Stat correlation to Player Rating (by position)

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Engimal v3

Oppa gangnam style
Sep 21, 2017
7,460
14,474
AFL Club
North Melbourne
Other Teams
Tasmania
Put together a quick tool to show how well each Champion Data stat correlates to ranking points. Essentially the higher the number, the more the statistic correlates to a higher Player Rating (e.g. for KEY_DEFENDER (below) a player's average marks statistic correlates the most with a higher Player Rating, followed by effective disposal, etc.)

Slightly flawed premise (based on what we know of Player Ratings focusing on recent games, whereas my stat averages are calulated on the season to date), but still interesting.

KEY_DEFENDER:
marks_AVE: 0.75532
effectiveDisposals_AVE: 0.75376
effectiveKicks_AVE: 0.74243
interceptMarks_AVE: 0.73062
contestedMarks_AVE: 0.72927
-- -- -- -- --
KEY_FORWARD:
scoreInvolvements_AVE: 0.74625
effectiveKicks_AVE: 0.72319
disposals_AVE: 0.7175
kicks_AVE: 0.71574
effectiveDisposals_AVE: 0.71485
-- -- -- -- --
MEDIUM_FORWARD:
metresGained_AVE: 0.72903
kicks_AVE: 0.71746
scoreInvolvements_AVE: 0.71674
effectiveKicks_AVE: 0.70711
totalPossessions_AVE: 0.7015
-- -- -- -- --
MIDFIELDER:
scoreInvolvements_AVE: 0.8709
disposals_AVE: 0.86796
totalPossessions_AVE: 0.86784
contestedPossessions_AVE: 0.85843
effectiveDisposals_AVE: 0.85088
-- -- -- -- --
MIDFIELDER_FORWARD:
scoreInvolvements_AVE: 0.84844
disposals_AVE: 0.84687
totalPossessions_AVE: 0.84434
contestedPossessions_AVE: 0.83912
kicks_AVE: 0.83508
-- -- -- -- --
MEDIUM_DEFENDER:
effectiveDisposals_AVE: 0.81287
disposals_AVE: 0.80824
kicks_AVE: 0.80691
effectiveKicks_AVE: 0.80285
metresGained_AVE: 0.80024
-- -- -- -- --
RUCK:
hitoutsToAdvantage_AVE: 0.81664
contestedPossessions_AVE: 0.79846
kicks_AVE: 0.78676
disposals_AVE: 0.78566
totalPossessions_AVE: 0.78106
 

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