theoneandonly
Footballguy
If D.Will can come back and start beasting the rest of the way i may have a chance. D.Will Bradshaw Spiller L.Washington and Foster at rb i really striked out there.
Not bad... I didn't save the work I did last week, not sure what I would've had for week 10 predictions. This will be fun, though. Here are my early week projection for number of surviving entries by roster size:Modog814 said:Eh not too bad (keep in mind Actual includes Staff and ties, while predicted excludes staff and assumes only 1600 would make it through). Close enough that I feel comfortable running the next couple weeks and coming up with power rankings and the expected Top 250.My Prediction for this week in terms of breakdown by roster size:
Code:Size Predicted ACTUAL Current Pred Rate Act.Rate18 311 334 521 59.69% 64.11%19 183 186 284 64.44% 65.49%20 154 153 230 66.96% 66.52%21 132 122 184 71.74% 66.30%22 124 123 185 67.03% 66.49%23 130 133 180 72.22% 73.89%24 115 106 145 79.31% 73.10%25 101 108 134 75.37% 80.60%26 88 85 111 79.28% 76.58%27 70 74 94 74.47% 78.72%28 51 49 69 73.91% 71.01%29 43 43 54 79.63% 79.63%30 98 95 111 88.29% 85.59%
Size Survive18 18919 11120 9321 7522 7723 8724 6925 7426 5727 5128 3329 2930 66
So it is possible that a 30 man roster has both the best chance to make it to the final 250 and have the best chance of winning it too.Ignoratio Elenchi said:Small rosters are catching up...Saint said:Any chance you have the average points put forward by the live rosters? I would be curious which roster count is scoring the most based on average.Code:Size Alive AvgScore18 334 168.3519 186 168.1820 153 168.7321 122 170.0122 123 171.0723 133 169.4924 106 169.9125 109 171.3026 85 170.3527 74 170.2828 49 171.5929 43 169.1330 95 172.44
If you're only considering the size of the roster, then I'd say a team with a 30-player roster definitely has the best chance of surviving and making it to the final 250.Given that it survives to the final 250 teams, I'd somewhat less certain that a 30-player roster team has the best chance of winning the contest. But I "think" it would have the best chance of winning.From right now (at the end of week 10), I'd say that a 30-man team definitely has the best chance of surviving and winning the contest.A different question -- What is the over/under on roster size for the winning team? I think it's about 26.5. If so, I'd take the over.So it is possible that a 30 man roster has both the best chance to make it to the final 250 and have the best chance of winning it too.Ignoratio Elenchi said:Small rosters are catching up...Saint said:Any chance you have the average points put forward by the live rosters? I would be curious which roster count is scoring the most based on average.Code:Size Alive AvgScore18 334 168.3519 186 168.1820 153 168.7321 122 170.0122 123 171.0723 133 169.4924 106 169.9125 109 171.3026 85 170.3527 74 170.2828 49 171.5929 43 169.1330 95 172.44
With less that 4 points encompassing the whole spread for average points - it looks like there is no statistical difference between the average score and the roster size. I read this as any size roster has an equal chance to win.Ignoratio Elenchi said:Small rosters are catching up...Saint said:Any chance you have the average points put forward by the live rosters? I would be curious which roster count is scoring the most based on average.Code:Size Alive AvgScore18 334 168.3519 186 168.1820 153 168.7321 122 170.0122 123 171.0723 133 169.4924 106 169.9125 109 171.3026 85 170.3527 74 170.2828 49 171.5929 43 169.1330 95 172.44
I did the same. Down to 3 unused players:Robiskie - He is such a non factor I don't see him contributing, but I guess anything is possible. I felt the same way about Chambers until this week.Gano - He has had decent weeks, but I have 4 kickers. Maybe 4 was 1 too many.Bernard Scott - I have Benson too, so this was a handcuff.Wide Right said:There has been a Chris Chambers sighting this week!Used that $7 for the first time. One of 39 CC owners hoping he might be finally finding his way back onto the field.
