Menu
FREE
Register, follow the LINK and activate all functions for free using the promo code UNIONSTAT
Prematch
631 match for the next two days
Malta
Gibraltar
0
:
0
Start: 21:45
Wales
Norway
0
:
0
Start: 21:45
Denmark
Portugal
0
:
0
Start: 21:45
FREE
Register, follow the LINK and activate all functions for free using the promo code UNIONSTAT

Paris Saint Germain - Nice 13.03.2024 23:10: score, statistics, forecasts

Finished
3
1
1st half 2:1
2nd half 1:0
13.03.2024 23:10
Coupe de France
2023/2024 | France
Parc des Princes
Home Team Position: 1 (+1)
Away Team Position: 2 (-1)
Meeting Statistics
We have detailed tables with filters where you can track average values
Team H A
Avg. goals per match 3.05 2
Avg. corners per match 10.55 9.45
Avg. yellow cards per match 4.38 3.93
Avg. red cards per match 0 0
Paris Saint Germain Nice
Match prediction value
We'll calculate your match prediction's statistical value
Calculate
Trend Search
Specify the probability of a hit, and the tool will calculate what the total should be
To search
League & referee
We have detailed statistics not only on events, but also on referees and leagues
Coupe de France Referee François Letexier

LIVE match center

Goals
130.43% from average (2.3)
3
1
90.91% from average (1.1)
Corner
80.65% from average (6.2)
5
5
81.3% from average (6.15)
Fouls
89.29% from average (11.2)
10
4
32.65% from average (12.25)
62.92% from average (22.25)
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 Nice
Goals per match average
3.05 2
Team goals per match average
2.3 1.1
Opponent goals per match average
0.75 0.9
Corners per match average
10.55 9.45
Team corners per match average
6.2 6.15
Opponent corners per match average
4.35 3.3
Yellow cards per match average
4.38 3.93

Referee stats

Average referee statistics at the start of the match. For detailed statistics with filters, click here.
Average fouls per game
24.2
Home team fouls per match average
12.6
Away team fouls per match average
11.6
Average yellow cards per match
3.93
Home Team Yellow Cards per Match
2.21
Away team yellow cards per match average
2.22
Red cards per match average
0

Interesting facts about the team Paris Saint Germain

General
Paris Saint Germain
Opponents

Interesting facts about the team Nice

General
Nice
Opponents

Brief Overview

Paris Saint Germain - Nice, match scheduled for 13.03.2024. The referee appointed for this match is François Letexier. The clubs do not meet in cups, but their league matches can be seen quite often: Ligue 1, Coupe de France. For 10 seasons the teams have been facing each other.

This is the LIVE match center Paris Saint Germain - Nice 13.03.2024

Detailed match statistics, match events, and team lineups

Match Statistics

Goals
130% from average (2.3)
3
1
91% from average (1.1)
Possession
102% from average (63.6)
65%
35%
65% from average (54.2)
Corner
81% from average (6.2)
5
5
81% from average (6.15)
Yellow cards
0% from average (1.72)
0
0
0% from average (1.75)
0% from average (4.81)
Red cards
0% from average (0.5)
0
0
0% from average (1)
- from average (0)
Fouls
89% from average (11.2)
10
4
33% from average (12.25)
63% from average (22.25)
Shots on goal
117% from average (15.45)
18
15
106% from average (14.15)
Shots on target
96% from average (6.25)
6
4
81% from average (4.95)
Shots Off Target
132% from average (5.3)
7
7
131% from average (5.35)
Blocked Shots
125% from average (4)
5
4
99% from average (4.05)
Shots from the penalty area
155% from average (10.3)
16
12
128% from average (9.4)
Shots from outside the penalty area
39% from average (5.15)
2
3
63% from average (4.75)
Passes
115% from average (637.25)
735
388
76% from average (508.6)
Successful passes
117% from average (567.05)
662
331
75% from average (443.3)
Passing accuracy
102% from average (88.4)
90%
85%
98% from average (86.85)
Attacks
120% from average (122.1)
147
90
86% from average (105.25)
Dangerous Attacks
101% from average (66.15)
67
50
110% from average (45.5)
Offsides
0% from average (2.35)
0
1
64% from average (1.56)
Saves
85% from average (3.55)
3
3
120% from average (2.5)
Substitutions
76% from average (3.95)
3
7
156% from average (4.5)
Goal kicks
0% from average (5.76)
0
1
18% from average (5.67)
Goal Attempts
122% from average (10.63)
13
9
90% from average (10)
Free Kicks
0% from average (15.33)
0
0
- from average (0)
Throw-ins
72% from average (18)
13
11
62% from average (17.85)
Ball Safe
142% from average (86)
122
93
130% from average (71.55)

