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Adjusting team sack rates in the NFL for SOS

I’ve got sacks on the mind today. A few hours ago, I looked at the single-season sack records by various players in both the 3-4 and 4-3. Today I also want to look at things from the team perspective. In 2012, which team is the best at getting to the quarterback? You might think that’s as simple as looking at a list of defensive statistics and sorting by sacks, but I’d like to take a more nuanced approach.

There are two factors that heavily impact a team’s sack rate: the opponents they face and the number of passing plays they defend. Using sack rate instead of sacks helps to solve the latter issue, but we still need an opponent adjustment even if we use sack rate. It’s a bit tricky doing it correctly, because you need to iterate the results just like you do with the SRS. What I mean by that is the sack rate of the Denver defense will need to be adjusted for the sack rate of the Kansas City, Oakland, and San Diego offenses (among other teams), and those will need to be adjusted for the Denver defense (and all the other defenses those teams faced).

Once you properly iterate the results, what are the results? The table below shows the top defenses this year at getting to the quarterback, although note that these numbers exclude the games from week 15. The table shows how many pass attempts each team has faced, the number of actual sacks they have recorded and their actual sack rate; the next column shows the SOS adjustment to the sack rate, with a positive number indicating a difficult strength of schedule (i.e., they’ve faced teams that are difficult to sack). The last two columns show the SOS-adjusted sack rates and total sacks.

RkTeamATTACT SKSK RTSOSADJ SK RTADJ SK
1DEN506397.7%0.9%8.6%43.3
2CIN542437.9%0.5%8.4%45.7
3ARI426348%-0.5%7.4%31.7
4DAL429296.8%0.3%7.1%30.4
5CAR483306.2%0.9%7.1%34.2
6KAN389246.2%0.9%7.1%27.5
7STL489398%-1.2%6.8%33.1
8PHI467286%0.8%6.8%31.6
9HOU533376.9%-0.2%6.7%35.9
10MIA532377%-0.2%6.7%35.7
11GNB524356.7%-0.1%6.6%34.6
12BAL506305.9%0.6%6.6%33.3
13CLE531346.4%0.2%6.6%34.8
14NYG464316.7%-0.1%6.5%30.4
15SFO478326.7%-0.4%6.3%30.3
16PIT434266%0.3%6.3%27.4
17ATL463286%0.3%6.3%29.2
18BUF484316.4%-0.2%6.2%30.2
19CHI498336.6%-0.5%6.1%30.6
20SDG508254.9%1%5.9%30
21TEN481275.6%0.3%5.9%28.3
22SEA475326.7%-1.1%5.7%27
23NWE511285.5%-0.1%5.3%27.3
24NOR496255%0.2%5.3%26.1
25MIN515316%-0.8%5.2%27
26DET490306.1%-1.1%5%24.4
27WAS539234.3%0.7%4.9%26.6
28TAM541244.4%0.5%4.9%26.5
29NYJ446224.9%-0.1%4.8%21.5
30IND470245.1%-0.4%4.7%22.3
31OAK465173.7%0.7%4.3%20.1
32JAX464143%0%3%14

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{ 3 comments }

Trivia of the Day – Sunday, December 16th

Manning finds the last empty spot on his trophy case.

What do you give to the man who already has everything? How about a Comeback Player of the Year Award?

Right now, the choice for AP Comeback Player of the Year is a two-horse race between Peyton Manning and Adrian Peterson. If Manning wins the award, it will put him in pretty rare territory: he’d be just the fourth player to, over the course of a career, be named by the Associated Press as the Most Valuable Player of the Year, Comeback Player of the Year, and Super Bowl MVP. Can you name the first three?

Below is one hint for each of the three players who have won all three awards.

Trivia hint for Player 1 Show


Click 'Show' for the Answer for Player 1 Show

Trivia hint for Player 2 Show


Click 'Show' for the Answer for Player 2 Show

Trivia hint for Player 3 Show


Click 'Show' for the Answer for Player 3 Show

{ 5 comments }

The original standard for postseason success.

On Wednesday, I explained the methodology for grading each quarterback in each season. Yesterday, I came up with an all-time career list of the best quarterbacks based on their regular season play. Today, a look at playoff performances.

