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

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

Le Havre Dijon
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
2,0
1,5
Over 2.5 Ø 25%
17%
33%
Both score Ø 42%
50%
33%
Average goals
1,5
2,5
Scored
1,0
1,2
Conceded
0,5
1,3
Goal diff per game
+0,5
-0,2
This season — Ligue 2 · 10/10 matches
Win Ø 35%
40%
30%
Points per game
1,7
1,0
Over 2.5 Ø 35%
20%
50%
Both score Ø 50%
40%
60%
Average goals
1,4
2,7
Scored
0,9
1,1
Conceded
0,5
1,6
Goal diff per game
+0,4
-0,5
🔒 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: 1–0

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

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 ✓
2,37
U
3,04
B
3,17
Over/under goals
O1,5 ✓
O2,5
2,38
U2,5 ✓
1,56
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.