The Iguana
Footballguy
bump.Doug Drinen said:Pre-MNF sim. The cut will almost certainly be in the low-to-mid 140s.
bump.Doug Drinen said:Pre-MNF sim. The cut will almost certainly be in the low-to-mid 140s.
Already running 11+ points ahead of the cut line the last two weeks compared to last year. Is scoring up more at the beginning of the year this year w/high % owned players? Is this the impact of expanded roster options? Tough to say at this point, but I am inclined to go with the latter. Will be interesting to see the roster size vs survival rate that is being posted as the weeks begin to pass. That IMO will hold a huge clue to determining best approach for next year, assuming rules stay static. Of course that will be coupled with choosing the right value plays to begin with.BaBastage said:Cutoffs from 2009: 2010:Week 1 120.88 ............. 125.90Week 2 130.04 ............. 141.75 Week 3 126.34 ............. 145.00 ish estimated from Drinen's SIMWeek 4 113.79 Week 5 110.99 Week 6 141.44 Week 7 130.29 Week 8 131.44 Week 9 139.19 Week 10 130.04 Week 11 159.49 Week 12 167.89 Week 13 164.24Anyone got a idea of a cutoff for the week? Im sitting at 150 and a bit nervous from the replys of peoples scores for the week in this thread. I only got a real big week from my qb but Id imagine just about everyone had one of the studs putting up big numbers this week. D.Williams at 28 bucks is my biggest regret.
A lot of the discussion of expanded rosters provides comment from the large roster side that "best ball" is maximized with the additional depth. I think that this is true, but also the compressed costs results in the opportunity to acquire more higher cost players (studs) which may also be contributing to the higher scoring. I think that the higher scores will continue throughout the entire contest.Already running 11+ points ahead of the cut line the last two weeks compared to last year. Is scoring up more at the beginning of the year this year w/high % owned players? Is this the impact of expanded roster options? Tough to say at this point, but I am inclined to go with the latter. Will be interesting to see the roster size vs survival rate that is being posted as the weeks begin to pass. That IMO will hold a huge clue to determining best approach for next year, assuming rules stay static. Of course that will be coupled with choosing the right value plays to begin with.BaBastage said:Cutoffs from 2009: 2010:Anyone got a idea of a cutoff for the week? Im sitting at 150 and a bit nervous from the replys of peoples scores for the week in this thread. I only got a real big week from my qb but Id imagine just about everyone had one of the studs putting up big numbers this week. D.Williams at 28 bucks is my biggest regret.
Week 1 120.88 ............. 125.90
Week 2 130.04 ............. 141.75
Week 3 126.34 ............. 145.00 ish estimated from Drinen's SIM
Week 4 113.79
Week 5 110.99
Week 6 141.44
Week 7 130.29
Week 8 131.44
Week 9 139.19
Week 10 130.04
Week 11 159.49
Week 12 167.89
Week 13 164.24
I use pen and paper, myself.If you look at the Turk's projections and look at the minimum, that's your score within the next whole point.-QGHow do you figure out what your team score is currently?
I have a spreadsheet - have to enter the stats manually and it calculates the score, and which players will count.How do you figure out what your team score is currently?
cool... upload it to google docs or something and let us all share!I have a spreadsheet - have to enter the stats manually and it calculates the score, and which players will count.How do you figure out what your team score is currently?
cool... upload it to google docs or something and let us all share!I have a spreadsheet - have to enter the stats manually and it calculates the score, and which players will count.How do you figure out what your team score is currently?![]()
I am very lazy.
Totally. Although DeAngelo Williams was as much or more and he's been pretty awful, too.is Shonn Greene the worst pick of this contest?Best pick of the contest maybe be the Skins kicker!!
