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Paris - Paris Saint Germain 17.05.2026 22:00: score, statistics, forecasts

Completed
2
1
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1 half 0:0
2 half 2:1
17.05.2026 22:00
Ligue 1
34 | 2025/2026 | France
Stade Jean Bouin
Hosts' position: 11 (-10)
Guests' Position: 1 (+10)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 2.5 3.5
Avg. angles per match 10.1 9.7
Avg. yellow cards per match 3.5 2.25
Avg. KK per match 0 0
Paris Paris Saint Germain
Match prediction value
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Trend Search
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League & referee
We have detailed statistics not only on events, but also on referees and championships
Ligue 1 Referee Guillaume Paradis

LIVE match center

Goals
142.86% from average (1.4)
2
1
41.67% from average (2.4)
Corner
73.17% from average (4.1)
3
3
50% from average (6)
Fouls
77.67% from average (10.3)
8
9
105.88% from average (8.5)
70.69% from average (24.05)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
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Top loads

+10%
4.1
4.5
Winner Draw
Office: bet365
+5%
1.53
1.6
Winner Paris Saint Germain
Office: bet365
+3%
4.75
4.89
Winner Paris
Office: Pinnacle
+2%
4.57
4.68
Winner Draw
Office: Pinnacle
+1%
1.61
1.62
Winner Paris Saint Germain
Office: Marathonbet
+1%
1.6
1.62
Winner Paris Saint Germain
Office: Pinnacle
+1%
1.64
1.65
Winner Paris Saint Germain
Office: 1xbet
Office
1
X
2
bet365
4.75
-16%
4.5
+10%
1.6
+5%
Marathonbet
5
-1%
4.65
-1%
1.62
+1%
Pinnacle
4.89
+3%
4.68
+2%
1.62
+1%
1xbet
5.08
-1%
4.72
-1%
1.65
+1%
Loads and Coefficients

Team metrics

We try to show statistics for the last 20 matches, if that's what we have in our database. Also, when showing statistics for corners, shots, offsides, fouls, attacks, and passes, we exclude matches with zero results for these parameters from the calculations to ensure a more accurate picture, as these stats are not recorded for all leagues
Team
Paris Paris Saint Germain
Goals per match average
2.5 3.5
Team goals per match average
1.4 2.4
Opponent goals per match average
1.1 1.1
Corners per match average
10.1 9.7
Team corners per match average
4.1 6
Opponent corners per match average
6 3.7
Yellow cards per match average
3.5 2.25

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
18.25
Home team fouls per match average
9.75
Away team fouls per match average
8.5
Average yellow cards per match
2.25
Hosts' yellow cards average per match
1.25
Away team yellow cards per match average
1
Red cards per match average
0

Interesting facts about the team Paris

General
Paris
Opponents

Interesting facts about the team Paris Saint Germain

General
Paris Saint Germain
Opponents

Brief Overview

Paris Saint Germain will play away against Paris 17.05.2026. The referee will be Guillaume Paradis. The clubs do not meet in cups, but their league matches can be seen quite often: Ligue 1, Coupe de France, Club Friendlies 1. It is possible to analyze how the match will go, as the teams have already played each other over 3 last seasons. According to bookmakers, the win will go to Paris Saint Germain — with odds of just 1.62.

This is the LIVE match center Paris - Paris Saint Germain 17.05.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
143% from average (1.4)
2
1
42% from average (2.4)
Possession
78% from average (47.5)
37%
63%
97% from average (64.95)
Corner
73% from average (4.1)
3
3
50% from average (6)
Yellow cards
103% from average (1.95)
2
1
95% from average (1.05)
74% from average (4.05)
Red cards
0% from average (0.05)
0
0
- from average (0)
0% from average (0.15)
Fouls
78% from average (10.3)
8
9
106% from average (8.5)
71% from average (24.05)
Shots on goal
157% from average (10.8)
17
9
51% from average (17.55)
Shots on target
225% from average (4)
9
2
29% from average (6.8)
Blows past
115% from average (4.35)
5
4
72% from average (5.55)
Blocked Punches
122% from average (2.45)
3
3
58% from average (5.2)
Shots from the penalty area
204% from average (7.35)
15
6
54% from average (11.15)
Shots from outside the penalty area
58% from average (3.45)
2
3
47% from average (6.4)
Passes
91% from average (435.3)
395
682
104% from average (656.05)
Successful passes
93% from average (361.45)
336
615
104% from average (589.55)
Passing accuracy
104% from average (82.1)
85%
90%
101% from average (88.8)
Attacks
120% from average (87.7)
105
100
83% from average (120.15)
Dangerous Attacks
92% from average (38)
35
40
66% from average (60.45)
Offsides
400% from average (1.75)
7
2
111% from average (1.8)
Saves
31% from average (3.2)
1
7
259% from average (2.7)
Substitutions
130% from average (4.6)
6
6
150% from average (4)
Goal kicks
50% from average (10.05)
5
8
131% from average (6.1)
Trying to score
167% from average (6.6)
11
6
49% from average (12.35)
Free Kicks
95% from average (9.45)
9
8
80% from average (10.05)
Outs
116% from average (16.45)
19
12
70% from average (17.15)
Playing Safely with a Ball
106% from average (78.3)
83
94
119% from average (78.95)

