Tony Romo and High Variance QBs

It's too bad we won't get to watch Tony Romo play for the N.F.C. East championship Sunday Night due to injury, because he always seems to add drama to a game. Just look at his last two starts. In week 15 he helped blow a 23-point halftime lead with a -0.13 Win Probability Added (WPA) performance, but in week 16 he threw the game-winning TD pass in the final seconds and put up a +0.64 WPA performance to keep his team's playoff alive.

Romo has a reputation as a choker, mostly due to his team's late-season under-performance. But taken as a whole, his numbers are very "clutch." He has ranked 8th, 5th, 6th, 3rd and 12th in QB WPA over his last 5 (non-injury seasons). I don't buy the choker label, but I do buy the notion that he's a gambler and an improviser, which can cause wide swings in his game-to-game WPA numbers. So I thought I'd pull the stats and investigate how Romo compares in terms of his game-wise variance.

Variance measures how wildly a stat changes. In this analysis, I measured the variance of week-to-week WPA. If a player has lots of heroic games and lots of calamitous games, his WPA variance will be high. If a player is relatively consistent from week-to-week, regardless if he is consistently good or consistently bad, his WPA variance will be low.

For those who are unfamiliar, variance is an average of the squared deviation from each player's mean WPA. For statistical sticklers out there, I used variance of a population rather than variance of a sample--otherwise players with relatively few starts would have a slightly inflated result.

This season, Romo ranks only 14th in game-to-game WPA variance out of the 41 QBs with 200 or more qualifying plays. He's also 14th over the past 5 seasons. If we go back to 1999, the earliest year of my data, he ranks 9th out of the 101 QBs with 800 or more qualifying plays. His early career was apparently very boom-and-bust.

Here are a three tables of QB WPA variance. The first is for the 2013 season through week 16. The second is for the last five seasons. And the third for the period 1999-2013.




2013 Quarterback WPA Variance (min 200 plays)

RankQuarterbackWPA Var.Play Count
110-M.Flynn0.196214
217-P.Rivers0.180609
34-R.Fitzpatrick0.156408
47-M.Vick0.152203
516-M.Cassel0.144254
610-J.Locker0.144233
77-G.Smith0.133548
817-J.Campbell0.130313
97-C.Kaepernick0.128543
1010-R.Griffin0.128610
119-M.Stafford0.127689
1217-R.Tannehill0.125663
131-C.Newton0.120615
149-T.Romo0.118628
1518-P.Manning0.117724
162-M.Ryan0.115702
175-J.Flacco0.112677
1814-A.Dalton0.105663
1912-J.McCown0.102265
207-C.Keenum0.095294
219-N.Foles0.093393
222-T.Pryor0.085361
236-J.Cutler0.082395
243-E.Manuel0.082418
253-C.Palmer0.079632
2612-T.Brady0.071713
278-M.Glennon0.070476
2811-A.Smith0.068665
2912-A.Luck0.066671
307-B.Roethlisberger0.065644
319-D.Brees0.056738
328-M.Schaub0.053364
3312-A.Rodgers0.051317
348-S.Bradford0.043306
353-R.Wilson0.036557
367-C.Ponder0.036311
3710-K.Clemens0.030270
3810-E.Manning0.030621
397-C.Henne0.025546
403-B.Weeden0.021326
4114-M.McGloin0.020243


2009-2013 Quarterback WPA Variance (min 400 plays)

RankQuarterbackWPA Var.Play Count
19-M.Stafford0.1602871
24-R.Fitzpatrick0.156408
39-D.Garrard0.1531150
46-M.Sanchez0.1432433
57-G.Smith0.133548
69-N.Foles0.133712
73-R.Wilson0.1321166
813-K.Warner0.126654
910-M.Flynn0.123404
105-J.Flacco0.1223556
116-J.Cutler0.1212580
124-B.Favre0.1211129
1317-P.Rivers0.1193193
149-T.Romo0.1183019
1510-R.Griffin0.1121213
167-B.Roethlisberger0.1033076
179-D.Brees0.1033836
188-K.Orton0.1011513
192-M.Ryan0.0993483
2010-J.Locker0.096720
2110-E.Manning0.0933345
228-S.Bradford0.0932047
2314-A.Dalton0.0911989
244-K.Kolb0.090904
253-B.Weeden0.088920
2617-R.Tannehill0.0881270
2712-A.Luck0.0881517
2814-Sh.Hill0.085492
298-M.Schaub0.0852756
303-E.Manuel0.082418
311-C.Newton0.0812022
328-R.Grossman0.081661
338-J.Campbell0.079650
347-M.Cassel0.0791881
357-C.Kaepernick0.079982
369-C.Palmer0.0771276
3715-T.Tebow0.077701
385-D.McNabb0.0771358
3918-P.Manning0.0762979
4017-J.Campbell0.075936
4114-R.Fitzpatrick0.0752108
427-C.Henne0.0752165
4311-A.Smith0.0732471
445-J.Freeman0.0732307
458-M.Moore0.072437
467-M.Vick0.0701839
4712-A.Rodgers0.0703331
488-M.Glennon0.070476
4911-B.Gabbert0.062988
5019-J.Skelton0.058722
5112-C.McCoy0.057905
5212-T.Brady0.0573735
537-C.Ponder0.0561281
543-C.Palmer0.0551663
553-D.Anderson0.055602
5610-V.Young0.055541
5717-J.Delhomme0.055586
588-M.Hasselbeck0.0512034
595-K.Collins0.040673
603-J.Kitna0.039403
617-T.Jackson0.026657


