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Paris Saint Germain - Chelsea 11.03.2026 23:00: score, statistics, forecasts

Completed
5
2
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1 half 2:1
2 half 3:1
11.03.2026 23:00
Champions League
2025/2026 | Europe
Parc des Princes
Hosts' position: 2 (-1)
Guests' Position: 1 (+1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team Owners Guests
Avg. goals per match 3.1 3.55
Avg. angles per match 9.5 11.15
Avg. yellow cards per match 3.5 5.11
Avg. KK per match 0 0.67
Paris Saint Germain Chelsea
Match prediction value
We'll calculate your match prediction's statistical value
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Specify the probability of a hit, and the tool will calculate what the total should be
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League & referee
We have detailed statistics not only on events, but also on referees and championships
Champions League Referee Alejandro José Hernández Hernández

LIVE match center

Goals
243.9% from average (2.05)
5
2
93.02% from average (2.15)
Corner
31.5% from average (6.35)
2
3
46.88% from average (6.4)
Fouls
160% from average (8.75)
14
7
67.96% from average (10.3)
92.11% from average (22.8)
In the Live Center, we publish team match statistics, lineups, substitutions, and player stats. The information available depends on the specific championship coverage
Visit the LIVE Center

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 Chelsea
Goals per match average
3.1 3.55
Team goals per match average
2.05 2.15
Opponent goals per match average
1.05 1.4
Corners per match average
9.5 11.15
Team corners per match average
6.35 6.4
Opponent corners per match average
3.15 4.75
Yellow cards per match average
3.5 5.11

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
21.55
Home team fouls per match average
10.65
Away team fouls per match average
10.9
Average yellow cards per match
5.11
Hosts' yellow cards average per match
2.53
Away team yellow cards per match average
2.6
Red cards per match average
0.67

Interesting facts about the team Paris Saint Germain

General
Paris Saint Germain
Opponents

Interesting facts about the team Chelsea

General
Chelsea
Opponents

Brief Overview

Paris Saint Germain - Chelsea, match scheduled for 11.03.2026. This match will be officiated by Alejandro José Hernández Hernández. Champions League is the only league where the clubs have faced each other, having never met in any cup. The teams have few head-to-head meetings so far — they have only played each other over one season.

This is the LIVE match center Paris Saint Germain - Chelsea 11.03.2026

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
244% from average (2.05)
5
2
93% from average (2.15)
Possession
86% from average (67.75)
58%
42%
69% from average (60.8)
Corner
31% from average (6.35)
2
3
47% from average (6.4)
Yellow cards
119% from average (0.84)
1
0
0% from average (2.75)
22% from average (4.63)
Red cards
- from average (0)
0
0
0% from average (0.33)
- from average (0)
Fouls
160% from average (8.75)
14
7
68% from average (10.3)
92% from average (22.8)
Shots on goal
45% from average (19.9)
9
9
63% from average (14.3)
Shots on target
111% from average (7.2)
8
4
75% from average (5.3)
Blows past
0% from average (7.45)
0
3
63% from average (4.8)
Blocked Punches
19% from average (5.25)
1
2
48% from average (4.2)
Shots from the penalty area
45% from average (13.3)
6
8
82% from average (9.7)
Shots from outside the penalty area
43% from average (6.95)
3
1
22% from average (4.6)
Passes
84% from average (699.75)
587
419
69% from average (609.3)
Successful passes
82% from average (635.5)
518
350
64% from average (542.7)
Passing accuracy
97% from average (90.7)
88%
84%
95% from average (88.4)
Attacks
75% from average (131)
98
77
71% from average (107.75)
Dangerous Attacks
85% from average (67.2)
57
27
49% from average (54.8)
Offsides
141% from average (1.42)
2
2
159% from average (1.26)
Saves
95% from average (2.1)
2
3
100% from average (3)
Substitutions
105% from average (3.8)
4
3
66% from average (4.55)
Goal kicks
56% from average (5.4)
3
5
92% from average (5.45)
Trying to score
64% from average (14.16)
9
6
65% from average (9.25)
Free Kicks
84% from average (10.75)
9
16
130% from average (12.35)
Outs
74% from average (16.3)
12
26
176% from average (14.75)
Playing Safely with a Ball
95% from average (83.25)
79
88
115% from average (76.7)

xG Metrics

Expected goals ( xG )
0
0
Open Play xG
0
0
Set Play xG
0
0
xG per 90
0
0
Penalty xG
0
0
Headed xG
0
0
Face-off xG
0
0
Missed xG
0
0
Defensive Action xG
0
0
xG Ratio
0
0
Opponent xG
0
0

