No, but repeatable, long-term patterns are worth paying attention to.
WR's who break out in Year 1 are GOLD JERRY, GOLD!
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
10-team Superflex, 0.5 PPR, 15-man rosters, pseudo-dynasty
Keep any number of players (0-15), lose same number of draft picks
2010, 2015, 2020 - , 2013 -
QB, 2RB, 2WR, TE, SF, FLEX, D/ST
QB: Dak, Watson
RB: Swift, Robinson Jr, Singletary, Brown, Hubbard, Zeus, Herbert
WR: Wilson, Olave, Pickens, Aiyuk
TE: Pitts, LaPorta
D/ST:
Keep any number of players (0-15), lose same number of draft picks
2010, 2015, 2020 - , 2013 -
QB, 2RB, 2WR, TE, SF, FLEX, D/ST
QB: Dak, Watson
RB: Swift, Robinson Jr, Singletary, Brown, Hubbard, Zeus, Herbert
WR: Wilson, Olave, Pickens, Aiyuk
TE: Pitts, LaPorta
D/ST:
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Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
This exactly. I don't object to looking at things like this, they are useful, but they tend to tell us what we already know. If you have a great rookie season you tend to have a better career than a player who doesn't. If you breakout early in college, dominate your offense statistically, and get drafted early, you have a pretty good chance at success.PR0v3 wrote: ↑Wed Oct 28, 2020 9:28 amYep. This is my problem with the analytics crowd, they do the same thing with dominator rating + draft capital. Past results are not indicative of future performance. You can’t just take X% results and attribute that as the odds of the same thing occuring in the future. That’s not how statistics work.skinfanjon wrote: ↑Wed Oct 28, 2020 6:42 amAgree with the sentiment here but its important to note these are not ODDS. They are recent results. Big difference.jjleurquin wrote: ↑Tue Oct 27, 2020 10:44 pm
This is one resource of many. While this isn't the end all be all it should give you insights. Context is important as Davante Adams had 2 solid vets in front of him both seasons in Nelson/Cobb and James Jones/Cobb. The rookie that is in the most similar situation this season is Gabe Davis as he has not only 2 but 3 solid vets there in front of him. Claypool is probably in a similar spot too. Do of that what you will.
I just don't see how seeing this upsets people and makes them point out every player who didn't perform well right away. These odds are not opinions and they don't really care about how anyone feels about them. This is a nice resource for everyone.
The boxes these players are being put in are not odds of future performance, they are the historical results of different players given selected variables. The “odds” for current players looking forward are unique for each player/individual given their specific circumstances.
The pending correction for Claypool highlights one of the short comings though. So because he is averaging one less yard per game, his % of success drops by what, 25 or 30% (whatever the number, not scrolling back to find it)? Kinda silly. This is why statistical models are not *predictive*, which is what it means to say such and such has an X% chance of 3 1k seasons in their career. It's good to know what the results of past seasons have to say about it, but putting any kind of percentage on the likelihood of it happening in a single instance is something the model is not capable of.
Anyway, not trying to crap on the information. It's useful to know.
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
Yep, these models or studies are not too much different than flipping a coin 10 times, landing heads 7 times, and saying the odds of flipping heads is 70%. That's not how it works. The mathematical proof of a coin flip being 50/50 is what is predictive, the past coin flip results are meaningless going forwards.skinfanjon wrote: ↑Wed Oct 28, 2020 12:04 pmThis exactly. I don't object to looking at things like this, they are useful, but they tend to tell us what we already know. If you have a great rookie season you tend to have a better career than a player who doesn't. If you breakout early in college, dominate your offense statistically, and get drafted early, you have a pretty good chance at success.PR0v3 wrote: ↑Wed Oct 28, 2020 9:28 amYep. This is my problem with the analytics crowd, they do the same thing with dominator rating + draft capital. Past results are not indicative of future performance. You can’t just take X% results and attribute that as the odds of the same thing occuring in the future. That’s not how statistics work.skinfanjon wrote: ↑Wed Oct 28, 2020 6:42 am
Agree with the sentiment here but its important to note these are not ODDS. They are recent results. Big difference.
The boxes these players are being put in are not odds of future performance, they are the historical results of different players given selected variables. The “odds” for current players looking forward are unique for each player/individual given their specific circumstances.
