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

2014 Last Week

Through 2015-01-13
Rank System Pct. Correct Against Spread Absolute Error Bias Mean Square Error games suw sul atsw atsl
1Regression Based Analys0.608700.5909112.52170.5217247.72723149139
2Loudsound.org0.523810.7500012.4757-0.3805261.703211110155
3Sagarin Points Elo0.666670.5384613.3921-0.5279271.6203926132118
4Tempo Free Gridiron0.434780.4090914.0000-3.4783301.735231013913
5MDS Model0.631580.6315812.1587-1.9713251.3983824142414
6Ashby AccuRatings0.615380.6578912.6408-0.0756264.1803924152513
7Payne Power Ratings0.615380.5384613.0490-0.6567265.3223924152118
8Dave Congrove0.615380.5384613.1364-0.9210284.6073924152118
9Logistic Regression0.615380.5128214.0295-1.0356309.5573924152019
10Howell0.605260.6000012.6047-1.2363257.1723823152114
11Pigskin Index0.589740.4864913.0518-0.5892264.7393923161819
12Bihl System0.578950.5789512.8295-0.2042252.1643822162216
13Beck Elo0.589740.5897413.26360.2195256.5723923162316
14Daniel Curry Index0.589740.5128212.9385-0.2205244.6733923162019
15Sportrends0.540540.5882413.29730.4595287.8463720172014
16Keeper0.552630.5000012.8163-0.2295243.3213821171919
17Dunkel Index0.564100.4615413.73131.8533274.2213922171821
18NutShell Combo0.564100.5641013.4723-0.9518271.5043922172217
19Edward Kambour0.564100.4871813.37150.6726278.0023922171920
20Laffaye RWP0.564100.5384613.2364-1.2733280.1663922172118
21Massey Ratings0.564100.5588213.1282-0.0513268.1023922171915
22Moore Power Ratings0.564100.6410313.09000.1459264.6683922172514
23Massey Consensus0.564100.6410312.8485-0.7105264.4583922172514
24Laffaye XWP0.538460.4615418.01039.4769499.3973921181821
25FEI Projections0.538460.4722214.0256-1.5128297.2493921181719
26Nutshell Eye0.538460.5128213.7092-1.8564289.0673921182019
27ARGH Power Ratings0.538460.6756812.6923-0.0769262.7343921182512
28Donchess Inference0.538460.5384613.26180.3136267.6063921182118
29Linear Regression0.538460.5789513.23921.6900269.8323921182216
30NutShell Sports0.538460.5641013.2231-1.3513261.1813921182217
31ThePowerRank.com0.538460.5526313.1438-0.5331271.8153921182117
32Sagarin Points0.538460.5384613.10150.9138263.9563921182118
33Super List0.538460.6153813.00030.6449262.4853921182415
34Stat Fox0.538460.5000012.94950.5392262.4893921181717
35System Median0.512820.6052612.97180.0744257.1703920192315
36Least Squares w/ HFA0.512820.3333317.41515.0885424.2133920191326
37Nutshell Girl0.512820.5384614.3433-1.2644350.0443920192118
38PointShare0.512820.4359013.82030.3741291.7513920191722
39ComPughter Ratings0.512820.5641013.66000.3846298.9713920192217
40Billingsley0.512820.4871813.6244-1.5567299.1083920191920
41Lee Burdorf0.512820.4871813.56151.1718279.7693920191920
42Sagarin Golden Mean0.512820.5897413.33511.7751287.8263920192316
43Sagarin Ratings0.512820.6410313.18590.8362263.9663920192514
44CPA Retro0.512820.4871813.16560.5846270.6503920191920
45PerformanZ Ratings0.512820.5641013.06260.2944269.7643920192217
46CPA Rankings0.512820.4615413.04671.4103260.8783920191821
47Born Power Index0.512820.5641012.71051.1515253.9453920192217
48Line (Midweek)0.5128213.41030.4359269.111392019
49PI-Rate Bias0.487180.5000013.38181.4997273.2463919201919
50Brent Craig0.473680.4736813.33000.3921260.0063818201820
51Catherwood Ratings0.487180.4473713.87181.6154289.9593919201721
52Marsee0.487180.4736813.66670.5897278.3763919201820
53Line (updated)0.487180.3157913.57690.3718273.426391920613
54Pi-Ratings Mean0.487180.5263213.51510.8900266.7993919202018
55Computer Adjusted Line0.487180.4090913.50000.3205270.773391920913
56Billingsley+0.487180.5128213.4495-1.1674276.5383919202019
57Thompson CAL0.487180.5897413.33850.5436263.3403919202316
58Thompson ATS0.487180.6153813.28210.4872264.4693919202415
59Thompson Average0.487180.5897413.22950.4505260.9603919202316
60Covers.com0.487180.5945913.2118-1.3005283.1153919202215
61Cleanup Hitter0.487180.5897413.0541-0.6228266.6193919202316
62System Average0.487180.6153813.03210.1736259.6183919202415
63Laz Index0.487180.6410313.0221-0.2231266.1253919202514
64Stephen Kerns0.487180.5641012.6385-0.1256255.1373919202217
65Atomic Football0.461540.5588213.2821-0.5641275.8383918211915
66DirectorOfInformation0.461540.4871813.3826-0.2738280.1173918211920
67Pi-Rate Ratings0.461540.4871813.49771.5690274.8073918211920
68Dokter Entropy0.435900.5641013.17000.0264257.6243917222217
69Line (opening)0.410260.4705913.55130.1154275.0963916231618
* 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