LEADERBOARD

Final standings for 2022 after 207 games.

Tips Bits MAE Correct
PlusSixOne

5 6 7 6 7 8 5 7 7 6 8 5 5 5 8 6 7 6 8 8 5 9 7 3 1 2 1

158 31.20 25.75 76.3%
s10

5 6 8 6 6 8 5 7 6 7 7 4 5 4 8 6 7 7 8 8 5 8 8 3 1 2 1

156 40.07 24.53 75.4%
Live Ladders

5 6 7 6 6 7 6 7 6 7 7 4 5 5 7 6 7 7 8 8 6 8 8 2 1 2 1

155 42.62 24.69 74.9%
Massey Ratings

5 6 6 6 7 8 5 7 7 6 8 3 5 5 8 6 6 7 8 6 6 9 7 3 1 2 1

154 38.28 25.11 74.4%
AFLalytics

4 6 6 6 6 8 6 7 7 6 7 4 5 5 8 6 7 7 8 6 6 8 7 3 1 2 1

153 42.55 24.32 73.9%
The Cruncher

6 6 7 7 5 7 6 7 6 6 6 4 5 5 8 6 6 7 8 7 5 8 8 3 1 2 1

153 34.14 25.74 73.9%
AFL Lab

4 6 7 5 6 8 7 8 6 6 7 3 5 5 8 7 6 5 8 8 4 8 8 3 1 2 1

152 40.45 24.99 73.4%
Aggregate

5 5 7 6 6 8 5 7 6 6 7 3 5 4 8 6 7 7 8 8 5 8 8 3 1 2 1

152 39.36 24.52 73.4%
Squiggle

5 4 7 6 7 8 5 6 6 7 7 5 5 4 8 6 8 6 8 7 4 8 7 3 1 2 1

151 41.22 24.69 72.9%
Graft

5 6 6 6 6 8 5 7 6 6 7 4 5 5 8 6 7 7 7 6 5 8 8 3 1 2 1

151 34.68 25.18 72.9%
FMI

5 6 7 6 5 6 6 7 6 6 6 4 5 5 8 7 7 7 7 6 6 9 7 3 1 2 1

151 31.66 25.50 72.9%
Data by Josh

5 6 7 5 7 8 5 8 6 6 7 3 5 5 7 6 7 5 8 8 4 8 8 2 1 2 1

150 42.14 24.17 72.5%
The Footycast

4 6 7 5 6 8 5 7 6 7 7 3 5 4 7 6 7 6 9 7 5 8 8 3 1 2 1

150 37.28 24.51 72.5%
Hyperion

5 6 7 5 6 7 5 7 6 6 7 4 5 5 8 6 5 7 8 7 5 8 8 3 1 2 1

150 35.20 25.26 72.5%
Drop Kick Data

4 6 7 6 6 8 5 7 6 6 7 3 5 4 8 6 7 7 8 6 5 8 8 3 1 2 1

150 33.81 25.25 72.5%
Glicko Ratings

4 5 7 5 6 7 5 7 6 7 7 4 5 5 8 6 7 7 8 7 4 7 8 3 1 2 1

149 35.17 25.49 72.0%
Punters

6 5 7 5 7 8 5 6 6 6 7 3 5 4 7 6 6 7 8 8 4 8 8 2 1 2 1

148 42.46 24.15 71.5%
Matter of Stats

4 5 6 5 7 8 5 6 6 6 6 4 5 4 7 6 8 7 8 7 5 8 8 3 1 2 1

148 42.33 24.28 71.5%
Elo Predicts!

6 4 6 4 6 8 5 7 6 6 6 5 5 4 8 6 6 6 8 7 6 8 8 4 0 2 1

148 35.51 25.31 71.5%
The Flag

6 6 6 4 7 8 6 7 7 7 7 4 4 4 6 6 7 6 8 5 4 9 7 3 1 2 1

148 33.60 25.34 71.5%
The Wooden Finger

5 6 7 6 5 8 5 7 6 6 6 3 5 5 7 7 6 7 8 7 4 8 7 3 1 2 1

148 32.31 25.87 71.5%
Wheelo Ratings

5 4 6 4 6 8 6 6 6 6 8 3 5 4 8 6 7 7 8 8 5 8 7 2 1 2 1

147 43.78 24.13 71.0%
AFL Scorigami

5 7 7 6 6 8 5 7 7 6 7 3 5 4 7 6 6 8 7 6 4 8 7 1 1 2 1

147 34.95 25.39 71.0%
Stattraction

6 5 6 4 6 8 8 6 7 6 6 4 4 4 7 7 5 7 8 6 5 9 7 3 0 2 1

147 29.50 25.59 71.0%
Cheap Stats

6 5 6 4 6 8 5 7 7 6 7 3 5 4 7 6 6 6 8 7 5 8 8 2 1 2 1

146 39.78 25.02 70.5%
ZaphBot

5 5 6 4 7 7 5 7 5 6 8 2 3 3 8 5 8 8 8 7 5 8 6 3 1 2 1

143 31.24 25.90 69.1%

"Tips" is the number of correct tips. Draws are counted as correct.

"Bits" from Monash University Probabilistic Footy Tipping rewards tipsters for saying a win was more likely and punishes them for saying it was unlikely. Higher is better.

"MAE" is Mean Absolute Error, which is the average difference between predicted and actual margins. Lower is better.

"Correct" is the percentage of correct tips, i.e. "Tips" divided by the total number of tips provided (which is normally also the number of games played, assuming the model tips all games).

[+] Bits, MAE, Tips... which is best?

Tips is what most people care about: How many winners did you pick? So it's the primary variable for the Squiggle leaderboard. But there's a fair bit of luck involved in tipping 50/50 games, so it's hard to know whether a high Tips score is due to skill or good fortune.

Bits are earned by confident correct tips, lost by confident incorrect tips, and not much happens either way for fence-sitting 50/50 tips. The added dimension of "confidence" means Bits are less influenced by luck, so high scores are likely to indicate models that are good performers over the long-term.

MAE (or Mean Absolute Error) measures how far, on average, margin tips are from the actual margin. (Lower MAE scores are better.) It's hard to fluke a good MAE, because your tips have to be consistently close to the real margins, and therefore it's probably the best of the three metrics at measuring a model's underlying forecasting skill. However, it doesn't measure whether anyone is getting the winners right, which means it's not directly tracking the most important factor.

By Round

By Team

Adelaide Adelaide Adelaide Brisbane Lions Brisbane Lions Brisbane Lions Carlton Carlton Carlton Collingwood Collingwood Collingwood Essendon Essendon Essendon Fremantle Fremantle Fremantle Geelong Geelong Geelong Gold Coast Gold Coast Gold Coast Greater Western Sydney Greater Western Sydney Greater Western Sydney Hawthorn Hawthorn Hawthorn Melbourne Melbourne Melbourne North Melbourne North Melbourne North Melbourne Port Adelaide Port Adelaide Port Adelaide Richmond Richmond Richmond St Kilda St Kilda St Kilda Sydney Sydney Sydney West Coast West Coast West Coast Western Bulldogs Western Bulldogs Western Bulldogs
PlusSixOne 77% 4.4 20.3 80% 3.5 26.2 73% 2.9 20.3 72% 1.9 16.4 68% 1.9 28.9 54% 0.3 26.1 88% 6.0 27.9 73% 2.8 26.7 95% 5.3 27.5 73% 2.7 24.2 67% 1.7 27.4 95% 8.5 35.2 82% 3.2 24.8 83% 2.6 23.7 64% 1.8 23.1 72% 3.4 26.2 82% 6.5 34.7 78% 2.9 24.8
s10 73% 5.3 19.3 80% 5.0 23.6 68% 3.2 20.1 72% 2.8 17.4 64% 1.8 29.2 58% -0.4 27.1 84% 7.1 25.8 77% 4.8 25.0 86% 6.8 26.0 82% 3.7 24.7 67% 2.4 25.8 95% 11.5 29.9 73% 4.0 23.9 78% 1.9 23.8 68% 3.8 19.9 72% 3.9 26.0 86% 9.1 31.0 74% 3.6 23.4
Live Ladders 73% 5.2 21.2 76% 4.3 24.9 73% 4.2 18.6 72% 3.4 18.7 64% 0.9 30.8 62% 0.6 25.9 76% 7.1 26.6 86% 5.2 24.4 86% 6.6 27.1 73% 4.4 24.6 67% 3.3 25.0 95% 11.1 31.3 82% 4.7 23.0 70% 2.6 23.0 68% 3.7 20.2 72% 4.5 25.0 86% 10.1 30.7 70% 3.4 23.8
Massey Ratings 73% 5.9 19.0 68% 3.9 25.9 77% 2.8 21.0 60% 1.1 18.5 77% 1.7 28.3 54% -0.1 26.4 80% 7.2 28.6 77% 4.5 25.1 91% 6.8 26.3 77% 4.1 24.0 67% 2.6 25.5 95% 11.3 31.2 77% 3.7 24.8 78% 2.1 23.1 68% 3.0 21.1 68% 3.4 26.4 82% 9.3 32.5 74% 3.4 24.4
AFLalytics 77% 5.4 19.2 80% 5.9 23.4 59% 3.3 20.4 68% 2.8 17.3 68% 3.0 27.7 54% -2.1 28.8 84% 7.6 23.4 86% 5.2 24.6 86% 7.7 25.4 68% 4.6 23.8 62% 1.3 26.7 95% 12.4 28.1 82% 5.3 23.8 83% 2.1 23.8 64% 4.4 19.3 64% 4.0 26.8 77% 8.4 32.3 74% 3.9 23.2
The Cruncher 77% 4.1 22.2 76% 4.3 25.7 64% 2.0 21.5 68% 2.2 17.3 64% 2.0 29.3 58% -0.2 26.6 84% 6.5 27.2 73% 3.9 26.9 91% 7.2 25.8 73% 2.8 24.9 58% 1.4 27.5 91% 10.0 32.1 77% 2.8 26.1 78% 1.8 24.7 77% 3.8 21.1 68% 3.4 26.4 82% 8.0 33.4 74% 2.4 25.4
AFL Lab 64% 3.6 22.6 76% 6.2 23.3 73% 4.4 19.3 64% 2.7 17.9 68% 1.9 28.4 54% -0.8 27.1 76% 5.9 28.5 68% 5.2 26.4 86% 7.6 25.4 77% 3.6 25.7 62% 1.3 26.1 95% 11.2 30.9 82% 5.2 23.1 83% 3.0 23.8 73% 3.9 20.7 76% 2.9 26.3 77% 8.3 32.1 70% 4.8 22.4
