Computer Ranking - Pythagorean Scoring Poll (PYTH)
After week 12
RK Prv TEAM Opp1 Opp2 Opp3 Opp4 Opp5 Opp6 Opp7 Opp8 Opp9 Opp10 Opp11 Opp12 PYTH Proj
W
Proj
L
1 1 UO 0.894 0.907 0.696 1.007 0.433 0.627 0.923 0.708 0.854 0.824 0.911 0.464 0.7705 9 3 2 2 BSU 0.855 0.979 0.595 0.632 0.788 0.705 0.762 0.889 0.786 0.599 0.899 0.721 0.7675 9 3 3 3 IOWA 0.321 0.979 0.928 0.966 0.802 1.058 0.985 0.607 0.447 0.315 0.783 0.993 0.7653 9 3 4 5 MICH 0.896 0.704 0.855 0.201 0.815 0.844 1.050 0.470 0.432 0.467 0.907 0.772 0.7011 8 4 5 4 NCST 0.845 0.703 0.985 0.849 0.573 0.494 0.664 0.400 0.954 0.598 0.776 0.039 0.6567 8 4 6 6 FLA 0.911 0.123 0.323 0.928 0.664 0.814 0.633 0.392 0.651 0.605 0.904 0.817 0.6471 8 4 7 7 ARK 0.602 1.007 0.409 0.786 0.411 0.315 0.779 0.836 0.654 0.634 0.308 0.717 0.6215 7 5 8 9 MIZZ 0.259 0.041 0.695 0.751 0.308 0.706 0.811 0.650 0.616 0.552 0.659 0.754 0.5667 7 5 9 8 LSU 1.029 0.847 0.543 0.840 0.706 0.299 0.321 0.677 0.205 0.215 0.765 0.327 0.5643 7 5 10 12 MSU 0.797 0.930 0.840 0.472 0.227 0.428 0.061 0.440 0.471 0.496 0.667 0.859 0.5572 7 5 11 11 TEX 0.400 0.747 0.538 0.376 0.096 0.898 0.677 0.372 0.596 0.431 0.740 0.704 0.5481 7 5 12 14 UofA 0.791 0.847 0.063 0.191 0.683 0.774 0.315 0.302 0.772 0.435 0.370 0.776 0.5265 6 6 13 16 VT 0.006 1.014 0.320 0.837 0.716 0.644 0.207 0.653 0.404 0.505 0.129 0.859 0.5245 6 6 14 15 USC 0.780 0.119 0.720 0.300 0.564 0.393 0.141 0.736 0.803 0.579 0.384 0.713 0.5193 6 6 15 10 OSU 0.632 0.600 0.308 0.751 0.818 0.022 0.866 0.617 0.295 0.828 0.177 0.297 0.5177 6 6 16 13 NEB 0.670 0.816 0.100 0.656 0.267 0.632 0.035 0.670 0.331 0.762 0.924 0.098 0.4968 6 6 17 20 OKLA 0.821 0.267 0.640 0.215 0.901 0.261 0.390 0.819 0.618 0.026 0.015 0.900 0.4893 6 6 18 21 MIA 0.104 0.000 0.749 0.046 0.459 0.726 0.822 0.808 0.390 0.710 0.112 0.715 0.4700 6 6 19 19 AUB 0.200 0.650 0.475 0.735 0.294 0.190 0.224 0.847 0.034 0.865 0.494 0.584 0.4661 6 6 20 17 TAMU 0.788 0.031 0.476 0.000 0.732 0.829 0.575 0.019 0.617 0.396 0.814 0.302 0.4649 6 6 21 18 TENN 0.301 0.734 0.421 0.222 0.749 0.704 0.676 0.085 0.900 0.269 0.173 0.129 0.4468 5 7 22 22 FSU 0.375 0.027 0.000 0.000 0.767 0.317 0.303 0.806 0.788 0.912 0.124 0.231 0.3876 5 7 23 23 OKST 0.077 0.114 0.963 0.578 0.314 0.015 0.117 0.986 0.012 0.366 0.451 0.012 0.3337 4 8 24 24 TCU 0.008 0.273 0.788 0.698 0.593 0.079 0.248 0.084 0.186 0.830 0.000 0.171 0.3297 4 8 25 28 UNC 0.388 0.083 0.193 0.881 0.115 0.100 0.380 0.000 0.261 0.059 0.052 1.013 0.2937 4 8 26 25 ASU 0.000 0.056 0.237 0.013 0.389 0.353 0.695 0.010 0.291 0.648 0.551 0.138 0.2818 3 9 27 26 WISC 0.446 0.028 0.686 0.306 0.088 0.031 0.005 0.250 0.707 0.005 0.328 0.013 0.2410 3 9 28 27 ND 0.008 0.327 0.007 0.145 0.101 0.454 0.450 0.062 0.472 0.032 0.582 0.002 0.2202 3 9 29 29 BAMA 0.022 0.169 0.000 0.004 0.101 0.667 0.269 0.005 0.047 0.499 0.228 0.300 0.1927 2 10 30 30 UCLA 0.000 0.052 0.000 0.003 0.000 0.019 0.106 0.120 0.000 0.101 0.008 0.100 0.0424 1 11
Pythagorean Scoring Poll (PYTH): This poll ranks each team by applying the Pythagorean formula to their Points For (PF) and Points Allowed (PA). For football, statistic experts have found that an exponent of 2.37 seems to work best for predicting expected record for college football. So the Pythagorean Theorem for football looks like this: PF^2.37 / (PF^2.37 + PA^2.37).
- Some would argue that blowouts, especially extreme blowouts can artificially inflate or deflate a team's Pythagorean score depending on whether or not they received or doled out the beating. The solution for this margin of victory issue? The Pythagorean percentage is computed on a game by game basis, then each week's score is added together and divided by games played. This way each game is counted the same and the effect of blowouts is lessened.
- The initial Pythagorean score is also weighed against your team's Strength of Schedule (SOS) rating to take into account that it may be inflated or deflated based on your opponents. The way this works is your SOS is compared to a .500 SOS to determine your SOS weight % (e.g. if you have an SOS of .600, your weight % would be 110%, thus slightly increasing your Pythagorean score).
The great thing about this poll is that it encourages teams to play their best throughout the season. Teams that slack off at the end of the season could potentially end up hurting their Computer ranking. It also can project each team's final W/L record.