A Better BCS Computer Component?

© Copyright 2008, Paul Kislanko

There are several aspects of the method for handling the BCS computer component that trouble us mathematically-inclined football fans. They have some common root causes, and essentially are there as fixes to the perceived problems rather than real ones.

1 There aren't enough computers
There are 114 Harris voters and 61 voters in the coaches' poll (not all of whom are coaches, of course) for a total of 175 humans. There are only six computers, which makes it problematic to use the same summarization technique that applies to the human polls. There are over a hundred well-understood computer rankings that could be used, but aren't at least partly because...
2 Computers aren't allowed to take MOV into account.
This arbitrary rule eliminates some of the best-known and most widely-respected (for good reason) computer algorithms, including two of the original BCS systems. The rule was added to prevent unsportsmanlike "running up the score" but since there's no similar prohibition (or vetting of any kind) for human voters that make up two thirds of the total formula failing to include these hasn't had any affect at all on the occurrence of RUTS.

One of the reasons an amalgamation of many perspectives tends to give better results in any kind of election than the shared opinions of a few is that "more is better." If we excluded all the human voters who take MOV into account the human polls would be even less useful than they are now.

3 Averaging isn't the right approach
There are really two parts to this.
  1. Due to 1 such a small number of values (ranks) gives too much weight to "extreme" outliers
  2. Due to 3a there's this silly rule that says "ignore high and low ranks"
I call the rule in 3b "silly" because it recognizes that the averaging method is weak when there are so few values, but doesn't really "fix" the method. A proper fix would add enough computer "voters" to make averaging (or summing Borda counts, which is the same thing) appropriate, or using something more representative than the average. It's also "silly" because no such rule applies to the Harris or Coaches' poll.
Aside:
I wrote a few years ago (before the current formula was adopted) that the computer rankings should be summed up the same way the human polls are. The BCS thinks they are doing that, but they got it wrong. They chose the "25 points for a 1st place vote down to 1 point for a 25th place vote" because "that's how the humans do it."

But that's not "how the humans do it." The humans assign (N+1)-R points for each rank R on a ballot that allows N teams. Since the computers rank all 120 teams, "doing it the same way" would mean a vote for 1st is worth 119, 2nd 118, down to 0 for 120th. This is called the "Borda count" and anybody who designs and counts a "poll" should know what they're using and why they've chosen it.

A Better Approach

Because computers are generally better at ranking teams than humans are, we don't really need too many more than we have, we just need some different ones. If we begin with the six curent ones that perforce do not include MOV and add five that do, we get a pretty good mix. To get to five we include the original Massey-MOV and Sagarin Predictor that were originally part of the BCS and add three provided by subscribers to and the janitorcustodian at collegeBCS.com.

Just adding five computer rankings and using the same method (drop the high and low and average the rest) gives us:
RankPtsPctTeamANDBILCOLJF1†MBMLE†PSR†SEWOLMAS†SP†
1.2130.9467Texas43122313214
2.2040.9067Alabama14233632186
3.2030.9022Penn State32444444323
4.1980.8800Florida66315127652
4.1980.8800Texas Tech21571861437
6.1840.8178Oklahoma77656556545
7.1680.7467Southern California1159692811971
8.1530.6800Boise St8108111010787911
9.1450.6444Oklahoma St912121011710101268
10.1400.6222Georgia108108814129101314
11.1380.6133Utah5117137269581521
12.1250.5556Ohio State15913912111412111215
13.1210.5378TCU121511141312131413119
14.1130.5022Missouri131415171491515151010
15.920.4089Ball State1725161520131113141420
16.810.3600Michigan St1419141618201620161618
17.800.3556North Carolina1823181215161718181717
18.430.1911BYU1616172522461923173141
19.390.1733LSU2713292117343016221823
20.380.1689Miami-Florida2037251816272417231924
21.270.1200California2522222825182234282116
22.250.1111Georgia Tech2420211919362621263434
23.240.1067Oregon St4218382028213328312019
24.220.0978Minnesota2238203431241831192328
25.170.0756Pittsburgh1936192334442133243540
26.160.0711Northwestern2132232730312325202226
27.110.0489Iowa5754585459155159573913
28.100.0444Florida St2624272421302719252835
29.90.0400Arizona5333524750174955543612
30.80.0356Tulsa3030262245222046322943
31.60.0267Wake Forest2349283823423122293736
32.40.0178Oregon4426445043193841392722
33.30.0133Cincinnati2828243733382530213349
34.20.0089Virginia3841373324594624434042
35.10.0044West Virginia2921323532402838402531
35.10.0044Nebraska4360454541233745483225
37.00.0000Kansas4017424642293543423029
37.00.0000Mississippi3652463629284335442430
37.00.0000Illinois5046515551255252513827

† indicates MOV is considered by the rating.

