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Ligue 2
Referee: M Vernice
Metz
S U T U S
1–0
Full-time
Dunkerque
S T U U 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

Metz Dunkerque
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,5
1,3
Over 2.5 Ø 50%
100%
0%
Both score Ø 59%
100%
17%
Average goals
4,5
1,2
Scored
2,5
0,7
Conceded
2,0
0,5
Goal diff per game
+0,5
+0,2
This season — Ligue 2 · 34/35 matches
Win Ø 52%
53%
51%
Points per game
1,9
1,7
Over 2.5 Ø 47%
56%
37%
Both score Ø 54%
62%
46%
Average goals
2,9
2,5
Scored
1,9
1,4
Conceded
1,0
1,1
Goal diff per game
+0,9
+0,2
🔒 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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The table before the match Metz 3. · Dunkerque 4.
# Team K V U T +/− P
1 Lorient 34 22 5 7 +37 71
2 Paris FC 34 21 6 7 +22 69
3 Metz 34 18 11 5 +30 65
4 Dunkerque 35 18 5 12 +8 59
5 Guingamp 35 17 4 14 +11 55
6 Annecy 34 14 9 11 -1 51
7 Laval 34 14 8 12 +6 50
8 Bastia 34 11 15 8 +6 48
9 Grenoble 34 13 7 14 -1 46
10 Troyes 34 13 5 16 +2 44
11 Amiens 34 13 4 17 -12 43
12 Ajaccio 34 12 6 16 -12 42
13 Pau FC 34 10 12 12 -14 42
14 Rodez 34 9 12 13 +2 39
15 Red Star 34 9 11 14 -14 38
16 Clermont 34 7 12 15 -16 33
17 Martigues 34 9 5 20 -27 32
18 Caen 34 5 7 22 -27 22

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.

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