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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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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| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Bastia
|
1 | 1 | 0 | 0 | +6 | 3 |
| 2 |
Troyes
|
1 | 1 | 0 | 0 | +3 | 3 |
| 3 |
Grenoble
|
1 | 1 | 0 | 0 | +3 | 3 |
| 4 |
Mulhouse
|
1 | 1 | 0 | 0 | +3 | 3 |
| 5 |
Amiens
|
1 | 1 | 0 | 0 | +3 | 3 |
| 6 |
Rodez
|
1 | 1 | 0 | 0 | +2 | 3 |
| 7 |
Annecy
|
1 | 1 | 0 | 0 | +1 | 3 |
| 8 |
Le Puy Foot
|
1 | 1 | 0 | 0 | +1 | 3 |
| 9 |
Reims
|
1 | 1 | 0 | 0 | +1 | 3 |
| 10 |
Pontarlier
|
1 | 0 | 1 | 0 | +0 | 1 |
| 11 |
Sochaux
|
1 | 0 | 1 | 0 | +0 | 1 |
| 12 |
Avranches
|
1 | 0 | 1 | 0 | +0 | 1 |
| 13 |
Gobelins
|
1 | 0 | 1 | 0 | +0 | 1 |
| 14 |
Cannes
|
1 | 0 | 0 | 1 | -1 | 0 |
| 15 |
ASPTT Dijon
|
1 | 0 | 0 | 1 | -1 | 0 |
| 16 |
OCPAM
|
1 | 0 | 0 | 1 | -1 | 0 |
| 17 |
Lavaur
|
1 | 0 | 0 | 1 | -2 | 0 |
| 18 |
France Aizenay
|
1 | 0 | 0 | 1 | -3 | 0 |
| 19 |
Olympique de Villefontaine
|
1 | 0 | 0 | 1 | -3 | 0 |
| 20 |
Magenta
|
1 | 0 | 0 | 1 | -3 | 0 |
| 21 |
Auby
|
1 | 0 | 0 | 1 | -3 | 0 |
| 22 |
US Chateau-Malo
|
1 | 0 | 0 | 1 | -6 | 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.
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.