Just including more and different computer rankings is an improvement, but once we have 11 instead of six computers it's not obvious that we need to drop any of them from the average. It turns out that we get a better result if we don't drop any ranks once we have "enough" ratings. However, we get an even better result if we don't use average rank at all.

Although dropping the high and low ranks before taking the average does nothing except suggest taking the average is a bad idea, if we chose the Bucklin Majority when there's an odd number of ratings we're essentially dropping highs and lows until we select the median. With 11 ratings we're essentially dropping the high five and the low five, but now we're not really "dropping" any, we're selecting the median instead of the mean.

It turns out that picking the median value of six non-MOV and five MOV rankings is a better characterization of the results-to-date than either variety of average ranks:

Rankings in Weighted Retrodictive Ranking Violation Order
6 Nov 2008 11:36:20 (US Central)
Through games of 1 Nov 2008

TeamSEMBBmajNodropDropANDWOLMAS†BILCOLSP†PSR†JF1†MLE†
Texas 3 2 2 1 1 4 2 1 3 1 4 1 2 3
Alabama 2 3 3 3 2 1 1 8 4 2 6 3 3 6
Penn State 4 4 4 2 3 3 3 2 2 4 3 4 4 4
Texas Tech 1 1 4 5 4 2 4 3 1 5 7 6 7 8
Florida 7 5 5 4 4 6 6 5 6 3 2 2 1 1
Oklahoma 6 6 5 6 6 7 5 4 7 6 5 5 5 5
Southern California 11 9 8 7 7 11 9 7 5 9 1 8 6 2
Boise St 8 10 9 8 8 8 7 9 10 8 11 7 11 10
Utah 5 7 9 11 11 5 8 15 11 7 21 9 13 26
Georgia 9 8 10 10 10 10 10 13 8 10 14 12 8 14
Oklahoma St 10 11 10 9 9 9 12 6 12 12 8 10 10 7
Ohio State 12 12 12 12 12 15 11 12 9 13 15 14 9 11
TCU 14 13 13 13 13 12 13 11 15 11 9 13 14 12
Missouri 15 14 14 14 14 13 15 10 14 15 10 15 17 9
Ball State 13 20 15 15 15 17 14 14 25 16 20 11 15 13
Michigan St 20 18 16 16 16 14 16 16 19 14 18 16 16 20
North Carolina 18 15 17 17 17 18 18 17 23 18 17 17 12 16
BYU 23 22 22 21 20 16 17 31 16 17 41 19 25 46
California 34 25 22 20 20 25 28 21 22 22 16 22 28 18
LSU 16 17 22 18 19 27 22 18 13 29 23 30 21 34
TeamSEMBBmajNodropDropANDWOLMAS†BILCOLSP†PSR†JF1†MLE†
Miami-Florida 17 16 23 18 18 20 23 19 37 25 24 24 18 27
Georgia Tech 21 19 24 22 22 24 26 34 20 21 34 26 19 36
Minnesota 31 31 24 25 24 22 19 23 38 20 28 18 34 24
Northwestern 25 30 25 22 23 21 20 22 32 23 26 23 27 31
Florida St 19 21 26 24 24 26 25 28 24 27 35 27 24 30
Oregon St 28 28 28 26 26 42 31 20 18 38 19 33 20 21
Cincinnati 30 33 30 29 28 28 21 33 28 24 49 25 37 38
Tulsa 46 45 30 28 29 30 32 29 30 26 43 20 22 22
Wake Forest 22 23 31 32 30 23 29 37 49 28 36 31 38 42
West Virginia 38 32 32 30 32 29 40 25 21 32 31 28 35 40
Pittsburgh 33 34 33 27 27 19 24 35 36 19 40 21 23 44
South Carolina 26 27 33 31 31 34 35 26 39 36 33 41 26 32
Mississippi 35 29 36 35 34 36 44 24 52 46 30 43 36 28