Thanks Iggy! I appreciate the information!With less that 4 points encompassing the whole spread for average points - it looks like there is no statistical difference between the average score and the roster size. I read this as any size roster has an equal chance to win.Ignoratio Elenchi said:Small rosters are catching up...Saint said:Any chance you have the average points put forward by the live rosters? I would be curious which roster count is scoring the most based on average.Code:Size Alive AvgScore18 334 168.3519 186 168.1820 153 168.7321 122 170.0122 123 171.0723 133 169.4924 106 169.9125 109 171.3026 85 170.3527 74 170.2828 49 171.5929 43 169.1330 95 172.44
Now what's interesting to me is the survival rate that goes with them...... as I recall the survival rate is higher amongst the 25+ rosters. With those 2 attributes combined, I would say that statistically, you have a greater chance of making the cuts with a larger roster... at which point the rosters normalize.So for example, would you want to be the team that has a 6% chance of making the playoffs and putting up ~170 pts... or the team that has a 9% chance of making the playoffs and putting up ~170 pts. Statistically speaking, I'd take 9% over 6%, which is the 25+ man roster.I'm not sure average score is a good indicator though. The average teams, even this late, are not likely to make the money. I would think it's better to look at the outliers in a contest like this, or maybe figure out the standard deviation by roster size. The higher standard deviation should be better, no?With less that 4 points encompassing the whole spread for average points - it looks like there is no statistical difference between the average score and the roster size. I read this as any size roster has an equal chance to win.Ignoratio Elenchi said:Small rosters are catching up...Saint said:Any chance you have the average points put forward by the live rosters? I would be curious which roster count is scoring the most based on average.Code:Size Alive AvgScore18 334 168.3519 186 168.1820 153 168.7321 122 170.0122 123 171.0723 133 169.4924 106 169.9125 109 171.3026 85 170.3527 74 170.2828 49 171.5929 43 169.1330 95 172.44
We looked at this a week or two ago IIRC. The highest score on any given week tended to be a smaller roster; however, the highest cumulative score over a rolling three week period tended to be larger. This is my gripe with the "smaller rosters are more likely to win due to variance" argument - we don't hand out the money after a one week playoff, we hand it out after a three week playoff, which mitigates whatever variance-related advantage small rosters might have imo.I'm not sure average score is a good indicator though. The average teams, even this late, are not likely to make the money. I would think it's better to look at the outliers in a contest like this, or maybe figure out the standard deviation by roster size. The higher standard deviation should be better, no?With less that 4 points encompassing the whole spread for average points - it looks like there is no statistical difference between the average score and the roster size. I read this as any size roster has an equal chance to win.Ignoratio Elenchi said:Small rosters are catching up...Saint said:Any chance you have the average points put forward by the live rosters? I would be curious which roster count is scoring the most based on average.Code:Size Alive AvgScore18 334 168.3519 186 168.1820 153 168.7321 122 170.0122 123 171.0723 133 169.4924 106 169.9125 109 171.3026 85 170.3527 74 170.2828 49 171.5929 43 169.1330 95 172.44
methinks someone didn't read the rules correctly...Ignoratio Elenchi said:This guy is the lowest-scoring out of all 13,061 teams, with 878.50 points.![]()
I get that (BTW, I'm firmly a large roster guy) but average score of all the remaining entries still just doesn't feel right as a predictor of success in the final 250.We looked at this a week or two ago IIRC. The highest score on any given week tended to be a smaller roster; however, the highest cumulative score over a rolling three week period tended to be larger. This is my gripe with the "smaller rosters are more likely to win due to variance" argument - we don't hand out the money after a one week playoff, we hand it out after a three week playoff, which mitigates whatever variance-related advantage small rosters might have imo.I'm not sure average score is a good indicator though. The average teams, even this late, are not likely to make the money. I would think it's better to look at the outliers in a contest like this, or maybe figure out the standard deviation by roster size. The higher standard deviation should be better, no?With less that 4 points encompassing the whole spread for average points - it looks like there is no statistical difference between the average score and the roster size. I read this as any size roster has an equal chance to win.Ignoratio Elenchi said:Small rosters are catching up...Saint said:Any chance you have the average points put forward by the live rosters? I would be curious which roster count is scoring the most based on average.Code:Size Alive AvgScore18 334 168.3519 186 168.1820 153 168.7321 122 170.0122 123 171.0723 133 169.4924 106 169.9125 109 171.3026 85 170.3527 74 170.2828 49 171.5929 43 169.1330 95 172.44
It's likely that small rosters are more adversely affected by bye weeks than larger rosters, but to say the statistical advantage wasn't that significant is silly. The advantage of larger rosters during the bye weeks is unbelievably and undeniably enormous. The numbers are astounding.In any case, the larger rosters did better last year after the byes, and they did better in weeks 1-3 this season, when there were no byes and few, if any, meaningful injuries. It's more likely that small rosters are worse than large rosters during the bye weeks, because small rosters are worse than large rosters in general. It's not like larger rosters don't have byes, too - in fact, they have more of them to deal with. The same reason that large rosters do better during weeks 4-10 should also apply during weeks 1-3 and 11-16 - they have more available players.So, while larger rosters seem to have some statistical advantage in terms of survival through bye weeks and early season injuries, that advantage won't be as significant going forward. I'm not certain how much less impact, but certainly some, and the statistical advantage wasn't that significant to begin with.
