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

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 Nancy
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,7
1,7
Over 2.5 Ø 42%
33%
50%
Both score Ø 42%
33%
50%
Average goals
1,8
2,0
Scored
0,7
1,3
Conceded
1,2
0,7
Goal diff per game
-0,5
+0,7
This season — Ligue 2 · 12/12 matches
Win Ø 29%
33%
25%
Points per game
1,5
1,4
Over 2.5 Ø 50%
58%
42%
Both score Ø 58%
58%
58%
Average goals
2,6
2,0
Scored
1,5
1,1
Conceded
1,1
0,9
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: 1–0

12 Shots 13
7 Shots on target 4
5 Corners 3
17 Free kicks against 20
2 Yellow cards 3
0 Red cards 0
The table before the match Le Havre 8. · Nancy 11.
# Team K V U T +/− P
1 Lens 13 7 4 2 +7 25
2 Ajaccio 13 7 4 2 +7 25
3 Troyes 13 8 1 4 +6 25
4 Lorient 13 7 3 3 +7 24
5 Sochaux 13 6 4 3 +9 22
6 Guingamp 13 5 4 4 +6 19
7 Grenoble 13 4 7 2 +2 19
8 Le Havre 12 4 6 2 +5 18
9 Rodez 13 5 3 5 +1 18
10 Clermont 13 5 3 5 -1 18
11 Nancy 12 3 8 1 +2 17
12 Valenciennes 13 4 5 4 -2 17
13 Auxerre 13 4 4 5 +3 16
14 Niort 13 3 5 5 -2 14
15 Caen 13 3 5 5 -4 14
16 Chambly 13 3 4 6 -9 13
17 Le Mans 13 4 0 9 -10 12
18 Chateauroux 13 2 5 6 -8 11
19 Orleans 13 1 6 6 -7 9
20 Paris FC 13 2 3 8 -12 9

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
2,19
U ✓
3,04
B
3,49
Over/under goals
O1,5 ✓
O2,5
2,30
U2,5 ✓
1,59
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.