2006 Bowl Prediction Contest:
Congratulations to 2006 bowl prediction champions Corwyn Newman and Team UNC!
Top five: Newman, Feeman, Frey, McCune, Killian
Contest Rules:
1. To participate in the contest, you should assign win probabilities summing to 100% to the two teams in each of the 32 bowl games. You should then submit your list of predicted winners and their win probabilities (all 50% or higher) to Jesse Frey by 5 PM on December 18, 2006. Please submit your list (of winners only) in the text of an e-mail rather than as an attachment. Any predicted winners unaccompanied by win probabilities will be assigned win probabilities of 100%, and win probabilities of 50% will be assigned for any bowl game for which no winner is picked.
2. When submitting picks, you may also indicate one or more contest teams that you wish to be considered a part of. Traditional contest teams include Team UNC, Team OSU, and Team GEICO. Both an individual winner and a team winner will be identified.
3. Your total score for the contest will be the sum of 32 game scores. Each game score will be computed as w*(1-p)^2, where p is the win probability that you assigned to the winner of the game and w is the weight associated with the game. Each game other than the five BCS games will have w=1, and the four non-championship BCS bowl games will have w=2. The national championship game will have w=5. For example, if you assign win probabilities of 0.7 to TCU and 0.3 to Northern Illinois, then your game score will be 1*(1-0.7)^2=0.09 if TCU wins and 1*(1-0.3)^2=0.49 if Northern Illinois wins. The participant with the lowest total score is the individual winner. Scores for contest teams will also be sums of 32 game scores. Each contest team's win probability for a given game will be the average of the win probabilities assigned by all team members.
4. Important note: This is the fourth year that the contest has been run. In two of the previous three years, only a handful of people have earned scores lower than the scores they would have earned had they assigned win probability 50% to each team. This suggests that erring on the conservative side when assigning win probabilities may be a smart idea.
5. In the past, it has been possible to post frequent contest updates during the bowl season. This will not be the case this year. However, all picks will be posted prior to the start of the first game, and there should be a score update prior to the national championship game.
Past Winners:
2003: M. Pavlicova (C. Newman in second)
2004: E. Lam (D. Harville in second) and Team OSU
2005: E. Lam (Y. C. Zhang in second) and Team OSU
List of Bowl Games:
1. 12/19 TCU versus
2. 12/20 BYU versus
3. 12/22 Rice versus
4. 12/23 South Florida versus
5. 12/23
6. 12/23
7. 12/24
8. 12/26
9. 12/27
10. 12/28
11. 12/28
12. 12/28 Rutgers versus
13. 12/29 Clemson versus
14. 12/29
15. 12/29
16. 12/29
17. 12/29 Purdue versus
18. 12/30 Navy versus
19. 12/30
20. 12/30
21. 12/31
22. 1/1
23. 1/1
24. 1/1
25. 1/1
26. 1/1 Southern California versus
27. 1/1
28. 1/2
29. 1/3 Notre Dame versus LSU (w=2)
30. 1/6
31. 1/7
32. 1/8
The picks so far:
|
|
|
Feeman |
Frey |
Harville |
Killian |
Lam |
McCune |
Newman |
Piser |
Sauder |
Seok |
K. Tordoff |
M. Tordoff |
Turnes |
Zhang |
|
Team |
Team |
Team |
Team |
Team |
|
|
|
VU |
OSU-UNC-VU |
GEICO |
GEICO |
OSU |
Iowa-UNC |
GEICO-UNC |
GEICO |
|
|
OSU |
|
GEICO |
OSU |
|
GEICO |
|
UNC |
OSU |
Villanova |
|
Team |
Result |
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TCU |
1 |
0.480 |
0.770 |
0.680 |
0.570 |
0.350 |
0.800 |
0.600 |
0.600 |
0.600 |
0.850 |
0.700 |
0.750 |
0.750 |
0.450 |
|
0.640 |
0.750 |
0.723 |
0.568 |
0.625 |
|
No.