Update. Started with approximately 114 (per Turkomatic). Had Rodgers (28.8) minus Garrard (6.55) so that's an increase of 22.25. Had Finley for 25.0. Kickers didn't beat his top guy. Anyhow it washes out to about 161 or so. 21-kicker guy lives!!!!Btw, for those who are wondering crowd favorite 21-kicker guy is at 51.7% to advance according to the Turkomatic. He's got Rodgers and Finley going. Oh and Crosby and Gould of course-QG
-QGThank you Dan Carpenter and your glorious 16 pts. Made the cut by 1.2 points. Cutting that a bit close there...Still alive! Put up 169 pointsI doubt I make it to the end b/c I only have 19 players (1 guy was just cut) so 18 players
You had me beat, I slid thru at 1.5 over on the strength of James Jones 10.5 point effort. I still think the right number of players is in the 24-26 range (I have 25), but you need to be better than me at picking them. My WRs suck horribly, and my RBs are not much better.Thank you Dan Carpenter and your glorious 16 pts. Made the cut by 1.2 points. Cutting that a bit close there...Still alive! Put up 169 pointsI doubt I make it to the end b/c I only have 19 players (1 guy was just cut) so 18 players
https://spreadsheets0.google.com/ccc?key=te...=CPyb8t4N#gid=0Try this - first time I have uploaded to google docs so I think it all came through.cool... upload it to google docs or something and let us all share!I have a spreadsheet - have to enter the stats manually and it calculates the score, and which players will count.How do you figure out what your team score is currently?
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I bet some people didn't look at the scoring chart. It's all about turnovers, sacks and defensive TDs (including kick returns)."Points allowed" is a non-factor, so a team like the Jets can play an excellent NFL game but still score low in this contest. Seattle obviously came up big this week thanks to Leon Washington's two return TDs.Is it worth spending more for defenses?? Noticed that the NYJ def was a popoular choice for $9 when I just get 3 low priced defenses. This week Seattle came up big with 26 pts and the NYj def has yet to break double figures.....
I bet some people didn't look at the scoring chart. It's all about turnovers, sacks and defensive TDs (including kick returns)."Points allowed" is a non-factor, so a team like the Jets can play an excellent NFL game but still score low in this contest. Seattle obviously came up big this week thanks to Leon Washington's two return TDs.Is it worth spending more for defenses?? Noticed that the NYJ def was a popoular choice for $9 when I just get 3 low priced defenses. This week Seattle came up big with 26 pts and the NYj def has yet to break double figures.....
I agree, I think this is one of the little things they put in to see if your paying attention (like not including byes, return TD's not counting for individual players). I haven't looked at any numbers but I might be willing to bet that the correlation between price and points scored for defense is pretty low.roster size / overall survival / week 2 survival18 / 58.46 / 80.0719 / 64.57 / 83.8420 / 67.26 / 86.1221 / 68.68 / 87.7722 / 69.21 / 88.7623 / 73.01 / 90.5224 / 74.95 / 89.7625 / 76.37 / 90.5626 / 77.92 / 91.9527 / 81.12 / 94.9728 / 72.22 / 94.2029 / 78.87 / 94.9230 / 80.07 / 95.18
It's still early in the season but I just ran a regression on the defense points scored and price and it hsa a correlation of .0623, an R^2 of .00388, and in fact, the regression equation currently is Points = 20.63 - .335 * ($spent on Def), so currently for each additional dollar spent, you'd expect .33 points less. Again it's still early, but I'd expect the correalation and R^2 to both stay pretty low.I bet some people didn't look at the scoring chart. It's all about turnovers, sacks and defensive TDs (including kick returns)."Points allowed" is a non-factor, so a team like the Jets can play an excellent NFL game but still score low in this contest. Seattle obviously came up big this week thanks to Leon Washington's two return TDs.Is it worth spending more for defenses?? Noticed that the NYJ def was a popoular choice for $9 when I just get 3 low priced defenses. This week Seattle came up big with 26 pts and the NYj def has yet to break double figures.....I agree, I think this is one of the little things they put in to see if your paying attention (like not including byes, return TD's not counting for individual players). I haven't looked at any numbers but I might be willing to bet that the correlation between price and points scored for defense is pretty low.
