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