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