To an extent. I spent for Pitt and Chicago becuase of the sack potential and TD potential. Playmakers like Troy P, Peppers, Hester seem to make things happen. About the only defensive stat that can be projected with any accuracy is sacks so I lean on those tools when picking team Ds.I bet some people didn't look at the scoring chart. It's all about turnovers, sacks and defensive TDs (including kick returns)."Points allowed" is a non-factor, so a team like the Jets can play an excellent NFL game but still score low in this contest. Seattle obviously came up big this week thanks to Leon Washington's two return TDs.Is it worth spending more for defenses?? Noticed that the NYJ def was a popoular choice for $9 when I just get 3 low priced defenses. This week Seattle came up big with 26 pts and the NYj def has yet to break double figures.....I agree, I think this is one of the little things they put in to see if your paying attention (like not including byes, return TD's not counting for individual players). I haven't looked at any numbers but I might be willing to bet that the correlation between price and points scored for defense is pretty low.
As bad as it's been for the 18-man teams so far, once the byes hit it's only going to get worse. I know the argument is that these 18-man teams should be better in weeks 14-16, but if the attrition keeps up at this rate there will seriously only be like 25-30 18-man rosters in the final 250.Survival Rate % by roster size (before the first bye week):
18 - 58.46%
19 - 64.57%
20 - 67.26%
21 - 68.68%
22 - 69.21%
23 - 73.01%
24 - 74.95%
25 - 76.37%
26 - 77.92%
27 - 81.12%
28 - 72.22%
29 - 78.87%
30 - 80.07%
Sweet! Thank you very much! Everything seems to be working perfectly. Excellent job!https://spreadsheets0.google.com/ccc?key=te...=CPyb8t4N#gid=0Try this - first time I have uploaded to google docs so I think it all came through.cool... upload it to google docs or something and let us all share!I have a spreadsheet - have to enter the stats manually and it calculates the score, and which players will count.How do you figure out what your team score is currently?
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I built this a few years ago and have not updated it - I might have changed a couple of things if I was more industrious, its not particularly pretty, but it is functional.
You need to input Yards for passing, rushing, and receiving; number of receptions, TDs (note this is total TDs - they all count 6 points), FGs (based on yardage), sacks, INTs, Fumbles and safties. I usually do this a few times on Sundays.
It will calculate your score, including your flex player. It "fits" my roster, so if you have more players at any given position you need to tweak the formulas. In a nutshell, it calculates each players score, then identifies the top QB score, top 2 RB scores, top 3 WR scores, Top TE score, and top K and D. It then will look at teh leftover RB, WR, and TE scores to find the highest remaining score as your flex.
As I look at it right now - you can change the formulas in column L to Large([your RB score range], 3), Large([your WR score range], 4), Large([Your TE score range], 2) to get the flex score - I include more than are necessary in the spreadsheet.
Time for a stats junky mini-book.The one thing I don't think either side in the "big roster" verses "little roster" argument takes into account is that the little roster folks (at least several of the vocal ones) are saying that it isn't just about survival but also about trying to win at the end with quality over quantity. Most of the "little roster" folks are just about surviving and then "hope for the best". That was kind of my philosophy as I filled out my roster. I figure it's a huge crap shoot just to make it to 250 out of 13000+ to start. If I get lucky enough to make it that far, then I'll hope my team can do something. The idea of building a team with the thought of finishing in the top 10 seems crazy to me. I just want to hang around and than "see what happens. All that said, just highlighting that the 18 player rosters have the lowest survival rating isn't going to "win" the debate.Survival Rate % by roster size (before the first bye week):
18 - 58.46%
19 - 64.57%
20 - 67.26%
21 - 68.68%
22 - 69.21%
23 - 73.01%
24 - 74.95%
25 - 76.37%
26 - 77.92%
27 - 81.12%
28 - 72.22%
29 - 78.87%
30 - 80.07%
The sample sizes above 25 are too small to make conclusions that specific. Right now it looks like 25-30 is more or less a wash, though that may change with bye weeks coming up.Taking that into account, it is hard to say what is better to "win" the game. It seems obvious that to just survive, bigger is better, to a point. Even just looking at the 20 to 30 roster sizes and not trying to determine how many 18 or 19 team rosters are "legit", there is a definite positive correlation between more players and better chance of survival. I find it interesting that there is a significant dip at 28 players but then another rise at 29 and 30. So, theoretically looking at just survival, it's would seem that 27 is the optimal number of players at this point. I also have pulled queries for each position by count. that will be the next "chapter".
