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Ligue 2
Ajaccio
S S S U T
0–1
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

Ajaccio Quevilly Rouen
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,8
0,8
Over 2.5 Ø 17%
0%
33%
Both score Ø 25%
17%
33%
Average goals
1,3
1,8
Scored
0,8
0,7
Conceded
0,5
1,2
Goal diff per game
+0,3
-0,5
This season — Ligue 2 · 10/10 matches
Win Ø 40%
50%
30%
Points per game
1,9
1,2
Over 2.5 Ø 35%
20%
50%
Both score Ø 45%
30%
60%
Average goals
1,8
2,3
Scored
1,2
1,1
Conceded
0,6
1,2
Goal diff per game
+0,6
-0,1
🔒 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

11 Shots 4
1 Shots on target 3
6 Corners 2
20 Free kicks against 17
2 Yellow cards 5
0 Red cards 1
The table before the match Ajaccio 4. · Quevilly Rouen 12.
# 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
1,75
U
3,38
B ✓
5,00
Over/under goals
U1,5 ✓
O2,5
2,26
U2,5 ✓
1,62
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.