Saturday, 19/09/2026 at 15:00
Full timeVästerås SK 2:0 Malmö FF
Malmö FF were the model's likeliest winner before kick-off at 40%. Västerås SK won 2–0. The biggest difference was Västerås SK's attack: 0.71 xG against 1.70 projected (−0.99). Malmö FF produced 2.82 xG against 1.85 projected (+0.97).
The model against the result
- Västerås SK
- 34% What happened
- Draw
- 26%
- Malmö FF
- 40%
Data coverage Both teams have at least 10 matches in the model window, but at least one has fewer than the full 20.
Projected vs produced
Västerås SK produced 0.99 xG less than projected
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 10
- 22
- On target
- 4
- 4
- Inside the box
- 6
- 15
- xG per shot
- 0.07
- 0.13
Recent form
1.65 xG created 2.05 xGA
2.04 xG created 1.29 xGA
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Pre-match model & market record
4 opportunities flagged2 won2 lost
- Lost
- Lost
- Won
- Won
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Over 2.5 goals | 1.70 | +21.0% | Lost |
| Both teams to score | 1.57 | +16.5% | Lost |
| Västerås SK to win | 3.30 | +12.5% | Won |
| Over 1.5 goals | 1.20 | +8.3% | Won |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Västerås SK | 34.1% | 28.7% | +5.4 pp | 2.93 |
| Draw | 25.7% | 26.3% | −0.6 pp | 3.90 |
| Malmö FF | 40.2% | 45.1% | −4.8 pp | 2.48 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Both teams to score | 74.2% | 58.9% | +15.3 pp | 1.35 |
| Both teams not to score | 25.8% | 41.1% | −15.3 pp | 3.87 |
| Over 1.5 goals | 90.2% | 78.3% | +11.9 pp | 1.11 |
| Under 1.5 goals | 9.8% | 21.7% | −11.9 pp | 10.23 |
| Over 2.5 goals | 71.2% | 55.3% | +15.9 pp | 1.40 |
| Under 2.5 goals | 28.8% | 44.7% | −15.9 pp | 3.47 |
Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.
Model details
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- Fit window
- the last 20 matches, recency weighted (a match 107 days old counts half)
- Västerås SK sample
- 18 matches
- Malmö FF sample
- 20 matches
- Computed
- 6 hours before kick-off
- Prices taken
- 6 hours before kick-off
Limitations
The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.