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Ligue 2
Dijon
S T T S T
2–2
Full-time
Niort
T S T T S

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

Dijon Niort
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
1,5
1,5
Over 2.5 Ø 59%
50%
67%
Both score Ø 50%
50%
50%
Average goals
2,5
2,8
Scored
1,3
1,3
Conceded
1,2
1,5
Goal diff per game
+0,2
-0,2
This season — Ligue 2 · 17/17 matches
Win Ø 38%
35%
41%
Points per game
1,1
1,4
Over 2.5 Ø 47%
47%
47%
Both score Ø 44%
53%
35%
Average goals
2,6
2,2
Scored
1,1
1,1
Conceded
1,5
1,1
Goal diff per game
-0,4
-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: 0–2

13 Shots 8
7 Shots on target 2
11 Corners 2
21 Free kicks against 22
4 Yellow cards 3
0 Red cards 0
The table before the match Dijon 15. · Niort 9.
# Team K V U T +/− P
1 Ajaccio 18 10 5 3 +11 35
2 Toulouse 17 9 6 2 +21 33
3 Sochaux 17 9 4 4 +4 31
4 Auxerre 17 8 6 3 +8 30
5 Paris FC 17 9 3 5 +5 30
6 Le Havre 18 7 8 3 +6 29
7 Rodez 17 7 4 6 +3 25
8 Pau FC 17 7 3 7 +0 24
9 Niort 17 7 3 7 -1 24
10 Guingamp 17 5 6 6 -3 21
11 Grenoble 17 6 3 8 -5 21
12 Nimes 17 5 5 7 -2 20
13 Quevilly Rouen 17 5 5 7 -6 20
14 Valenciennes 17 5 5 7 -9 20
15 Dijon 17 6 1 10 -6 19
16 Amiens 17 3 9 5 +1 18
17 Caen 17 4 6 7 -1 18
18 Bastia 17 4 6 7 -3 18
19 Dunkerque 17 4 4 9 -8 16
20 Nancy 17 2 6 9 -15 12

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
1,81
U ✓
3,37
B
4,63
Over/under goals
O1,5 ✓
O2,5 ✓
2,24
U2,5
1,63
O3,5 ✓
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.