 00:31:33,599 But you decided to apply the same idea to prospects. 519 00:31:33,640 --> 00:31:36,640 So there's a little bit more assumptions that you needed 520 00:31:36,640 --> 00:31:39,119 to make and some more and math. So tell us 521 00:31:39,119 --> 00:31:39,880 how you went about that. 522 00:31:41,079 --> 00:31:44,160 Speaker 1: Yeah, so this was really fun to do. It was 523 00:31:44,200 --> 00:31:47,400 a big project. At the end of the day, the 524 00:31:47,440 --> 00:31:50,000 amount of the players, the amount of players that are 525 00:31:50,160 --> 00:31:54,680 considered in the metric is about a little over one thousand, 526 00:31:55,160 --> 00:32:00,759 and that comes from just about twenty leagues across the world. 527 00:32:01,000 --> 00:32:06,400 It's the exact same setup as as SWEET. So foundationally 528 00:32:07,119 --> 00:32:12,400 it's the same. It's the same replacement level comparison in 529 00:32:12,519 --> 00:32:17,920 order to find win contribution rate. But instead of so 530 00:32:18,039 --> 00:32:22,279 to find this the average total points about replacement value 531 00:32:22,880 --> 00:32:26,799 the sum for the average team in our league, I 532 00:32:27,079 --> 00:32:30,839 just calculated the same way all thirty two teams, all 533 00:32:30,880 --> 00:32:34,319 their prospects, and the sum of all those prospects. 534 00:32:34,319 --> 00:32:37,039 Speaker 3: So did you are these prospects scoring points in the 535 00:32:37,079 --> 00:32:39,559 fantasy league? Are you talking about their points in their 536 00:32:39,680 --> 00:32:40,640 junior leagues? 537 00:32:40,920 --> 00:32:46,119 Speaker 1: The scoring considered is all their categorical stats that we 538 00:32:46,200 --> 00:32:48,960 would have considered if they were in our league. I've 539 00:32:49,000 --> 00:32:54,839 translated those statistics into fantasy points and then fantasy points 540 00:32:54,839 --> 00:32:57,720 per game based on how many games they played. 541 00:32:58,279 --> 00:32:59,759 Speaker 2: So you're back in hits. 542 00:33:00,839 --> 00:33:03,200 Speaker 3: But are you talking goals and assists too? 543 00:33:03,759 --> 00:33:04,519 Speaker 2: In the junior. 544 00:33:05,920 --> 00:33:11,160 Speaker 1: Goal's assists, hits, blocks, shots on goal, takeaways. The only 545 00:33:11,200 --> 00:33:14,839 thing we could not consider I could not find it 546 00:33:15,039 --> 00:33:17,000 was special team points. 547 00:33:17,880 --> 00:33:21,119 Speaker 3: Sorry, I have words the questions The question though, is 548 00:33:21,160 --> 00:33:27,160 that is this based purely on like they scored however 549 00:33:27,160 --> 00:33:30,039 many points in the WHL, or is there a NHL 550 00:33:30,079 --> 00:33:32,920 e conversion factor to the NHL. 551 00:33:33,000 --> 00:33:35,240 Speaker 1: The first thing I do is translate all of the 552 00:33:35,480 --> 00:33:38,680 scoring into fantasy points that's at a base level, just 553 00:33:38,720 --> 00:33:44,400 in order to relate it into the fantasy round for 554 00:33:44,519 --> 00:33:48,079 my league. And then this is where the biggest assumption 555 00:33:48,160 --> 00:33:50,799 that I make, and it came with a lot of tweaking, 556 00:33:51,599 --> 00:33:55,839 comes in play. And that's the my league weights. There's two. 557 00:33:55,920 --> 00:34:00,920 There's one. There's two main weights in this for age 558 00:34:01,359 --> 00:34:04,680 and league strength, that sort of thing. There's two main 559 00:34:04,720 --> 00:34:09,119 ones and one is very numeric based. It's just based 560 00:34:09,159 --> 00:34:13,599 on their age with the compared to the average age 561 00:34:13,599 --> 00:34:16,480 of the league that they play with them, and that 562 00:34:16,480 --> 00:34:19,559 gives us a value. And then the other one is 563 00:34:19,599 --> 00:34:26,559 a more arbitrary number that I've assigned to their league 564 00:34:26,599 --> 00:34:29,400 that they play within, just based on how easy it 565 00:34:29,480 --> 00:34:33,400 is to actually