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Ligue 2
2–1
Full-time
Nancy
S T U 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

Quevilly Rouen Nancy
Last 6 — all competitions · 6/6 matches
Win Ø 25%
17%
33%
Points per game
0,8
1,3
Over 2.5 Ø 42%
50%
33%
Both score Ø 42%
33%
50%
Average goals
2,0
2,2
Scored
0,5
1,0
Conceded
1,5
1,2
Goal diff per game
-1,0
-0,2
This season — Ligue 2 · 16/16 matches
Win Ø 19%
25%
13%
Points per game
1,1
0,8
Over 2.5 Ø 44%
50%
38%
Both score Ø 53%
50%
56%
Average goals
2,2
2,4
Scored
0,9
0,8
Conceded
1,3
1,6
Goal diff per game
-0,4
-0,9
🔒 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: 1–1

12 Shots 15
3 Shots on target 3
5 Corners 6
11 Free kicks against 15
2 Yellow cards 3
0 Red cards 1
The table before the match Quevilly Rouen 17. · Nancy 20.
# Team K V U T +/− P
1 Toulouse 16 9 6 1 +22 33
2 Ajaccio 16 9 4 3 +10 31
3 Auxerre 16 8 5 3 +8 29
4 Sochaux 16 8 4 4 +3 28
5 Paris FC 16 8 3 5 +4 27
6 Le Havre 16 6 8 2 +6 26
7 Pau FC 16 7 3 6 +1 24
8 Rodez 16 6 4 6 +2 22
9 Niort 16 6 3 7 -2 21
10 Grenoble 16 6 3 7 -4 21
11 Nimes 16 5 5 6 -1 20
12 Dijon 16 6 1 9 -5 19
13 Valenciennes 16 5 4 7 -9 19
14 Bastia 16 4 6 6 -2 18
15 Guingamp 16 4 6 6 -4 18
16 Caen 16 4 5 7 -1 17
17 Quevilly Rouen 16 4 5 7 -7 17
18 Dunkerque 16 4 4 8 -5 16
19 Amiens 16 2 9 5 -2 15
20 Nancy 16 2 6 8 -14 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 ✓
2,81
U
2,91
B
2,75
Over/under goals
O1,5 ✓
O2,5 ✓
2,51
U2,5
1,51
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.