RB:Num TOTAL LEFT %2 133 49 36.843 1101 648 58.864 4538 2925 64.465 4337 2888 66.596 1918 1318 68.727 684 460 67.258 261 173 66.289+ 89 60 67.42
WRsNum TOTAL LEFT %3 180 48 26.674 787 364 46.255 2938 1793 61.036 4172 2778 66.597 2576 1747 67.828 1308 956 73.099 610 456 74.7510 290 230 79.3111+ 200 149 74.50
I would agree with that. That's why I posted what the actual team counts looked like. Everyone posts %'s but no one really looks at the numbers.The sample sizes above 25 are too small to make conclusions that specific. Right now it looks like 25-30 is more or less a wash, though that may change with bye weeks coming up.Taking that into account, it is hard to say what is better to "win" the game. It seems obvious that to just survive, bigger is better, to a point. Even just looking at the 20 to 30 roster sizes and not trying to determine how many 18 or 19 team rosters are "legit", there is a definite positive correlation between more players and better chance of survival. I find it interesting that there is a significant dip at 28 players but then another rise at 29 and 30. So, theoretically looking at just survival, it's would seem that 27 is the optimal number of players at this point. I also have pulled queries for each position by count. that will be the next "chapter".
The sample sizes above 25 are too small to make conclusions that specific. Right now it looks like 25-30 is more or less a wash, though that may change with bye weeks coming up.Taking that into account, it is hard to say what is better to "win" the game. It seems obvious that to just survive, bigger is better, to a point. Even just looking at the 20 to 30 roster sizes and not trying to determine how many 18 or 19 team rosters are "legit", there is a definite positive correlation between more players and better chance of survival. I find it interesting that there is a significant dip at 28 players but then another rise at 29 and 30. So, theoretically looking at just survival, it's would seem that 27 is the optimal number of players at this point. I also have pulled queries for each position by count. that will be the next "chapter".
The differences between 25-30 can probably just be attributed to noise (random variation). That said, I think these charts aren't really telling us much we didn't know anyway. I mean, we know in a best ball format, larger rosters increases your chances at survival. We also know that smaller rosters decreases your chances at survival. This chart pretty much confirms this. But the agrument made by 18 man (and smaller rosters) is that selecting such would increase their chances of making it to the top 250, it's increasing their chances of winning this thing should they get there. Is this true? I don't know, nor do I think we'll ever really know. I do think that one of these "stud" teams probably would be the favorite over many of the "value" teams once in the top 250. However, I'm not sure this advantage doesn't disappear when you consider that it's not a head to head thing.KsNum TOTAL LEFT %1 1093 539 49.312 8223 5400 65.673 2868 2040 71.134 606 410 67.665+ 271 132 48.71
DS TOTAL LEFT %1 1290 654 50.702 8623 5679 65.863 2577 1827 70.904 457 294 64.335+ 114 67 58.77
Not sure if these numbers are possible to get, but since we just completed 3 weeks, can a 3 week tally be done using weeks 1-3, just as if they were weeks 14-16? It would be a good test to compare who the top combined total teams were for weeks 1-3 with respect to amount of players on their teams.The 18 player rosters should be a large majority if their theory is a small roster will have a better shot at winning if they survive the first 13 weeks, right? Also the first 3 weeks have no NFL teams on bye and the most players not injured yet, so less of those effects would be present, which should make the 18 team rosters even more powerful by their logic.I also agree with the previous poster that larger roster teams probably had people taking a more serious look at who to pick percentage-wise than the 18 team rosters. Which could also account for the higher loss rate of the 18 roster teams, since there is probably a higher amount of entries with less thought put into them submitted. Albeit, if you look at the total amount of subscribers compared to the total amount of submissions in the contest, a lot of the not too interested people never even put in lineups so are pre-excluded...
Was just about to suggest the same exercise. Who are the top 250 cumulative to this point as relation to their roster sizes?I wasn't expecting to show any great revelation here. Just was interested in some of the numbers up to this point. What I did find interesting is that much of what I used for my strategy based on feel is proved out via the numbers so far. Basically that is that you want 3 at each positions that requires 1 "starter" and that money is better spent on lots of WRs and TEs than on more RBs. RBs is the traditional spot to spend your resources in FF but I think it's apparent that from a survival standpoint, you need a few solid options at RB and then should load up on multiple options at WR.That said, I think these charts aren't really telling us much we didn't know anyway.
