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Ligue 2
Le Havre
U U S T S
0–1
Full-time
Sochaux
T T S U U

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

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

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Team trends

Le Havre Sochaux
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
1,0
Over 2.5 Ø 42%
33%
50%
Both score Ø 59%
50%
67%
Average goals
2,0
2,5
Scored
1,0
1,0
Conceded
1,0
1,5
Goal diff per game
+0,0
-0,5
This season — Ligue 2 · 19/19 matches
Win Ø 45%
42%
47%
Points per game
1,7
1,7
Over 2.5 Ø 29%
26%
32%
Both score Ø 42%
42%
42%
Average goals
1,7
1,9
Scored
1,1
1,1
Conceded
0,7
0,8
Goal diff per game
+0,4
+0,2
🔒 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: 0–0

9 Shots 6
3 Shots on target 2
9 Corners 3
9 Free kicks against 14
1 Yellow cards 2
0 Red cards 0
The table before the match Le Havre 6. · Sochaux 5.
# Team K V U T +/− P
1 Ajaccio 19 11 5 3 +12 38
2 Toulouse 19 10 7 2 +22 37
3 Paris FC 19 11 3 5 +9 36
4 Auxerre 19 9 6 4 +9 33
5 Sochaux 19 9 6 4 +4 33
6 Le Havre 19 8 8 3 +7 32
7 Niort 19 8 4 7 +2 28
8 Rodez 19 7 6 6 +3 27
9 Guingamp 19 6 6 7 -4 24
10 Pau FC 19 7 3 9 -4 24
11 Quevilly Rouen 19 6 6 7 -5 24
12 Nimes 19 6 5 8 -2 23
13 Dijon 19 7 2 10 -3 23
14 Caen 19 5 7 7 +1 22
15 Amiens 19 4 9 6 +3 21
16 Grenoble 19 6 3 10 -9 21
17 Valenciennes 19 5 6 8 -12 21
18 Bastia 19 4 8 7 -3 20
19 Dunkerque 19 4 4 11 -11 16
20 Nancy 19 2 6 11 -19 12

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
2,68
U
3,05
B ✓
2,72
Over/under goals
U1,5 ✓
O2,5
2,36
U2,5 ✓
1,57
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.