Computer Rating System Prediction Results for College Football (NCAA IA)

2011 Season Totals

Through 2012-01-10
Rank System Pct. Correct Against Spread Absolute Error Bias Mean Square Error games suw sul atsw atsl
1Covers.com0.738460.5317012.5168-0.8890251.875715528187369325
2Tempo Free Gridiron0.738460.5139513.0923-2.2559275.028715528187350331
3Dunkel Index0.738100.5552412.3190-0.1385244.870714527187392314
4Line (opening)0.734270.5175712.1308-0.4231232.140715525190324302
5Sagarin0.734270.5063612.6964-0.8040254.763715525190358349
6Dokter Entropy0.732870.4758512.4210-0.0919239.776715524191335369
7System Average0.732870.4893912.2337-0.6421235.493715524191346361
8Line (updated)0.7328712.0147-0.1909226.860715524191
9Computer Adjusted Line0.732870.5137612.0133-0.2566226.512715524191112106
10Hank Trexler0.732490.4992512.5098-2.1961248.787714523191335336
11Compughter Ratings0.731490.4632413.0045-1.1448257.441689504185315365
12Ashby AccuRatings0.731470.5188012.3007-0.8317236.688715523192345320
13System Median0.731470.5079112.1874-0.6284234.246715523192353342
14Howell0.731470.5044112.6706-0.9083252.541715523192343337
15Catherwood Ratings0.731470.4792912.59300.3329249.407715523192324352
16DP Dwiggins0.730880.4888213.0247-3.6504266.116680497183328343
17Moore Power Ratings0.730070.5205112.3958-0.6944249.083715522193368339
18Stat Fox0.730070.4791712.55950.4814248.750715522193322350
19NutShell Combo0.728890.4955113.0385-0.7936269.740675492183331337
20NutShell Sports0.728670.5248213.7991-0.2042306.605715521194370335
21Edward Kambour0.728670.5014212.6830-0.3835254.024715521194354352
22Pigskin Index0.727270.5067712.2895-0.7927238.076715520195337328
23NationalSportsRankings0.726980.4984012.3852-0.5440242.210630458172311313
24Pi-Rate Ratings0.726890.5200012.5895-0.0388251.853714519195364336
25Betgrinders.com0.726370.5292112.2997-0.5388231.751603438165308274
26Stephen Kerns0.724490.4449413.5052-0.7895278.254686497189299373
27CPA Rankings0.724480.4815913.1876-0.0608266.174715518197340366
28Super List0.724480.4964614.16290.1096312.194715518197351356
29Regression-Based Analys0.724480.5128213.00840.4182268.664715518197340323
30Laffaye RWP0.723080.4823214.1403-3.9006317.591715517198341366
31Sagarin Predictive0.723080.4752512.6601-0.7101249.436715517198336371
32Born Power Index0.723080.5155812.7746-0.6030258.575715517198364342
33Laz Index0.723080.4631712.6641-1.0618250.244715517198327379
34Marsee0.722690.4971013.31651.0084277.860714516198343347
35Brent Craig0.722690.5056712.4026-0.0460248.306714516198357349
36ARGH Power Ratings0.721290.5066512.4800-0.5249248.054714515199343334
37Massey Consensus0.718880.4900812.9129-0.3880262.139715514201346360
38Dave Congrove0.717480.5318212.4172-1.0654243.885715513202376331
39Warren Claassen0.717480.4908113.4227-1.3066283.242715513202347360
40Sagarin Elo0.716080.5120613.3773-0.8807285.917715512203361344
41Nutshell Girl0.714690.4936413.7934-1.4808300.910715511204349358
42Laffaye XWP0.714690.4900313.6109-2.7770295.344715511204344358
43Beck Elo0.714690.4886712.8294-0.5951261.478715511204345361
44PerformanZ Ratings0.713290.4943313.6267-0.6644285.611715510205349357
45Billingsley+0.713290.4936412.6477-0.7910249.902715510205349358
46Atomic Football0.711890.5049512.3180-0.4774238.527715509206357350
47Payne Power Ratings0.711890.4639313.1180-0.1259265.730715509206328379
48Keeper0.711890.5007113.39800.5547282.987715509206351350
49Lee Burdorf0.710490.4985812.8484-0.6791261.331715508207351353
50Bassett Model0.709770.4809713.26660.2193270.110665472193316341
51Billingsley0.709090.5155813.1573-0.7332276.873715507208364342
52Massey Ratings0.709090.4787512.6193-0.3081249.940715507208338368
53Bias Free Rankings0.707120.4933012.9153-1.5560256.136379268111184189
54Sportrends0.705970.5059013.4091-0.9134286.859704497207343335
55Schmidt Comp. Ratings0.705410.4943613.0182-0.7282265.886628443185307314
56Colley Rankings *0.705260.5253312.9895-1.3711268.107380268112197178
57Anderson/Hester *0.705260.5226712.9407-1.3138268.741380268112196179
58Martien Maas0.705260.5333316.5842-0.6973431.091380268112200175
59Bihl System0.704920.5035612.5864-0.4074246.008427301126212209
60football.loudsound.org0.704350.5015413.4145-5.0261284.157345243102163162
61Massey *0.700000.5306713.0379-1.0785275.920380266114199176
62Wolfe *0.700000.5120013.2549-0.8268281.214380266114192183
63Logistic Regression0.697370.5253314.8958-4.5280371.237380265115197178
64Linear Regression0.697370.4906712.9274-0.9330258.805380265115184191
65CPA Retro0.695100.5091913.6356-0.2707294.315715497218360347
66Pointshare Ratings0.693630.5017513.85221.0425303.568581403178286284
67CF By the Numbers0.682130.4926213.07040.0258261.782582397185267275
68Least Squares w/ HFA0.673680.5200015.4754-0.2857388.178380256124195180
69TW Rankings0.000000.0000025.0000-25.0000625.00010101

* This system does not make predictions.  I make predictions for this
  system by translating it to a new scale that allows for making predictions.



Retrodictive records are found by taking the ratings from the current week
and applying them to the entire season to date.

The ideal system would be one that has the highest correct game decisions,
has the smallest mean error(deviation from the actual game result), and has
a bias of zero.

Mean Error = average[abs(prediction-actual)]

      Bias = agerage(prediction - actual)

      Std. = Standard Deviation of individual game biases