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
10’
Bradley Barcola
1
:
0
Goal
28’
Malo Gusto
1
:
1
Goal
40’
Ousmane Dembélé
2
:
1
The match has continued - the second half is underway
2
:
1
Goal
57’
Enzo Fernández
2
:
2
Substitution
62’
Désiré Doué
Khvicha Kvaratskhelia
Substitution
69’
Ousmane Dembélé
Kang-in Lee
Goal
74’
Vitinha
3
:
2
Substitution
77’
Warren Zaïre-Emery
Lucas Hernández
Substitution
78’
Bradley Barcola
Senny Mayulu
Substitution
83’
João Pedro
Liam Delap
Substitution
83’
Cole Palmer
Roméo Lavia
Goal
86’
Khvicha Kvaratskhelia
4
:
2
Yellow Card
88’
Khvicha Kvaratskhelia
Substitution
88’
Malo Gusto
Alejandro Garnacho
Goal
90’+4’
Khvicha Kvaratskhelia
5
:
2
Match Completed
5
:
2

Starting lineups

Player
39
Matvey Safonov
~
~
~
~
2
Achraf Hakimi
~
~
~
+2
5
Marquinhos
~
~
~
+1
51
Willian Pacho
~
~
~
+2
25
Nuno Mendes
~
~
~
+2
33
Warren Zaïre-Emery
~
~
~
+1
17
Vitinha
~
~
1
+4
27
Pedro Fernández
~
~
~
~
87
João Neves
~
~
~
+2
14
Désiré Doué
~
~
~
+3
10
Ousmane Dembélé
~
~
1
+3
7
Khvicha Kvaratskhelia
~
~
~
~
29
Bradley Barcola
~
~
~
~
29
Bradley Barcola
~
~
1
+4
Player
1
Robert Sánchez
~
~
~
~
12
Filip Jørgensen
~
~
~
~
27
Malo Gusto
~
~
~
~
27
Malo Gusto
~
~
1
+3
29
Wesley Fofana
~
~
~
+1
23
Trevoh Chalobah
~
~
~
~
3
Marc Cucurella
~
~
~
+1
24
Reece James
~
~
~
+1
25
Moisés Caicedo
~
~
~
+2
10
Cole Palmer
~
~
~
+3
8
Enzo Fernández
~
~
1
+5
7
Pedro Neto
~
~
~
~
20
João Pedro
~
~
~
+4

Substitutions

Player
4
Lucas Beraldo
~
~
~
~
6
Ilya Zabarnyi
~
~
~
~
7
Khvicha Kvaratskhelia
~
~
~
+4
9
Gonçalo Ramos
~
~
~
~
19
Kang-in Lee
~
~
~
~
21
Lucas Hernández
~
~
~
+1
24
Senny Mayulu
~
~
~
~
27
Pedro Fernández
~
~
~
~
30
Lucas Chevalier
~
~
~
~
49
Ibrahim Mbaye
~
~
~
~
89
Renato Marin
~
~
~
~
Player
17
Andrey Santos
~
~
~
~
1
Robert Sánchez
~
~
~
~
4
Tosin Adarabioyo
~
~
~
~
5
Benoît Badiashile
~
~
~
~
9
Liam Delap
~
~
~
+3
19
Mamadou Sarr
~
~
~
~
21
Jorrel Hato
~
~
~
~
34
Josh Acheampong
~
~
~
~
38
Marc Guiu
~
~
~
~
45
Roméo Lavia
~
~
~
~
49
Alejandro Garnacho
~
~
~
~
50
Max Merrick
~
~
~
~

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 - Chelsea 11.03.2026

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 Chelsea before the match 11.03.2026

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 - Chelsea 11.03.2026

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