Using the same formula, we can grade each quarterback in each game and adjust for era [1]Note that I do not have individual playoff sack data prior to 2008, so I am using pro-rated sack numbers based on team sack data.. However, it should be obvious that the sample sizes here are incredibly small, and the stats are even less likely to tell the true story when looking at just one game. Strength of schedule becomes a significant factor here, as well. But, caveats aside, there’s a lot we can do with playoff data. For example, we can rank every quarterback performance in Super Bowl history:

RkQBTmOppSBW/LAttPydTDINTCYCYPVAL
1Joe MontanaSFOMIA19W353313040611272
2Steve YoungSFOSDG29W363256043111.1264
3Troy AikmanDALBUF27W302734038112.3258
4Joe MontanaSFODEN24W292975039713.3256
5Kurt WarnerSTLTEN34W45414204479.7225
6Jim PlunkettOAKPHI15W212613032014.5219
7Phil SimmsNYGDEN21W252683032312.4216
8Doug WilliamsWASDEN22W293404135811.6211
9John ElwayDENATL33W293361133111181
10Jim McMahonCHINWE20W202560028411.6174
11Joe MontanaSFOCIN23W36357203519165
12Jake DelhommeCARNWE38L33323303258.8146
13Tom BradyNWECAR38W48354313697.7141
14Terry BradshawPITDAL13W30318412667.8140
15Mark RypienWASBUF26W33292212878.7128
16Terry BradshawPITRAM14W213092321410.2123
17Bart StarrGNBKAN1W23250212248.7121
18Terry BradshawPITDAL10W19209202009.5121
19Aaron RodgersGNBPIT45W39304303488.3118
20Brett FavreGNBNWE31W27246202688.1111
21Drew BreesNORIND44W39288203218107
22Ken StablerOAKMIN11W19180101838.7103
23Troy AikmanDALPIT30W23209102188.791
24Kurt WarnerARIPIT43L43377313297.387
25John ElwayDENNYG21L37304112706.581
26Bart StarrGNBOAK2W24202101826.579
27Joe MontanaSFOCIN16W22157101887.876
28Tom BradyNWEPHI39W33236202597.475
29Joe NamathNYJBAL3W28206001956.568
30Peyton ManningINDNOR44L45333113086.867
31Ken AndersonCINSFO16L34300222546.467
32Jeff HostetlerNYGBUF25W32222102346.966
33Bob LeeMINOAK11L9811010010.965
34Roger StaubachDALMIA6W19119201406.763
35Steve McNairTENSTL34L36214002085.661
36Eli ManningNYGNWE46W4029610302761
37Terry BradshawPITMIN9W1496101046.559
38Kurt WarnerSTLNWE36L4436512287655
39Roger StaubachDALPIT13L30228311614.653
40Jim KellyBUFNYG25L30212002056.652
41Jim PlunkettRAIWAS18W25172101746.448
42Roger StaubachDALDEN12W25183101424.845
43Brad JohnsonTAMOAK37W34215212106.245
44Earl MorrallBALDAL5W15147011026.843
45Ben RoethlisbergerPITARI43W30256112096.537
46Bob GrieseMIAMIN8W77300637.934
47Brett FavreGNBDEN32L42256312405.634
48Daryle LamonicaOAKGNB2L34208211814.932
49Fran TarkentonMINMIA8L28182011414.531
50Gary KubiakDENNYG21L448004510.225
51Troy AikmanDALBUF28W27207011595.521
52Tom BradyNWENYG46L41276212616.120
53Len DawsonKANGNB1L27211111354.219
54Trent DilferBALNYG35W25153101545.517
55Tom BradyNWESTL36W27145101545.314
56Len DawsonKANMIN4W1714211974.910
57Gary KubiakDENSFO24L32800256.87
58Frank ReichBUFWAS26L11100109.45
59Steve YoungSFODEN24W32000206.55
60Vince FerragamoRAMPIT14L25212011274.44
61Danny WhiteDALDEN12W250031.14
62Matt HasselbeckSEAPIT40L49273112344.53
63Ben RoethlisbergerPITGNB45L40263222115.12
64Bill MusgraveSFOSDG29W160065.20
65Fran TarkentonMINOAK11L35205121323.7-4
66Babe ParilliNYJBAL3W10000-0.4-5
67Zeke BratkowskiGNBKAN1W1000-1-0.8-5
68Jay SchroederWASDEN22W1000-1-0.6-6
69Pete BeathardKANGNB1L5170071.3-6
70Tony BanksBALNYG35W1000-1-0.7-6
71Eli ManningNYGNWE42W34255211824.9-8
72Bob GrieseMIAWAS7W118811443.4-8
73Peyton ManningINDCHI41W38247111844.7-10
74John ElwayDENGNB32W2212301984.3-12
75Don StrockMIAWAS17L3000-3-0.9-17
76Steve FullerCHINWE20W4000-3-0.6-23
77Ron JaworskiPHIOAK15L38291131463.8-28
78Joe TheismannWASMIA17W2314322742.8-33
79Dan MarinoMIASFO19L50318122194.1-33
80Elvis GrbacSFOSDG29W1000-30-28.2-36
81Johnny UnitasBALNYJ3L2411001652.7-37
82David WoodleyMIAWAS17L149711281.9-37
83Donovan McNabbPHINWE39L51357332494.5-40
84Norris WeeseDENDAL12L102200-18-1.6-42
85Gale GilbertSDGSFO29L63001-17-2.7-44
86Gary CuozzoMINKAN4L31601-32-9.6-46
87Johnny UnitasBALDAL5W98812-12-1.3-47
88Tom BradyNWENYG42L48266102194.1-53
89Bob GrieseMIADAL6L2313401301.3-58
90Boomer EsiasonCINSFO23L2514401782.6-65
91Jim KellyBUFDAL28L50260011823.4-66
92Stan HumphriesSDGSFO29L49275121893.7-67
93Ben RoethlisbergerPITSEA40W2112302452-67
94Tony EasonNWECHI20L6000-40-5.6-72
95Roger StaubachDALPIT10L2420423371.2-78
96Chris ChandlerATLDEN33L3521913912.5-79
97Joe KappMINKAN4L2518302391.4-81
98John ElwayDENWAS22L3825713932.2-90
99Rex GrossmanCHIIND41L2816512541.9-90
100Steve GroganNWECHI20L3017712561.6-105
101Jim KellyBUFDAL27L78202-72-9.3-107
102Joe TheismannWASRAI18L3524302731.8-112
103Craig MortonDALBAL5L2612713-2-0.1-112
104Fran TarkentonMINPIT9L2610203-33-1.3-127
105Earl MorrallBALNYJ3L177103-64-3.8-136
106Frank ReichBUFDAL27L3119412160.5-137
107Neil O'DonnellPITDAL30L49239131222.3-147
108Billy KilmerWASMIA7L2810403-48-1.6-159
109Drew BledsoeNWEGNB31L4825324741.4-178
110John ElwayDENSFO24L2610802-22-0.7-182
111Rich GannonOAKTAM37L4427225350.7-212
112Craig MortonDENDAL12L153904-157-9-214
113Jim KellyBUFWAS26L5827524300.5-269
114Kerry CollinsNYGBAL35L3911204-124-2.9-335

