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Ligue 2
Lens
S S S U U
1–0
Full-time
Lorient
S S U U 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

Lens Lorient
Last 6 — all competitions · 6/6 matches
Win Ø 59%
67%
50%
Points per game
2,3
1,8
Over 2.5 Ø 33%
33%
33%
Both score Ø 33%
33%
33%
Average goals
1,8
1,8
Scored
1,5
1,2
Conceded
0,3
0,7
Goal diff per game
+1,2
+0,5
This season — Ligue 2 · 12/12 matches
Win Ø 54%
50%
58%
Points per game
1,8
2,0
Over 2.5 Ø 42%
42%
42%
Both score Ø 46%
50%
42%
Average goals
2,3
2,0
Scored
1,4
1,3
Conceded
0,9
0,7
Goal diff per game
+0,5
+0,7
🔒 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

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

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 ✓
2,31
U
2,99
B
3,31
Over/under goals
U1,5 ✓
O2,5
2,31
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.