This would be an intersting thing to see. Basically a break down of the number of teams in the top 50, top 100, top 250, etc by number of players on the roster.Not sure if these numbers are possible to get, but since we just completed 3 weeks, can a 3 week tally be done using weeks 1-3, just as if they were weeks 14-16? It would be a good test to compare who the top combined total teams were for weeks 1-3 with respect to amount of players on their teams.The 18 player rosters should be a large majority if their theory is a small roster will have a better shot at winning if they survive the first 13 weeks, right? Also the first 3 weeks have no NFL teams on bye and the most players not injured yet, so less of those effects would be present, which should make the 18 team rosters even more powerful by their logic.I also agree with the previous poster that larger roster teams probably had people taking a more serious look at who to pick percentage-wise than the 18 team rosters. Which could also account for the higher loss rate of the 18 roster teams, since there is probably a higher amount of entries with less thought put into them submitted. Albeit, if you look at the total amount of subscribers compared to the total amount of submissions in the contest, a lot of the not too interested people never even put in lineups so are pre-excluded...
My problem with this analysis , specifically for QB and RB's is that there are multiple strategies within each grouping. Take 2 QB's for example, this could mean 2 high priced studs, 2 middle tier player, 2 lower (less likely), it could mean 1 high priced and a middle tier, 1 high priced and a lower tier, 1 middle tier and a lower tier. So this one alone has 6 possible strategies (3 QB's would be even more). So let's just say, the majority of the top 250 teams (let's say 90%) had 2 QB's. So we draw the conclusion that the optimal roster has 2 QB's. Ok, great...now what? Which of these 2 QB strategies is the way to go?In addition to that, there is some dependancy going on....lets say 225 of the top 250 have 2 QB, 210 of them also have have 5 RB's, the other 25 teams are made of 5 RB's and 3 QB's. What's the more important factor then 2 QBs or 5 RB's (in this example the answer might be easier but it'll be much more complicated in real life). Did those teams get there because of selecting 5 RB's and most of them just happen to have 2 Qb's? Or b/c they had 2 Qb's and most of them just happen to have 5 rb's?Part 2... position by position.
Code:QB:Num TOTAL LEFT %1 367 197 53.682 7365 4826 65.533 4480 2975 66.414 676 439 64.945+ 173 84 48.55Code:RB:Num TOTAL LEFT %2 133 49 36.843 1101 648 58.864 4538 2925 64.465 4337 2888 66.596 1918 1318 68.727 684 460 67.258 261 173 66.289+ 89 60 67.42First, having the minimum number even before bye weeks is obviously a big negative. Seems obvious but just pointing it out. As I expected when I created my own entry, WR is the one place that bigger is always better. WR scoring is the one in any FF league that is the toughest to predict week to week and the one most likely to fluctuate greatly IMO. More WRs means more chances to hit, especially in a "best ball" format such as this. Even at the point of seeming mildy ridiculous at 11 or 12+, the survival rate is still well above average. Assuming you avoid injuries, RB is a spot you can have fewer and get away with it. I think a big part of this is that it is harder to find lower priced RBs that will contribute enough to be part of your score in a given week. Looking at my own roster, I think I could easily see a good argument to combine from 7 RBs down to 5. So far, the $19 I spent on the bottom 3 guys could have been better spent on 1 guy that would contribute. That said, there is still a chance that I get a TD when I need it from McGahee, Scott and/or Ringer somewhere during the bye weeks.So far at QB there isn't a significant difference between 2, 3 and 4 QBs to warrent pushing one number over the other. I think now that we are in the bye weeks, the advantages of 3 or 4 qbs will become apparent. Time will tell.Code:WRsNum TOTAL LEFT %3 180 48 26.674 787 364 46.255 2938 1793 61.036 4172 2778 66.597 2576 1747 67.828 1308 956 73.099 610 456 74.7510 290 230 79.3111+ 200 149 74.50