Yes, they have more available players, but generally those players aren't as good. I can't deny the facts, and the facts suggest larger rosters, on average, are better than smaller rosters. But, I'm not trying to have an average team.My 19 man roster has made it this far, and I like my chances as much as any other team I've seen. I'd obviously change some of my players in retrospect, but I wouldn't necessarily change my roster size. I wasn't intentionally trying to have a small roster, but when I picked players I thought would outperform their price and who I thought had the potential to carry a team, I ended up with 19 players. My biggest regret is swapping out Rivers for Rodgers on my last submission. I could have had a better QB for $10 dollars less, and then used that money to upgrader someone like Berrian to Dez Bryant (which was one of my earlier options).It's likely that small rosters are more adversely affected by bye weeks than larger rosters, but to say the statistical advantage wasn't that significant is silly. The advantage of larger rosters during the bye weeks is unbelievably and undeniably enormous. The numbers are astounding.In any case, the larger rosters did better last year after the byes, and they did better in weeks 1-3 this season, when there were no byes and few, if any, meaningful injuries. It's more likely that small rosters are worse than large rosters during the bye weeks, because small rosters are worse than large rosters in general. It's not like larger rosters don't have byes, too - in fact, they have more of them to deal with. The same reason that large rosters do better during weeks 4-10 should also apply during weeks 1-3 and 11-16 - they have more available players.So, while larger rosters seem to have some statistical advantage in terms of survival through bye weeks and early season injuries, that advantage won't be as significant going forward. I'm not certain how much less impact, but certainly some, and the statistical advantage wasn't that significant to begin with.![]()
Oh yeah, I'm the last Schuab_Roethlisberger_Anderson_Vick owner left.TheChairman said:I'm finally the last Manning+Manning owner standing!
The other team lost in week 1. 
74 teams out of 1600What percentage left have Reggie Bush? He could make a huge impact going forward.
This makes sense to me.One thing I think that's being ignored when looking at average scores by roster size and survival rates so far by roster size, is how byes and injuries affect the smaller roster size teams. One of the key advantages of larger roster sizes is the protection it affords against byes and injuries. However, after this week, byes are no longer a factor, and injuries become less a concern with each passing week. So, while larger rosters seem to have some statistical advantage in terms of survival through bye weeks and early season injuries, that advantage won't be as significant going forward. I'm not certain how much less impact, but certainly some, and the statistical advantage wasn't that significant to begin with.So, larger roster sizes may have helped to get you through week 10, but it won't necessarily help as much to move forward from here, if that makes sense.
You should do this with entries 100001 through 100250 (of course I'm one of thoseWe all know that end-of-season results never line up perfectly with pre-season rankings, right? I mean even weekly rankings are usually way off after the games have been played. Of course higher ranked players have a better chance of performing well. But every year there are late season studs that appear out of nowhere.To be #1 you have to hit on as many of those studs as possible in the last 3 weeks. You have to take a chance on some cheaper guys too and hope you hit.Thought experiment:Let's say this contest was limited to only the first 250 entries. Those lucky enough to get in pick players using exactly the same method as this year's contest, during the pre-season. One big change though: weeks 1 - 13 don't matter at all. Everyone waits around and then totals are added up in weeks 14 - 16. Aside from not worrying about bye weeks, would that change your roster size strategy?I'd still lean to the high side. 27 - 30 players probably. I'd want as many players as possible as long as I had a good feeling about every one of them. As soon as the season kicks off, those pre-season rankings don't mean squat. And you are picking these guys 14 weeks in advance. Who is currently leading the NFL in receiving yards? Brandon Lloyd. He wasn't even "on the radar" enough to be included in this contest.