If you type Montana’s name into the search box, you can see that he has the 1st, 4th, 11th and 27th best performance in Super Bowl history. The best performance in a losing effort goes to Jake Delhomme, who shredded the Patriots secondary in the second half of Super Bowl XXXVIII (he began the game 1 for 9 for 1 yard). The worst performance in a winning effort, unsurprisingly, goes to Ben Roethlisberger in Super Bowl XL, although Joe Theismann against the Dolphins gets an honorable mention. Worst performance overall goes to Kerry Collins, although Craig Morton’s 4 interceptions and 39 yards on 15 attempts against his former team in Super Bowl XII could give Collins a run for his money.

What about best championship game performances in the pre-Super Bowl era?

RkQBTmOppYearW/LAttPydTDINTCYCYPVAL
1Tobin RoteDETCLE1957W192804038019304
2Sid LuckmanCHIWAS1943W262865038614.8248
3Otto GrahamCLERAM1950W33298412927.7236
4Sammy BaughWASCHI1937W33335313209.7228
5Harry NewmanNYGCHI1933L192092120410.7197
6Charlie ConerlyNYGCHI1956W101952023222.1192
7Bart StarrGNBNYG1961W171643022413.2152
8Otto GrahamCLEDET1954W121633219312.9135
9Frank RyanCLEBAL1964W182063121211.2132
10Norm Van BrocklinRAMCLE1951W61281014824.7129
11Tobin RoteSDGBOS1963W151732022613.1127
12Sid LuckmanCHINYG1941W121600016013.3125
13George BlandaHOULAC1960W313013036111.6123
14Charlie ConerlyNYGBAL1958W141871019011.6122
15Arnie HerberGNBNYG1938L141231014310.2117
16Johnny UnitasBALNYG1959W29264202677.4115
17Charlie O'RourkeCHIWAS1942L71280012818.3105