Actually many of the small roster guys argue quality over quantity will get them through to the finals. They stand by this for a few weeks until the decimation begins and they have to abandoned that postion. Then the argument solely focuses on the playoff weeks. Once those come, the cycle repeats and they disappeared until next year when the same argument is renewed with the qualifiers that the rules and/or prices changed or the sample size of two seasons isn't enough to make a conclusion.That said, they should have a fighting chance this year based on the sheer number of 18 man rosters entered.The sample sizes above 25 are too small to make conclusions that specific. Right now it looks like 25-30 is more or less a wash, though that may change with bye weeks coming up.Taking that into account, it is hard to say what is better to "win" the game. It seems obvious that to just survive, bigger is better, to a point. Even just looking at the 20 to 30 roster sizes and not trying to determine how many 18 or 19 team rosters are "legit", there is a definite positive correlation between more players and better chance of survival. I find it interesting that there is a significant dip at 28 players but then another rise at 29 and 30. So, theoretically looking at just survival, it's would seem that 27 is the optimal number of players at this point. I also have pulled queries for each position by count. that will be the next "chapter".The differences between 25-30 can probably just be attributed to noise (random variation). That said, I think these charts aren't really telling us much we didn't know anyway. I mean, we know in a best ball format, larger rosters increases your chances at survival. We also know that smaller rosters decreases your chances at survival. This chart pretty much confirms this. But the agrument made by 18 man (and smaller rosters) is that selecting such would increase their chances of making it to the top 250, it's increasing their chances of winning this thing should they get there. Is this true? I don't know, nor do I think we'll ever really know. I do think that one of these "stud" teams probably would be the favorite over many of the "value" teams once in the top 250. However, I'm not sure this advantage doesn't disappear when you consider that it's not a head to head thing.
More is better to a point. Someone could do a point scored per position per dollar spent analysis. Once you rank the position where the dollars were best spent from top to bottom, you'd optimized the stats above to fit that model.My problem with this analysis , specifically for QB and RB's is that there are multiple strategies within each grouping. Take 2 QB's for example, this could mean 2 high priced studs, 2 middle tier player, 2 lower (less likely), it could mean 1 high priced and a middle tier, 1 high priced and a lower tier, 1 middle tier and a lower tier. So this one alone has 6 possible strategies (3 QB's would be even more). So let's just say, the majority of the top 250 teams (let's say 90%) had 2 QB's. So we draw the conclusion that the optimal roster has 2 QB's. Ok, great...now what? Which of these 2 QB strategies is the way to go?In addition to that, there is some dependancy going on....lets say 225 of the top 250 have 2 QB, 210 of them also have have 5 RB's, the other 25 teams are made of 5 RB's and 3 QB's. What's the more important factor then 2 QBs or 5 RB's (in this example the answer might be easier but it'll be much more complicated in real life). Did those teams get there because of selecting 5 RB's and most of them just happen to have 2 Qb's? Or b/c they had 2 Qb's and most of them just happen to have 5 rb's?Part 2... position by position.
