Monday, 31/08/2026 at 19:00
Full timeIK Sirius 0:1 Malmö FF
IK Sirius were the model's likeliest winner before kick-off at 45%. Malmö FF won 1–0. Both teams produced xG close to their pre-match projections.
The model against the result
- IK Sirius
- 45%
- Draw
- 25%
- Malmö FF
- 30% What happened
Data coverage Both teams have the full 20-match model window available.
Projected vs produced
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 17
- 15
- On target
- 2
- 6
- Inside the box
- 12
- 12
- xG per shot
- 0.10
- 0.12
Recent form
2.52 xG created 1.48 xGA
- W 3.67 created, 2.44 conceded against IF Elfsborg
- W 2.97 created, 1.85 conceded against IFK Göteborg
- W 3.10 created, 0.97 conceded against Halmstads BK
- D 2.16 created, 0.55 conceded against IF Brommapojkarna
- L 2.56 created, 1.51 conceded against Mjällby AIF
- L 0.64 created, 1.57 conceded against BK Häcken
2.02 xG created 1.29 xGA
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Pre-match model & market record
6 opportunities flagged2 won4 lost
- Won
- Lost
- Lost
- Won
- Lost
- Lost
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Malmö FF to win | 3.90 | +17.3% | Won |
| Malmö FF 2+ goals | 2.38 | +16.4% | Lost |
| Both teams to score | 1.50 | +10.0% | Lost |
| Malmö FF to score | 1.29 | +5.8% | Won |
| Over 2.5 goals | 1.48 | +4.3% | Lost |
| Over 1.5 goals | 1.13 | +1.2% | Lost |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| IK Sirius | 44.5% | 52.0% | −7.5 pp | 2.25 |
| Draw | 25.4% | 24.0% | +1.4 pp | 3.94 |
| Malmö FF | 30.1% | 24.0% | +6.1 pp | 3.32 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| IK Sirius to score | 87.6% | 85.4% | +2.2 pp | 1.14 |
| IK Sirius not to score | 12.4% | 14.6% | −2.2 pp | 8.10 |
| Malmö FF to score | 82.3% | 73.1% | +9.1 pp | 1.22 |
| Malmö FF not to score | 17.7% | 26.9% | −9.1 pp | 5.64 |
| Both teams to score | 73.3% | 62.5% | +10.8 pp | 1.36 |
| Both teams not to score | 26.7% | 37.5% | −10.8 pp | 3.75 |
| IK Sirius 2+ goals | 59.6% | 58.9% | +0.7 pp | 1.68 |
| IK Sirius at most 1 goal | 40.4% | 41.1% | −0.7 pp | 2.48 |
| Malmö FF 2+ goals | 49.0% | 39.2% | +9.8 pp | 2.04 |
| Malmö FF at most 1 goal | 51.0% | 60.8% | −9.8 pp | 1.96 |
| Over 1.5 goals | 89.9% | 84.2% | +5.7 pp | 1.11 |
| Under 1.5 goals | 10.1% | 15.8% | −5.7 pp | 9.94 |
| Over 2.5 goals | 70.7% | 63.8% | +6.9 pp | 1.41 |
| Under 2.5 goals | 29.3% | 36.2% | −6.9 pp | 3.41 |
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)
- IK Sirius sample
- 20 matches
- Malmö FF sample
- 20 matches
- Computed
- 8 hours before kick-off
- Prices taken
- 8 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.