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Paris Saint Germain - Lorient 02.05.2026 18:00: score, statistics, forecasts

Completed
2
2
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1 half 1:1
2 half 1:1
02.05.2026 18:00
Ligue 1
32 | 2025/2026 | France
Parc des Princes
Hosts' position: 1 (+8)
Guests' Position: 9 (-8)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 3.6 2.75
Avg. angles per match 9 9.3
Avg. yellow cards per match 2.15 3.6
Avg. KK per match 0 0
Paris Saint Germain Lorient
Match prediction value
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League & referee
We have detailed statistics not only on events, but also on referees and championships
Ligue 1 Referee Bastien Dechepy

LIVE match center

Goals
78.43% from average (2.55)
2
2
114.29% from average (1.75)
Corner
224.3% from average (5.35)
12
2
50.63% from average (3.95)
Fouls
101.12% from average (8.9)
9
7
81.4% from average (8.6)
63.62% from average (25.15)
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

+5%
1.3
1.36
Winner Paris Saint Germain
Office: bet365
+5%
1.31
1.37
Winner Paris Saint Germain
Office: Marathonbet
+5%
1.29
1.36
Winner Paris Saint Germain
Office: Pinnacle
+5%
1.33
1.39
Winner Paris Saint Germain
Office: 1xbet
Office
1
X
2
bet365
1.36
+5%
5.75
~
7
-14%
Marathonbet
1.37
+5%
5.55
-9%
8.2
-18%
Pinnacle
1.36
+5%
5.66
-5%
8
-5%
1xbet
1.39
+5%
5.64
-9%
8.3
-19%
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 Saint Germain Lorient
Goals per match average
3.6 2.75
Team goals per match average
2.55 1.75
Opponent goals per match average
1.05 1
Corners per match average
9 9.3
Team corners per match average
5.35 3.95
Opponent corners per match average
3.65 5.35
Yellow cards per match average
2.15 3.6

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
21.05
Home team fouls per match average
10.65
Away team fouls per match average
10.4
Average yellow cards per match
3.6
Hosts' yellow cards average per match
1.9
Away team yellow cards per match average
1.7
Red cards per match average
0

Interesting facts about the team Paris Saint Germain

General
Paris Saint Germain
Opponents

Interesting facts about the team Lorient

General
Lorient
Opponents

Brief Overview

Paris Saint Germain - Lorient, match scheduled for 02.05.2026. The referee appointed for this match is Bastien Dechepy. The clubs do not meet in cups, but their league matches can be seen quite often: Ligue 1, Coupe de France. It is possible to analyze how the match will go, as the teams have already played each other over 7 last seasons. Bookmakers expect the home side to win, offering odds of 7.88 for an away win — Lorient.

This is the LIVE match center Paris Saint Germain - Lorient 02.05.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
78% from average (2.55)
2
2
114% from average (1.75)
Possession
102% from average (66.5)
68%
32%
66% from average (48.6)
Corner
224% from average (5.35)
12
2
51% from average (3.95)
Yellow cards
105% from average (0.95)
1
1
80% from average (1.25)
47% from average (4.25)
Red cards
0% from average (0.05)
0
0
0% from average (0.05)
0% from average (0.3)
Fouls
101% from average (8.9)
9
7
81% from average (8.6)
64% from average (25.15)
Shots on goal
135% from average (17.75)
24
5
41% from average (12.2)
Shots on target
86% from average (7)
6
3
71% from average (4.25)
Blows past
169% from average (5.9)
10
2
35% from average (5.7)
Blocked Punches
165% from average (4.85)
8
0
0% from average (2.25)
Shots from the penalty area
126% from average (11.95)
15
4
55% from average (7.3)
Shots from outside the penalty area
155% from average (5.8)
9
1
20% from average (4.9)
Passes
92% from average (670.9)
619
291
64% from average (456.4)
Successful passes
93% from average (607)
565
234
60% from average (390.2)
Passing accuracy
101% from average (90)
91%
80%
95% from average (84.55)
Attacks
107% from average (120.9)
129
44
52% from average (84.2)
Dangerous Attacks
137% from average (61.4)
84
12
28% from average (42.85)
Offsides
57% from average (1.75)
1
2
121% from average (1.65)
Saves
43% from average (2.35)
1
4
163% from average (2.45)
Substitutions
77% from average (3.9)
3
4
89% from average (4.5)
Goal kicks
54% from average (5.6)
3
15
178% from average (8.45)
Trying to score
110% from average (12.7)
14
6
76% from average (7.9)
Free Kicks
68% from average (10.25)
7
9
73% from average (12.35)
Outs
168% from average (16.1)
27
10
70% from average (14.25)
Playing Safely with a Ball
60% from average (81.8)
49
71
101% from average (70)

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
6’
Ibrahim Mbaye
1
:
0
Goal
12’
Pablo Pagis
1
:
1
The match has continued - the second half is underway
1
:
1
Yellow Card
47’
Lucas Hernández
Substitution
61’
Fabián Ruiz
Warren Zaïre-Emery
Goal
62’
Warren Zaïre-Emery
2
:
1
Substitution
62’
Ibrahim Mbaye
João Neves
Substitution
72’
Pablo Pagis
Karim Dermane
Substitution
72’
Bamba Dieng
Aiyegun Tosin
Substitution
73’
Arthur Avom
Jean-Victor Makengo
Substitution
75’
Désiré Doué
Pierre Mounguengue
Goal
78’
Aiyegun Tosin
2
:
2
Substitution
80’
Panos Katseris
Darlin Yongwa
Yellow Card
90’
Darlin Yongwa
Match Completed
2
:
2

Starting lineups

Player
39
Matvey Safonov
~
~
~
~
89
Renato Marin
~
~
~
+1
33
Warren Zaïre-Emery
~
~
~
~
24
Senny Mayulu
~
~
~
+2
4
Lucas Beraldo
~
~
~
+1
5
Marquinhos
~
~
~
~
5
Marquinhos
~
~
~
~
51
Willian Pacho
~
~
~
+1
21
Lucas Hernández
~
1
~
+3
19
Kang-in Lee
~
~
~
+3
24
Senny Mayulu
~
~
~
~
8
Fabián Ruiz
~
~
~
+1
17
Vitinha
~
~
~
~
27
Pedro Fernández
~
~
~
+3
49
Ibrahim Mbaye
~
~
1
+2
10
Ousmane Dembélé
~
~
~
~
14
Désiré Doué
~
~
~
+4
29
Bradley Barcola
~
~
~
+2
Player
38
Yvon Mvogo
~
~
~
~
5
Bamo Meïté
~
~
~
~
32
Nathaniel Adjei
~
~
~
+2
3
Montassar Talbi
~
~
~
+1
25
Abdoulaye Faye
~
~
~
~
32
Nathaniel Adjei
~
~
~
~
3
Montassar Talbi
~
~
~
~
44
Darlin Yongwa
~
~
~
~
77
Panos Katseris
~
~
~
+1
6
Laurent Abergel
~
~
~
+2
8
Noah Doriann Cadiou
~
~
~
+1
43
Arsène Kouassi
~
~
~
~
17
Jean-Victor Makengo
~
~
~
~
62
Arthur Avom
~
~
~
+2
10
Pablo Pagis
~
~
1
+3
12
Bamba Dieng
~
~
~
+2

These are the odds for the match Paris Saint Germain - Lorient 02.05.2026

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 Saint Germain - Lorient 02.05.2026

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!

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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 Saint Germain and Lorient before the match 02.05.2026

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 Saint Germain - Lorient 02.05.2026

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