Code:QB:Num TOTAL LEFT %1 367 197 53.682 7365 4826 65.533 4480 2975 66.414 676 439 64.945+ 173 84 48.55Code:RB:Num TOTAL LEFT %2 133 49 36.843 1101 648 58.864 4538 2925 64.465 4337 2888 66.596 1918 1318 68.727 684 460 67.258 261 173 66.289+ 89 60 67.42First, having the minimum number even before bye weeks is obviously a big negative. Seems obvious but just pointing it out. As I expected when I created my own entry, WR is the one place that bigger is always better. WR scoring is the one in any FF league that is the toughest to predict week to week and the one most likely to fluctuate greatly IMO. More WRs means more chances to hit, especially in a "best ball" format such as this. Even at the point of seeming mildy ridiculous at 11 or 12+, the survival rate is still well above average. Assuming you avoid injuries, RB is a spot you can have fewer and get away with it. I think a big part of this is that it is harder to find lower priced RBs that will contribute enough to be part of your score in a given week. Looking at my own roster, I think I could easily see a good argument to combine from 7 RBs down to 5. So far, the $19 I spent on the bottom 3 guys could have been better spent on 1 guy that would contribute. That said, there is still a chance that I get a TD when I need it from McGahee, Scott and/or Ringer somewhere during the bye weeks.So far at QB there isn't a significant difference between 2, 3 and 4 QBs to warrent pushing one number over the other. I think now that we are in the bye weeks, the advantages of 3 or 4 qbs will become apparent. Time will tell.Code:WRsNum TOTAL LEFT %3 180 48 26.674 787 364 46.255 2938 1793 61.036 4172 2778 66.597 2576 1747 67.828 1308 956 73.099 610 456 74.7510 290 230 79.3111+ 200 149 74.50
That's true just looking at 18 vs 30 too, right? Right now, the stats show that having 2, 3 or 4 QBs isn't that big of a difference when bye weeks aren't involved. I think it will be intesting to compare QB stats as the bye weeks hit. My hypothesis is that 3 and 4 QB teams will have an advantage over 2 QB teams when the bye Weeks hit. Time will tell.At RB I think it shows that, at least so far, there isn't a huge advantage to having more than 4 RBs. I think as bye weeks roll around that teams with 5, 6 and 7 will fair significantly better than teams with 4. Right now, if you just pull the top stats it says you should have 3 QBs, 6 RBs, 10 WRs, 4 TEs, 3 Ks and 3Ds for a total of 29 players. Means nothing but just interesting to me.My problem with this analysis , specifically for QB and RB's is that there are multiple strategies within each grouping. Take 2 QB's for example, this could mean 2 high priced studs, 2 middle tier player, 2 lower (less likely), it could mean 1 high priced and a middle tier, 1 high priced and a lower tier, 1 middle tier and a lower tier. So this one alone has 6 possible strategies (3 QB's would be even more). So let's just say, the majority of the top 250 teams (let's say 90%) had 2 QB's. So we draw the conclusion that the optimal roster has 2 QB's. Ok, great...now what? Which of these 2 QB strategies is the way to go?
I've used 17 of my 22:QBs - 1 of 2 (other is Ben)RBs - 3 of 4WRs - 5 of 5TEs - 2 of 3Ks - 2 of 4Ds - 3 of 4I expect to eventually use all of my players at some point (if I last that long). Unused players are:QB - Ben RoethlisbergerRB - Reggie BushWR - noneTE - Heath MillerK - Bironas & HansonD - 49ersAll of them are perfectly capable of contributing when healthy and playing. I've been lucky in that none of my picks are total duds yet. Bush's injury leaves me too thin at RB, but every other position is solid. I've come to realize I need one more WR, but I like my chances to score big with the 5 I have.Not that it means anything at all but I also find it interesting that after 3 weeks of scores, of my 30 man roster, I've used scores from exactly 18 of my players to survive to week 4. QBs - 3 of 4RBs - 4 of 7WRs - 5 of 10TEs - 2 of 3Ks - 2 of 3Ds - 2 of 3Flex - 2 RBs and 1 TE.
218.9 in week one--still alive!!!173.4 in week two--still alive!!!170.4 in week three--still alive!!!Tom Brady $24 Joe Flacco $17 Ronnie Brown $19 Ahmad Bradshaw $18 Arian Foster $13 LaDainian Tomlinson $12 Thomas Jones $7 Mike Tolbert $1 Miles Austin $27 Wes Welker $21 Dez Bryant $13 Mike Williams $8 Bernard Berrian $7 Louis Murphy $4 Deion Branch $3 Dwayne Jarrett $3 Mark Clayton $3 Johnnie Lee Higgins $1 Zach Miller $15 Chris Cooley $13 Aaron Hernandez $5 David Buehler $4 Dan Carpenter $3 San Francisco 49ers $5 Tennessee Titans $4
There was some discussion about this a few weeks ago, starting here.I still think it is safe to assume that quite a few of the 18-player rosters were "phoned in" - just filled out very quickly without much thought. It's just a fact that if you ask 10,000 people to perform a task, there will be a certain percentage of those people who will put in the absolute minimum amount of effort required, even if there is a reward involved. I'm sure there are plenty of 18-player rosters that were put together with a lot of thought too, but the others are the reason why there is such a large number of them.One thing I find interesting that no one really discusses is the distribution of the number of teams entered at each roster size: