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