Match Progress

The match has begun - the first half is underway
0
:
0
Substitution
27’
Ousmane Dembélé
Gonçalo Ramos
The match has continued - the second half is underway
0
:
0
Substitution
46’
Dimitri Lucea
Pedro Fernández
Goal
50’
Bradley Barcola
0
:
1
Substitution
58’
Warren Zaïre-Emery
Kang-in Lee
Substitution
58’
Khvicha Kvaratskhelia
Senny Mayulu
Substitution
58’
Bradley Barcola
Ibrahim Mbaye
Substitution
67’
Marshall Munetsi
Ilan Kebbal
Substitution
67’
Jonathan Ikoné
Alimami Gory
Substitution
67’
Moses Simon
Maxime Lopez
Substitution
68’
Vitinha
João Neves
Substitution
68’
Willem Geubbels
Luca Koleosho
Goal
76’
Alimami Gory
1
:
1
Substitution
77’
Rudy Matondo
Vincent Marchetti
Substitution
84’
Otávio
Hamari Traoré
Yellow Card
90’+1’
Alimami Gory
Goal
90’+4’
Alimami Gory
2
:
1
Match Completed
2
:
1

Starting lineups

Player
35
Kevin Trapp
~
~
~
~
14
Hamari Traoré
~
~
~
~
17
Adama Camara
~
~
~
+3
31
Samir Chergui
~
~
~
+2
42
Diego Coppola
~
~
~
+2
6
Otávio
~
~
~
+2
19
Nhoa Sangui
~
~
~
~
93
Jonathan Ikoné
~
~
~
+4
23
Rudy Matondo
~
~
~
+2
7
Alimami Gory
~
~
~
~
33
Pierre Lees-Melou
~
~
~
+2
10
Ilan Kebbal
~
~
~
~
27
Moses Simon
~
~
~
+4
24
Luca Koleosho
~
~
~
~
18
Marshall Munetsi
~
~
~
+5
9
Willem Geubbels
~
~
~
~
18
Marshall Munetsi
~
~
~
~
9
Willem Geubbels
~
~
~
+4
Player
39
Matvey Safonov
~
~
~
~
89
Renato Marin
~
~
~
~
39
Matvey Safonov
~
~
~
~
24
Senny Mayulu
~
~
~
~
33
Warren Zaïre-Emery
~
~
~
~
6
Ilya Zabarnyi
~
~
~
~
5
Marquinhos
~
~
~
~
6
Ilya Zabarnyi
~
~
~
~
5
Marquinhos
~
~
~
+1
21
Lucas Hernández
~
~
~
~
54
Dimitri Lucea
~
~
~
+2
4
Lucas Beraldo
~
~
~
+1
27
Pedro Fernández
~
~
~
~
87
João Neves
~
~
~
~
19
Kang-in Lee
~
~
~
~
17
Vitinha
~
~
~
~
17
Vitinha
~
~
~
+2
8
Fabián Ruiz
~
~
~
~
27
Pedro Fernández
~
~
~
~
8
Fabián Ruiz
~
~
~
+4
14
Désiré Doué
~
~
~
~
29
Bradley Barcola
~
~
~
~
29
Bradley Barcola
~
~
1
+3
49
Ibrahim Mbaye
~
~
~
~
10
Ousmane Dembélé
~
~
~
~
9
Gonçalo Ramos
~
~
~
~
10
Ousmane Dembélé
~
~
~
~
7
Khvicha Kvaratskhelia
~
~
~
~
7
Khvicha Kvaratskhelia
~
~
~
+2

These are the odds for the match Paris - Paris Saint Germain 17.05.2026

Find the best odds and evaluate the dynamics of betting loads. We offer pre-match odds. We show the top betting loads first, and then coefficients

These are detailed team statistics

We offer team statistics for 8 indicators. Fill in the filters below to see a list of matches and summary data for home and away teams

These are the referee's detailed match statistics Paris - Paris Saint Germain 17.05.2026

We offer referee statistics on 3 indicators. Fill in the filters below to see the match list and summary data

These are machine learning-based predictions (Machine Learning, ML)

ML predictions are an exclusive and unique feature of 4SCORE. Our servers run special mathematical algorithms that calculate the strength of teams and perform analysis based on pseudo-random event prediction algorithms. We do not accept these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!

Select a market to show match predictions for

Select bookmakers

Match prediction value calculator

Thinking about your prediction for this match? Check the bookmaker's odds value using the calculator to determine whether a bet is worth making. The calculator will show the statistical probability of a winning bet and compare it to the probability implied by the bookmaker's odds. Learn more about how this tool works and become familiar with the algorithm for calculating the statistical rating.

These are detailed statistics of head-to-head meetings Paris and Paris Saint Germain before the match 17.05.2026

We offer team statistics for 8 indicators. Fill in the filters below to see the match list and summary data

This tool will help you find the right trend for a match Paris - Paris Saint Germain 17.05.2026

This tool, based on the entered probability, will show the trend operating within that probability for teams, referees, and championships. Learn more about how this tool works