[continue reading…]

References

References
1 Note that I do not have individual playoff sack data prior to 2008, so I am using pro-rated sack numbers based on team sack data.
{ 8 comments }

Yesterday, I explained the methodology behind the formula involved in ranking every quarterback season in football history. Today, I’m going to present the career results. Converting season value to career value isn’t as simple as it might seem. Generally, we don’t want a player who was very good for 12 years to rank ahead of a quarterback who was elite for ten. Additionally, we don’t want to give significant penalties to players who struggled as rookies or hung around too long; we’re mostly concerned with the peak value of the player.

What I’ve historically done — and done here — is to give each quarterback 100% of his value or score from his best season, 95% of his score in his second best season, 90% of his score in his third best season, and so on. This rewards quarterbacks who played really well for a long time and doesn’t kill players with really poor rookie years or seasons late in their career. It also helps to prevent the quarterbacks who were compilers from dominating the top of the list. The table below shows the top 150 regular season QBs in NFL history using that formula, along with the first and last years of their careers, their number of career attempts (including sacks and rushing touchdowns), and their career records and winning percentages (each since 1950). For visibility reasons, I’ve shown the top 30 quarterbacks below, but you can change that number in the filter or click on the right arrow to see the remaining quarterbacks.
[continue reading…]

{ 21 comments }

In 2006, I took a stab at ranking every quarterback in NFL history. Two years later, I acquired more data and made enough improvements to merit publishing an updated and more accurate list of the best quarterbacks the league has ever seen. In 2009, I tweaked the formula again, and published a set of career rankings, along with a set of strength of schedule, era and weather adjustments, and finally career rankings which include those adjustments and playoff performances.

If nothing else, that was three years ago, so the series was due for an update. I’ve also acquired more data, enabling me to tweak the formula to better reflect player performance. But let’s start today with an explanation of the methodology I’m using. To rank a group of players, you need to decide which metric you’re ordering the list by. I’ll get to all of the criteria I’m not using in a little bit, but the formula does use each of the following: pass attempts, passing touchdowns, passing yards, interceptions, sacks, sack yards lost, fumbles, fumbles recovered, rush attempts, rushing yards and rushing touchdowns. Most importantly, the formula is adjusted for era and league.

Two of the best quarterbacks ever.

So where do we begin? We start with plain old yards per attempt. I then incorporate sack data by removing sack yards from the numerator and adding sacks to the denominator [1]I have individual sack data for every quarterback since 1969. For seasons before then, I have team sack data going back to 1949. For seasons before 1950, I ignored sacks; for seasons between 1950 … Continue reading. To include touchdowns and pass attempts, I gave a quarterback 20 yards for each passing touchdown and subtracted 45 yards for each interception. This calculation — (Pass Yards + 20 * PTD – 45 * INT – Sack Yards Lost) / (Sacks + Pass Attempts) forms the basis for Adjusted Net Yards per Attempt, one of the key metrics I use to evaluate quarterbacks.

For purposes of this study, I did some further tweaking. I’m including rushing touchdowns, because our goal is to measure quarterbacks as players. There’s no reason to separate rushing and passing touchdowns from a value standpoint, so all passing and rushing touchdowns are worth 20 yards and are calculated in the numerator of Adjusted Net Yards per Attempt. To be consistent, I also include rushing touchdowns in the denominator of the equation. This won’t change anything for most quarterbacks, but feels right to me. A touchdown is a touchdown.
[continue reading…]

References

References
1 I have individual sack data for every quarterback since 1969. For seasons before then, I have team sack data going back to 1949. For seasons before 1950, I ignored sacks; for seasons between 1950 and 1969, I gave each quarterback an approximate number of sacks, giving him the pro-rated portion of sacks allowed by the percentage of pass attempts he threw for the team. While imperfect, I thought this “fix” to be better than to ignore the data completely, especially for years where one quarterback was responsible for the vast majority of his team’s pass attempts.
{ 13 comments }

