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Ligue 1

Referee: J Stinat

Monaco

S U U T S

3–2

Full-time

Rennes

S T T 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

Monaco Rennes

Last 6 — all competitions · 6/6 matches

Win Ø 33%

33%

Points per game

1,3

1,0

Over 2.5 Ø 67%

67%

Both score Ø 75%

83%

67%

Average goals

3,5

3,2

Scored

1,8

1,7

Conceded

1,7

1,5

Goal diff per game

+0,2

xG created Pro

xG conceded Pro

xG diff Pro

This season — Ligue 1 · 18/18 matches

Win Ø 39%

50%

28%

Points per game

1,7

0,9

Over 2.5 Ø 61%

61%

Both score Ø 56%

61%

50%

Average goals

2,7

2,8

Scored

1,6

1,3

Conceded

1,1

1,5

Goal diff per game

+0,5

-0,2

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

3,53 xG 1,77

52% Possession 48%

20 Shots 14

10 Shots on target 5

4 Blocked shots 2

3 Goalkeeper saves 6

4 Corners 2

1 Offside 1

12 Free kicks against 16

3 Yellow cards 3

0 Red cards 0

The table before the match Monaco 4. · Rennes 15. ▾

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paris SG	18	14	4	0	+32	+30.8	46
2	Marseille	18	11	4	3	+19	+5.2	37
3	Lille	18	8	8	2	+11	+5.7	32
4	Monaco	18	9	4	5	+9	+19.0	31
5	Nice	18	8	6	4	+11	+10.9	30
6	Lyon	18	8	5	5	+7	+5.8	29
7	Lens	18	7	6	5	+4	+7.1	27
8	Toulouse	18	7	4	7	+0	+8.2	25
9	Brest	18	8	1	9	-3	-10.4	25
10	Strasbourg	18	6	6	6	+1	-7.4	24
11	Auxerre	19	6	5	8	-4	-10.5	23
12	Angers	18	6	4	8	-6	-3.2	22
13	Reims	18	5	6	7	-2	-7.1	21
14	St Etienne	19	5	3	11	-21	-18.1	18
15	Rennes	18	5	2	11	-3	+1.1	17
16	Nantes	18	3	8	7	-7	-8.1	17
17	Le Havre	18	4	1	13	-23	-14.4	13
18	Montpellier	18	3	3	12	-25	-14.5	12

#	Team	K	V	U	T	+/−	xG +/−	P
1	Paris SG	9	8	1	0	+19	+17.3	25
2	Brest	9	6	1	2	+9	+1.0	19
3	Auxerre	10	5	4	1	+7	-0.6	19
4	Nice	8	5	3	0	+12	+8.0	18
5	Lille	9	5	3	1	+5	-0.3	18
6	Lyon	9	5	2	2	+5	+4.0	17
7	Monaco	9	5	2	2	+4	+11.1	17
8	Rennes	10	5	1	4	+9	+6.0	16
9	St Etienne	9	5	1	3	+2	+1.1	16
10	Strasbourg	8	4	3	1	+5	+0.6	15
11	Toulouse	9	4	2	3	+2	+5.4	14
12	Marseille	9	3	4	2	+2	+4.4	13
13	Montpellier	10	3	3	4	-8	-3.4	12
14	Lens	9	3	2	4	-1	+4.9	11
15	Reims	10	2	4	4	-4	-4.2	10
16	Angers	9	3	1	5	-5	-4.6	10
17	Nantes	8	2	3	3	-1	-0.0	9
18	Le Havre	9	2	0	7	-15	-8.6	6

#	Team	K	V	U	T	+/−	xG +/−	P
1	Marseille	9	8	0	1	+17	+0.8	24
2	Paris SG	9	6	3	0	+13	+13.5	21
3	Lens	9	4	4	1	+5	+2.2	16
4	Lille	9	3	5	1	+6	+6.0	14
5	Monaco	9	4	2	3	+5	+8.0	14
6	Lyon	9	3	3	3	+2	+1.8	12
7	Nice	10	3	3	4	-1	+2.9	12
8	Angers	9	3	3	3	-1	+1.4	12
9	Reims	8	3	2	3	+2	-2.9	11
10	Toulouse	9	3	2	4	-2	+2.8	11
11	Strasbourg	10	2	3	5	-4	-8.0	9
12	Nantes	10	1	5	4	-6	-8.1	8
13	Le Havre	9	2	1	6	-8	-5.8	7
14	Brest	9	2	0	7	-12	-11.4	6
15	Auxerre	9	1	1	7	-11	-9.9	4
16	St Etienne	10	0	2	8	-23	-19.3	2
17	Rennes	8	0	1	7	-12	-4.9	1
18	Montpellier	8	0	0	8	-17	-11.1	0

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.