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Ligue 2
Ajaccio
S U U S S
1–2
Full-time
Lens
S S S T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Ajaccio Lens
Last 6 — all competitions · 6/6 matches
Win Ø 67%
67%
67%
Points per game
2,3
2,2
Over 2.5 Ø 25%
0%
50%
Both score Ø 25%
33%
17%
Average goals
1,7
2,2
Scored
1,3
1,7
Conceded
0,3
0,5
Goal diff per game
+1,0
+1,2
This season — Ligue 2 · 17/17 matches
Win Ø 56%
53%
59%
Points per game
1,9
2,0
Over 2.5 Ø 36%
24%
47%
Both score Ø 38%
35%
41%
Average goals
1,9
2,4
Scored
1,2
1,6
Conceded
0,6
0,8
Goal diff per game
+0,6
+0,8
🔒 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

6 Shots 12
2 Shots on target 5
1 Corners 9
17 Free kicks against 17
2 Yellow cards 1
0 Red cards 0
The table before the match Ajaccio 3. · Lens 2.
# Team K V U T +/− P
1 Lorient 18 12 3 3 +18 39
2 Lens 17 10 4 3 +13 34
3 Ajaccio 17 9 6 2 +10 33
4 Troyes 17 10 2 5 +4 32
5 Clermont 18 8 5 5 +2 29
6 Le Havre 18 7 7 4 +9 28
7 Sochaux 18 7 6 5 +6 27
8 Valenciennes 18 7 6 5 +1 27
9 Nancy 18 5 11 2 +4 26
10 Guingamp 17 6 6 5 +5 24
11 Grenoble 18 4 11 3 +1 23
12 Rodez 18 6 3 9 -2 21
13 Caen 18 4 8 6 -4 20
14 Auxerre 18 4 7 7 +0 19
15 Chambly 18 5 4 9 -10 19
16 Chateauroux 18 4 6 8 -9 18
17 Niort 18 4 5 9 -7 17
18 Le Mans 18 5 2 11 -12 17
19 Paris FC 18 4 3 11 -15 15
20 Orleans 18 1 7 10 -14 10

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
2,93
U
2,80
B ✓
2,69
Over/under goals
O1,5 ✓
O2,5 ✓
2,55
U2,5
1,48
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.