Let’s start with some trivia before moving to today’s post:

  • Only two quarterback-receiver pairs have ever topped the 10,000 yard mark. Can you name them?
    Hint: Show
  • Only two receivers (minimum: 7,000 yards) gained at least 93% of their career receiving yards from one quarterback. Do you know who they are?
    Hint: Show
  • Two of the men in the top ten in career receiving yards can credit the same quarterback account for more of their yards than any other passer. Can you name that quarterback?
    Hint Show
  • Can you name the receiver who gained over 10,000 yards in his career, but the quarterback from whom he gained the most yards was… Quincy Carter?
    Hint Show
  • Among the top twenty-five leaders in career receiving yards, can you guess which player was the only one to fail to catch at least 20% of his yards from a single quarterback?
    Hint Show

[continue reading…]

{ 11 comments }

Quarterback wins over Pythagoras

No, this article isn’t an article about quarterbacks squaring off against ancient Greek mathematicians. Today, we’re going to look at quarterback win-loss records and see how they compare to their Pythagorean win-loss records.

Over 30 years ago, Bill James wrote that, on average, baseball teams’ true strengths could be measured more accurately by looking at runs scored and runs allowed than by looking at wins and losses. Since then, sports statisticians have applied the same thinking to all sports. The formula to calculate a team’s Pythagorean winning percentage is always some variation of:

(Points Scored^2) / (Points Scored ^2 + Points Allowed^2)

With the exponent changing from 2 to whatever number best fits the data for the particular sport. In football, that number is 2.53. We can look, for example, at the Pythagorean records for each team in the league last season, and line it up against their actual record:

YearTmRecordWin%PFPAPyth WinsDiff
2011KAN7-90.4382123383.763.24
2011GNB15-10.93856035912.082.92
2011DEN8-80.5003093905.712.29
2011OAK8-80.5003594336.141.86
2011NWE13-30.81351334211.781.22
2011NYG9-70.5633944007.851.15
2011ARI8-80.5003123486.91.1
2011TAM4-120.2502874943.230.77
2011TEN9-70.5633253178.250.75
2011NOR13-30.81354733912.330.67
2011BAL12-40.75037826611.340.66
2011ATL10-60.6254023509.390.61
2011SFO13-30.81338022912.520.48
2011CIN9-70.5633443238.640.36
2011PIT12-40.75032522711.40.6
2011MIA6-100.3753293138.5-2.5
2011MIN3-130.1883404495.3-2.3
2011PHI8-80.5003963289.87-1.87
2011CAR6-100.3754064297.44-1.44
2011SEA7-90.4383213158.19-1.19
2011IND2-140.1252434303.05-1.05
2011HOU10-60.62538127811.03-1.03
2011SDG8-80.5004063778.75-0.75
2011CLE4-120.2502183074.74-0.74
2011WAS5-110.3132883675.62-0.62
2011DAL8-80.5003693478.62-0.62
2011BUF6-100.3753724346.46-0.46
2011NYJ8-80.5003773638.38-0.38
2011CHI8-80.5003533418.35-0.35
2011STL2-140.1251934072.1-0.1
2011JAX5-110.3132433295.08-0.08
2011DET10-60.62547438710.01-0.01

[continue reading…]

{ 2 comments }

Franchise leaders — passing stats

Happy 4th of July! Before you head to your barbecue, I’d recommend you take a look at the incredible document our founders signed 236 years ago.

As far as football goes, today’s a good time for a data dump. The table below shows the career passing leaders for each franchise, organized by when the current leader last played for that team.

TeamYardsQuarterbackLast Yr
NWE39979Tom Brady
NOR28394Drew Brees
HOU16903Matt Schaub
BAL13816Joe Flacco
IND54828Peyton Manning2011
SEA29434Matt Hasselbeck2010
PHI32873Donovan McNabb2009
CAR19258Jake Delhomme2009
GNB61655Brett Favre2007
JAX25698Mark Brunell2003
DAL32942Troy Aikman2000
MIA61361Dan Marino1999
DEN51475John Elway1998
BUF35467Jim Kelly1996
TEN33685Warren Moon1993
NYG33462Phil Simms1993
STL23758Jim Everett1993
SFO35124Joe Montana1992
TAM14820Vinny Testaverde1992
SDG43040Dan Fouts1987
CIN32838Ken Anderson1986
WAS25206Joe Theismann1985
ATL23470Steve Bartkowski1985
ARI34639Jim Hart1983
PIT27989Terry Bradshaw1983
CLE23713Brian Sipe1983
OAK19078Ken Stabler1979
MIN33098Fran Tarkenton1978
NYJ27057Joe Namath1976
KAN28507Len Dawson1975
DET15710Bobby Layne1958
CHI14686Sid Luckman1950

[continue reading…]

{ 7 comments }

Largest increase in pass completions

And then John said to Peyton, 'Tim Tebow.'