Match Progress

The match has begun - the first half is underway
0
:
0
Goal
14’
Kylian Mbappé 
1
:
0
Goal
14’
Kylian Mbappé 
2
:
0
Goal
33’
Fabián Ruiz
3
:
0
Goal
33’
Fabián Ruiz
4
:
0
Goal
37’
Gaëtan Laborde
4
:
1
Goal
37’
Gaëtan Laborde
4
:
2
The match has continued - the second half is underway
4
:
2
Goal
60’
Lucas Beraldo
5
:
2
Goal
60’
Lucas Beraldo
6
:
2
Substitution
66’
Gaëtan Laborde
Terem Moffi
Substitution
74’
Gonçalo Ramos
Bradley Barcola
Substitution
77’
Evann Guessand
Mohamed-Ali Cho
Substitution
77’
Morgan Sanson
Alexis Claude-Maurice
Substitution
83’
Lucas Beraldo
Danilo Pereira
Substitution
83’
Fabián Ruiz
Manuel Ugarte
Substitution
87’
Jordan Lotomba
Antoine Mendy
Substitution
87’
Melvin Bard
Romain Perraud
Match finished
6
:
2

Starting lineups

№
Player
99
Gianluigi Donnarumma
~
~
~
~
33
Warren Zaïre-Emery
~
~
~
+3
21
Lucas Hernández
~
~
~
+1
35
Lucas Beraldo
~
~
1
+3
25
Nuno Mendes
~
~
~
+2
19
Kang-in Lee
~
~
~
+3
17
Vitinha
~
~
~
+2
8
Fabián Ruiz
~
~
1
+4
10
Ousmane Dembélé
~
~
~
+3
9
Gonçalo Ramos
~
~
~
+2
7
Kylian Mbappé
~
~
1
+3
№
Player
1
Marcin Bulka
~
~
~
~
23
Jordan Lotomba
~
~
~
+2
6
Jean-Clair Todibo
~
~
~
+1
4
Dante
~
~
~
+1
26
Melvin Bard
~
~
~
+1
11
Morgan Sanson
~
~
~
+1
8
Pablo Rosario
~
~
~
+2
19
Khéphren Thuram
~
~
~
+3
24
Gaëtan Laborde
~
~
1
+3
29
Evann Guessand
~
~
~
+4
7
Jérémie Boga
~
~
~
+1

Substitutions

№
Player
99
Gianluigi Donnarumma
~
~
~
~
21
Lucas Hernández Pi
~
~
~
~
25
Nuno Mendes
~
~
~
~
35
Lucas Lopes Beraldo
~
~
~
~
8
Fabián Ruiz Peña
~
~
~
~
17
Vitor Machado Ferreira
~
~
~
~
19
Kang-In Lee
~
~
~
~
33
Warren Zaire Emery
~
~
~
~
10
Ousmane Dembélé
~
~
~
~
7
Kylian Mbappé Lottin
~
~
~
~
9
Goncalo Matias Ramos
~
~
~
~
15
Danilo Luís Hélio Pereira
~
~
~
~
4
Manuel Ugarte Ribeiro
~
~
~
~
1
Keylor Navas Gamboa
~
~
~
~
29
Bradley Barcola
~
~
~
~
2
Achraf Hakimi Mouh
~
~
~
~
26
Nordi Mukiele Mulere
~
~
~
~
23
Randal Kolo Muani
~
~
~
~
41
Senny Mayulu
~
~
~
~
28
Carlos Soler Barragán
~
~
~
~
№
Player
1
Marcin Bulka
~
~
~
~
4
Dante Bonfim da Costa Santos
~
~
~
~
23
Jordan Lotomba
~
~
~
~
6
Jean-Clair Todibo
~
~
~
~
26
Melvin Bard
~
~
~
~
11
Morgan Sanson
~
~
~
~
8
Pablo Paulino Rosario
~
~
~
~
19
Khéphren Thuram-Ulien
~
~
~
~
24
Gaëtan Laborde
~
~
~
~
7
Jeremie Boga
~
~
~
~
29
Evann Guessand
~
~
~
~
27
Aliou Badara Balde
~
~
~
~
18
Alexis Claude Maurice
~
~
~
~
31
Maxime Dupé
~
~
~
~
32
Tom Alexis Louchet
~
~
~
~
15
Romain Perraud
~
~
~
~
25
Mohamed-Ali Cho
~
~
~
~
9
Terem Igobor Moffi
~
~
~
~
33
Antoine Mendy
~
~
~
~
39
Daouda Traoré
~
~
~
~

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 - Nice 13.03.2024

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 UNION STAT. 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 Saint Germain and Nice before the match 13.03.2024

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 - Nice 13.03.2024

This tool uses the entered probability to show which trend works at that probability for teams, referees, and the league. Learn more about how this tool works