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Expected goals · MOD 1.6 · PAD 0.8 · 2.4 total
MOD's attack (1.03x the league average) against PAD's defence (1.05x, conceding more than average) gives an expected-goals edge of 0.8.
Every square is one final score. Add up the green squares for MOD's win chance, the blue ones for PAD's, and the grey diagonal for the draw. Model estimate, not odds.
| MOD goals | PAD 0 | PAD 1 | PAD 2 | PAD 3 | PAD 4 | PAD 5 |
|---|---|---|---|---|---|---|
| MOD 0 | 10% | 7% | 3% | 1% | <1% | <1% |
| MOD 1 | 13% | 13% | 5% | 1% | <1% | <1% |
| MOD 2 | 11% | 9% | 4% | 1% | <1% | <1% |
| MOD 3 | 6% | 5% | 2% | 1% | <1% | <1% |
| MOD 4 | 2% | 2% | 1% | <1% | <1% | <1% |
| MOD 5 | 1% | 1% | <1% | <1% | <1% | <1% |
MOD 53.2% · Draw 27.0% · PAD 19.9%
Scores with 6+ goals for either side (0.5%) are counted in the totals but not drawn.
OneTouch call · statistical model, for interest not betting advice
Modena edge this at 53% — expected goals of 1.6 to 0.9 give them the lean.
BTTS at 46% suggests both attacks will find the net — 1-0 at 13% sits at the top of the scoreline distribution.
The model uses league form only — it doesn't weight head-to-head history, recent injuries, or tactical changes that may shift the balance.
predicted XI, manager & bench depth
Predicted line-up
recent results, streaks and prior meetings
how each side performs at their ground
MOD scores +0.29 more per 90
MOD concedes 0.25 fewer per 90