|
0 |
0.520 |
0.230 |
0.320 |
0.430 |
0.650 |
0.200 |
0.400 |
0.400 |
0.400 |
0.150 |
0.300 |
0.250 |
0.250 |
0.550 |
|
0.360 |
0.250 |
0.277 |
0.433 |
0.375 |
|
1 |
Score |
0.270 |
0.053 |
0.102 |
0.185 |
0.423 |
0.040 |
0.160 |
0.160 |
0.160 |
0.023 |
0.090 |
0.063 |
0.063 |
0.303 |
|
0.130 |
0.063 |
0.077 |
0.187 |
0.141 |
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BYU |
1 |
0.470 |
0.600 |
0.620 |
0.530 |
0.300 |
0.590 |
0.530 |
0.480 |
0.450 |
0.800 |
0.450 |
0.400 |
0.592 |
0.600 |
|
0.550 |
0.613 |
0.573 |
0.488 |
0.535 |
|
|
0 |
0.530 |
0.400 |
0.380 |
0.470 |
0.700 |
0.410 |
0.470 |
0.520 |
0.550 |
0.200 |
0.550 |
0.600 |
0.408 |
0.400 |
|
0.450 |
0.387 |
0.427 |
0.513 |
0.465 |
|
1 |
Score |
0.551 |
0.213 |
0.247 |
0.406 |
0.913 |
0.208 |
0.381 |
0.430 |
0.463 |
0.063 |
0.393 |
0.423 |
0.229 |
0.463 |
|
0.332 |
0.212 |
0.259 |
0.450 |
0.357 |
|
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Rice |
0 |
0.510 |
0.670 |
0.560 |
0.530 |
0.600 |
0.640 |
0.470 |
0.510 |
0.530 |
0.550 |
0.650 |
0.650 |
0.654 |
0.440 |
|
0.545 |
0.573 |
0.593 |
0.590 |
0.590 |
|
|
1 |
0.490 |
0.330 |
0.440 |
0.470 |
0.400 |
0.360 |
0.530 |
0.490 |
0.470 |
0.450 |
0.350 |
0.350 |
0.346 |
0.560 |
|
0.455 |
0.427 |
0.407 |
0.410 |
0.410 |
|
1 |
Score |
0.811 |
0.662 |
0.560 |
0.687 |
1.273 |
0.618 |
0.602 |
0.691 |
0.743 |
0.365 |
0.815 |
0.845 |
0.657 |
0.656 |
|
0.629 |
0.541 |
0.611 |
0.798 |
0.705 |
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So. |
1 |
0.500 |
0.570 |
0.590 |
0.540 |
0.550 |
0.600 |
0.520 |
0.610 |
0.580 |
0.900 |
0.550 |
0.550 |
0.602 |
0.700 |
|
0.572 |
0.693 |
0.563 |
0.593 |
0.535 |
|
|
0 |
0.500 |
0.430 |
0.410 |
0.460 |
0.450 |
0.400 |
0.480 |
0.390 |
0.420 |
0.100 |
0.450 |
0.450 |
0.398 |
0.300 |
|
0.428 |
0.307 |
0.437 |
0.408 |
0.465 |
|
1 |
Score |
1.061 |
0.847 |
0.729 |
0.898 |
1.475 |
0.778 |
0.832 |
0.843 |
0.920 |
0.375 |
1.018 |
1.048 |
0.815 |
0.746 |
|
0.811 |
0.635 |
0.801 |
0.964 |
0.921 |
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0 |
0.470 |
0.510 |
0.460 |
0.520 |
0.400 |
0.590 |
0.350 |
0.530 |
0.350 |
0.100 |
0.600 |
0.600 |
0.597 |
0.650 |
|
0.491 |
0.347 |
0.483 |
0.540 |
0.490 |
|
|
1 |
0.530 |
0.490 |
0.540 |
0.480 |
0.600 |
0.410 |
0.650 |
0.470 |
0.650 |
0.900 |
0.400 |
0.400 |
0.403 |
0.350 |
|
0.509 |
0.653 |
0.517 |
0.460 |
0.510 |
|
1 |
Score |
1.282 |
1.107 |
0.940 |
1.169 |
1.635 |
1.126 |
0.955 |
1.124 |
1.042 |
0.385 |
1.378 |
1.408 |
1.171 |
1.169 |
|
1.053 |
0.755 |
1.035 |
1.255 |
1.161 |
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0 |
0.400 |
0.470 |
0.560 |
0.490 |
0.350 |
0.490 |
0.510 |
0.590 |
0.560 |
0.250 |
0.450 |
0.700 |
0.466 |
0.250 |
|
0.523 |
0.433 |
0.490 |
0.380 |
0.435 |
|
|
1 |
0.600 |
0.530 |
0.440 |
0.510 |
0.650 |
0.510 |
0.490 |