The pending correction for Claypool highlights one of the short comings though. So because he is averaging one less yard per game, his % of success drops by what, 25 or 30% (whatever the number, not scrolling back to find it)? Kinda silly. This is why statistical models are not *predictive*, which is what it means to say such and such has an X% chance of 3 1k seasons in their career. It's good to know what the results of past seasons have to say about it, but putting any kind of percentage on the likelihood of it happening in a single instance is something the model is not capable of.
Anyway, not trying to crap on the information. It's useful to know.
Obviously we don't have a way too proof out each individuals player's mathematical odds of success, so people have sort of fallen into this faux-statistical process. In reality, whatever numbers Corey Coleman, Calvin Johnson, Julio Jones, or Darrius Heyward-Bey posted are completely irrelevant to the outcomes of Ceedee Lamb, Aiyuk, or Claypool. The only thing that matters is what these individual guys can do on the field.
Obviously it's nice to know what success/failures looked like in the past, but there's not really anything predictive about it.
12 Team .5 PPR - 1 QB, 2 RB, 2 WR, 1 TE, 1 WR/RB 20 man rosters, 5 man taxi est. 2018
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
If the sample size was 10 you'd have an apt comparison.PR0v3 wrote: ↑Wed Oct 28, 2020 12:37 pmYep, these models or studies are not too much different than flipping a coin 10 times, landing heads 7 times, and saying the odds of flipping heads is 70%. That's not how it works. The mathematical proof of a coin flip being 50/50 is what is predictive, the past coin flip results are meaningless going forwards.skinfanjon wrote: ↑Wed Oct 28, 2020 12:04 pmThis exactly. I don't object to looking at things like this, they are useful, but they tend to tell us what we already know. If you have a great rookie season you tend to have a better career than a player who doesn't. If you breakout early in college, dominate your offense statistically, and get drafted early, you have a pretty good chance at success.PR0v3 wrote: ↑Wed Oct 28, 2020 9:28 am
Yep. This is my problem with the analytics crowd, they do the same thing with dominator rating + draft capital. Past results are not indicative of future performance. You can’t just take X% results and attribute that as the odds of the same thing occuring in the future. That’s not how statistics work.
The boxes these players are being put in are not odds of future performance, they are the historical results of different players given selected variables. The “odds” for current players looking forward are unique for each player/individual given their specific circumstances.
The pending correction for Claypool highlights one of the short comings though. So because he is averaging one less yard per game, his % of success drops by what, 25 or 30% (whatever the number, not scrolling back to find it)? Kinda silly. This is why statistical models are not *predictive*, which is what it means to say such and such has an X% chance of 3 1k seasons in their career. It's good to know what the results of past seasons have to say about it, but putting any kind of percentage on the likelihood of it happening in a single instance is something the model is not capable of.
Anyway, not trying to crap on the information. It's useful to know.
Obviously we don't have a way too proof out each individuals player's mathematical odds of success, so people have sort-of fallen into this faux-statistical process. In reality, whatever numbers Corey Coleman, Calvin Johnson, Julio Jones, or Darrius Heyward-Bey posted are completely irrelevant to the outcomes of Ceedee Lamb, Aiyuk, or Claypool. The only thing that matters is what these guys can do on the field.
The chance that you flip at least 7 coins in 10 tries is 17.19%, the odds of flipping 126 (or more) heads in 180 tries (70%) is so small the number would break your calculator.
Sure, the chance that it is the result of random chance is there. But so is the chance that reality randomly poofs within the next second.
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Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
The difference is you're talking about a quarter and all quarters are the same. Players and their situations vary wildly.Sriracha wrote: ↑Wed Oct 28, 2020 12:44 pmIf the sample size was 10 you'd have an apt comparison.PR0v3 wrote: ↑Wed Oct 28, 2020 12:37 pmYep, these models or studies are not too much different than flipping a coin 10 times, landing heads 7 times, and saying the odds of flipping heads is 70%. That's not how it works. The mathematical proof of a coin flip being 50/50 is what is predictive, the past coin flip results are meaningless going forwards.skinfanjon wrote: ↑Wed Oct 28, 2020 12:04 pm
This exactly. I don't object to looking at things like this, they are useful, but they tend to tell us what we already know. If you have a great rookie season you tend to have a better career than a player who doesn't. If you breakout early in college, dominate your offense statistically, and get drafted early, you have a pretty good chance at success.