produce in those leagues. So one off 566 00:34:33,400 --> 00:34:35,400 the top right here that we can see, because it's 567 00:34:35,480 --> 00:34:39,639 organized by how many based fantasy points players get, so 568 00:34:39,679 --> 00:34:42,519 we get all like CHL players will rise to the 569 00:34:42,559 --> 00:34:47,840 top there, and same with like MHL and your J 570 00:34:48,039 --> 00:34:51,760 twenty leagues like these, the euro minor leagues have the 571 00:34:51,840 --> 00:34:57,599 lowest weights and then followed by EHL, so it goes 572 00:34:57,679 --> 00:35:01,440 ECHL is the lowest weight, and then we have your 573 00:35:01,480 --> 00:35:05,519 euro minor leagues and your QMJHL, and then we have 574 00:35:05,599 --> 00:35:11,400 the NTDP and thea USHL comes in next, and then 575 00:35:12,079 --> 00:35:17,599 that's pretty even keel with the WHL and in the OHL, 576 00:35:18,360 --> 00:35:22,679 those are all pretty even keel. Slight variation between us 577 00:35:22,880 --> 00:35:27,920 HL and WHL, with the WHL being I'm considering it 578 00:35:27,960 --> 00:35:32,079 a little bit stronger than the USHL, but I'm totally 579 00:35:32,119 --> 00:35:35,480 happy to hear thoughts. But i just think the competition 580 00:35:35,679 --> 00:35:38,199 level and the CHL is just a little bit higher, 581 00:35:38,239 --> 00:35:40,039 the skill level is just a little bit higher than 582 00:35:40,039 --> 00:35:45,320 what we've seen in the USHL us HL historically. And 583 00:35:45,360 --> 00:35:50,360 then I have European semi pro leagues coming in above that, 584 00:35:50,559 --> 00:35:55,039 so we have like your VHL, your as Fenskin, those 585 00:35:55,079 --> 00:35:58,400 secondary leagues like that, and then we have your professional 586 00:35:58,480 --> 00:36:04,440 leagues Austria, prot THRO, your Norway, your Germany Swiss League, 587 00:36:05,159 --> 00:36:09,559 and then above that we have Liga above that SHL 588 00:36:10,199 --> 00:36:17,159 and then KHL, and the AHL is the third highest 589 00:36:18,079 --> 00:36:21,079 value for that'll give you a little bit of boost 590 00:36:21,119 --> 00:36:23,800 on your points above replacement, where all the other ones 591 00:36:24,800 --> 00:36:28,199 will reduce it on a varying scale. That I just 592 00:36:28,239 --> 00:36:31,199 went through there from bottom to top, but it goes 593 00:36:31,320 --> 00:36:37,559 KHL SHL AHL being the strongest. So that's one big 594 00:36:37,599 --> 00:36:40,599 assumption I have to make. But it's again through a 595 00:36:40,599 --> 00:36:41,320 lot of tweaking. 596 00:36:43,119 --> 00:36:45,360 Speaker 3: Yeah, so a lot of assumptions, a lot of tweak 597 00:36:45,400 --> 00:36:47,480 And I remember you first came to me with one 598 00:36:47,480 --> 00:36:50,039 of your iterations, and of course, like I said earlier, 599 00:36:50,480 --> 00:36:52,199 you got to do the smell test, and so I 600 00:36:52,239 --> 00:36:56,159 looked at it and this was definitely not as straightforward 601 00:36:56,280 --> 00:36:59,800 as the pro level because that's just looking at what's 602 00:36:59,840 --> 00:37:02,320 going on in the league. And there were definitely some 603 00:37:02,440 --> 00:37:04,440 names that stood out a little bit, and I know, 604 00:37:04,480 --> 00:37:06,599 I don't know. We had some discussion about those. And 605 00:37:06,960 --> 00:37:09,559 you anytime you see a list like this, it's always 606 00:37:10,119 --> 00:37:13,480 there's always going to be some potential outliers and is 607 00:37:13,519 --> 00:37:17,079 that really who the top prospect is? And then looking 608 00:37:17,079 --> 00:37:19,840 at your list now, it's it's also a little bit 609 00:37:20,400 --> 00:37:22,840 mixed because you have some guys that are there in 610 00:37:22,880 --> 00:37:27,239 so many different leagues, from KHL to NCUBA to HL 611 00:37:27,360 --> 00:37:29,639 and s HL. It's like, how do you compare all 612 00:37:29,679 --> 00:37:33,639 these And everyone can always quibble with lists, but to me, 