0.410 |
0.440 |
0.750 |
0.550 |
0.300 |
0.534 |
0.750 |
|
0.477 |
0.567 |
0.510 |
0.620 |
0.565 |
|
1 |
Score |
1.442 |
1.328 |
1.254 |
1.409 |
1.758 |
1.366 |
1.215 |
1.472 |
1.356 |
0.448 |
1.580 |
1.898 |
1.389 |
1.231 |
|
1.327 |
0.943 |
1.275 |
1.400 |
1.351 |
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0 |
0.540 |
0.490 |
0.370 |
0.470 |
0.650 |
0.290 |
0.450 |
0.480 |
0.550 |
0.100 |
0.350 |
0.300 |
0.322 |
0.700 |
|
0.418 |
0.313 |
0.410 |
0.548 |
0.515 |
|
|
1 |
0.460 |
0.510 |
0.630 |
0.530 |
0.350 |
0.710 |
0.550 |
0.520 |
0.450 |
0.900 |
0.650 |
0.700 |
0.678 |
0.300 |
|
0.582 |
0.687 |
0.590 |
0.453 |
0.485 |
|
1 |
Score |
1.734 |
1.568 |
1.391 |
1.630 |
2.180 |
1.450 |
1.417 |
1.702 |
1.658 |
0.458 |
1.703 |
1.988 |
1.492 |
1.721 |
|
1.502 |
1.041 |
1.443 |
1.700 |
1.616 |
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0 |
0.450 |
0.430 |
0.390 |
0.430 |
0.450 |
0.230 |
0.220 |
0.530 |
0.470 |
0.450 |
0.250 |
0.200 |
0.269 |
0.450 |
|
0.368 |
0.383 |
0.293 |
0.395 |
0.440 |
|
Cent. |
1 |
0.550 |
0.570 |
0.610 |
0.570 |
0.550 |
0.770 |
0.780 |
0.470 |
0.530 |
0.550 |
0.750 |
0.800 |
0.731 |
0.550 |
|
0.632 |
0.617 |
0.707 |
0.605 |
0.560 |
|
1 |
Score |
1.936 |
1.753 |
1.543 |
1.815 |
2.383 |
1.503 |
1.466 |
1.983 |
1.879 |
0.660 |
1.765 |
2.028 |
1.565 |
1.924 |
|
1.637 |
1.188 |
1.529 |
1.856 |
1.809 |
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1 |
0.450 |
0.400 |
0.370 |
0.480 |
0.300 |
0.380 |
0.495 |
0.500 |
0.320 |
0.050 |
0.250 |
0.250 |
0.375 |
0.600 |
|
0.444 |
0.250 |
0.425 |
0.388 |
0.425 |
|
UCLA |
0 |
0.550 |
0.600 |
0.630 |
0.520 |
0.700 |
0.620 |
0.505 |
0.500 |
0.680 |
0.950 |
0.750 |
0.750 |
0.625 |
0.400 |
|
0.556 |
0.750 |
0.575 |
0.613 |
0.575 |
|
1 |
Score |
2.239 |
2.113 |
1.940 |
2.085 |
2.873 |
1.887 |
1.721 |
2.233 |
2.342 |
1.563 |
2.328 |
2.590 |
1.955 |
2.084 |
|
1.946 |
1.750 |
1.860 |
2.231 |
2.140 |
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|
1 |
0.480 |
0.540 |
0.630 |
0.550 |
0.400 |
0.530 |
0.540 |
0.470 |
0.540 |
0.700 |
0.450 |
0.750 |
0.556 |
0.600 |
|
0.549 |
0.590 |
0.537 |
0.498 |
0.510 |
|
|
0 |
0.520 |
0.460 |
0.370 |
0.450 |
0.600 |
0.470 |
0.460 |
0.530 |
0.460 |
0.300 |
0.550 |
0.250 |
0.444 |
0.400 |
|
0.451 |
0.410 |
0.463 |
0.503 |
0.490 |
|
1 |
Score |
2.509 |
2.324 |
2.077 |
2.288 |
3.233 |
2.108 |
1.932 |
2.514 |
2.553 |
1.653 |
2.630 |
2.653 |
2.152 |
2.244 |
|
2.149 |
1.918 |
2.074 |
2.483 |
2.380 |
|
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|
1 |
0.530 |
0.530 |
0.650 |
0.530 |
0.650 |
0.630 |
0.530 |
0.570 |
0.530 |
0.350 |
0.600 |
0.700 |
0.625 |
0.600 |
|
0.581 |
0.503 |
0.563 |
0.595 |
0.530 |
|
|
0 |
0.470 |
0.470 |
0.350 |
0.470 |
0.350 |
0.370 |
0.470 |
0.430 |
0.470 |
0.650 |
0.400 |
0.300 |
0.375 |
0.400 |
|
0.419 |
0.497 |