Maryland 37 37 37 45 43 31 41 50 34 35 65 45 30 69
Kentucky 36 35 39 36 36 41 34 41 29 40 54 39 29 39
Oregon 41 43 39 33 33 44 39 27 26 44 22 38 50 19
Vanderbilt 39 40 39 41 39 33 45 42 56 43 38 36 39 35
Connecticut 40 36 40 37 38 35 38 43 31 33 48 40 40 43
Kansas 43 42 40 34 35 40 42 30 17 42 29 35 46 29
Virginia 24 24 40 37 37 38 43 40 41 37 42 46 33 59
TeamSEMBBmajNodropDropANDWOLMAS†BILCOLSP†PSR†JF1†MLE†
Virginia Tech 32 38 41 39 40 46 37 44 27 41 46 44 32 45
Air Force 44 44 42 42 42 32 36 48 42 31 51 32 41 54
Central Michigan 42 46 42 46 45 37 30 49 43 30 72 29 31 70
Navy 29 39 42 44 44 39 27 45 57 34 53 42 43 52
Nebraska 45 41 43 40 41 43 48 32 60 45 25 37 45 23
Duke 27 26 47 47 47 45 47 47 59 50 32 53 53 50
Western Michigan 48 52 47 52 49 47 33 46 70 39 63 34 42 49
Notre Dame 50 48 48 50 51 48 52 52 40 48 37 50 48 47
Arizona 55 50 49 43 46 53 54 36 33 52 12 49 47 17
South Florida 49 49 49 51 50 49 49 53 35 47 45 48 56 41
Illinois 52 51 51 48 48 50 51 38 46 51 27 52 55 25
Rice 53 58 53 55 54 52 46 54 79 49 69 47 51 58
Iowa 59 59 54 49 52 57 57 39 54 58 13 51 54 15
Arkansas 47 47 55 57 56 51 53 55 61 56 70 64 49 74
Boston College 56 54 55 53 53 54 63 57 47 55 44 55 57 48
East Carolina 57 55 58 58 58 58 60 58 48 57 61 56 62 67
San Jose St 54 60 58 60 60 60 50 65 58 54 81 57 52 82
Wisconsin 62 62 58 54 55 59 58 51 53 60 39 58 58 33
Stanford 60 57 59 56 57 61 59 56 45 59 47 60 60 57
Clemson 58 56 61 59 59 62 68 62 44 61 50 66 63 53
TeamSEMBBmajNodropDropANDWOLMAS†BILCOLSP†PSR†JF1†MLE†
Louisville 64 61 63 61 61 56 62 69 63 53 78 62 65 71
Troy 73 79 63 62 62 70 55 61 75 63 64 54 61 51
Rutgers 61 63 64 64 64 71 64 63 76 71 57 67 67 64
Colorado 51 53 65 63 63 55 56 72 65 62 82 69 71 83
Fresno St 65 71 65 67 67 63 61 71 68 65 86 61 44 79
Northern Illinois 76 77 66 66 64 72 67 59 102 66 56 59 59 37
Auburn 67 67 67 65 66 68 74 64 55 74 55 72 77 56
Kansas St 66 68 67 68 69 67 66 66 74 73 59 70 80 66
Buffalo 69 70 68 70 68 69 65 68 94 64 68 63 69 63
UL Lafayette 86 86 70 71 71 77 70 60 85 70 71 65 64 62
New Mexico 72 69 72 73 74 66 71 77 67 72 79 76 76 80
Colorado St 70 66 73 79 77 65 73 87 82 67 95 82 72 101
Hawaii 63 64 73 73 72 73 69 76 73 68 85 73 70 91
Texas A&M 71 65 73 72 73 64 75 73 64 69 76 80 79 81
Houston 78 88 74 75 75 80 72 74 86 78 62 68 66 60
Tennessee 74 74 74 69 70 74 80 67 51 84 52 81 68 55
Purdue 68 72 76 76 76 75 77 79 71 76 67 83 83 76
Akron 77 84 77 81 78 78 76 75 98 77 80 75 78 73
Nevada 80 82 78 78 78 76 79 78 91 75 66 71 93 68
Baylor 81 75 80 77 80 79 93 70 80 86 58 87 86 61
TeamSEMBBmajNodropDropANDWOLMAS†BILCOLSP†PSR†JF1†MLE†
Louisiana Tech 82 80 81 84 83 83 81 91 66 79 107 79 75 97
UCLA 75 73 81 80 81 81 83 82 50 80 75 86 87 89
Bowling Green 91 91 82 83 82 84 82 83 105 82 74 74 74 75
Arizona St 84 76 84 82 83 94 98 81 62 92 60 92 89 77