The pending correction for Claypool highlights one of the short comings though. So because he is averaging one less yard per game, his % of success drops by what, 25 or 30% (whatever the number, not scrolling back to find it)? Kinda silly. This is why statistical models are not *predictive*, which is what it means to say such and such has an X% chance of 3 1k seasons in their career. It's good to know what the results of past seasons have to say about it, but putting any kind of percentage on the likelihood of it happening in a single instance is something the model is not capable of.
Anyway, not trying to crap on the information. It's useful to know.
Obviously we don't have a way too proof out each individuals player's mathematical odds of success, so people have sort-of fallen into this faux-statistical process. In reality, whatever numbers Corey Coleman, Calvin Johnson, Julio Jones, or Darrius Heyward-Bey posted are completely irrelevant to the outcomes of Ceedee Lamb, Aiyuk, or Claypool. The only thing that matters is what these guys can do on the field.
The chance that you flip at least 7 coins in 10 tries is 17.19%, the odds of flipping 126 (or more) heads in 180 tries (70%) is so small the number would break your calculator.
Sure, the chance that it is the result of random chance is there. But so is the chance that reality randomly poofs within the next second.
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
100%, of course the player will succeed with or without the analytical data; but we don't know everything about these players or exactly what determines who fails or succeeds at the NFL level. We can have inclinations that make us believe they will succeed (size/speed/tape/dynamism etc); but for the vast majority of us who aren't privy to this info it's a form of hubris to ignore analytical trends when forecasting player's career paths.skinfanjon wrote: ↑Wed Oct 28, 2020 12:53 pmThe difference is you're talking about a quarter and all quarters are the same. Players and their situations vary wildly.Sriracha wrote: ↑Wed Oct 28, 2020 12:44 pmIf the sample size was 10 you'd have an apt comparison.PR0v3 wrote: ↑Wed Oct 28, 2020 12:37 pm
Yep, these models or studies are not too much different than flipping a coin 10 times, landing heads 7 times, and saying the odds of flipping heads is 70%. That's not how it works. The mathematical proof of a coin flip being 50/50 is what is predictive, the past coin flip results are meaningless going forwards.
Obviously we don't have a way too proof out each individuals player's mathematical odds of success, so people have sort-of fallen into this faux-statistical process. In reality, whatever numbers Corey Coleman, Calvin Johnson, Julio Jones, or Darrius Heyward-Bey posted are completely irrelevant to the outcomes of Ceedee Lamb, Aiyuk, or Claypool. The only thing that matters is what these guys can do on the field.
The chance that you flip at least 7 coins in 10 tries is 17.19%, the odds of flipping 126 (or more) heads in 180 tries (70%) is so small the number would break your calculator.
Sure, the chance that it is the result of random chance is there. But so is the chance that reality randomly poofs within the next second.
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Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
This is the same perspective as thinking you're smarter than the casino. Maybe you can beat them by a little if you're very savvy. At the end of the day the casino will always profit in the long run. Casinos base their odds off of historical data so by your argument you're saying that the oddsmakers don't know what they're doing. That's fine if you want but I wouldn't bet against the oddsmakers.PR0v3 wrote: ↑Wed Oct 28, 2020 9:28 amYep. This is my problem with the analytics crowd, they do the same thing with dominator rating + draft capital. Past results are not indicative of future performance. You can’t just take X% results and attribute that as the odds of the same thing occuring in the future. That’s not how statistics work.skinfanjon wrote: ↑Wed Oct 28, 2020 6:42 amAgree with the sentiment here but its important to note these are not ODDS. They are recent results. Big difference.jjleurquin wrote: ↑Tue Oct 27, 2020 10:44 pm
This is one resource of many. While this isn't the end all be all it should give you insights. Context is important as Davante Adams had 2 solid vets in front of him both seasons in Nelson/Cobb and James Jones/Cobb. The rookie that is in the most similar situation this season is Gabe Davis as he has not only 2 but 3 solid vets there in front of him. Claypool is probably in a similar spot too. Do of that what you will.
I just don't see how seeing this upsets people and makes them point out every player who didn't perform well right away. These odds are not opinions and they don't really care about how anyone feels about them. This is a nice resource for everyone.
The boxes these players are being put in are not odds of future performance, they are the historical results of different players given selected variables. The “odds” for current players looking forward are unique for each player/individual given their specific circumstances.
