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Ligue 2
Toulouse
S S S T U
2–1
Full-time
Niort
T S 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

Toulouse Niort
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,2
Over 2.5 Ø 58%
33%
83%
Both score Ø 50%
33%
67%
Average goals
2,7
4,0
Scored
1,7
1,8
Conceded
1,0
2,2
Goal diff per game
+0,7
-0,3
This season — Ligue 2 · 11/10 matches
Win Ø 43%
36%
50%
Points per game
1,5
1,7
Over 2.5 Ø 43%
36%
50%
Both score Ø 48%
45%
50%
Average goals
2,8
2,9
Scored
1,5
1,5
Conceded
1,3
1,4
Goal diff per game
+0,3
+0,1
🔒 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: 1–1

9 Shots 10
4 Shots on target 2
2 Corners 5
14 Free kicks against 15
1 Yellow cards 1
0 Red cards 0
The table before the match Toulouse 8. · Niort 7.
# Team K V U T +/− P
1 Paris FC 11 8 1 2 +8 25
2 Grenoble 10 7 0 3 +8 21
3 Caen 11 6 2 3 +2 20
4 Auxerre 11 6 1 4 +7 19
5 Troyes 10 5 3 2 +8 18
6 Clermont 11 4 5 2 +6 17
7 Niort 10 5 2 3 +1 17
8 Toulouse 11 4 4 3 +3 16
9 Dunkerque 11 5 1 5 +0 16
10 Le Havre 11 5 1 5 -2 16
11 Valenciennes 11 4 3 4 +0 15
12 Sochaux 11 3 5 3 +0 14
13 Guingamp 11 3 4 4 -1 13
14 Amiens 11 3 3 5 -1 12
15 Nancy 10 3 2 5 -1 11
16 Chateauroux 11 3 2 6 -4 11
17 Ajaccio 11 3 2 6 -9 11
18 Rodez 11 2 4 5 -9 10
19 Pau FC 11 2 3 6 -4 9
20 Chambly 11 1 4 6 -12 7

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 ✓
1,96
U
3,31
B
3,86
Over/under goals
O1,5 ✓
O2,5 ✓
2,02
U2,5
1,78
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.