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Ligue 2
Nimes
U T T T S
2–1
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

Nimes Quevilly Rouen
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,7
1,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 42%
50%
33%
Average goals
2,5
2,2
Scored
0,8
0,7
Conceded
1,7
1,5
Goal diff per game
-0,8
-0,8
This season — Ligue 2 · 15/15 matches
Win Ø 27%
27%
27%
Points per game
1,1
1,1
Over 2.5 Ø 47%
47%
47%
Both score Ø 47%
47%
47%
Average goals
2,4
2,1
Scored
1,1
0,9
Conceded
1,3
1,3
Goal diff per game
-0,1
-0,4
🔒 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

11 Shots 34
6 Shots on target 18
4 Corners 9
16 Free kicks against 19
4 Yellow cards 1
0 Red cards 0
The table before the match Nimes 13. · Quevilly Rouen 14.
# Team K V U T +/− P
1 Toulouse 16 9 6 1 +22 33
2 Auxerre 15 8 5 2 +10 29
3 Ajaccio 15 8 4 3 +9 28
4 Sochaux 16 8 4 4 +3 28
5 Le Havre 15 6 7 2 +6 25
6 Paris FC 15 7 3 5 +3 24
7 Niort 15 6 3 6 +0 21
8 Pau FC 15 6 3 6 -1 21
9 Grenoble 15 6 3 6 -3 21
10 Rodez 15 5 4 6 +0 19
11 Guingamp 15 4 6 5 -2 18
12 Caen 15 4 5 6 +0 17
13 Nimes 15 4 5 6 -2 17
14 Quevilly Rouen 15 4 5 6 -6 17
15 Dunkerque 15 4 4 7 -4 16
16 Dijon 15 5 1 9 -7 16
17 Valenciennes 15 4 4 7 -10 16
18 Bastia 15 3 6 6 -4 15
19 Amiens 15 2 8 5 -2 14
20 Nancy 15 2 6 7 -12 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 ✓
2,04
U
3,18
B
3,84
Over/under goals
O1,5 ✓
O2,5 ✓
2,15
U2,5
1,68
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.