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Ligue 1
Referee: Antony Gautier
Dijon
T T S U T
2–0
Full-time
Nancy
S T U T T

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Dijon Nancy
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,8
0,7
Over 2.5 Ø 67%
67%
67%
Both score Ø 50%
67%
33%
Average goals
2,8
2,3
Scored
1,0
0,8
Conceded
1,8
1,5
Goal diff per game
-0,8
-0,7
This season — Ligue 1 · 36/36 matches
Win Ø 21%
19%
22%
Points per game
0,9
0,9
Over 2.5 Ø 45%
53%
36%
Both score Ø 40%
58%
22%
Average goals
2,8
2,1
Scored
1,2
0,7
Conceded
1,6
1,4
Goal diff per game
-0,4
-0,6
🔒 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

50% Possession 50%
20 Shots 9
5 Shots on target 2
5 Blocked shots 0
2 Goalkeeper saves 3
4 Corners 6
2 Offside 3
17 Free kicks against 17
2 Yellow cards 2
0 Red cards 0
The table before the match Dijon 18. · Nancy 19.
# Team K V U T +/− P
1 Monaco 35 27 5 3 +69 86
2 Paris SG 36 26 5 5 +51 83
3 Nice 36 22 11 3 +29 77
4 Lyon 36 19 4 13 +27 61
5 Marseille 36 16 10 10 +15 58
6 Bordeaux 36 15 12 9 +10 57
7 St Etienne 35 12 14 9 +8 50
8 Nantes 36 13 9 14 -14 48
9 Guingamp 36 13 8 15 -5 47
10 Rennes 36 11 14 11 -6 47
11 Lille 36 12 7 17 -6 43
12 Toulouse 36 10 12 14 -4 42
13 Metz 36 11 9 16 -32 42
14 Angers 36 11 7 18 -13 40
15 Montpellier 36 10 9 17 -14 39
16 Caen 36 10 6 20 -28 36
17 Lorient 36 10 5 21 -24 35
18 Dijon 36 7 12 17 -14 33
19 Nancy 36 8 8 20 -23 32
20 Bastia 36 7 11 18 -26 32

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.

Recent head-to-head meetings

19. Nov -16 Nancy – Dijon 1–0

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.