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

2011 Second Half Totals

Through 2012-01-10
Rank System Pct. Correct Against Spread Absolute Error Bias Mean Square Error games suw sul atsw atsl
1Tempo Free Gridiron0.739470.5264613.0500-3.2868274.00338028199189170
2Dunkel Index0.728950.5493312.5766-0.6602249.759380277103206169
3Ashby AccuRatings0.726320.5114312.5185-1.4494240.788380276104179171
4Laffaye RWP0.726320.5146713.7204-4.4626307.249380276104193182
5Line (updated)0.7236812.2421-0.9763234.447380275105
6NutShell Combo0.723680.4880012.9457-1.5782261.480380275105183192
7Covers.com0.721050.5244612.8658-1.8110260.285380274106193175
8Laz Index0.721050.4826712.7159-1.7421251.519380274106181194
9NationalSportsRankings0.721050.4986712.4550-1.3577239.479380274106187188
10Computer Adjusted Line0.721050.4958712.2487-1.0382234.1643802741066061
11Catherwood Ratings0.718420.4632812.9342-0.3658258.861380273107164190
12Edward Kambour0.718420.4800012.9061-1.1087254.119380273107180195
13Warren Claassen0.718420.5040012.8058-1.7948258.561380273107189186
14Sagarin Predictive0.718420.4826712.6748-1.5903250.979380273107181194
15Dokter Entropy0.718420.4557612.6212-0.7667243.336380273107170203
16Howell0.718420.5263212.5303-1.1513248.942380273107190171
17System Average0.718420.5226712.3585-1.3686240.100380273107196179
18System Median0.718420.5311712.3097-1.3227238.165380273107196173
19Super List0.715790.5146713.9920-1.1930312.525380272108193182
20NutShell Sports0.715790.5254713.4466-1.6097288.099380272108196177
21Stephen Kerns0.715790.4663113.0276-1.4044262.192380272108173198
22Schmidt Comp. Ratings0.715790.5213912.7382-1.5583257.109380272108195179
23Pigskin Index0.715790.5100312.5790-1.6208249.395380272108178171
24Moore Power Ratings0.715790.5120012.5384-1.5206246.132380272108192183
25Pi-Rate Ratings0.717680.4959612.7018-1.2613252.290379272107184187
26Regression-Based Analys0.713160.4785113.1158-0.7421264.595380271109167182
27CPA Rankings0.713160.4880012.8769-0.7553250.869380271109183192
28Stat Fox0.713160.4435012.8001-0.2313248.037380271109157197
29Line (opening)0.713160.5196412.3368-1.1132238.575380271109172159
30Marsee0.715040.5271712.64910.3588248.211379271108194174
31Dave Congrove0.710530.5066712.5505-1.4174247.731380270110190185
32Born Power Index0.707890.5080212.8746-1.4309258.254380269111190184
33Massey Consensus0.707890.5226712.8505-1.2318263.411380269111196179
34Sagarin0.707890.5360012.6382-1.6012255.308380269111201174
35Pointshare Ratings0.709760.5189212.7821-0.5161255.091379269110192178
36Hank Trexler0.709760.4985812.4960-2.8338247.968379269110176177
37Bihl System0.713530.5175212.4006-0.8664241.085377269108192179
38Martien Maas0.705260.5333316.5842-0.6973431.091380268112200175
39Colley Rankings *0.705260.5253312.9895-1.3711268.107380268112197178
40Anderson/Hester *0.705260.5226712.9407-1.3138268.741380268112196179
41Massey Ratings0.705260.5000012.6726-1.0268249.617380268112187187
42Bias Free Rankings0.707120.4933012.9153-1.5560256.136379268111184189
43Sagarin Elo0.702630.5174313.2962-1.5678284.955380267113193180
44Laffaye XWP0.702630.4905713.2048-2.9126285.210380267113182189
45Beck Elo0.702630.4880012.7144-1.2588257.107380267113183192
46Brent Craig0.702630.4826712.6972-0.7927256.881380267113181194
47Wolfe *0.700000.5120013.2549-0.8268281.214380266114192183
48Massey *0.700000.5306713.0379-1.0785275.920380266114199176
49PerformanZ Ratings0.700000.4946513.2069-1.1904272.648380266114185189
50Payne Power Ratings0.697370.4640012.9560-0.7932258.646380265115174201
51Keeper0.697370.5080613.1155-0.3640272.964380265115189183
52Logistic Regression0.697370.5253314.8958-4.5280371.237380265115197178
53Linear Regression0.697370.4906712.9274-0.9330258.805380265115184191
54Atomic Football0.697370.4880012.5323-1.0546244.373380265115183192
55ARGH Power Ratings0.699210.5303912.4769-1.0508250.428379265114192170
56Bassett Model0.694740.4586713.4253-0.2361268.709380264116172203
57Lee Burdorf0.694740.5120612.8852-1.3820259.880380264116191182
58Billingsley+0.692110.4746712.9836-1.4483259.138380263117178197
59Billingsley0.689470.5040013.0826-1.3491269.212380262118189186
60Nutshell Girl0.684210.5226713.7637-1.8425298.378380260120196179
61CPA Retro0.676320.5066713.6992-0.9582299.289380257123190185
62Least Squares w/ HFA0.673680.5200015.4754-0.2857388.178380256124195180
63CF By the Numbers0.673680.5057512.7237-0.8553248.824380256124176172
64Compughter Ratings0.720340.4511513.3292-1.7696268.57535425599157191
65Sportrends0.679140.4816914.2513-1.1390311.714374254120171184
66DP Dwiggins0.724640.5029413.2079-4.7775276.04234525095171169
67football.loudsound.org0.704350.5015413.4145-5.0261284.157345243102163162
68Betgrinders.com0.690300.5538512.6370-1.3646235.52826818583144116
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