Sunday, 30/08/2026 at 17:00
Full timeViking FK 2:1 Aalesunds FK
Viking FK were the model's likeliest winner before kick-off at 53%. They won 2–1. The biggest difference was Viking FK's attack: 2.42 xG against 1.90 projected (+0.52). Aalesunds FK produced 0.87 xG against 1.19 projected (−0.32).
Goals
- 4' Uba Charles Aalesunds FK · 0.05 xG chance 0–1
- 73' Simen Kvia-Egeskog Viking FK · 0.02 xG chance 1–1
- 90' Simen Kvia-Egeskog Viking FK · 0.24 xG chance 2–1
The model against the result
- Viking FK
- 53% What happened
- Draw
- 26%
- Aalesunds FK
- 21%
Data coverage Both teams have the full 20-match model window available.
Projected vs produced
Viking FK produced 0.52 xG more than projected
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 22
- 9
- On target
- 6
- 4
- Inside the box
- 17
- 6
- xG per shot
- 0.11
- 0.10
- Open play xG
- 1.23
- 0.86
- Set-piece xG
- 1.16
- 0.00
- Penalties
- —
- —
Shot-level xG may differ from the published match total
The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 2.42 for Viking FK and 0.87 for Aalesunds FK.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
31 shots · 3.25 xG
Hover, focus or tap a shot to read it.
- Viking FK
- Aalesunds FK
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.83 xG created 1.69 xGA
- W 2.16 created, 0.38 conceded against Sandefjord Fotball
- W 0.87 created, 1.35 conceded against Lillestrøm SK
- D 1.70 created, 1.98 conceded against Aalesunds FK
- W 1.57 created, 2.48 conceded against IK Start
- W 2.83 created, 2.57 conceded against Sarpsborg 08
- L 1.86 created, 1.37 conceded against Rosenborg BK
1.58 xG created 2.13 xGA
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Pre-match model & market record
8 opportunities flagged1 won7 lost
- Lost
- Lost
- Lost
- Lost
- Lost
- Lost
- Lost
- Won
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Viking FK not to score | 15.00 | +92.5% | Lost |
| Viking FK at most 1 goal | 4.00 | +65.5% | Lost |
| Aalesunds FK to win | 7.50 | +56.4% | Lost |
| Draw | 5.75 | +49.3% | Lost |
| Under 2.5 goals | 3.60 | +38.8% | Lost |
| Under 1.5 goals | 9.00 | +34.9% | Lost |
| Aalesunds FK 2+ goals | 3.25 | +9.5% | Lost |
| Aalesunds FK to score | 1.44 | +4.4% | Won |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Viking FK | 53.2% | 71.5% | −18.3 pp | 1.88 |
| Draw | 26.0% | 16.2% | +9.8 pp | 3.85 |
| Aalesunds FK | 20.9% | 12.4% | +8.5 pp | 4.80 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Viking FK to score | 87.2% | 93.6% | −6.4 pp | 1.15 |
| Viking FK not to score | 12.8% | 6.4% | +6.4 pp | 7.79 |
| Aalesunds FK to score | 72.3% | 64.5% | +7.8 pp | 1.38 |
| Aalesunds FK not to score | 27.7% | 35.5% | −7.8 pp | 3.61 |
| Both teams to score | 64.4% | 62.5% | +1.9 pp | 1.55 |
| Both teams not to score | 35.6% | 37.5% | −1.9 pp | 2.81 |
| Viking FK 2+ goals | 58.6% | 76.6% | −18.0 pp | 1.71 |
| Viking FK at most 1 goal | 41.4% | 23.4% | +18.0 pp | 2.42 |
| Aalesunds FK 2+ goals | 33.7% | 29.1% | +4.6 pp | 2.97 |
| Aalesunds FK at most 1 goal | 66.3% | 70.9% | −4.6 pp | 1.51 |
| Over 1.5 goals | 85.0% | 89.4% | −4.4 pp | 1.18 |
| Under 1.5 goals | 15.0% | 10.6% | +4.4 pp | 6.67 |
| Over 2.5 goals | 61.4% | 73.7% | −12.2 pp | 1.63 |
| Under 2.5 goals | 38.6% | 26.3% | +12.2 pp | 2.59 |
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)
- Viking FK sample
- 20 matches
- Aalesunds FK sample
- 20 matches
- Computed
- 1 day before kick-off
- Prices taken
- 1 day 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.