ThePredictionTracker NCAA RESULTS

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

2021 Last Week

Through 2022-01-11

Rank	System	Pct. Correct	Against Spread	Absolute Error	Bias	games	suw	sul	atsw	atsl
1	ARGH Power Ratings	1.00000	1.00000	8.0000	8.0000	1	1	0	1	0
2	Beck Elo	1.00000	0.00000	12.1000	12.1000	1	1	0	0	1
3	Billingsley	0.00000	0.00000	15.8000	15.8000	1	0	1	0	1
4	Born Power Index	1.00000	0.00000	13.1000	13.1000	1	1	0	0	1
5	Brent Craig	1.00000	0.00000	12.5800	12.5800	1	1	0	0	1
6	Cleanup Hitter	0.00000	0.00000	20.5000	20.5000	1	0	1	0	1
7	Computer Adjusted Line	1.00000		12.0000	12.0000	1	1	0
8	Daniel Curry Index	1.00000	1.00000	8.1100	8.1100	1	1	0	1	0
9	Dave Congrove	1.00000	0.00000	14.9900	14.9900	1	1	0	0	1
10	David Harville	1.00000	1.00000	11.8300	11.8300	1	1	0	1	0
11	Dokter Entropy	0.00000	0.00000	15.3000	15.3000	1	0	1	0	1
12	Donchess Inference	0.00000	0.00000	18.0000	18.0000	1	0	1	0	1
13	DP Dwiggins	1.00000	1.00000	9.0000	9.0000	1	1	0	1	0
14	Dunkel Index	1.00000	1.00000	6.9700	6.9700	1	1	0	1	0
15	Edward Kambour	1.00000	0.00000	12.0500	12.0500	1	1	0	0	1
16	ESPN FPI	1.00000	0.00000	12.1200	12.1200	1	1	0	0	1
17	FEI Projections	1.00000	1.00000	3.5000	3.5000	1	1	0	1	0
18	Howell	1.00000	1.00000	7.5000	7.5000	1	1	0	1	0
19	Laffaye RWP	1.00000	1.00000	11.7100	11.7100	1	1	0	1	0
20	Laz Index	1.00000	1.00000	10.8500	10.8500	1	1	0	1	0
21	Least Squares w/ HFA	1.00000	1.00000	11.5400	11.5400	1	1	0	1	0
22	Line (Midweek)	1.00000		12.0000	12.0000	1	1	0
23	Line (opening)	0.00000	0.00000	16.0000	16.0000	1	0	1	0	1
24	Line (updated)	1.00000		12.0000	12.0000	1	1	0
25	Linear Regression	1.00000	1.00000	7.5400	7.5400	1	1	0	1	0
26	Logistic Regression	1.00000	0.00000	14.9900	14.9900	1	1	0	0	1
27	Loudsound.org	1.00000		12.0000	12.0000	1	1	0
28	Massey Consensus	1.00000	0.00000	14.9900	14.9900	1	1	0	0	1
29	Massey Ratings	1.00000	0.00000	14.2000	14.2000	1	1	0	0	1
30	Moore Power Ratings	1.00000	0.00000	13.4600	13.4600	1	1	0	0	1
31	Payne Power Ratings	1.00000	0.00000	13.3900	13.3900	1	1	0	0	1
32	Payne Predict	1.00000	1.00000	9.6200	9.6200	1	1	0	1	0
33	Payne W/L	0.00000	0.00000	15.4200	15.4200	1	0	1	0	1
34	PerformanZ Ratings	1.00000	1.00000	10.5800	10.5800	1	1	0	1	0
35	PI-Rate Bias	1.00000	0.00000	12.9000	12.9000	1	1	0	0	1
36	Pi-Rate Ratings	1.00000	0.00000	13.5000	13.5000	1	1	0	0	1
37	Pi-Ratings Mean	1.00000	0.00000	12.7000	12.7000	1	1	0	0	1
38	Pigskin Index	0.00000	0.00000	19.0000	19.0000	1	0	1	0	1
39	Sagarin Golden Mean	0.00000	0.00000	15.7100	15.7100	1	0	1	0	1
40	Sagarin Points	1.00000	1.00000	11.5800	11.5800	1	1	0	1	0
41	Sagarin Ratings	1.00000	0.00000	13.9500	13.9500	1	1	0	0	1
42	Sagarin Recent	0.00000	0.00000	16.9600	16.9600	1	0	1	0	1
43	Stat Fox	0.00000	0.00000	16.0000	16.0000	1	0	1	0	1
44	Stephen Kerns	1.00000	1.00000	11.8000	11.8000	1	1	0	1	0
45	Super List	1.00000	0.00000	14.8300	14.8300	1	1	0	0	1
46	System Average	1.00000	0.00000	12.5500	12.5500	1	1	0	0	1
47	System Median	1.00000	0.00000	12.6400	12.6400	1	1	0	0	1
48	Talisman Red	1.00000	1.00000	8.5300	8.5300	1	1	0	1	0
49	TeamRankings.com	1.00000	1.00000	10.0000	10.0000	1	1	0	1	0
50	Versus Sports Simulator	1.00000	1.00000	9.1600	9.1600	1	1	0	1	0

* 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