Aggregate 73% 5.4 19.0 76% 4.8 24.0 59% 2.6 20.6 72% 2.5 17.6 64% 1.7 29.2 54% -0.7 27.3 84% 7.3 25.7 77% 4.7 24.9 82% 6.9 26.0 77% 3.6 24.7 67% 2.5 25.7 95% 11.4 29.7 73% 3.8 23.9 74% 1.8 23.7 68% 3.9 19.5 68% 3.7 26.1 86% 9.3 30.6 74% 3.5 23.5
Squiggle 73% 5.3 20.2 80% 5.7 22.8 68% 3.9 18.8 72% 3.1 19.0 59% 1.7 30.0 54% -0.3 28.1 76% 7.5 25.0 73% 5.2 25.2 73% 6.0 25.3 77% 4.0 26.2 62% 2.7 26.4 95% 11.8 26.6 73% 4.6 23.3 74% 0.8 27.2 73% 3.0 20.4 68% 3.0 28.8 86% 9.9 29.8 78% 4.5 21.4
Graft 73% 4.9 19.7 72% 4.4 24.7 64% 2.6 20.2 68% 2.8 17.6 59% 1.5 29.9 50% -1.3 27.3 88% 6.8 26.6 82% 4.2 25.0 86% 6.5 26.5 73% 2.7 24.8 62% 1.5 27.0 95% 10.6 31.6 77% 2.3 25.8 70% 1.3 23.8 59% 2.8 21.2 72% 4.6 25.3 86% 8.5 32.0 78% 2.5 24.7
FMI 73% 4.9 19.5 76% 5.5 23.4 59% 0.9 21.8 60% 0.6 20.2 64% 1.2 30.2 58% -3.7 30.3 80% 6.0 26.2 73% 5.0 26.0 82% 7.6 24.7 73% 2.4 25.2 67% 1.2 28.5 95% 11.6 30.3 68% 1.5 26.1 74% 2.2 26.1 73% 3.7 18.8 76% 2.3 27.3 86% 7.9 30.4 78% 2.4 23.9
Data by Josh 73% 4.0 20.3 64% 5.0 23.3 59% 2.0 21.1 72% 4.7 18.4 64% 0.7 30.1 54% -1.9 29.1 80% 7.5 23.6 68% 5.1 24.0 77% 7.2 25.0 77% 4.5 25.8 67% 3.6 25.7 95% 11.3 28.5 77% 3.9 24.3 74% 0.7 24.0 77% 6.0 17.5 72% 4.5 26.8 82% 10.9 26.5 74% 4.5 21.2
The Footycast 73% 5.4 18.5 76% 3.5 25.7 64% 2.5 20.2 72% 2.4 18.3 64% 2.1 28.3 54% -0.2 26.7 80% 7.3 24.0 68% 3.3 26.6 82% 6.1 26.6 68% 2.9 24.9 67% 3.3 24.7 95% 11.0 29.3 73% 3.4 24.5 70% 2.8 22.9 68% 2.8 20.3 68% 3.4 26.1 86% 9.1 31.0 78% 3.6 22.9
Hyperion 77% 5.1 20.4 72% 4.6 24.6 59% 2.2 22.0 68% 2.2 19.1 59% 1.6 29.3 58% -1.7 28.0 84% 8.0 23.9 73% 4.7 24.5 82% 6.4 26.3 73% 3.1 24.8 62% 2.3 26.9 95% 11.4 29.5 77% 3.5 25.4 70% 1.1 26.2 64% 2.3 21.2 68% 2.8 27.4 86% 8.0 31.1 78% 2.8 24.5
Drop Kick Data 73% 5.4 19.6 72% 3.8 26.0 59% 1.4 22.8 68% 1.7 18.4 59% 0.7 30.5 58% -1.8 27.5 80% 7.4 25.2 77% 4.3 25.4 82% 5.7 27.5 77% 3.5 23.9 67% 2.0 26.2 95% 10.5 32.1 68% 2.5 25.2 70% 2.0 23.2 73% 3.2 20.2 68% 3.8 26.2 86% 8.7 30.9 74% 2.6 24.5
Glicko Ratings 77% 5.3 19.5 72% 3.3 26.4 64% 2.4 21.3 68% 2.2 17.5 59% 1.7 29.3 54% -0.7 26.5 84% 7.6 25.9 73% 3.9 26.9 73% 6.3 27.0 73% 2.6 25.4 62% 2.4 25.9 95% 11.2 31.9 73% 2.2 26.6 74% 1.6 25.4 64% 3.1 21.4 72% 4.0 25.7 86% 8.6 31.8 74% 2.6 25.2
Punters 73% 5.6 18.0 68% 5.9 22.3 59% 2.7 21.8 72% 2.9 17.4 68% 2.1 27.5 50% -1.0 28.5 72% 7.3 25.4 77% 5.3 23.9 77% 7.3 26.1 77% 3.9 25.8 62% 1.8 25.1 95% 12.9 28.2 73% 4.6 24.6 70% 1.5 22.3 68% 4.4 19.5 68% 2.8 27.7 86% 10.6 28.7 74% 4.4 22.2