The link to the Querier is on the Weekly Content Page.I'm sure this has been answered a dozen different times, but how does one query how rare a combo of players is?I have Vick with Best, Foster, DMC, and Brandon Jackson. Can't be many with this combo I would think.
aerolaw said:74 teams out of 1600Otis said:What percentage left have Reggie Bush? He could make a huge impact going forward.
Come on Reg...Size Predicted Current Pred Rate18 194 333 58.26%19 106 186 56.99%20 96 152 63.16%21 78 122 63.93%22 81 122 66.39%23 77 131 58.78%24 68 106 64.15%25 81 107 75.70%26 55 84 65.48%27 40 74 54.05%28 34 49 69.39%29 23 42 54.76%30 70 93 75.27%
You know where it'll help, and has helped probably every week for most large roster teams? At TE, K, and D. And come the final weeks, there will be teams that don't make the cut, and their K or their D will be the difference.az_prof said:This makes sense to me.One thing I think that's being ignored when looking at average scores by roster size and survival rates so far by roster size, is how byes and injuries affect the smaller roster size teams. One of the key advantages of larger roster sizes is the protection it affords against byes and injuries. However, after this week, byes are no longer a factor, and injuries become less a concern with each passing week. So, while larger rosters seem to have some statistical advantage in terms of survival through bye weeks and early season injuries, that advantage won't be as significant going forward. I'm not certain how much less impact, but certainly some, and the statistical advantage wasn't that significant to begin with.So, larger roster sizes may have helped to get you through week 10, but it won't necessarily help as much to move forward from here, if that makes sense.
What the hell, why don't I just average the two, and make that my ***Official*** Final 250 projections:
Size Predicted Current Pred Rate18 43 333 12.91%19 26 186 13.98%20 19 152 12.50%21 21 122 17.21%22 22 122 18.03%23 15 131 11.45%24 22 106 20.75%25 23 107 21.50%26 14 84 16.67%27 8 74 10.81%28 11 49 22.45%29 6 42 14.29%30 19 93 20.43%I have these as the 10 most likely teams to make it to the top 250:101754
110146
108757
100679
105076
102992
108047
100086
108122
102788
Sadly, I'm not one of these teams.
I have these teams as the least likely to get into the top 250
110433
101060
102398
102637
102684
104491
108362
109298
109801
111589
Thankfully, I'm not one of these teams either.
108122 631.41 20
105076 630.98 22
100086 623.3 30
103802 623.24 30
100205 615.24 28
110146 612.79 22
108226 612.3 19
107775 611.63 30
102584 610.06 25
100189 608.94 23
107528 608.4 25
100492 608.11 25
105017 607.74 20
102003 606.4 18
101483 606.36 22
101754 605.75 21
108900 604.91 27
101170 604.1 26
100257 603.12 26
102206 602.98 18
105145 602.25 22
100634 602.23 24
111098 601.95 29
101771 601.15 28
103970 600.26 23
108047 600.2 18
107622 600.17 21
100244 600.08 21
Where do you see Entry 102809 ranked? Any chance of getting into the top 250?What the hell, why don't I just average the two, and make that my ***Official*** Final 250 projections:
Size Predicted Current Pred Rate18 43 333 12.91%19 26 186 13.98%20 19 152 12.50%21 21 122 17.21%22 22 122 18.03%23 15 131 11.45%24 22 106 20.75%25 23 107 21.50%26 14 84 16.67%27 8 74 10.81%28 11 49 22.45%29 6 42 14.29%30 19 93 20.43%I have these as the 10 most likely teams to make it to the top 250:101754
110146
108757
100679
105076
102992
108047
100086
108122
102788
Sadly, I'm not one of these teams.
I have these teams as the least likely to get into the top 250
110433
101060
102398
102637
102684
104491
108362
109298
109801
111589
Thankfully, I'm not one of these teams either.
370th Most Likely to get into Top 250. 3 week average (14-16) of 552.Where do you see Entry 102809 ranked? Any chance of getting into the top 250?