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
I always find it useful information. Usually it really weighs when I am in a position of something like "do I drop Jefferson or Jeudy?". If I am in a position that I need to make that choice I would give this some weight while debating who stays.
Cavaliers 12 team standard, 1QB, 1RB, 1WR, 2WR/TE, 1flex
QB: J. Allen, S. Howell, Z.Wilson
RB: A. Kamara, J. Taylor, CEH, K. Gainwell, P. Strong
WR: A.J. Brown, A. Cooper, J. Dotson, C. Ridley, E. Moore, W. Robinson, J. Meyers, T. Marshall,
TE: G. Kittle, J. Johnson, J. Woods, H. Henry
'23 1.10, 2.10, 3.10 '24 1, 2, 3
Recent Championships '19,'21,'22
Fosters Home for Imaginary Friends- 1QB, 2RB, 3WR, 1TE, 2Flex
QB: Mahomes, Purdy, Lance
RB: Pierce, Miller, K. Herbert, E. Hull
WR: Chase, Watson, Davis, JSN, Metchie, Pierce, V. Jefferson, Claypool, Thornton, Westbrook-Ikhine
TE: Pitts, Woods, Latu
QB: J. Allen, S. Howell, Z.Wilson
RB: A. Kamara, J. Taylor, CEH, K. Gainwell, P. Strong
WR: A.J. Brown, A. Cooper, J. Dotson, C. Ridley, E. Moore, W. Robinson, J. Meyers, T. Marshall,
TE: G. Kittle, J. Johnson, J. Woods, H. Henry
'23 1.10, 2.10, 3.10 '24 1, 2, 3
Recent Championships '19,'21,'22
Fosters Home for Imaginary Friends- 1QB, 2RB, 3WR, 1TE, 2Flex
QB: Mahomes, Purdy, Lance
RB: Pierce, Miller, K. Herbert, E. Hull
WR: Chase, Watson, Davis, JSN, Metchie, Pierce, V. Jefferson, Claypool, Thornton, Westbrook-Ikhine
TE: Pitts, Woods, Latu
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Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
I think some of you are overthinking this.
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Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
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Last edited by Dynasty DeLorean on Wed Oct 28, 2020 9:25 pm, edited 1 time in total.
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
No, it’s not the same perspective. Casino games are built on odds. The slot machines have built in odds to the games. For example, for every $1.00 put into the slot machine, it is programmed to give back $.98. This is written in code, it is predictable, it is the odds. Over time, this is what will happen. There may be some jackpots hit every now and then that cost the casino money on that pull, but with a large enough sample size they will make $.02 on every play. The odds are in the casino’s favor. Over time you cannot win.jjleurquin wrote: ↑Wed Oct 28, 2020 5:46 pmThis is the same perspective as thinking you're smarter than the casino. Maybe you can beat them by a little if you're very savvy. At the end of the day the casino will always profit in the long run. Casinos base their odds off of historical data so by your argument you're saying that the oddsmakers don't know what they're doing. That's fine if you want but I wouldn't bet against the oddsmakers.PR0v3 wrote: ↑Wed Oct 28, 2020 9:28 amYep. This is my problem with the analytics crowd, they do the same thing with dominator rating + draft capital. Past results are not indicative of future performance. You can’t just take X% results and attribute that as the odds of the same thing occuring in the future. That’s not how statistics work.skinfanjon wrote: ↑Wed Oct 28, 2020 6:42 am
Agree with the sentiment here but its important to note these are not ODDS. They are recent results. Big difference.
The boxes these players are being put in are not odds of future performance, they are the historical results of different players given selected variables. The “odds” for current players looking forward are unique for each player/individual given their specific circumstances.
What people are doing with fantasy football “analytics” and “models” is different. We do not know the odds of the game, we only know the results of the past slot machine pulls. If I play the slot machine, feed it $100 and hit a million dollar jackpot, I made a losing play. My EV on a $100 pull is $98. What the analytic crowd is doing is taking the $1M jackpot, comparing it to the $100 pull, and saying that when I go to the casino next door and play a completely different slot machine that my odds of winning $1M is 100%, since, you know, it just hit that way last time I pulled a slot. That is not how it works.