0.437 |
0.405 |
0.470 |
|
1 |
Score |
2.730 |
2.545 |
2.199 |
2.508 |
3.355 |
2.245 |
2.153 |
2.699 |
2.774 |
2.075 |
2.790 |
2.743 |
2.293 |
2.404 |
|
2.325 |
2.165 |
2.265 |
2.647 |
2.601 |
|
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|
|
|
1 |
0.900 |
0.650 |
0.780 |
0.560 |
0.750 |
0.710 |
0.760 |
0.600 |
0.770 |
0.950 |
0.650 |
0.650 |
0.688 |
0.300 |
|
0.678 |
0.810 |
0.707 |
0.588 |
0.775 |
|
|
0 |
0.100 |
0.350 |
0.220 |
0.440 |
0.250 |
0.290 |
0.240 |
0.400 |
0.230 |
0.050 |
0.350 |
0.350 |
0.312 |
0.700 |
|
0.322 |
0.190 |
0.293 |
0.413 |
0.225 |
|
1 |
Score |
2.740 |
2.668 |
2.247 |
2.702 |
3.418 |
2.329 |
2.211 |
2.859 |
2.827 |
2.078 |
2.913 |
2.865 |
2.390 |
2.894 |
|
2.429 |
2.201 |
2.351 |
2.817 |
2.652 |
|
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|
Clemson |
0 |
0.550 |
0.630 |
0.600 |
0.580 |
0.600 |
0.770 |
0.530 |
0.570 |
0.470 |
0.950 |
0.800 |
0.950 |
0.736 |
0.330 |
|
0.603 |
0.730 |
0.643 |
0.590 |
0.590 |
|
|
1 |
0.450 |
0.370 |
0.400 |
0.420 |
0.400 |
0.230 |
0.470 |
0.430 |
0.530 |
0.050 |
0.200 |
0.050 |
0.264 |
0.670 |
|
0.397 |
0.270 |
0.357 |
0.410 |
0.410 |
|
1 |
Score |
3.043 |
3.065 |
2.607 |
3.038 |
3.778 |
2.922 |
2.492 |
3.184 |
3.048 |
2.980 |
3.553 |
3.768 |
2.932 |
3.003 |
|
2.793 |
2.734 |
2.765 |
3.166 |
3.000 |
|
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|
|
1 |
0.520 |
0.560 |
0.560 |
0.530 |
0.550 |
0.600 |
0.510 |
0.530 |
0.490 |
0.150 |
0.550 |
0.650 |
0.587 |
0.550 |
|
0.543 |
0.413 |
0.557 |
0.553 |
0.540 |
|
|
0 |
0.480 |
0.440 |
0.440 |
0.470 |
0.450 |
0.400 |
0.490 |
0.470 |
0.510 |
0.850 |
0.450 |
0.350 |
0.413 |
0.450 |
|
0.457 |
0.587 |
0.443 |
0.448 |
0.460 |
|
1 |
Score |
3.273 |
3.258 |
2.801 |
3.259 |
3.980 |
3.082 |
2.732 |
3.405 |
3.308 |
3.703 |
3.755 |
3.890 |
3.103 |
3.205 |
|
3.001 |
3.078 |
2.962 |
3.366 |
3.211 |
|
|
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|
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|
|
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|
|
0 |
0.300 |
0.460 |
0.470 |
0.420 |
0.400 |
0.320 |
0.360 |
0.360 |
0.390 |
0.350 |
0.250 |
0.200 |
0.333 |
0.350 |
|
0.389 |
0.353 |
0.380 |
0.365 |
0.380 |
|
|
1 |
0.700 |
0.540 |
0.530 |
0.580 |
0.600 |
0.680 |
0.640 |
0.640 |
0.610 |
0.650 |
0.750 |
0.800 |
0.667 |
0.650 |
|
0.611 |
0.647 |
0.620 |
0.635 |
0.620 |
|
1 |
Score |
3.363 |
3.470 |
3.022 |
3.436 |
4.140 |
3.185 |
2.861 |
3.534 |
3.460 |
3.825 |
3.818 |
3.930 |
3.214 |
3.328 |
|
3.152 |
3.203 |
3.106 |
3.499 |
3.356 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
0.400 |
0.560 |
0.540 |
0.540 |
0.650 |
0.700 |
0.490 |
0.560 |
0.610 |
0.250 |
0.800 |
0.600 |
0.672 |
0.540 |
|
0.560 |
0.520 |
0.583 |
0.638 |
0.480 |
|
|
0 |
0.600 |
0.440 |
0.460 |
0.460 |
0.350 |
0.300 |
0.510 |
0.440 |
0.390 |
