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Ligue 2
Nancy
U S U S U
0–0
Full-time
Lens
S S S S U

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

Nancy Lens
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,7
2,3
Over 2.5 Ø 50%
50%
50%
Both score Ø 59%
67%
50%
Average goals
2,3
2,5
Scored
1,5
1,8
Conceded
0,8
0,7
Goal diff per game
+0,7
+1,2
This season — Ligue 2 · 11/11 matches
Win Ø 41%
27%
55%
Points per game
1,5
1,9
Over 2.5 Ø 45%
45%
45%
Both score Ø 60%
64%
55%
Average goals
2,2
2,5
Scored
1,2
1,5
Conceded
1,0
1,0
Goal diff per game
+0,2
+0,5
🔒 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

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

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
2,91
U ✓
2,89
B
2,65
Over/under goals
U1,5 ✓
O2,5
2,38
U2,5 ✓
1,56
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.