613 00:37:33,800 --> 00:37:36,800 this doesn't seem too far off, you have mid then 614 00:37:36,800 --> 00:37:39,199 this is based on last year, right, so it's yes, 615 00:37:40,880 --> 00:37:43,280 so last year, so we have Mitch Goff number one. 616 00:37:43,320 --> 00:37:47,639 That's Celabrini, stank Covin based on his HL time Cutter, 617 00:37:47,719 --> 00:37:52,119 Gotier oln Zelwegor Ryan, Leonard, Alexander Nikeishin. Maybe that's low 618 00:37:52,159 --> 00:37:55,199 for some people, but he's right in there, top eight 619 00:37:55,280 --> 00:38:00,280 or whatever, alexil sending Pelika Daniel, you're off well, Smith, 620 00:38:00,280 --> 00:38:04,360 you're cooler there, Jonathan Karamaki, Berkeley Catton, Dylan gun Thorliam Ogrin. 621 00:38:04,679 --> 00:38:06,519 But you look at this list and it's okay. There 622 00:38:06,559 --> 00:38:10,599 are certainly some guys that maybe you might think would 623 00:38:10,639 --> 00:38:14,280 be higher than others, but it's not totally wild or 624 00:38:14,280 --> 00:38:16,960 out of order. And obviously, like you said, there were 625 00:38:17,000 --> 00:38:20,280 some assumptions made. But the first time I looked at it, 626 00:38:20,280 --> 00:38:22,000 I remember thinking like, oh, there were some guys that 627 00:38:22,119 --> 00:38:24,679 seemed a little off, and I can't remember which tweaks 628 00:38:24,719 --> 00:38:28,760 you made, but they're definitely this seems a bit more reasonable. 629 00:38:29,280 --> 00:38:31,480 Speaker 1: One of the biggest tweaks that I made was giving 630 00:38:31,519 --> 00:38:34,840 it a putting a lot of weight on more of 631 00:38:34,880 --> 00:38:41,760 the numeric based weights rather than my subjective ones. So 632 00:38:41,960 --> 00:38:45,760 for example, like the age comparative to the average age 633 00:38:45,800 --> 00:38:48,079 within the league. So far. In the COCHL, you have 634 00:38:48,159 --> 00:38:50,960 such a small range of players there that it doesn't 635 00:38:51,000 --> 00:38:53,599 like tip the scale much. It's more of a neutral waiting. 636 00:38:54,000 --> 00:38:56,800 But when you go into the pro leagues, it's gonna 637 00:38:57,159 --> 00:38:59,320 carry that a little bit. And yeah, I just had 638 00:38:59,360 --> 00:39:02,119 to make a few weeks here and there based on 639 00:39:02,840 --> 00:39:07,320 league specifics and just make it look the eye test. 640 00:39:07,880 --> 00:39:09,719 There was a lot of work done in the ipess here, 641 00:39:09,719 --> 00:39:13,519 but one you mentioned Dylan Gunthler there on the top 642 00:39:14,360 --> 00:39:19,199 of the M suee list just M for Minor, but 643 00:39:19,400 --> 00:39:24,679 Dylan gunl actually qualified for both the NHL version and 644 00:39:24,719 --> 00:39:27,719 the Prospect version, which I thought was that would be 645 00:39:27,760 --> 00:39:31,159 an interesting highlight there on. He got eighty eight percent 646 00:39:31,800 --> 00:39:36,880 eighty eight point ten, which is really high, and he 647 00:39:36,960 --> 00:39:40,280 clocked in on his production tier was tier four and 648 00:39:40,360 --> 00:39:43,000 this is in the NHL, so eighty eight point ten 649 00:39:43,559 --> 00:39:47,400 on tier four and within tier four he was the 650 00:39:47,440 --> 00:39:51,559 best player, So he would have basically been at the 651 00:39:51,599 --> 00:39:55,519 bottom of tier three if he'd maybe scored one more goal, 652 00:39:56,079 --> 00:39:59,159 and that would have been with players like Cardi ver Hagy, 653 00:40:00,159 --> 00:40:06,760 Boldie Boone, Jenner, Jasper Bratt, so he was right there, 654 00:40:07,199 --> 00:40:11,639 and then in the AHL, he what did he clock 655 00:40:11,719 --> 00:40:14,920 in there? He was ninety eight point four percent in 656 00:40:14,960 --> 00:40:18,280 the AHL, and that made him the fourteenth best overall 657 00:40:18,800 --> 00:40:24,320 skater and the eleventh best forward for that. So, yeah, 658 00:40:24,360 --> 00:40:27,280 you can see how that ninety eight point four percent 