0.750 |
0.200 |
0.400 |
0.328 |
0.460 |
|
0.440 |
0.480 |
0.417 |
0.363 |
0.520 |
|
1 |
Score |
3.723 |
3.663 |
3.234 |
3.647 |
4.263 |
3.275 |
3.122 |
3.728 |
3.612 |
4.388 |
3.858 |
4.090 |
3.321 |
3.539 |
|
3.345 |
3.434 |
3.280 |
3.630 |
3.626 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Purdue |
0 |
0.530 |
0.480 |
0.460 |
0.480 |
0.600 |
0.499 |
0.470 |
0.410 |
0.590 |
0.350 |
0.450 |
0.600 |
0.474 |
0.580 |
|
0.459 |
0.480 |
0.483 |
0.528 |
0.505 |
|
|
1 |
0.470 |
0.520 |
0.540 |
0.520 |
0.400 |
0.501 |
0.530 |
0.590 |
0.410 |
0.650 |
0.550 |
0.400 |
0.526 |
0.420 |
|
0.541 |
0.520 |
0.517 |
0.473 |
0.495 |
|
1 |
Score |
4.004 |
3.894 |
3.445 |
3.878 |
4.623 |
3.524 |
3.342 |
3.896 |
3.960 |
4.510 |
4.060 |
4.450 |
3.546 |
3.876 |
|
3.556 |
3.664 |
3.513 |
3.909 |
3.881 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Navy |
0 |
0.430 |
0.400 |
0.720 |
0.470 |
0.700 |
0.320 |
0.420 |
0.350 |
0.410 |
0.050 |
0.400 |
0.250 |
0.333 |
0.680 |
|
0.459 |
0.260 |
0.380 |
0.545 |
0.415 |
|
|
1 |
0.570 |
0.600 |
0.280 |
0.530 |
0.300 |
0.680 |
0.580 |
0.650 |
0.590 |
0.950 |
0.600 |
0.750 |
0.667 |
0.320 |
|
0.541 |
0.740 |
0.620 |
0.455 |
0.585 |
|
1 |
Score |
4.189 |
4.054 |
3.964 |
4.099 |
5.113 |
3.626 |
3.519 |
4.018 |
4.129 |
4.513 |
4.220 |
4.513 |
3.657 |
4.338 |
|
3.766 |
3.731 |
3.657 |
4.206 |
4.053 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
0.630 |
0.740 |
0.710 |
0.560 |
0.350 |
0.780 |
0.690 |
0.700 |
0.710 |
0.000 |
0.850 |
0.900 |
0.736 |
0.550 |
|
0.679 |
0.497 |
0.737 |
0.623 |
0.685 |
|
|
0 |
0.370 |
0.260 |
0.290 |
0.440 |
0.650 |
0.220 |
0.310 |
0.300 |
0.290 |
1.000 |
0.150 |
0.100 |
0.264 |
0.450 |
|
0.321 |
0.503 |
0.263 |
0.378 |
0.315 |
|
1 |
Score |
4.326 |
4.121 |
4.048 |
4.292 |
5.535 |
3.674 |
3.615 |
4.108 |
4.213 |
5.513 |
4.243 |
4.523 |
3.726 |
4.540 |
|
3.869 |
3.985 |
3.727 |
4.348 |
4.153 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
0.570 |
0.320 |
0.370 |
0.480 |
0.400 |
0.430 |
0.420 |
0.500 |
0.410 |
0.100 |
0.550 |
0.100 |
0.437 |
0.650 |
|
0.441 |
0.313 |
0.390 |
0.480 |
0.445 |
|
Virginia
Tech |
0 |
0.430 |
0.680 |
0.630 |
0.520 |
0.600 |
0.570 |
0.580 |
0.500 |
0.590 |
0.900 |
0.450 |
0.900 |
0.563 |
0.350 |
|
0.559 |
0.687 |
0.610 |
0.520 |
0.555 |
|
1 |
Score |
4.511 |
4.584 |
4.445 |
4.563 |
5.895 |
3.999 |
3.951 |
4.358 |
4.561 |
6.323 |
4.445 |
5.333 |
4.043 |
4.663 |
|
4.181 |
4.456 |
4.099 |
4.619 |
4.461 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
0.560 |
0.470 |
0.440 |
0.520 |
0.550 |
0.580 |
0.540 |
0.540 |
0.530 |
0.450 |
0.550 |
0.700 |
0.581 |
0.700 |
|
0.524 |
0.520 |
0.530 |
0.568 |
0.515 |
|
|
0 |
0.440 |
0.530 |
0.560 |
0.480 |
0.450 |
0.420 |
0.460 |
0.460 |
0.470 |
0.550 |
0.450 |
0.300 |
0.419 |
0.300 |
|
0.476 |
0.480 |
0.470 |
0.433 |
|