CSFL StatCenter

[NOppenheimer]

I'm going to try to post some interesting stats here.

Best and worst CBs of 2011 based on catch rate (Catches allowed/targets), minimum 100 targets

Best:

Code: Select all

	Name			Team	Pos	catchrate
897	Rashean	Mathis		Jax	CB	0.410714
2783	Derek	Cox		Jax	CB	0.437500
1006	Leodis	McKelvin	KC	CB	0.455172
1440	Tracy	Porter		NO	CB	0.464968
3524	Korey	Lindsey		KC	CB	0.469136
426	Ronde	Barber		Det	CB	0.473282
158	Joe	Haden		Cle	CB	0.481013
1553	Dunta	Robinson	Den	CB	0.486726
2458	Cornel.	Brown		Det	CB	0.508621
2484	Sheldon	Brown		Cle	CB	0.540984
138	Champ	Bailey		Den	CB	0.550847
3510	Chimdi	Chekwa		Buf	CB	0.564626
1961	Ike	Taylor		Pit	CB	0.582090
3069	Cortla.	Finnegan	Ten	CB	0.585586
3536	Brandyn	Thompson	Mia	CB	0.589404

Worst:

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	Name			Team	Pos	catchrate
1478	Glover	Quin		Hou	CB	0.787037
2046	Marcus	Trufant		Sea	CB	0.765152
3508	Brandon	Burton		Bal	CB	0.746835
1578	Carlos	Rogers		Was	CB	0.740458
265	Kelvin	Hayden		Bal	CB	0.736842
492	Mike	Jenkins		Dal	CB	0.724832
3521	Coryell	Judie		LAC	CB	0.718182
371	Chris	Houston		Sea	CB	0.707692
1942	Aqib	Talib		TB	CB	0.700730
2607	Antoine	Cason		Car	CB	0.700000
2837	Craig	Dahl		LAR	CB	0.699187
2368	Antoine	Winfield	Min	CB	0.697842
1574	Domini.	Rodgers-Crom.	Ari	CB	0.693750
1220	Terence	Newman		Dal	CB	0.687500
3534	Richard	Sherman		Cin	CB	0.687500

Does it correlate with overall rating?

Nope.

[Cleasby]

Thanks for stepping up with this. We need more awesome content like this Mathis on a bargain deal by the looks of it

[NOppenheimer]

I'm going to add these but leave the formatting ugly, because fixing the formatting is the hardest part of this
Best based on pass defense rate

Code: Select all

FirstName	LastName	Team	Position	pdrate
897	Rashean	Mathis	Jax	CB	0.273810
1440	Tracy	Porter	NO	CB	0.235669
138	Champ	Bailey	Den	CB	0.220339
1006	Leodis	McKelvin	KC	CB	0.206897
3526	Byron	Maxwell	Ten	CB	0.187845
426	Ronde	Barber	Det	CB	0.175573
3511	Morris	Claiborne	Min	CB	0.171233
2837	Craig	Dahl	LAR	CB	0.170732
959	Devin	McCourty	NE	CB	0.169935
2783	Derek	Cox	Jax	CB	0.169643
2803	Antonio	Cromartie	NYJ	CB	0.165605
641	Ronald	Bartell	SF	CB	0.165354
3539	Shareece	Wright	Pit	CB	0.164179
1600	Stanford	Routt	Oak	CB	0.159292
2394	Charles	Woodson	GB	CB	0.158416

Worst

Code: Select all

	FirstName	LastName	Team	Position	pdrate
3159	Chris	Gamble	Ari	CB	0.075188
3524	Korey	Lindsey	KC	CB	0.080247
2046	Marcus	Trufant	Sea	CB	0.083333
1578	Carlos	Rogers	Was	CB	0.083969
1942	Aqib	Talib	TB	CB	0.087591
3004	Kyle	Arrington	NE	CB	0.087719
1220	Terence	Newman	Dal	CB	0.089286
1478	Glover	Quin	Hou	CB	0.092593
3061	Nnamdi	Asomugha	GB	CB	0.096552
989	Walter	McFadden	Chi	CB	0.098361
1574	Dominique	Rodgers-Cromartie	Ari	CB	0.100000
371	Chris	Houston	Sea	CB	0.100000
1452	Jerraud	Powers	Ind	CB	0.100671
3534	Richard	Sherman	Cin	CB	0.104167
2200	Corey	Webster	NYG	CB	0.104348
3529	Sterling	Moore	NYG	CB	0.106870

[drumr]

Man this is fantastic I can't wait to dig more into it. I knew Finnigan was a high level DB. Might have to refer back to this for some future deals. Maxwell in the top deflected category, too. This was fun. Hope we get more from the STATCENTER!

[Rouse]

Great work Noah!

[drumr]

Jacksonville's secondary is legend lol.

[NOppenheimer]

I'm sure Glover Quinn just had an off year, but it's crazy to think he's making $7 million to have 3/4 of the passes thrown his way result in completions.

[Cleasby]

Barber proving his worth here

[unbbmas]

Great analysis, the question is ,what happend with this numbers when Dorsey is not in the field?

[unbbmas]

Should I franchised Rashean and paid him 16 millions?

[Rizzo]

Wow great stuff! Glad to see McCourty with a high PD rate but Kyle Arrington not so much lol.

[Dennis]

Hey, our CB looks awesome bad ..
At least they had a combined 12 interceptions.

[Dylan]

This is great content. Awesome job!