1999-2013 Quarterback WPA Variance (min 800 plays)

RankQuarterbackWPA Var.Play Count
17-S.Beuerlein0.1791282
211-D.Bledsoe0.1654139
39-M.Stafford0.1602871
46-M.Sanchez0.1432433
53-R.Wilson0.1321166
613-K.Warner0.1275233
72-T.Couch0.1252145
84-B.Favre0.1237817
99-T.Romo0.1214727
106-J.Cutler0.1214050
1118-E.Grbac0.1201824
129-D.Garrard0.1203063
1312-T.Banks0.1201380
145-J.Flacco0.1144198
152-A.Brooks0.1123849
1610-R.Griffin0.1121213
178-J.Kitna0.1121554
1811-D.Culpepper0.1103984
1912-R.Gannon0.1083279
203-D.Anderson0.1081687
213-J.George0.107800
2217-P.Rivers0.1055106
2310-T.Green0.1053846
2410-M.Bulger0.1023875
257-J.Kitna0.1011166
269-D.Brees0.1018225
279-C.Palmer0.1013807
288-K.Orton0.1011513
299-S.McNair0.1014606
309-J.Fiedler0.1002148
3114-B.Griese0.1002603
3210-E.Manning0.0996284
337-B.Roethlisberger0.0975830
348-T.Maddox0.0961486
355-D.McNabb0.0947469
3616-J.Plummer0.0944537
372-M.Ryan0.0944065
388-S.Bradford0.0932047
3916-M.Cassel0.092982
408-M.Schaub0.0913811
4114-A.Dalton0.0911989
4210-K.Holcomb0.090939
4314-B.Johnson0.0904293
443-J.Kitna0.0902447
455-K.Collins0.0905778
468-M.Brunell0.0893677
473-B.Weeden0.088920
4817-R.Tannehill0.0881270
4912-A.Luck0.0881517
5015-J.Miller0.0861118
517-M.Vick0.0864583
5218-K.Orton0.0861099
5317-J.Delhomme0.0853641
545-J.Garcia0.0853606
5510-C.Pennington0.0843208
568-T.Aikman0.084867
577-J.Losman0.0831205
587-J.Garcia0.0821203
5910-S.King0.082974
6018-P.Manning0.0829795
611-C.Newton0.0812022
6212-G.Frerotte0.0811588
637-K.Boller0.0791418
6417-J.Campbell0.0792302
657-M.Cassel0.0791881
667-C.Kaepernick0.079982
6712-J.McCown0.0781644
6816-V.Testaverde0.0782497
697-D.Flutie0.0771817
707-B.Leftwich0.0771818
7112-T.Brady0.0778786
7211-R.Johnson0.076939
7317-Q.Carter0.0761281
7414-R.Fitzpatrick0.0752108
7511-A.Smith0.0753501
767-C.Henne0.0742178
775-J.Freeman0.0732307
784-K.Kolb0.072959
798-R.Grossman0.0701936
8012-A.Rodgers0.0704074
818-M.Hasselbeck0.0696525
828-B.Griese0.069850
8311-D.Huard0.0691201
842-A.Wright0.068830
853-J.Harrington0.0672525
8610-V.Young0.0651638
8711-J.Blake0.064888
885-T.Edwards0.0641124
8911-B.Gabbert0.062988
908-D.Carr0.0613004
9110-K.Stewart0.0582094
9212-C.McCoy0.057905
937-T.Jackson0.0571386
9410-C.Batch0.0571285
9516-C.Weinke0.057836
9611-P.Ramsey0.0561112
977-C.Ponder0.0561281
983-C.Palmer0.0551663
9912-C.Chandler0.0541739
10013-T.Rattay0.054830
1012-J.Russell0.051840

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5 Responses to “Tony Romo and High Variance QBs”

  1. Matt says:

    I'd be very interested in like a per-play variance for EPA and AYA for quarterbacks. Specifically for Cutler and McCown, I got into an argument with a Bears fan that McCown's performance this year very likely indicated that he was actually a better quarterback than Cutler but couldn't back it up because I didn't have any variance information.

  2. Anonymous says:

    Not only did JaMarcus Russell suck, he apparently sucked with amazing consistency.

  3. Anonymous says:

    So, for the period from 2009-2013, when Ryan Fitzpatrick took the "1" off his jersey, he became much less consistent (which in his case is probably actually a good thing)?

    I'm not sure any useful conclusions can be drawn from this data.

  4. Taylor says:
    This comment has been removed by the author.
  5. Anonymous says:

    doesn't success count measure EPA variance, somewhat? why don't you just publish that, or coefficient of variation as a stat. that'd be awesome.

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