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Norway · 1. Division

11 Apr 2026 12:00 UTC

STROEMMEN vs EGERSUND

Final 0:3

Egersund won

Match timeline

1st half

  1. 🟥 Maximilian Balatoni — Stroemmen
  2. ⚽ Oscar Forsmo Kapskarmo — Egersund
  3. ⚽ Chris Sleveland — Egersund

2nd half

  1. ⚽ Pawel Chrupalla — Egersund

Model predictions were

As expected
39%
1X2
Stroemmen
Result: Egersund
Nice call
48%
Both teams to score
No

Chance at least one team fails to score

Result: No
No surprise
30%
Total 1.5
Under

Chance of 1 or fewer goals

Result: Over
No surprise
37%
Total 2.5
Under

Chance of 2 or fewer goals

Result: Over
Solid call
67%
Total 3.5
Under

Chance of 3 or fewer goals

Result: Under
On point
81%
Total 4.5
Under

Chance of 4 or fewer goals

Result: Under
As expected
6%
Score
1:0

Chance of this exact score

Result: 0:3

Model Context Was

Match prediction context

Probability in similar matches 31% (Weak)

How often the predicted 1X2 outcome matched the final result in past matches in this league when the model’s predicted score line had the same home-minus-away goal difference (+1; home goals minus away goals).

Based on 29 past matches with this goal margin in this league.

Draw likelihood 27% (Typical)

Historical draw rate in this league. Low / Typical / High is relative to usual draw frequencies, not model accuracy.

Based on 186 finished matches in this league.

League

Historical model performance in this league before this match date.

Based on 141 completed matches.

1X2 47% (Average)
Both teams to score 60% (Good)
Total 1.5 85% (Strong)
Total 2.5 58% (Good)
Total 3.5 58% (Good)
Total 4.5 67% (Strong)
Score 7% (Weak)

More stats

Teams

This shows how the model performed in matches with these teams.

Based on 17 past matches

Small sample sizes may be less reliable.

1X2 47% (Average)
Both teams to score 47% (Average)
Total 1.5 76% (Strong)
Total 2.5 41% (Weak)
Total 3.5 71% (Strong)
Total 4.5 65% (Good)
Score 6% (Weak)

Markets

This shows how often each type of prediction was correct in this league.

1X2 47% (Average)
113 predictions
Both teams to score 48% (Average)
46 predictions
Total 1.5 31% (Weak)
16 predictions
Total 2.5 36% (Weak)
44 predictions
Total 3.5 67% (Strong)
82 predictions
Total 4.5 82% (Strong)
103 predictions

Match overview

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