[NOppenheimer]

Sam Williams, who recently signed with Denver, is coming off a monster season efficiency-wise. He was the only player in 2011 to have more sacks per play than Glenn Dorsey. This is likely just due to a small sample size but it is interesting to consider. Cincinnati's Tank Johnson, Philadelphia's Derrick Burgess, Miami's Ronald Fields, and Baltimore's Brandon McKinney all are other players who didn't see the field that much but all made an impact when they did.

Code: Select all

	FirstName LastName	Team	Pos	Sacks/play	Sacks	Plays
2332	Sam	Williams	Cle	DE	0.016216	3	185
2944	Glenn	Dorsey		Jax	DE	0.014815	16	1080
3569	Danny	Trevathan	Den	LB	0.014331	9	628
556	Tank	Johnson		Cin	DT	0.012766	3	235
2302	Jamal	Williams	Den	DT	0.011484	13	1132
2516	Derrick	Burgess		Phi	DE	0.011161	5	448
373	Lamarr	Houston		Atl	DE	0.011102	13	1171
3065	Ronald	Fields		Mia	DT	0.010638	2	188
3603	Akiem	Hicks		Hou	DE	0.010373	10	964
1012	Brandon	McKinney	Bal	DT	0.010050	2	199
2526	Jared	Allen		Min	DE	0.009979	14	1403
1425	Bernard	Pollard		Hou	SS	0.009889	8	809
3597	Tyrone	Crawford	Chi	DE	0.009681	10	1033
2952	Marques	Douglas		Ten	DE	0.009574	9	940
3089	Brandon	Flowers		KC	SS	0.009554	9	942

[NOppenheimer]

This is based on data from the end of last season.

Oldest/youngest teams:

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Team	
NO	28.32
LAC	28.09
Pit	28.00
Den	27.98
Bal	27.98
Ari	27.76
Was	27.57
Det	27.47
Ten	27.33
Sea	27.32
Chi	27.31
Atl	27.31
NYJ	27.28
Ind	27.26
Dal	27.24
Cin	27.09
GB	27.06
Min	27.04
Cle	27.02
SF	26.93
Oak	26.92
Hou	26.84
NYG	26.46
Jax	26.46
Car	26.44
Buf	26.41
NE	26.35
LAR	26.31
Phi	25.80
TB	24.96
Mia	24.89
KC	24.83

Most/least experienced teams:

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Team	
NO	5.34
Pit	5.20
Bal	5.18
Den	5.06
Ari	5.00
LAC	4.87
Was	4.68
Ten	4.50
Det	4.44
NYG	4.43
Atl	4.31
Ind	4.28
Sea	4.27
Chi	4.27
SF	4.25
Oak	4.22
GB	4.16
Cin	4.13
Hou	4.12
Dal	4.10
Min	4.07
Cle	4.02
NYJ	4.00
NE	3.56
Buf	3.56
Jax	3.54
Car	3.53
LAR	3.20
Phi	3.14
TB	2.59
Mia	2.13
KC	2.11

Heaviest/Lightest Offensive Lines:

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Team	
Car	331.57
Pit	323.89
Phi	318.90
Mia	315.40
Was	314.75
Dal	314.75
Ari	314.29
LAR	314.00
Atl	313.20
SF	312.38
Cin	312.38
TB	311.40
Den	311.29
NO	308.90
GB	308.80
LAC	308.78
NYJ	308.20
Chi	307.70
Min	307.21
Oak	306.90
Det	306.11
KC	305.78
Ten	304.70
Jax	304.33
Sea	303.82
NE	303.67
Ind	303.10
Hou	302.00
Buf	300.80
Cle	300.10
NYG	296.00
Bal	293.12

Defensive Lines:

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Team	
Den	317.20
Was	304.86
NYJ	304.78
Pit	302.86
Bal	301.14
Chi	296.17
LAC	296.00
Atl	294.14
Det	293.50
Hou	292.09
Min	291.29
GB	291.14
Cin	289.57
Ari	288.38
Jax	288.00
NO	287.88
NYG	287.11
NE	287.00
Cle	286.38
LAR	284.75
Mia	283.50
Dal	283.22
Oak	281.75
TB	280.00
Ind	279.80
SF	277.43
KC	276.00
Sea	275.75
Ten	275.60
Phi	274.88
Buf	271.40
Car	268.75

[KW]

Fattest Oline and skinniest Dline lol

guess that's what happens when your two DEs are medium sized linebackers. We've fixed that issue at least.

Our starting five on the OL this year will average 346.6 as of right now

[bioeagle]

We are right in the middle for all categories...

[NOppenheimer]

Hi guys. Today I wasted some time and finally figured out how to mine the html for stats. With that being said, I made a ranking that is based on a teams' average pass/run per play as well as what their defense holds their opponent to. However, every game is adjusted based on how strong their opponent is. So, if you run for 5 yards per carry and your opponent runs for 4 on average, you would get a point, but if you throw for 6 yards per pass and your opponent usually holds teams to 7, you would get -1. I just added together the totals to create the ranking, but it is also possible to standartdize these based on standard deviations so being really good/bad at one thing doesn't help/hurt you as much. Here are the rankings through week 8:



Key takeaways:
Saints are far and away the best (if it isn't obvious)
Titans are a top team once accounting for their schedule.
Pretty clear top 6 at the moment with Saints, Packers, Broncos, Lions, Titans but you could argue Ravens should be in there as well.

This is obviously not an end-all-be-all or even the best way of ranking teams but I just thought it would be interesting and shed some light when we consider some teams have vastly different schedules.

[Rouse]

Great job Noah! Anytime the stat puts me in first feel free to post it

[NOppenheimer]

Now that I think about it, this should definitely be adjusted by how many games a team has played...I will do that in a bit