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Expected goals · LOM 1.5 · STL 1.1 · 2.6 total
LOM's attack (0.84x, below the league average) against STL's defence (1.15x, conceding more than average) gives an expected-goals edge of 0.4.
Every square is one final score. Add up the green squares for LOM's win chance, the blue ones for STL's, and the grey diagonal for the draw. Model estimate, not odds.
| LOM goals | STL 0 | STL 1 | STL 2 | STL 3 | STL 4 | STL 5 |
|---|---|---|---|---|---|---|
| LOM 0 | 8% | 7% | 4% | 2% | <1% | <1% |
| LOM 1 | 10% | 13% | 7% | 2% | 1% | <1% |
| LOM 2 | 9% | 9% | 5% | 2% | 1% | <1% |
| LOM 3 | 4% | 5% | 3% | 1% | <1% | <1% |
| LOM 4 | 2% | 2% | 1% | <1% | <1% | <1% |
| LOM 5 | 1% | 1% | <1% | <1% | <1% | <1% |
LOM 47.2% · Draw 26.8% · STL 26.0%
Scores with 6+ goals for either side (0.6%) are counted in the totals but not drawn.
OneTouch call · statistical model, for interest not betting advice
Lommel SK edge this at 47% — expected goals of 1.5 to 1.1 give them the lean.
Single-goal margins account for 38% of outcomes — 1-1 at 13% is the model's best guess.
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
LOM
4-2-3-1Predicted line-up
Unknown · Expected back 30 Nov
Achilles Tendon Injury · Expected back 31 Jan
Knee Injury
Refreshed about every 30 minutes. Return dates are estimates.
recent results, streaks and prior meetings
how each side performs at their ground
STL scores +0.22 more per 90
LOM concedes 0.22 fewer per 90