Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Team trends
Skreia
Kongsvinger
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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The table before the match ▾
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Aalesund
|
1 | 1 | 0 | 0 | +13 | 3 |
| 2 |
Sogndal
|
1 | 1 | 0 | 0 | +8 | 3 |
| 3 |
Asker
|
1 | 1 | 0 | 0 | +7 | 3 |
| 4 |
Træff
|
1 | 1 | 0 | 0 | +7 | 3 |
| 5 |
Sotra
|
1 | 1 | 0 | 0 | +6 | 3 |
| 6 |
Raufoss
|
1 | 1 | 0 | 0 | +4 | 3 |
| 7 |
Skeid
|
1 | 1 | 0 | 0 | +3 | 3 |
| 8 |
Pors Grenland
|
1 | 1 | 0 | 0 | +3 | 3 |
| 9 |
Strommen
|
1 | 1 | 0 | 0 | +2 | 3 |
| 10 |
Rana
|
1 | 1 | 0 | 0 | +1 | 3 |
| 11 |
Follo
|
1 | 1 | 0 | 0 | +1 | 3 |
| 12 |
hodd
|
1 | 1 | 0 | 0 | +1 | 3 |
| 13 |
Sandviken
|
1 | 1 | 0 | 0 | +1 | 3 |
| 14 |
Stalkam
|
1 | 0 | 0 | 1 | -1 | 0 |
| 15 |
Råde
|
1 | 0 | 0 | 1 | -1 | 0 |
| 16 |
Spjelkavik
|
1 | 0 | 0 | 1 | -1 | 0 |
| 17 |
Askøy
|
1 | 0 | 0 | 1 | -1 | 0 |
| 18 |
Lillehammer
|
1 | 0 | 0 | 1 | -2 | 0 |
| 19 |
Nordstrand
|
1 | 0 | 0 | 1 | -3 | 0 |
| 20 |
Urædd
|
1 | 0 | 0 | 1 | -3 | 0 |
| 21 |
Ridabu
|
1 | 0 | 0 | 1 | -4 | 0 |
| 22 |
Frøya
|
1 | 0 | 0 | 1 | -6 | 0 |
| 23 |
Kvik Halden
|
1 | 0 | 0 | 1 | -7 | 0 |
| 24 |
Rollon
|
1 | 0 | 0 | 1 | -7 | 0 |
| 25 |
Fjøra
|
1 | 0 | 0 | 1 | -8 | 0 |
| 26 |
Langevag
|
1 | 0 | 0 | 1 | -13 | 0 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Match report
Odds comparison
Green columns are the outcomes that came in.
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.