freshly_shorn
Footballguy
Inspired by the contentious 'Why do rankings use average for consensus" thread. I decided to try small experiment on the affect of the sorting the rankings by mean/alphabetical and median/alphabetical. The alphabetical sort was used only where average or median were tied.
I used the overall rankings provided today, and used the fantasy points forecast by Dodds to provide fantasy points. I assumed a 12 team, sepentine draft of seven rounds (84 players). No kickers or TD/IDP were included. No regard was given to positional need- best player was taken. I summed the FP value of each drafter's picks.. here are the results (negative difference favors median, positive difference favors average):
Average Median Diff % Diff
Player 1 1413.8 1374.9 38.9 3%
Player 2 1325.1 1321.4 3.7 0%
Player 3 1235.7 1314.4 -78.7 -6%
Player 4 1366.1 1198.5 167.6 12%
Player 5 1071.1 1191.8 -120.7 -11%
Player 6 1297.6 1082.5 215.1 17%
Player 7 1150.5 1159.7 -9.2 -1%
Player 8 1112.1 1485.1 -373 -34%
Player 9 952.2 953.5 -1.3 0%
Player 10 1353.9 1189 164.9 12%
Player 11 1180.2 1210.8 -30.6 -3%
Player 12 1073.6 1122.4 -48.8 -5%
Mean -6.01 -1%
1210.991667 Teams built off average rankings
1217 Team Based on Median rankings
So, as you can see, there is a small difference between the two overall, but there are big swings from team to team. This experiment would have to be repeated and applied to historical rankings/projections.. which I don't have access to at FBG. But it *may* be worth exploring, based on this result.
I used the overall rankings provided today, and used the fantasy points forecast by Dodds to provide fantasy points. I assumed a 12 team, sepentine draft of seven rounds (84 players). No kickers or TD/IDP were included. No regard was given to positional need- best player was taken. I summed the FP value of each drafter's picks.. here are the results (negative difference favors median, positive difference favors average):
Average Median Diff % Diff
Player 1 1413.8 1374.9 38.9 3%
Player 2 1325.1 1321.4 3.7 0%
Player 3 1235.7 1314.4 -78.7 -6%
Player 4 1366.1 1198.5 167.6 12%
Player 5 1071.1 1191.8 -120.7 -11%
Player 6 1297.6 1082.5 215.1 17%
Player 7 1150.5 1159.7 -9.2 -1%
Player 8 1112.1 1485.1 -373 -34%
Player 9 952.2 953.5 -1.3 0%
Player 10 1353.9 1189 164.9 12%
Player 11 1180.2 1210.8 -30.6 -3%
Player 12 1073.6 1122.4 -48.8 -5%
Mean -6.01 -1%
1210.991667 Teams built off average rankings
1217 Team Based on Median rankings
So, as you can see, there is a small difference between the two overall, but there are big swings from team to team. This experiment would have to be repeated and applied to historical rankings/projections.. which I don't have access to at FBG. But it *may* be worth exploring, based on this result.
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