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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.

 
Modog814 said:
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%
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.
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:
Code:
Size	Survive18	18919	11120	 9321	 7522	 7723	 8724	 6925	 7426	 5727	 5128	 3329	 2930	 66
I'll look at it more in depth tomorrow and probably make some changes, though.
 
Ignoratio Elenchi said:
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.
Small rosters are catching up...
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
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:
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.
Small rosters are catching up...
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
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.
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.
 
Ignoratio Elenchi said:
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.
Small rosters are catching up...
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.
 
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.
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.
 
Ignoratio Elenchi said:
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.
Small rosters are catching up...
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.
Thanks Iggy! I appreciate the information! :unsure: 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.
 
Ignoratio Elenchi said:
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.
Small rosters are catching up...
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.
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?
 
Ignoratio Elenchi said:
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.
Small rosters are catching up...
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.
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?
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 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.

 
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.

 
Ignoratio Elenchi said:
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.
Small rosters are catching up...
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.
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?
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 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.
 
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.
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. :rolleyes:

 
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.
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. :shrug:
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).

 
I will start with the disclosure that my roster started with only 19 and is down to 18 as Clayton is on IR. I count myself as a convert to the larger roster reasoning, but with some qualification. Today I looked at how many survivors have each of my players. It occurred to me that Ray Rice is the most important man on my team and Foster is the least important player as virtually everyone owns him. This led me to thinking about what leads to success in this contest.

I looked at Iggy's earlier post regarding the team which would have won if the playoffs were weeks 8-10. It became clear that simply having 25 men on the roster was not the key to success. That team would have used only 16 men over the three week span (which included significant byes). What made that team successful was hitting home runs at the major posistions and some luck. He had Foster, Peterson, Dez Bryant and Tampa Mike who all counted in each week. That represents one-half of the 24 scores required from the major positions. Calvin Johnson was used twice. With the exception of Peterson and Johnson he had great success for moderate prices. He did not spend much at QB or TE (a total of $57 for 3 players at each position.) Remarkably he did not use two of those six players and they cost $14 and $15. So he got excellent results from some very targeted choices. Finally, he got quite lucky with his choices at K and DEF. Three of those six scores were the highest numbers posted by those players in the 10 week span.

What can we learn for this (he said somewhat presumptuously)?

First, more of this success is due to hitting the mark rather than to tossing stuff against the wall and waiting to see what sticks. A lot of people (myself included) found Tampa Mike and Foster. This guy also spent his money on Peterson (versus my Rice) and Bryant (versus my Gaffney). To win you can not have high priced disappointments. To win you alsos need to have moderately priced home runs. Sheer volume is not the key. Nine of his 25 players didn't count. I'll give him a pass on Ryan Grant being injured, but he did cover that with B Jackson who did count in one of the three weeks. Call it the purchase of the GB RB for $31.

Second, you need to take some low priced chances which have the potential to payoff in a large way. Lower priced TEs are probably the greatest investment. No one of them will equal Gates, but given the 1.5 PPR and the 6 points for TDs they can be huge. Along the sam lines Vick for $3 was, in retrospect, a home run waiting to happen. Past achievement may be a key to future potential. Some guys like Grant, Clayton and Floyd may be bargains next year based on stats which are depressed by injury time. I will personally be waiting for a $10 Wes Welker one year removed from his knee surgery.

Third, the question of diversity may be over analyzed. This winning team didn't win because he had one player who was totally unique to his team. His team probably was not very unique at all. He won because he had a unique combination of players. This involved some who were must haves, some who were studs who paid off, and some who were lucky guesses who simply paid off big at the right time.

Finally, at the risk of being redundant - Past achievement may be a key to future potential. Rookies have the potential to be full of potential. Tampa Mike is an exception, not the rule. Mathews, Best, and Spiller are dying primarily, not from lack of opportunity, but from lack of proven ability at this level and maybe also from lack of good blocking team mates.

I will revise these thoughts, but not until I have some real reason to do so. Thanks to Iggy for shining the light on the path.

 
We 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.

 
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.
This makes sense to me.
 
We 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.
You should do this with entries 100001 through 100250 (of course I'm one of those :thumbup: )-QG
 
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.
The link to the Querier is on the Weekly Content Page.
 
My predicted breakdown for the top 1000 (1003 really since its based on simulations making it through)

Code:
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%
 
Last edited by a moderator:
az_prof said:
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.
This makes sense to me.
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.
 
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.
 
Last edited by a moderator:
These are the 28 teams that averaged more than 600 points over the last three weeks (Weeks 14-16, according to my sim), all 28 are in the 250 most likely to make the top 250.


Code:
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
 
Last edited by a moderator:
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.
Where do you see Entry 102809 ranked? Any chance of getting into the top 250?
 
A crude attempt at combining likelihood of getting into the top 250 and avg 3 weeks score in a power rankings, (Score = the rank of getting into top 250 + rank of Avg 3 week score, so lower is better)


Code:
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
 
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.
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 10 :2cents:

-QG
 
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
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
Are you sure the high scorers the last three weeks weren't just teams that had most of their byes weeks 4 to 6?
Care to explain why you think this?
 
Care to explain why you think this?
People with heavy byes weeks 8,9,10 will be underrepresented. So your last 3 weeks score will be flawed.
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?
 
Care to explain why you think this?
People with heavy byes weeks 8,9,10 will be underrepresented. So your last 3 weeks score will be flawed.
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?
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.
 
bad news for 82 owners on D'Angelo Williams

could 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 & Williams

23 have Romo

115 have Mark Clayton

1 has Donnie Avery

1 has Ramses Barden

1 has Antonio Bryant

69 have Jake Delhomme

11 have Trent Edwards

9 have Kevin Faulk

29 - Anthony Gonzalez

14 - Stephen Gostowksi

31 - Ryan Grant

332 - Jason Hanson

2 - Montario Hardesty

6 - Steve Hauscuka

62 - Chad Henne

1 - Torry Holt

60 - Larry Johnson

16 - Matt Moore

56 - Mike Nugent

64 - Jeff Reed

38 - Alex Smith

252 - Matthew Stafford (including me)

2 - Ben Tate

18 - Pierre Thomas

there's most of the dead weight, I'm sure I missed a few......

 
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......
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." :rolleyes: -QG
 

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