659 00:40:27,320 --> 00:40:34,199 from the AHL gave him a really strong spot to 660 00:40:34,280 --> 00:40:36,639 jump off of. In the NHL, we're seeing the same 661 00:40:36,639 --> 00:40:40,960 thing happen for Stankovin and that's again from the AHL. 662 00:40:41,039 --> 00:40:47,280 So that's why in this metric, I wait, those European 663 00:40:47,320 --> 00:40:51,360 pro leagues and the AHL is the top three highest ones, 664 00:40:51,440 --> 00:40:57,239 followed by LIGA. So I think with that in mind, 665 00:40:57,400 --> 00:41:02,960 that's where most people might get for on their opinions, because, 666 00:41:03,000 --> 00:41:05,480 like we say, there are so many leagues in the world, 667 00:41:05,559 --> 00:41:09,639 and you might think the large ice versus North American 668 00:41:09,679 --> 00:41:12,920 ice is a big thing to get over, and in 669 00:41:12,960 --> 00:41:17,920 my model, based on my numbers, it illustrates that I 670 00:41:17,960 --> 00:41:24,119 don't agree with that. Guys like Mackie liam Ogrin, Maverick 671 00:41:24,559 --> 00:41:28,440 Ork another AHL guy, these guys made it pretty high 672 00:41:28,519 --> 00:41:32,400 up there, and stank Ogen was top three. 673 00:41:34,239 --> 00:41:36,000 Speaker 2: Yeah, no, it's good. 674 00:41:36,000 --> 00:41:38,119 Speaker 3: And in case anybody didn't hear that, I just want 675 00:41:38,119 --> 00:41:41,119 to reiterate this isn't just like an NHL E P 676 00:41:41,199 --> 00:41:44,440 and h LE model or anything like that. 677 00:41:43,679 --> 00:41:45,000 Speaker 2: That is baked into it. 678 00:41:45,519 --> 00:41:48,119 Speaker 3: But the bigger thing that I think makes this really 679 00:41:48,119 --> 00:41:51,760 interesting is you're looking at those hard to find stats 680 00:41:51,880 --> 00:41:55,440 that they're doing in the junior levels, right, So you're 681 00:41:55,480 --> 00:41:57,559 looking at how much they're whatever. 682 00:41:57,559 --> 00:41:59,440 Speaker 2: You're like, whatever your league is valuing. 683 00:41:59,559 --> 00:42:03,119 Speaker 3: So if they shoot hit block you said, takeaways instead, 684 00:42:03,199 --> 00:42:05,280 has so many numbers in there that if your league 685 00:42:05,400 --> 00:42:09,199 has a category for it, they probably track it. As 686 00:42:09,239 --> 00:42:11,639 you said, sometimes there could be one or two here 687 00:42:11,719 --> 00:42:14,599 that might be more difficult, But I think that's a 688 00:42:14,639 --> 00:42:18,079 really valuable tool that you can if you can know 689 00:42:18,239 --> 00:42:20,840 that someone is going to be potentially more valuable in. 690 00:42:20,800 --> 00:42:22,360 Speaker 2: Your league based on the settings. 691 00:42:22,559 --> 00:42:25,000 Speaker 3: This list is maybe not how I would organize some 692 00:42:25,039 --> 00:42:28,519 of these guys, but taken into account the league's settings 693 00:42:28,519 --> 00:42:30,239 and what it values and what they're already doing in 694 00:42:30,280 --> 00:42:33,800 their junior levels, it's hard to argue that this might 695 00:42:33,880 --> 00:42:36,280 be pretty accurate. And like you were saying, like we 696 00:42:36,320 --> 00:42:39,079 were saying before the cheek code, okay, you could target 697 00:42:39,119 --> 00:42:41,679 some of these guys. Maybe somebody doesn't feel as strongly 698 00:42:42,199 --> 00:42:46,320 about your off or or Caten or Gunther as we 699 00:42:46,320 --> 00:42:48,360 were talking about, and you might be able to get 700 00:42:48,400 --> 00:42:50,320 them for a good value. 701 00:42:51,519 --> 00:42:54,679 Speaker 1: Yeah, And that's what I built this for, is because 702 00:42:54,920 --> 00:42:58,639 with prospect data like we we don't, we can't really 703 00:42:58,679 --> 00:43:01,280 see how valuable that is going to be in our 704 00:43:01,320 --> 00:43:04,480 fantasy league. Because all of our fantasy leagues count different things. 705 00:43:04,840 --> 00:43:09,480 My fantasy league is very like banger and peripheral heavy. Actually, 706 00:43:09,519 --> 00:43:12,039 I guess it would be pretty interesting to know exactly 707 00:43:12,039 --> 00:43:15,840 what my scoring settings are. But I've acquired a lot 708 00:43:15,880 --> 00:43:19,719 of prospects and traded a lot of prospects through this. 709 00:43:19,800 --> 00:43:22,519 I've also put a lot of prospects on my radar 710 00:43:22,639 --> 00:43:27,360 to just watch. For example, heading into this season, I 711 00:43:27,400 --> 00:43:32,840 was extremely interested in Dimitri Bhuchelnikov. He had a solid 712 00:43:32,920 --> 00:43:35,440 year in the KHL. A lot of young players had 713 00:43:35,440 --> 00:43:38,360 a solid year in the KHL last year. His was solid, 714 00:43:38,480 --> 00:43:43,320 and he also was very strong peripherally and he shoots 715 00:43:43,320 --> 00:43:47,639 a lot that sort of thing, and he got ninety 716 00:43:47,679 --> 00:43:51,960 four percent here and he was the forty eighth ranked forward. 717 00:43:52,000 --> 00:43:54,719 And that was last year, and if you check him 718 00:43:54,760 --> 00:43:59,239 out this year, he's basically point per game in the KHL. 719 00:43:59,360 --> 00:44:03,800 Right now, that would have put him basically where Mitchkov 720 00:44:04,760 --> 00:44:08,239 and Ni Kishon and Sending. I mean, Sanon Palaic is 721 00:44:08,239 --> 00:44:11,000 a defenseman. He didn't score as much, but because he's 722 00:44:11,000 --> 00:44:12,760 a defenseman, he got that bonus. But he would have 723 00:44:12,800 --> 00:44:15,960 been in that basically where Mitchkov is because Mitchkov scored 724 00:44:16,000 --> 00:44:18,400 at the same rate and shot like a monster as well. 725 00:44:20,519 --> 00:44:22,320 Speaker 2: Yeah, for sure. So let me just say the name 726 00:44:22,320 --> 00:44:23,280 again be kill Nikov. 727 00:44:23,440 --> 00:44:23,760 Speaker 1: That's it. 728 00:44:23,880 --> 00:44:27,760 Speaker 3: Sorry, Okay, Yeah, no, I can really help identify some 729 00:44:27,800 --> 00:44:30,519 guys like that. I think rather than going over your 730 00:44:30,599 --> 00:44:33,480 league setting, I think what's interesting about this is just 731 00:44:33,719 --> 00:44:35,159 that it can be so customized. 732 00:44:35,239 --> 00:44:35,360 Speaker 2: Right. 733 00:44:35,400 --> 00:44:38,360 Speaker 3: It doesn't really matter necessarily what your settings are, but 734 00:44:38,400 --> 00:44:41,480 the fact is that you could build something like this 735 00:44:41,960 --> 00:44:43,000 for any. 736 00:44:42,920 --> 00:44:46,920 Speaker 1: League, right Yeah, And I think pretty much anyone could. 737 00:44:46,960 --> 00:44:49,079 And I think that's what's so great about all the data, 738 00:44:49,159 --> 00:44:51,239 And like I said, off the top of this, just 739 00:44:51,280 --> 00:44:53,679 being in the discord and talking to so many people, 740 00:44:53,800 --> 00:44:58,119 and the league that I'm doing this for is that's 741 00:44:58,119 --> 00:45:01,480 a league that I commissioned, and that's because I had 742 00:45:01,519 --> 00:45:04,119 a few years of doing dynasty leagues and being in 743 00:45:04,199 --> 00:45:07,239 discords and stuff. So just following that kind of gut 744 00:45:07,280 --> 00:45:10,039 feeling that you have really helpful, like I made a 745 00:45:10,079 --> 00:45:13,079 lot of acquisitions based on this and found a lot 746 00:45:13,119 --> 00:45:16,840 of value that maybe other people may have been overlooking. 747 00:45:17,400 --> 00:45:21,400 I did think it would be maybe just good to 748 00:45:21,840 --> 00:45:25,800 highlight like how peripherally heavy my league is, just so 749 00:45:25,880 --> 00:45:28,800 people know what why these numbers are what they are. 750 00:45:28,840 --> 00:45:31,800 But for example, assists are like two and a half points, 751 00:45:31,800 --> 00:45:33,679 and a goal is four points, and then a hit 752 00:45:33,760 --> 00:45:37,480 would be zero point four and a shot on goal 753 00:45:37,559 --> 00:45:40,639 would be point three. So like those peripherals, they add 754 00:45:40,719 --> 00:45:42,480 up really fast, and I'm not going to go through 755 00:45:42,519 --> 00:45:44,400 them all, but just for example, that's how it is. 756 00:45:44,480 --> 00:45:47,280 So goals and assists are still it's still primarily a 757 00:45:47,320 --> 00:45:52,280 points league, but bangers are considered quite a lot. And 758 00:45:52,559 --> 00:45:54,440 with that in mind, a few of the guys that 759 00:45:54,519 --> 00:45:59,599 I personally targeted after I finalized and was happy with 760 00:46:00,400 --> 00:46:04,760 how this looked was Liam Ogrin, who came in really high, 761 00:46:04,840 --> 00:46:07,519 had a great year. I wonder how he would have 762 00:46:07,559 --> 00:46:09,800 done if he played a whole season, because he was 763 00:46:09,840 --> 00:46:13,239 injured for a good chunk of it, but during that 764 00:46:13,320 --> 00:46:15,199 time he played, he had a great year, and he 765 00:46:15,280 --> 00:46:20,119 ranked fifteen overall as a skater on this metric, I 766 00:46:20,159 --> 00:46:26,280 got Pelica. I traded a pretty good player. I traded alert. 767 00:46:26,559 --> 00:46:29,039 I traded Nick. Sorry, I'm gonna butcher a lot of names. 768 00:46:29,039 --> 00:46:32,000 I traded Nick Eelers. I heard that's how you say it. 769 00:46:32,039 --> 00:46:37,280 I traded Nick Eelers for Sanding Pelica and two seconds. 770 00:46:37,360 --> 00:46:40,559 It's not the best, maybe you'd say, but sandin Pelica 771 00:46:40,599 --> 00:46:42,400 is a point per game basically right now in the 772 00:46:42,519 --> 00:46:46,679 SHL as a right handed defenseman, So that's fantastic. I 773 00:46:46,719 --> 00:46:49,840 traded first and a second for Josh Walla's thirty two team. 774 00:46:49,920 --> 00:46:53,199 And the first is twenty twenty five, and it's very late, 775 00:46:53,239 --> 00:46:55,920 and it has so many conditions on it. No one 776 00:46:56,000 --> 00:46:59,760 wanted it. So I traded that for Josh Waw because 777 00:46:59,800 --> 00:47:03,079 I found I figured that would be a good bet. 778 00:47:03,119 --> 00:47:07,320 At ninety four percent m swee forty six overall as 779 00:47:07,360 --> 00:47:10,400 a skater, he probably will project really nicely if he 780 00:47:10,440 --> 00:47:13,760 gets opportunity. Montreal's a little crowded, but that's why the 781 00:47:13,800 --> 00:47:15,719 guy wanted to move him. So I jumped on that 782 00:47:15,840 --> 00:47:18,039 a bit of a by low, and then I drafted 783 00:47:18,119 --> 00:47:22,920 Yakamchuk with this in mind as well. I didn't know. 784 00:47:23,000 --> 00:47:25,719 I didn't have this around the draft, but I drafted 785 00:47:26,320 --> 00:47:28,920 Yakiamchuck just knowing that he hit a lot. All I 786 00:47:28,960 --> 00:47:31,920 read was that he was a crazy, wrecking ball shooting 787 00:47:31,960 --> 00:47:35,519 machine hit a ton. I drafted him, and then once 788 00:47:35,559 --> 00:47:39,199 I finalized this metric, he came in as the eighth 789 00:47:39,400 --> 00:47:44,440 ranked defenseman on MSUEE and the twenty fifth overall skater 790 00:47:44,599 --> 00:47:46,800 at ninety seven percent. I was really happy to see 791 00:47:46,800 --> 00:47:51,199 that my hunt was right at least on this regard. 792 00:47:51,559 --> 00:47:53,719 Speaker 3: So as we wind down here, Arden, I just wanted 793 00:47:53,719 --> 00:47:57,320 to thank you again, and we had a little discussion 794 00:47:57,559 --> 00:48:01,280 about how some people might be interested in this, and 795 00:48:01,440 --> 00:48:05,360 I know you're generous enough to offer a few people 796 00:48:05,599 --> 00:48:08,440 three who might want to see what this looks like 797 00:48:08,480 --> 00:48:12,039 for their league, and we're going to open that to 798 00:48:12,119 --> 00:48:16,320 the first three people who contact me, but the catches 799 00:48:16,360 --> 00:48:19,280 you have to be an ultralifer of Fantasy Hockey Life patrons. 800 00:48:19,280 --> 00:48:22,840 So if you're an ultralifer, then contact me if you 801 00:48:22,880 --> 00:48:26,280 want Arden to run his suite index his m suite 802 00:48:26,599 --> 00:48:29,960 for your prospects and see who might be interesting and 803 00:48:30,039 --> 00:48:33,440 maybe someone that you've overlooked. So once you hear it 804 00:48:33,679 --> 00:48:36,719 first three people you'll and we'll give them some time. Obviously, 805 00:48:37,320 --> 00:48:40,079 we won't give you like a hard deadline, arden, but 806 00:48:40,360 --> 00:48:42,360 at some point when you can do it and we'll 807 00:48:42,360 --> 00:48:44,320 get the settings from the people who respond. 808 00:48:44,320 --> 00:48:45,000 Speaker 2: How does that sound? 809 00:48:45,840 --> 00:48:48,039 Speaker 1: That sounds great? Yeah, So all I would need in 810 00:48:48,079 --> 00:48:54,679 that case would be just your scoring settings and also 811 00:48:55,639 --> 00:49:00,320 a list of all the roster players in your You 812 00:49:00,360 --> 00:49:03,960 can just give me the xl V of that, and 813 00:49:04,039 --> 00:49:08,320 that's going to help me identify which prospects are rostered 814 00:49:08,400 --> 00:49:11,599 in your league, which is crucial to making the metric. 815 00:49:12,719 --> 00:49:14,280 And that's all I need, and I can do three 816 00:49:14,320 --> 00:49:17,199 of those, and then if you'd rather me do it 817 00:49:17,280 --> 00:49:20,599 for NHL players, I can do that instead prospects or 818 00:49:20,679 --> 00:49:24,440 NHL players, whichever you'd prefer. And if you have any 819 00:49:24,519 --> 00:49:29,599 questions about any of this, just shoot Victor a message 820 00:49:29,679 --> 00:49:30,840 and we're always chatting. 821 00:49:32,559 --> 00:49:34,480 Speaker 3: Yeah, and thanks so much for doing this. Maybe we'll 822 00:49:34,480 --> 00:49:36,639 have you back on at some point and talk about 823 00:49:36,800 --> 00:49:38,920 a tidy or something that could be fun to look at. 824 00:49:39,719 --> 00:49:43,239 Speaker 1: Yeah, I'm actually in the tidy and I am using 825 00:49:43,320 --> 00:49:46,800 this metric there watch out, and yeah, it would be 826 00:49:46,880 --> 00:49:50,599 it would be fun to break down how this translates 827 00:49:50,639 --> 00:49:53,800 to that, because I know you guys it's tiered, which 828 00:49:53,840 --> 00:49:56,559 is really interesting and there's a lot of people, a 829 00:49:56,639 --> 00:49:58,199 lot of listeners in there. 830 00:49:59,400 --> 00:50:03,039 Speaker 3: Yeah, that the tearing certainly changes the value because some 831 00:50:03,079 --> 00:50:06,480 guys even looking at your list, who might not be 832 00:50:06,559 --> 00:50:09,400 ready for three or four years, that changes the valuation 833 00:50:09,480 --> 00:50:13,119 and tidy because you might not want to wait for them. Yeah, 834 00:50:13,159 --> 00:50:15,840 you're also going to experience something that I'm experiencing, which 835 00:50:15,880 --> 00:50:19,000 is that you end up having to play poker with 836 00:50:19,079 --> 00:50:21,639 the cards facing out when you have your list and 837 00:50:21,679 --> 00:50:22,840 everybody else's hands. 838 00:50:23,360 --> 00:50:24,440 Speaker 2: It's a bit ye difficult. 839 00:50:24,480 --> 00:50:29,280 Speaker 1: I know. Right. We mentioned Dmitri, the Detroit second rounder, 840 00:50:29,559 --> 00:50:33,280 and I've actually been hounding the guy that sent in 841 00:50:33,320 --> 00:50:34,119 my league. 842 00:50:33,840 --> 00:50:35,360 Speaker 2: Just trying to get him. 843 00:50:35,519 --> 00:50:36,480 Speaker 1: So we'll see how. 844 00:50:37,880 --> 00:50:39,400 Speaker 2: He might not want to if he listens to this. 845 00:50:39,480 --> 00:50:39,719 Speaker 3: Fuck. 846 00:50:39,960 --> 00:50:40,239 Speaker 1: Yeah. 847 00:50:40,760 --> 00:50:42,559 Speaker 2: Thanks, thanks so much for doing this. 848 00:50:42,679 --> 00:50:45,840 Speaker 3: Really appreciate all the insights and how to and thanks 849 00:50:45,840 --> 00:50:46,320 for your chime. 850 00:50:46,960 --> 00:50:48,400 Speaker 1: Thank you so much for having me on here. 851 00:50:58,559 --> 00:50:59,239 Speaker 3: That's it today. 852 00:50:59,280 --> 00:51:02,159 Speaker 4: We'll keep it the little shorter, a little sweeter, and 853 00:51:02,599 --> 00:51:05,280 we're here to remind you are shows brought to you 854 00:51:05,320 --> 00:51:08,199 by fan tracks. You can move leagues over there, or 855 00:51:08,400 --> 00:51:11,119 you can start new leagues. There's so many cool different 856 00:51:11,199 --> 00:51:13,880 customizations you can have there. There's a free version, there's 857 00:51:13,920 --> 00:51:16,320 a paid version, but if you're going to play Dynasty, 858 00:51:16,480 --> 00:51:20,519 it's really the only site you want to be associated with. 859 00:51:22,000 --> 00:51:25,159 Fan Tracks HQ, which you see the little articles pop 860 00:51:25,239 --> 00:51:27,480 up on the right hand side of your page when 861 00:51:27,519 --> 00:51:30,079 you're in there setting your rosters. They've got position ranks 862 00:51:30,159 --> 00:51:34,960 up from our crew of fantasy writers and all kinds 863 00:51:35,000 --> 00:51:38,920 of stuff even for other fantasy sports. FHL is a team, 864 00:51:39,400 --> 00:51:44,679 and the Tidy Commissioner duties are one of the biggest responsibilities, 865 00:51:44,719 --> 00:51:47,639 in fact, so responsible, so much to do that we've 866 00:51:47,639 --> 00:51:52,639 got four people doing it. Tim Ryan Simone, and craftser 867 00:51:52,800 --> 00:51:57,519 are all a part of the Tidy Commissioner team. Jeremy 868 00:51:57,639 --> 00:52:01,239 V and Tony our co lead scout who are going 869 00:52:01,280 --> 00:52:04,079 to organize all the different scouting reports that you get 870 00:52:04,079 --> 00:52:06,360 when you come back. Behind the scenes. Brandon is our 871 00:52:06,400 --> 00:52:09,519 website guru. A scout helps with the prospect ranks and 872 00:52:09,639 --> 00:52:13,480 visualizations like the famous Fantasy Hockey Live player cards. If 873 00:52:13,480 --> 00:52:17,280 you've got skills you'd like to lend the show, Victor 874 00:52:17,360 --> 00:52:20,480 would love to hear from you. Find him in the discord, 875 00:52:20,599 --> 00:52:24,559 find him on email, or find him on x We're 876 00:52:24,599 --> 00:52:27,400 also brought to you by Daber Hockey Daber Prospects. Victor 877 00:52:27,440 --> 00:52:29,760 is an editor there. I write there as a scout 878 00:52:29,800 --> 00:52:32,800 for the well I'm not a scout a writer on 879 00:52:32,880 --> 00:52:36,800 the Nashville Predator, shall we say. But Victor's work is 880 00:52:36,880 --> 00:52:41,679 all over Dabber Prospects and he does the other podcast 881 00:52:41,719 --> 00:52:45,440 that he does, Daber Prospects Report, with one Peter Harling. 882 00:52:45,679 --> 00:52:50,679 It's essential listening if you're thinking about prospects only check 883 00:52:50,679 --> 00:52:52,880 out Victor's articles at EP ring sidet. He's part of 884 00:52:52,920 --> 00:52:56,039 the fantasy team with Cam Robinson and Mike Clifford. I 885 00:52:56,119 --> 00:52:58,840 do a solo show, Dynasty Sports Life. I talk for 886 00:52:58,960 --> 00:53:05,239 different Dynasty sports. It's overlapping sometimes because dynasty sports is 887 00:53:05,360 --> 00:53:09,199 just my favorite hobby and there is significant connection between 888 00:53:09,239 --> 00:53:11,960 different sports. If you ask me, follow us on x 889 00:53:12,159 --> 00:53:15,360 at fan Hockey Life is me at Victor Newno. Twelve 890 00:53:15,480 --> 00:53:19,320 v c tr n U n O one two is 891 00:53:19,360 --> 00:53:24,119 how to find Victor, rate and review us on Apple Pods, Spotify, 892 00:53:24,239 --> 00:53:27,239 wherever else you get podcasts. We appreciate five stars and 893 00:53:27,280 --> 00:53:29,519 a couple of kind words. It's almost time for the 894 00:53:29,559 --> 00:53:32,960 regular season. We know you're out there listening because this 895 00:53:33,280 --> 00:53:37,119 is the time for everybody to be living that fantasy 896 00:53:37,199 --> 00:53:44,400 hockey life