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Ligue 2
Lens
U S S S T
3–0
Full-time
Chambly
T T T S 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 Chambly
Last 6 — all competitions · 6/6 matches
Win Ø 34%
50%
17%
Points per game
1,8
0,7
Over 2.5 Ø 33%
33%
33%
Both score Ø 17%
17%
17%
Average goals
1,7
2,5
Scored
1,2
0,8
Conceded
0,5
1,7
Goal diff per game
+0,7
-0,8
This season — Ligue 2 · 16/16 matches
Win Ø 41%
56%
25%
Points per game
1,9
1,0
Over 2.5 Ø 38%
44%
31%
Both score Ø 29%
44%
13%
Average goals
2,4
1,9
Scored
1,5
0,7
Conceded
0,9
1,2
Goal diff per game
+0,6
-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: 1–0

9 Shots 5
4 Shots on target 2
1 Corners 1
14 Free kicks against 15
1 Yellow cards 2
0 Red cards 0
The table before the match Lens 2. · Chambly 17.
# Team K V U T +/− P
1 Lorient 16 10 3 3 +13 33
2 Lens 16 9 4 3 +10 31
3 Ajaccio 16 8 6 2 +9 30
4 Troyes 16 9 2 5 +3 29
5 Le Havre 16 6 7 3 +8 25
6 Sochaux 16 7 4 5 +6 25
7 Clermont 16 7 4 5 +1 25
8 Nancy 17 4 11 2 +3 23
9 Valenciennes 16 6 5 5 +0 23
10 Guingamp 16 5 6 5 +2 21
11 Grenoble 16 4 9 3 +1 21
12 Caen 17 4 8 5 -3 20
13 Auxerre 16 4 6 6 +1 18
14 Rodez 16 5 3 8 -2 18
15 Niort 16 4 5 7 -5 17
16 Chateauroux 16 4 5 7 -8 17
17 Chambly 16 4 4 8 -8 16
18 Paris FC 16 4 3 9 -11 15
19 Le Mans 16 4 2 10 -11 14
20 Orleans 16 1 7 8 -9 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 ✓
1,54
U
3,64
B
6,83
Over/under goals
O1,5 ✓
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.