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Ligue 1
Referee: P Gaillouste
Montpellier
S S U S S
2–1
Full-time
Clermont
T T U S 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

Montpellier Clermont
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,2
0,7
Over 2.5 Ø 25%
33%
17%
Both score Ø 17%
17%
17%
Average goals
2,3
2,2
Scored
1,8
0,3
Conceded
0,5
1,8
Goal diff per game
+1,3
-1,5
xG created Pro
xG conceded Pro
xG diff Pro
This season — Ligue 1 · 27/27 matches
Win Ø 35%
37%
33%
Points per game
1,2
1,3
Over 2.5 Ø 50%
59%
41%
Both score Ø 50%
52%
48%
Average goals
3,3
2,4
Scored
1,6
1,0
Conceded
1,7
1,4
Goal diff per game
-0,1
-0,4
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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: 0–1

3,37 xG 1,80
56% Possession 44%
23 Shots 16
9 Shots on target 8
6 Blocked shots 2
7 Goalkeeper saves 7
11 Corners 4
1 Offside 1
15 Free kicks against 15
3 Yellow cards 1
1 Red cards 0
The table before the match Montpellier 13. · Clermont 12.
# Team K V U T +/− xG +/− P
1 Paris SG 27 21 3 3 +42 +5.0 66
2 Lens 28 16 9 3 +26 +5.3 57
3 Marseille 27 17 5 5 +24 +1.8 56
4 Monaco 28 16 6 6 +20 +4.0 54
5 Lille 28 14 7 7 +15 +6.2 49
6 Rennes 27 14 5 8 +16 -0.7 47
7 Nice 27 11 10 6 +12 +2.1 43
8 Reims 27 10 13 4 +9 +8.9 43
9 Lorient 27 12 7 8 +4 -1.0 43
10 Lyon 28 11 8 9 +11 +0.7 41
11 Toulouse 28 10 5 13 -5 +1.1 35
12 Clermont 27 9 7 11 -12 -4.3 34
13 Montpellier 27 10 3 14 -4 -0.1 33
14 Nantes 28 6 12 10 -7 -1.9 30
15 Strasbourg 27 4 11 12 -14 -2.3 23
16 Brest 27 5 8 14 -16 -7.7 23
17 Auxerre 27 5 8 14 -26 +2.4 23
18 Ajaccio 28 6 3 19 -30 -0.6 21
19 Troyes 27 4 8 15 -23 -11.6 20
20 Angers 28 2 4 22 -42 -7.3 10

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 ✓
1,87
U
3,52
B
4,32
Over/under goals
O1,5 ✓
O2,5 ✓
2,16
U2,5
1,71
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

P Gaillouste · 98 kamper i vår database

🟨 Yellow cards
3,5 / match
Average
⚽ Free kicks
25,5 / match
Above average

🟥 Red cards: 0,30 per match

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