1 105076 7 22
2 110146 8 22
3 108122 10 20
4 100086 11 30
5 100205 16 28
6 101754 17 21
7 107775 30 30
8 100189 31 23
9 100492 32 25
10 102003 32 18
11 108047 33 18
12 103802 34 30
13 108757 35 22
14 102584 36 25
15 107622 39 21
16 102992 43 22
17 108226 43 19
18 105017 51 20
19 101771 52 28
20 100634 56 24
21 100679 57 21
22 101483 64 22
23 103970 66 23
24 107044 66 30
25 107528 66 25
26 101087 69 22
27 111098 70 29
28 103771 74 18
29 109213 77 19
30 100244 79 21
31 100257 80 26
32 101690 82 29
33 101170 87 26
34 104745 105 26
35 102206 107 18
36 100927 109 22
37 109798 109 23
38 100201 118 18
39 105620 118 18
40 100433 120 23
41 107908 121 29
42 108703 123 18
43 107241 127 19
44 107036 132 21
45 104832 133 18
46 109773 134 22
47 101473 136 24
48 103276 136 24
49 101539 139 24
50 109578 139 28
Thanks for the vote of confidence. Should be a fun next few weeks. Good Luck!370th Most Likely to get into Top 250. 3 week average (14-16) of 552.Where do you see Entry 102809 ranked? Any chance of getting into the top 250?
This is flawed as entry 101289 should clearly be in the top 10Where do you see Entry 102809 ranked? Any chance of getting into the top 250?What the hell, why don't I just average the two, and make that my ***Official*** Final 250 projections:
Size Predicted Current Pred Rate18 43 333 12.91%19 26 186 13.98%20 19 152 12.50%21 21 122 17.21%22 22 122 18.03%23 15 131 11.45%24 22 106 20.75%25 23 107 21.50%26 14 84 16.67%27 8 74 10.81%28 11 49 22.45%29 6 42 14.29%30 19 93 20.43%I have these as the 10 most likely teams to make it to the top 250:101754
110146
108757
100679
105076
102992
108047
100086
108122
102788
Sadly, I'm not one of these teams.
I have these teams as the least likely to get into the top 250
110433
101060
102398
102637
102684
104491
108362
109298
109801
111589
Thankfully, I'm not one of these teams either.![]()
-QG
Are you sure the high scorers the last three weeks weren't just teams that had most of their byes weeks 4 to 6?These are the 28 teams that averaged more than 600 points over the last week weeks (according to my sim), all 28 are in the 250 most likely to make the top 250.
Code:108122 631.41 20105076 630.98 22100086 623.3 30103802 623.24 30100205 615.24 28110146 612.79 22108226 612.3 19107775 611.63 30102584 610.06 25100189 608.94 23107528 608.4 25100492 608.11 25105017 607.74 20102003 606.4 18101483 606.36 22101754 605.75 21108900 604.91 27101170 604.1 26100257 603.12 26102206 602.98 18105145 602.25 22100634 602.23 24111098 601.95 29101771 601.15 28103970 600.26 23108047 600.2 18107622 600.17 21100244 600.08 21
Care to explain why you think this?Are you sure the high scorers the last three weeks weren't just teams that had most of their byes weeks 4 to 6?These are the 28 teams that averaged more than 600 points over the last week weeks (according to my sim), all 28 are in the 250 most likely to make the top 250.
Code:108122 631.41 20105076 630.98 22100086 623.3 30103802 623.24 30100205 615.24 28110146 612.79 22108226 612.3 19107775 611.63 30102584 610.06 25100189 608.94 23107528 608.4 25100492 608.11 25105017 607.74 20102003 606.4 18101483 606.36 22101754 605.75 21108900 604.91 27101170 604.1 26100257 603.12 26102206 602.98 18105145 602.25 22100634 602.23 24111098 601.95 29101771 601.15 28103970 600.26 23108047 600.2 18107622 600.17 21100244 600.08 21
People with heavy byes weeks 8,9,10 will be underrepresented. So your last 3 weeks score will be flawed.Care to explain why you think this?
I think by "last week weeks" he meant weeks 14-16, not weeks 8-10. Hey Modog, I'm pretty sure I asked this before but I don't remember what the answer was - are you actually running a bunch of iterations of a sim, using distributions of player scores (like Doug does) or are you just plugging in a set of projections for those weeks?People with heavy byes weeks 8,9,10 will be underrepresented. So your last 3 weeks score will be flawed.Care to explain why you think this?
