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Ligue 1
Referee: Frank Schneider
Marseille
S U S S U
1–0
Full-time
Bastia
U T S 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

Marseille Bastia
Last 6 — all competitions · 6/6 matches
Win Ø 50%
50%
50%
Points per game
2,0
1,7
Over 2.5 Ø 42%
50%
33%
Both score Ø 34%
50%
17%
Average goals
2,5
2,2
Scored
2,0
0,8
Conceded
0,5
1,3
Goal diff per game
+1,5
-0,5
This season — Ligue 1 · 37/37 matches
Win Ø 33%
43%
22%
Points per game
1,6
0,9
Over 2.5 Ø 46%
51%
41%
Both score Ø 46%
49%
43%
Average goals
2,6
2,2
Scored
1,5
0,8
Conceded
1,1
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

64% Possession 36%
12 Shots 4
3 Shots on target 0
1 Blocked shots 2
0 Goalkeeper saves 2
6 Corners 1
5 Offside 1
17 Free kicks against 20
3 Yellow cards 2
0 Red cards 0
The table before the match Marseille 5. · Bastia 18.
# Team K V U T +/− P
1 Monaco 37 29 5 3 +75 92
2 Paris SG 37 27 5 5 +56 86
3 Nice 37 22 11 4 +27 77
4 Lyon 37 20 4 13 +29 64
5 Marseille 37 16 11 10 +15 59
6 Bordeaux 37 15 13 9 +10 58
7 Nantes 37 14 9 14 -11 51
8 St Etienne 37 12 14 11 +1 50
9 Rennes 37 12 14 11 -5 50
10 Guingamp 37 13 8 16 -8 47
11 Toulouse 37 10 13 14 -4 43
12 Lille 37 12 7 18 -10 43
13 Angers 37 12 7 18 -11 43
14 Metz 37 11 10 16 -32 43
15 Montpellier 37 10 9 18 -16 39
16 Dijon 37 8 12 17 -12 36
17 Caen 37 10 6 21 -29 36
18 Bastia 37 8 11 18 -24 35
19 Lorient 37 10 5 22 -26 35
20 Nancy 37 8 8 21 -25 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.

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