Sunday, 30/08/2026 at 17:00
Full timeVålerenga IF 3:4 Molde FK
Molde FK were the model's likeliest winner before kick-off at 42%. They won 4–3. The biggest difference was Vålerenga IF's attack: 1.82 xG against 1.25 projected (+0.57).
Goals
- 11' Eirik Hestad Molde FK · 0.04 xG chance 0–1
- 19' Lucas Haren Vålerenga IF · 0.32 xG chance 1–1
- 21' Mathias Grundetjern Vålerenga IF · 0.06 xG chance 2–1
- 30' Sondre Milian Granaas Molde FK · 0.07 xG chance 2–2
- 40' Jalal Abdullai Molde FK · 0.75 xG chance 2–3
- 45' Carl Lange Vålerenga IF · 0.08 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
- 45' Caleb Zady Sery Molde FK · 0.16 xG chance – Scored in the same minute as another goal, so the score after it is not shown.
The model against the result
- Vålerenga IF
- 28%
- Draw
- 29%
- Molde FK
- 42% What happened
Data coverage Both teams have the full 20-match model window available.
Projected vs produced
Vålerenga IF produced 0.57 xG more than projected
Projected before kick-off Produced on the night
The shots behind it
- Shots
- 20
- 14
- On target
- 5
- 9
- Inside the box
- 13
- 11
- xG per shot
- 0.09
- 0.12
- Open play xG
- 1.37
- 0.95
- Set-piece xG
- 0.34
- 0.75
- 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: 1.70 for Vålerenga IF and 1.73 for Molde FK.
Shot map
Both teams shown attacking the same goal for comparison.
All shots
34 shots · 3.41 xG
Hover, focus or tap a shot to read it.
- Vålerenga IF
- Molde FK
- Filled = goal
- Dot area = xG (the smallest chances drawn at a minimum size)
Recent form
1.80 xG created 1.87 xGA
2.36 xG created 0.74 xGA
xG created xG conceded (xGA) W / D / L: the match result
Head to head
Pre-match model & market record
9 opportunities flagged1 won8 lost
- Lost
- Lost
- Lost
- Lost
- Lost
- Lost
- Lost
- Lost
- Won
View pre-match record Hide pre-match record
| Selection | Price | Edge | Result |
|---|---|---|---|
| Vålerenga IF not to score | 5.50 | +41.9% | Lost |
| Under 2.5 goals | 3.10 | +41.5% | Lost |
| Under 1.5 goals | 7.00 | +33.7% | Lost |
| Vålerenga IF at most 1 goal | 2.00 | +27.8% | Lost |
| Both teams not to score | 3.25 | +23.5% | Lost |
| Molde FK not to score | 6.00 | +12.5% | Lost |
| Draw | 3.80 | +11.9% | Lost |
| Molde FK at most 1 goal | 2.10 | +11.1% | Lost |
| Molde FK to win | 2.40 | +1.8% | Won |
Pre-match model vs market
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Vålerenga IF | 28.1% | 35.9% | −7.8 pp | 3.55 |
| Draw | 29.5% | 24.8% | +4.6 pp | 3.40 |
| Molde FK | 42.4% | 39.3% | +3.1 pp | 2.36 |
Other markets
| Outcome | Model | Market | Difference | Fair odds |
|---|---|---|---|---|
| Vålerenga IF to score | 74.2% | 82.8% | −8.6 pp | 1.35 |
| Vålerenga IF not to score | 25.8% | 17.2% | +8.6 pp | 3.88 |
| Molde FK to score | 81.3% | 84.2% | −3.0 pp | 1.23 |
| Molde FK not to score | 18.7% | 15.8% | +3.0 pp | 5.33 |
| Both teams to score | 62.0% | 70.9% | −8.9 pp | 1.61 |
| Both teams not to score | 38.0% | 29.1% | +8.9 pp | 2.63 |
| Vålerenga IF 2+ goals | 36.1% | 53.7% | −17.5 pp | 2.77 |
| Vålerenga IF at most 1 goal | 63.9% | 46.3% | +17.5 pp | 1.57 |
| Molde FK 2+ goals | 47.1% | 55.7% | −8.7 pp | 2.12 |
| Molde FK at most 1 goal | 52.9% | 44.3% | +8.7 pp | 1.89 |
| Over 1.5 goals | 80.9% | 86.4% | −5.5 pp | 1.24 |
| Under 1.5 goals | 19.1% | 13.6% | +5.5 pp | 5.24 |
| Over 2.5 goals | 54.4% | 69.4% | −15.1 pp | 1.84 |
| Under 2.5 goals | 45.6% | 30.6% | +15.1 pp | 2.19 |
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)
- Vålerenga IF sample
- 20 matches
- Molde 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.