Oh, I get what he's saying. Iggy is correct, by last 3 weeks, I meant weeks 14-16, not 8-10.People with heavy byes weeks 8,9,10 will be underrepresented. So your last 3 weeks score will be flawed.Care to explain why you think this?
The last time you asked the answer was plugging in a set of projections for those weeks.This time the answer is, running a bunch of iterations of a sim. Each week is simmed 250 times (play by play, game by game) with opponent, performance to date and play calling/situational tendencies factored in. For the road to the top 250, I combined each of the 3 weeks 250 scenarios into 187,500 "paths". For example, path 1 would be Wk11 Scn.1, Wk12 Scn.1, Wk13 Scn1....path 2 would be Wk11 Scn.1, Wk12 Scn.1, Wk13 Scn2, so on. Then counted up how many times a team survived all three weeks.For the average final 3 week score (wks 14-16), I again simmed each week 250 times, but I just kept all the paths aligned, so Path 1 = Wk14 Sn1, Wk15 Sn1, Wk16 Sn1...Path 2 = Wk14 Sn2, Wk15 Sn2, Wk16 Sn2 So there's only 250 total "paths". I could do more, but I'm not sure how much the results were change or if it's worth the additional computation time being that these predictions are 6 weeks out.I think by "last week weeks" he meant weeks 14-16, not weeks 8-10. Hey Modog, I'm pretty sure I asked this before but I don't remember what the answer was - are you actually running a bunch of iterations of a sim, using distributions of player scores (like Doug does) or are you just plugging in a set of projections for those weeks?People with heavy byes weeks 8,9,10 will be underrepresented. So your last 3 weeks score will be flawed.Care to explain why you think this?
Is that some kind of service you subscribe to?Each week is simmed 250 times (play by play, game by game) with opponent, performance to date and play calling/situational tendencies factored in.
Nope, I use a simulator I created to do this.Is that some kind of service you subscribe to?Each week is simmed 250 times (play by play, game by game) with opponent, performance to date and play calling/situational tendencies factored in.
If D.Will can come back and start beasting the rest of the way i may have a chance. D.Will Bradshaw Spiller L.Washington and Foster at rb i really striked out there.

Was going to joke about Spiller, but perhaps it's no joke. Caught this nugget on the bengals.com website:"For the Bill, running back C.J. Spiller, who ripped the Bengals in the preseason, won't play with an injured hamstring."levinakl said:bad news for 82 owners on D'Angelo Williamscould it help the 6 owners with Stewart? Possibly (Full disclosure, I own neither)I'm still amazed by the fact that over 1/4 of the field has Finley (424 entries)14 have both Finley & Williams23 have Romo115 have Mark Clayton1 has Donnie Avery1 has Ramses Barden1 has Antonio Bryant69 have Jake Delhomme11 have Trent Edwards9 have Kevin Faulk29 - Anthony Gonzalez14 - Stephen Gostowksi31 - Ryan Grant332 - Jason Hanson2 - Montario Hardesty6 - Steve Hauscuka62 - Chad Henne1 - Torry Holt60 - Larry Johnson16 - Matt Moore56 - Mike Nugent64 - Jeff Reed38 - Alex Smith252 - Matthew Stafford (including me)2 - Ben Tate18 - Pierre Thomasthere's most of the dead weight, I'm sure I missed a few......
-QGdid I miss the week 11 sim being posted?TheChairman said:Wow, #1 in sim only has 93.2 survival %
I don't think it's been posted, but the link works.did I miss the week 11 sim being posted?TheChairman said:Wow, #1 in sim only has 93.2 survival %

Updated.-QGGoing into week 10, these are the entries with the most players left at each position.
6 QB Guy OUTThere's 13 5-QB guys.
10 RB Guy #1 STILL IN
10 RB Guy #2 STILL IN
10 RB Guy #3 STILL IN
10 RB Guy #4 OUT
18 WR Guy!!!Side note - this entry has had the most WRs the entire way.
STILL IN!!!!!!!!!!!!!!!!!!!!!!![]()
7 TE Guy STILL IN
8 PK Guy.OUT There are 3 7-PK guys left.
7 Defense GuyOUT. The new champ: 6 Defense Guy!
So there you go![]()
-QG