AFL Mullumby Defender

WELL, round 16 had ean Average Error in the margin of only a 16.4 (very good) we will see for rnd 17

A new area to expand into? Several online pundits have asked how well Mullumby Defender goes with total game score bets. In truth, I don't know. I DO know my predicted scores (and therefore game total) for every game for the previous 5 years. Given time I can pull the actual game totals AND the betting GTL (game total line?) from footywire. Is it possible Mullumby Defender will be even better at game total lines than normal line betting? I suppose it is worth a hard look. tonight  what was the bet tonight? Mullumby Defender predicted 66 to 61 Swans win (which with Swans -15 line would give a winning line bet on the Cats) for a total game score of 127. Actual score 59 to 71 game score of 130. Can I assume that is close enough (-3) that a successful bet could have been laid?

Bear in mind ALL Mullumby Defender predictions are from "PAST" data, but the parameters (for HGA etc. are optimised over 2016, 2017 and 2018 - cheating?). Mullumby Defender MAE for "Defender" (no blowout prediction), and Def Bo (blowout predictions) So how good are the MAE predictions? Well...... 2017 - a MAE of 28.14 is a clear winner by more than a full point. 2018...... still the clear winner, but by only 0.12 (but ALL models more accurate this year) It remains to be seen if the obviously WELL optimised parameters in Mullumby Defender are optimal for the future. Squiggle 2018 after round 15 Squiggle 2017 leaderboard

Below can be seen column after column of the optimisation process used. Initially, ALL parameters zeroed yields a  MAE of 32.4 Then find optimal Blowout and factor (35 and 21%) giving a MAE of 30.25 Zero the Blowout, find optimal "flat" HGA giving a MAE of 31.89 Optimal blowout in, find best "flat HGA (=8) giving MAE of 29.44 Find best individual HGA's with blowout 35, 16% ....... BEST blowout/penalty   Individual HGA and blowout prediction new MAE 27.92

WELL! First 2 line bets right -- then sadness two wrong - very small loss Round 16 FIVE selected bets

Hmm after weekly manually calculating the MAE of all the other Squiggle Models  I have decided to use the 2017 data to predict early 2018 rounds - we will see how well this works.