Fifteen days into its infancy, Football Perspective has published fifteen posts. If you are enjoying the site, be sure to check back every day for a new post. You can also become one of the 850+ people to “like” Football Perspective on Facebook. You can also follow me on twitter. Enough of a site update: on to today’s post.

Unlike most sports writers, I don’t know a lot about what will happen this season. But there’s one thing I do know: the Denver Broncos aren’t going to rank 32nd again in pass attempts again. The Tebow Broncos, an offense with an inexperienced quarterback and a confused offensive coordinator, completed just 217 passes last season. That was the lowest in the league, and the lowest since the ’09 Jets, a team that boasted the number one rushing attack and defense in the league — and Mark Sanchez.

Setting aside those years where the league scheduled more games in the following season, the table below shows the teams with the largest increase in completions from one year (that’s the year listed in the table) to the next:

YearTmCmp NCmp N+1DifferenceQB Year NQB Year N+1HC Year NHC Year N+1
1978SFO190361171Steve DeBergSteve DeBergPete McCulley [1]In 1978, the 49ers fired McCulley after 9 games and Fred O'Connor coached the rest of the season.Bill Walsh
2000TAM237362125Shaun KingBrad JohnsonTony DungyTony Dungy
2004ARI299419120Josh McCownKurt WarnerDennis GreenDennis Green
1998CHI284404120Erik KramerShane MatthewsDave WannstedtDick Jauron
1993NWE289405116Drew BledsoeDrew BledsoeBill ParcellsBill Parcells
2000CIN207322115Akili SmithJon KitnaDick LeBeau [2]In 2000, Bruce Coslet was the Bengals coach to start the season, but he resigned after three straight blowouts to begin the year.Dick LeBeau
1957PHI99214115Bobby ThomasonNorm Van BrocklinHugh DevoreBuck Shaw
2006ATL222336114Michael VickJoey HarringtonJim MoraBobby Petrino
1983MIA254367113Dan MarinoDan MarinoDon ShulaDon Shula
1994DET250362112Dave KriegScott MitchellWayne FontesWayne Fontes
1978BAL202313111Bill TroupGreg LandryTed MarchibrodaTed Marchibroda
2008MIN267377110Gus FrerotteBrett FavreBrad ChildressBrad Childress
2008SEA262372110Seneca WallaceMatt HasselbeckMike HolmgrenJim Mora
1989HOU295399104Warren MoonWarren MoonJerry GlanvilleJack Pardee
2001SEA258361103Matt HasselbeckMatt HasselbeckMike HolmgrenMike Holmgren
1988NWE199302103Doug FlutieSteve GroganRaymond BerryRaymond Berry
1979HOU195296101Dan PastoriniKen StablerBum PhillipsBum Phillips
1996SEA26135998Rick MirerWarren MoonDennis EricksonDennis Erickson
1999PHI23533196Doug PedersonDonovan McNabbAndy ReidAndy Reid
1993MIN31540994Jim McMahonWarren MoonDennis GreenDennis Green
1985CLE22231593Bernie KosarBernie KosarMarty SchottenheimerMarty Schottenheimer
1993NOR27436692Wade WilsonJim EverettJim MoraJim Mora
1992DEN25835092John ElwayJohn ElwayDan ReevesWade Phillips
1972PHI18427591John ReavesRoman GabrielEd KhayatMike McCormack
1950GNB14023191Tobin RoteBobby ThomasonGene RonzaniGene Ronzani
2011DEN217Tim TebowPeyton ManningJohn FoxJohn Fox

[continue reading…]

References

References
1 In 1978, the 49ers fired McCulley after 9 games and Fred O'Connor coached the rest of the season.
2 In 2000, Bruce Coslet was the Bengals coach to start the season, but he resigned after three straight blowouts to begin the year.
{ 5 comments }
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