Indiana 83 78 85 86 86 86 88 90 77 85 84 88 94 84
Marshall 85 89 85 88 86 85 78 85 83 81 99 84 81 93
Temple 88 90 85 85 85 93 85 80 101 91 73 77 84 65
Arkansas St 94 94 86 87 88 87 86 86 90 83 90 78 73 78
Mississippi St 89 85 89 89 89 88 94 88 69 97 89 95 90 90
Memphis 93 92 90 91 91 92 89 89 97 90 92 89 88 85
UNLV 87 81 90 90 89 82 90 93 92 88 87 94 95 96
UTEP 95 93 91 92 92 90 91 96 84 87 96 91 85 92
Florida Intl 92 99 92 93 93 99 84 84 96 96 94 90 91 87
Florida Atlantic 98 97 95 94 94 95 87 97 87 89 104 85 82 95
Syracuse 90 87 95 98 97 91 95 98 106 93 97 97 92 103
Southern Miss 101 100 96 97 98 100 96 92 100 99 83 93 96 72
Michigan 99 95 97 95 95 97 102 95 72 100 77 99 97 86
North Carolina St 79 83 98 96 96 98 99 94 78 98 91 104 102 104
New Mexico St 96 101 99 99 99 96 92 105 103 94 115 96 99 108
Wyoming 103 96 101 102 102 89 103 110 95 95 117 101 101 117
TeamSEMBBmajNodropDropANDWOLMAS†BILCOLSP†PSR†JF1†MLE†
Middle Tenn St 100 103 102 101 101 103 97 102 99 106 105 102 104 100
Toledo 102 104 102 102 102 106 100 99 107 103 100 100 107 99
UCF 105 106 102 100 100 102 104 104 88 101 98 98 100 102
Ohio 110 111 104 105 105 108 107 103 104 108 93 103 103 88
Army 104 102 105 107 107 104 105 100 113 104 106 108 110 109
Utah St 97 98 105 106 106 101 101 107 112 102 110 105 108 115
Iowa State 107 108 107 104 104 105 111 101 93 110 88 109 111 94
Tulane 109 107 107 110 109 107 109 111 111 105 103 107 105 110
UL Monroe 111 110 107 108 108 109 106 106 108 107 111 106 98 105
Eastern Michigan 112 112 112 113 111 111 110 113 117 111 112 111 116 111
Miami-Ohio 114 114 112 112 111 112 112 109 110 114 109 112 114 112
Washington 106 105 112 109 110 114 113 112 81 112 101 113 118 107
UAB 113 115 114 115 115 113 108 114 115 115 114 114 113 113
Washington St 108 109 114 111 114 110 114 116 89 113 118 117 117 116
Kent St 118 120 115 113 113 117 117 108 109 117 102 115 115 98
San Diego St 115 113 116 118 118 116 120 117 114 120 116 120 112 118
SMU 119 117 116 117 117 115 119 115 116 116 113 116 106 114
Western Kentucky 120 116 116 116 116 121 118 118 120 109 108 110 109 106
Idaho 116 118 118 119 119 118 116 120 118 118 120 118 119 120
North Texas 117 119 119 120 120 119 115 119 119 119 119 119 120 119
WViol1883.91907.92037.02126.62130.32207.32224.02227.62232.42350.92411.32434.32465.32511.8
559 71 70 77 76 77 72 79 86 78 77 93 83 84 98

While it's clear from these results that adding more computers - even some that include MOV - improves the "fit" of computer rankings to results even when averaging with or without dropping best and worst ranks. Still, the best fit comes from using the Majority Consensus (median) rank.

Now, once we find a more correct summary of the computer ranks, we still have to find a better way to incorporate them than 1/3 of the formula, but that's for another essay.