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Ligue 1

Referee: J Stinat

Montpellier

T S S U S

1–1

Full-time

Nantes

T S T 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 Nantes

Last 6 — all competitions · 6/6 matches

Win Ø 50%

67%

33%

Points per game

2,2

1,0

Over 2.5 Ø 59%

50%

67%

Both score Ø 59%

67%

50%

Average goals

3,3

2,8

Scored

1,8

0,8

Conceded

1,5

2,0

Goal diff per game

+0,3

-1,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — Ligue 1 · 30/30 matches

Win Ø 30%

30%

Points per game

1,2

1,0

Over 2.5 Ø 50%

53%

47%

Both score Ø 47%

50%

43%

Average goals

2,7

2,5

Scored

1,3

0,9

Conceded

1,4

1,6

Goal diff per game

-0,1

-0,7

xG created Pro

xG conceded Pro

xG diff Pro

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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: 1–1

0,81 xG 1,35

54% Possession 46%

8 Shots 15

1 Shots on target 5

2 Blocked shots 6

4 Goalkeeper saves 0

3 Corners 6

0 Offside 1

11 Free kicks against 14

2 Yellow cards 1

2 Red cards 0

The table before the match Montpellier 12. · Nantes 14. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paris SG	30	20	9	1	+47	+25.9	69
2	Monaco	30	17	7	6	+18	+8.8	58
3	Brest	30	15	8	7	+15	+9.4	53
4	Lille	30	14	10	6	+17	+13.7	52
5	Nice	30	13	9	8	+9	+12.4	48
6	Lens	30	13	7	10	+7	+2.5	46
7	Rennes	30	11	9	10	+8	+8.8	42
8	Marseille	30	10	11	9	+8	+17.9	41
9	Lyon	30	12	5	13	-10	-5.3	41
10	Reims	30	11	7	12	-4	+2.1	40
11	Toulouse	30	9	10	11	-3	-7.5	37
12	Montpellier	30	9	10	11	-4	+2.3	37
13	Strasbourg	30	9	9	12	-8	-1.2	36
14	Nantes	30	9	4	17	-20	-15.8	31
15	Metz	30	8	5	17	-18	-19.1	29
16	Le Havre	30	6	10	14	-11	-11.5	28
17	Lorient	30	6	8	16	-23	-17.7	26
18	Clermont	30	4	10	16	-28	-25.6	22

#	Team	K	V	U	T	+/−	xG +/−	P
1	Lille	15	11	3	1	+21	+17.8	36
2	Paris SG	15	9	5	1	+22	+18.1	32
3	Marseille	15	8	6	1	+15	+15.8	30
4	Brest	15	8	5	2	+11	+13.1	29
5	Nice	15	8	4	3	+10	+9.9	28
6	Monaco	15	8	3	4	+9	+9.0	27
7	Lens	15	8	3	4	+7	+6.1	27
8	Rennes	15	7	3	5	+9	+11.8	24
9	Strasbourg	15	6	3	6	+0	+3.0	21
10	Reims	15	6	3	6	-1	+4.4	21
11	Lyon	15	5	4	6	-6	+1.4	19
12	Montpellier	15	3	8	4	-1	+8.2	17
13	Le Havre	15	5	2	8	-2	+2.2	17
14	Toulouse	15	3	7	5	+0	+4.0	16
15	Lorient	15	3	4	8	-8	-5.9	13
16	Metz	14	3	3	8	-6	-2.6	12
17	Nantes	16	3	3	10	-12	-7.7	12
18	Clermont	15	2	5	8	-15	-8.4	11

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paris SG	15	11	4	0	+25	+7.8	37
2	Monaco	15	9	4	2	+9	-0.2	31
3	Brest	15	7	3	5	+4	-3.7	24
4	Lyon	15	7	1	7	-4	-6.6	22
5	Toulouse	15	6	3	6	-3	-11.5	21
6	Nice	15	5	5	5	-1	+2.5	20
7	Montpellier	15	6	2	7	-3	-5.9	20
8	Lens	15	5	4	6	+0	-3.6	19
9	Reims	15	5	4	6	-3	-2.3	19
10	Nantes	14	6	1	7	-8	-8.1	19
11	Rennes	15	4	6	5	-1	-3.0	18
12	Metz	16	5	2	9	-12	-16.5	17
13	Lille	15	3	7	5	-4	-4.1	16
14	Strasbourg	15	3	6	6	-8	-4.2	15
15	Lorient	15	3	4	8	-15	-11.8	13
16	Marseille	15	2	5	8	-7	+2.1	11
17	Le Havre	15	1	8	6	-9	-13.7	11
18	Clermont	15	2	5	8	-13	-17.1	11

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.