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Ligue 2
Sochaux
S S U S S
1–1
Full-time

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Sochaux Quevilly Rouen
Last 6 — all competitions · 6/6 matches
Win Ø 50%
67%
33%
Points per game
2,2
1,3
Over 2.5 Ø 34%
17%
50%
Both score Ø 25%
17%
33%
Average goals
1,3
2,0
Scored
1,0
0,8
Conceded
0,3
1,2
Goal diff per game
+0,7
-0,3
This season — Ligue 2 · 12/12 matches
Win Ø 50%
67%
33%
Points per game
2,2
1,3
Over 2.5 Ø 38%
25%
50%
Both score Ø 38%
25%
50%
Average goals
1,6
2,3
Scored
1,1
1,0
Conceded
0,5
1,3
Goal diff per game
+0,6
-0,3
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–1

9 Shots 7
4 Shots on target 3
7 Corners 0
15 Free kicks against 14
2 Yellow cards 2
0 Red cards 0
The table before the match Sochaux 2. · Quevilly Rouen 10.
# Team K V U T +/− P
1 Toulouse 13 8 4 1 +19 28
2 Sochaux 12 8 2 2 +7 26
3 Ajaccio 12 6 4 2 +7 22
4 Le Havre 12 5 6 1 +6 21
5 Auxerre 12 5 5 2 +5 20
6 Niort 12 5 3 4 +3 18
7 Pau FC 12 5 3 4 +2 18
8 Paris FC 13 5 3 5 +1 18
9 Caen 12 4 3 5 +1 15
10 Quevilly Rouen 12 4 3 5 -3 15
11 Grenoble 12 4 3 5 -4 15
12 Valenciennes 12 4 3 5 -6 15
13 Nimes 12 3 5 4 +0 14
14 Guingamp 12 3 5 4 -3 14
15 Rodez 12 3 4 5 -4 13
16 Dijon 12 4 1 7 -6 13
17 Dunkerque 12 3 3 6 -4 12
18 Bastia 12 2 5 5 -4 11
19 Amiens 12 1 6 5 -5 9
20 Nancy 12 1 5 6 -12 8

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
1,68
U ✓
3,49
B
5,22
Over/under goals
O1,5 ✓
O2,5
2,21
U2,5 ✓
1,63
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.