Matter of Stats 77% 6.0 17.9 80% 5.1 23.1 55% 3.2 19.7 68% 2.0 19.2 64% 1.5 29.0 50% -0.7 27.7 84% 7.5 25.0 73% 5.3 23.9 77% 6.7 26.1 68% 4.6 23.8 62% 2.1 26.9 95% 12.7 28.3 73% 4.5 23.9 74% 0.8 25.2 68% 5.3 18.2 64% 3.8 27.8 82% 10.1 28.4 74% 4.3 22.7
Elo Predicts! 77% 5.0 22.8 76% 0.8 26.0 59% 2.2 22.7 68% 2.7 17.9 64% 0.6 31.3 54% -1.0 25.1 76% 7.6 27.9 68% 5.1 26.0 82% 8.8 25.9 73% 1.1 25.7 62% 1.1 23.4 91% 9.6 31.4 73% 5.2 24.5 74% 1.4 23.2 73% 4.0 21.6 64% 2.5 26.1 82% 10.8 31.1 74% 3.5 23.9
The Flag 77% 4.5 22.0 72% 4.0 25.0 64% 2.3 19.6 64% 1.2 22.3 68% 1.0 28.0 62% -2.1 27.7 76% 8.6 23.4 64% 2.7 26.0 91% 9.0 24.2 68% 3.0 26.3 62% 2.4 27.8 95% 12.2 28.3 68% 1.2 26.9 65% -1.4 26.7 68% 3.0 19.6 68% 3.3 27.6 86% 10.2 31.4 70% 2.4 23.3
The Wooden Finger 73% 5.4 20.0 72% 4.2 24.4 59% 0.8 21.6 68% 1.7 19.4 64% -0.8 32.4 54% -3.1 29.8 72% 7.1 25.7 73% 4.4 27.7 82% 6.9 25.5 68% 2.2 25.5 58% 1.4 29.3 95% 11.4 30.3 73% 3.3 25.6 70% 0.2 26.4 77% 3.9 19.5 72% 2.4 28.3 86% 11.0 29.4 74% 2.2 25.1
Wheelo Ratings 77% 4.8 19.8 68% 6.5 22.6 59% 3.0 20.4 72% 2.7 17.4 64% 2.9 27.1 50% -1.7 28.5 72% 7.2 25.3 77% 5.6 23.9 82% 7.1 26.7 73% 4.5 24.2 67% 3.4 25.2 95% 12.7 28.6 73% 5.6 23.2 70% 1.7 23.0 64% 5.5 18.2 64% 3.5 27.2 82% 9.1 30.3 74% 3.4 22.9
AFL Scorigami 73% 5.6 19.1 60% 3.0 26.7 68% 2.1 22.5 60% 0.9 18.0 59% 0.4 30.2 54% -0.1 27.1 80% 7.2 27.7 73% 4.0 25.1 91% 6.4 27.5 77% 4.1 23.3 62% 2.1 26.3 95% 10.4 32.0 68% 3.3 24.6 65% 2.1 23.4 73% 3.3 20.7 72% 4.2 24.5 82% 8.3 33.4 70% 2.7 25.4
Stattraction 77% 4.8 20.9 72% 3.5 25.1 50% 0.4 23.2 60% 1.3 18.3 68% 0.0 29.5 67% -0.5 27.6 80% 6.8 27.7 59% 3.1 25.7 86% 5.0 26.6 68% 2.4 25.5 62% 2.1 27.3 91% 9.9 29.1 68% 1.8 25.8 57% -0.3 26.3 82% 5.2 18.1 72% 3.1 26.0 82% 7.4 34.9 78% 2.8 23.7
Cheap Stats 77% 6.7 18.9 68% 4.9 23.8 64% 2.3 22.5 72% 2.8 19.0 59% 2.1 29.5 54% 0.4 28.4 80% 8.1 24.8 64% 3.1 26.5 82% 6.2 25.6 73% 3.7 25.6 62% 3.2 25.6 95% 11.5 29.0 77% 4.6 25.0 61% -0.3 25.3 64% 3.3 19.3 64% 3.3 27.5 86% 9.6 32.7 70% 4.0 22.0
ZaphBot 77% 4.9 19.0 72% 4.1 24.2 59% 1.8 22.2 60% 1.4 18.4 59% 0.6 31.5 50% -1.5 28.1 72% 5.2 29.6 77% 4.4 26.9 73% 5.6 26.7 64% 2.8 25.5 71% 2.8 25.2 95% 10.4 32.2 64% 2.2 26.6 74% 2.1 24.3 68% 3.0 21.3 64% 2.8 27.0 82% 8.1 31.9 65% 1.8 26.4