12 Team .5 PPR - 1 QB, 2 RB, 2 WR, 1 TE, 1 WR/RB 20 man rosters, 5 man taxi est. 2018
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
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Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
Sounds like you’re firmly in the Bayesian camp. History may not be perfectly predictive of the future, but historical data is very regularly used as a best available proxy of what can be expected to happen going forward in predictive modeling.PR0v3 wrote: ↑Wed Oct 28, 2020 6:35 pmNo, it’s not the same perspective. Casino games are built on odds. The slot machines have built in odds to the games. For example, for every $1.00 put into the slot machine, it is programmed to give back $.98. This is written in code, it is predictable, it is the odds. Over time, this is what will happen. There may be some jackpots hit every now and then that cost the casino money on that pull, but with a large enough sample size they will make $.02 on every play. The odds are in the casino’s favor. Over time you cannot win.jjleurquin wrote: ↑Wed Oct 28, 2020 5:46 pmThis is the same perspective as thinking you're smarter than the casino. Maybe you can beat them by a little if you're very savvy. At the end of the day the casino will always profit in the long run. Casinos base their odds off of historical data so by your argument you're saying that the oddsmakers don't know what they're doing. That's fine if you want but I wouldn't bet against the oddsmakers.PR0v3 wrote: ↑Wed Oct 28, 2020 9:28 am
Yep. This is my problem with the analytics crowd, they do the same thing with dominator rating + draft capital. Past results are not indicative of future performance. You can’t just take X% results and attribute that as the odds of the same thing occuring in the future. That’s not how statistics work.
The boxes these players are being put in are not odds of future performance, they are the historical results of different players given selected variables. The “odds” for current players looking forward are unique for each player/individual given their specific circumstances.
What people are doing with fantasy football “analytics” and “models” is different. We do not know the odds of the game, we only know the results of the past slot machine pulls. If I play the slot machine, feed it $100 and hit a million dollar jackpot, I made a losing play. My EV on a $100 pull is $98. What the analytic crowd is doing is taking the $1M jackpot, comparing it to the $100 pull, and saying that when I go to the casino next door and play a completely different slot machine that my odds of winning $1M is 100%, since, you know, it just hit that way last time I played. That is not how it works.
I don’t think DD is trying to say that someone who falls into the top tier is a 100%, can’t miss, guaranteed long-term stud. Just that history shows players in that tier have had great success rates, and if you’re buying rookies right now, they look like good bets.
12 Team Superflex - PPR, 0.25 PPC - QB/2RB/3WR/TE/Flex/Superflex
QB: L Jackson, Tagovailoa, Rodgers, Pickett, Tannehill
RB: Swift, Pacheco, Sanders, Hubbard, Spears, Dillon, Herbert, McLaughlin, Chandler, Dowdle
WR: DeVonta, Waddle, Aiyuk, Nacua, McLaurin, Hopkins, M Williams, Mingo, Wan’Dale, Hyatt
TE: Kelce, Okonkwo, Schoonmaker
QB: L Jackson, Tagovailoa, Rodgers, Pickett, Tannehill
RB: Swift, Pacheco, Sanders, Hubbard, Spears, Dillon, Herbert, McLaughlin, Chandler, Dowdle
WR: DeVonta, Waddle, Aiyuk, Nacua, McLaurin, Hopkins, M Williams, Mingo, Wan’Dale, Hyatt
TE: Kelce, Okonkwo, Schoonmaker
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
I definitely appreciate the work, and it’s nice to compare what guys are currently doing compared to what guys have done in the past. For me it will just always come down to what is happening/what happened with each specific individual player. I definitely enjoy the thread and reading people’s thoughts, but I think it goes a little overboard sometimes.Ruggenater wrote: ↑Wed Oct 28, 2020 6:46 pmSounds like you’re firmly in the Bayesian camp. History may not be perfectly predictive of the future, but historical data is very regularly used as a best available proxy of what can be expected to happen going forward in predictive modeling.PR0v3 wrote: ↑Wed Oct 28, 2020 6:35 pmNo, it’s not the same perspective. Casino games are built on odds. The slot machines have built in odds to the games. For example, for every $1.00 put into the slot machine, it is programmed to give back $.98. This is written in code, it is predictable, it is the odds. Over time, this is what will happen. There may be some jackpots hit every now and then that cost the casino money on that pull, but with a large enough sample size they will make $.02 on every play. The odds are in the casino’s favor. Over time you cannot win.jjleurquin wrote: ↑Wed Oct 28, 2020 5:46 pm
This is the same perspective as thinking you're smarter than the casino. Maybe you can beat them by a little if you're very savvy. At the end of the day the casino will always profit in the long run. Casinos base their odds off of historical data so by your argument you're saying that the oddsmakers don't know what they're doing. That's fine if you want but I wouldn't bet against the oddsmakers.
