Brisbane Lions v Melbourne
Gabba
15.17
107
11.8
74
Match complete
Brisbane Lions won by 33 points
IN
Starcevich
Bailey
Berry
Witherden
Mathieson
Allison
OUT
IN
Hibberd
Wagner
OUT
Tip | Win % | Margin | ✓ | MAE | Bits | |
---|---|---|---|---|---|---|
Aggregate | 64% | 12 points | ✓ | 21.0 | 0.35 | |
78% | 22 points | ✓ | 11.0 | 0.64 | ||
77% | 13 points | ✓ | 20.0 | 0.62 | ||
69% | 24 points | ✓ | 9.4 | 0.46 | ||
67% | 15 points | ✓ | 18.0 | 0.42 | ||
66% | 12 points | ✓ | 20.6 | 0.39 | ||
65% | 12 points | ✓ | 21.0 | 0.38 | ||
63% | 13 points | ✓ | 20.0 | 0.34 | ||
63% | 12 points | ✓ | 21.4 | 0.34 | ||
63% | 13 points | ✓ | 20.3 | 0.33 | ||
62% | 12 points | ✓ | 21.0 | 0.32 | ||
Punters | 62% | 11 points | ✓ | 21.8 | 0.31 | |
61% | 10 points | ✓ | 23.0 | 0.29 | ||
60% | 7 points | ✓ | 25.6 | 0.26 | ||
56% | 8 points | ✓ | 25.0 | 0.16 | ||
55% | 5 points | ✓ | 28.0 | 0.12 | ||
54% | 4 points | ✓ | 29.4 | 0.10 |
"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, the average difference between predicted and actual margins. Lower is better.
Drawn games are counted as correct tips.