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Ligue 2
Lens
S S T S S
1–0
Full-time
Niort
T S T T 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 Niort
Last 6 — all competitions · 6/6 matches
Win Ø 50%
83%
17%
Points per game
2,5
0,5
Over 2.5 Ø 59%
67%
50%
Both score Ø 42%
33%
50%
Average goals
2,7
2,8
Scored
2,0
0,8
Conceded
0,7
2,0
Goal diff per game
+1,3
-1,2
This season — Ligue 2 · 18/18 matches
Win Ø 42%
61%
22%
Points per game
2,1
0,9
Over 2.5 Ø 42%
50%
33%
Both score Ø 44%
44%
44%
Average goals
2,4
2,2
Scored
1,6
0,9
Conceded
0,8
1,3
Goal diff per game
+0,8
-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: 0–0

11 Shots 6
5 Shots on target 1
5 Corners 5
12 Free kicks against 14
1 Yellow cards 3
1 Red cards 0
The table before the match Lens 2. · Niort 17.
# Team K V U T +/− P
1 Lorient 19 12 3 4 +15 39
2 Lens 18 11 4 3 +14 37
3 Troyes 18 11 2 5 +5 35
4 Ajaccio 18 9 6 3 +9 33
5 Valenciennes 19 8 6 5 +4 30
6 Clermont 19 8 6 5 +2 30
7 Le Havre 19 7 8 4 +9 29
8 Guingamp 19 7 6 6 +8 27
9 Sochaux 19 7 6 6 +5 27
10 Nancy 19 5 12 2 +4 27
11 Grenoble 19 5 11 3 +2 26
12 Rodez 19 6 3 10 -3 21
13 Caen 19 4 9 6 -4 21
14 Auxerre 19 4 8 7 +0 20
15 Chambly 19 5 5 9 -10 20
16 Chateauroux 19 4 6 9 -13 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 19 2 7 10 -13 13

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 ✓
1,40
U
4,19
B
8,64
Over/under goals
U1,5 ✓
O2,5
2,05
U2,5 ✓
1,76
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.