What people are doing with fantasy football “analytics” and “models” is different. We do not know the odds of the game, we only know the results of the past slot machine pulls. If I play the slot machine, feed it $100 and hit a million dollar jackpot, I made a losing play. My EV on a $100 pull is $98. What the analytic crowd is doing is taking the $1M jackpot, comparing it to the $100 pull, and saying that when I go to the casino next door and play a completely different slot machine that my odds of winning $1M is 100%, since, you know, it just hit that way last time I played. That is not how it works.
I don’t think DD is trying to say that someone who falls into the top tier is a 100%, can’t miss, guaranteed long-term stud. Just that history shows players in that tier have had great success rates, and if you’re buying rookies right now, they look like good bets.
12 Team .5 PPR - 1 QB, 2 RB, 2 WR, 1 TE, 1 WR/RB 20 man rosters, 5 man taxi est. 2018
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
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Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
I'm not talking about the damn slot machines. I'm talking about the oddsmakers that decide what the lines are going to be every sunday. While their model is not perfect they will always come out ahead by using historical data to determine the odds and they'll move the line to even out the bets to get their 10% commission. Is it possible to beat them in the long run? Yes. but it's not likely.PR0v3 wrote: ↑Wed Oct 28, 2020 6:35 pm No, it’s not the same perspective. Casino games are built on odds. The slot machines have built in odds to the games. For example, for every $1.00 put into the slot machine, it is programmed to give back $.98. This is written in code, it is predictable, it is the odds. Over time, this is what will happen. There may be some jackpots hit every now and then that cost the casino money on that pull, but with a large enough sample size they will make $.02 on every play. The odds are in the casino’s favor. Over time you cannot win.
What people are doing with fantasy football “analytics” and “models” is different. We do not know the odds of the game, we only know the results of the past slot machine pulls. If I play the slot machine, feed it $100 and hit a million dollar jackpot, I made a losing play. My EV on a $100 pull is $98. What the analytic crowd is doing is taking the $1M jackpot, comparing it to the $100 pull, and saying that when I go to the casino next door and play a completely different slot machine that my odds of winning $1M is 100%, since, you know, it just hit that way last time I pulled a slot. That is not how it works.
Re: WR's who break out in Year 1 are GOLD JERRY, GOLD!
I’m not really sure what your point is then and how it relates to my original post?jjleurquin wrote: ↑Wed Oct 28, 2020 9:31 pmI'm not talking about the damn slot machines. I'm talking about the oddsmakers that decide what the lines are going to be every sunday. While their model is not perfect they will always come out ahead by using historical data to determine the odds and they'll move the line to even out the bets to get their 10% commission. Is it possible to beat them in the long run? Yes. but it's not likely.PR0v3 wrote: ↑Wed Oct 28, 2020 6:35 pm No, it’s not the same perspective. Casino games are built on odds. The slot machines have built in odds to the games. For example, for every $1.00 put into the slot machine, it is programmed to give back $.98. This is written in code, it is predictable, it is the odds. Over time, this is what will happen. There may be some jackpots hit every now and then that cost the casino money on that pull, but with a large enough sample size they will make $.02 on every play. The odds are in the casino’s favor. Over time you cannot win.
What people are doing with fantasy football “analytics” and “models” is different. We do not know the odds of the game, we only know the results of the past slot machine pulls. If I play the slot machine, feed it $100 and hit a million dollar jackpot, I made a losing play. My EV on a $100 pull is $98. What the analytic crowd is doing is taking the $1M jackpot, comparing it to the $100 pull, and saying that when I go to the casino next door and play a completely different slot machine that my odds of winning $1M is 100%, since, you know, it just hit that way last time I pulled a slot. That is not how it works.
12 Team .5 PPR - 1 QB, 2 RB, 2 WR, 1 TE, 1 WR/RB 20 man rosters, 5 man taxi est. 2018
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
QB: Dak, Pickett
RB: CMC, Taylor, Gibson, Dillon, Akers, Penny
WR: JJeff, Hollywood, Olave, Toney, Aiyuk, Jeudy, C. Davis, Boyd, C. Samuel,
TE: Njoku, Gesicki
2023 picks: 1.x, 2.x, 3.x, 4.x
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