• Football
• Leagues
• France
• Ligue 1
• Nice x Paris Saint-Germain

Nice - Paris Saint-Germain 21.03.2026

• 21/03/26 16:05 |
  Round 27
• Nice
  • 0 : 4
  • Finished
  Paris Saint-Germain

  Mendes N. - 42'

  Doue D. - 49'

  Fernandez P. - 81'

  Zaire-Emery W. - 85'

Summary Lineups Player Statistics

NIC

Match details

PSG

1st Half 0:1

16 Mayulu S.

42 Mendes N.

43 Beraldo Out: Mayulu S.

2nd Half 0:3

49 Doue D. Assist: Mendes N.

61 Ndayishimiye Y.

64 Dembele O. Out: Kang-in L.

65 Boudache K. Out: Diop S.

71 Abdi A. Out: Dante

72 Carlos K. Out: Wahi S.

76 Mbaye I. Out: Kvaratskhelia K.

76 Ramos G. Out: Doue D.

76 Fernandez P. Out: Mendes N.

81 Fernandez P. Assist: Dembele O.

85 Zaire-Emery W. Assist: Zaire-Emery W.

NIC

Statistics

PSG

0.24

Expected goals (xG) Expected goals xG - measures the quality of a scoring chance and the probability of it becoming a goal. It's calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team's total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.

4.14

26 %

Ball possession

74 %

0

Big chances Big chances - counts clear scoring opportunities where a goal is highly expected. These are situations like one-on-one with the goalkeeper, close-range shots with little defensive pressure, or shots into an open goal.

8

• 1.4 0.9 1
• Goals scored per match
• 2.4 1.9 2.6

• 1.6 1.6 1.5
• Goals conceded per match
• 1.2 1 1.3

• 30' 36' 36'
• Minutes/Goal scored
• 25' 31' 23.1'

Full Stats

NIC

H2H Stats

PSG

All tournaments Ligue 1 Coupe de France 5 matches 10 matches 15 matches All matches 5 matches 10 matches 15 matches All matches 5 matches

• 20% 1wins
• 20% 1draws
• 60% 3wins

More H2H

Chat

Be the first to leave a comment

Go to chat

Top Scorers

Nice

France Ligue 1

#

Goals

• 10 Diop S.
  8
• 11 Wahi S.
  7
• 25 Cho M.
  4
• 20 Louchet T.
  3
• 2 Abdi A.
  3

Paris Saint-Germain

France Ligue 1

#

Goals

• 29 Barcola B.
  11
• 10 Dembele O.
  10
• 7 Kvaratskhelia K.
  8
• 14 Doue D.
  7
• 9 Ramos G.
  6

Show full top scorers

Match facts

The most common result of matches between OGC Nice and Paris Saint-Germain when OGC Nice is playing at home is 1-0. 5 matches have ended with this result.

The most common result of matches between OGC Nice and Paris Saint-Germain is 1-2. 9 matches have ended with this result.

During the last 26 meetings with OGC Nice playing at home, OGC Nice have won 8 times, there have been 4 draws while Paris Saint-Germain have won 14 times. The goal difference is 40-20 in favour of Paris Saint-Germain.

During the last 56 meetings, OGC Nice have won 15 times, there have been 12 draws while Paris Saint-Germain have won 29 times. The goal difference is 92-53 in favour of Paris Saint-Germain.

Last season's matches: 1-1 (OGC Nice at home) and 1-3 (Paris Saint-Germain at home).

Did you know that OGC Nice scores 25% of their goals between the minutes 31-45?

Did you know that Paris Saint-Germain scores 22% of their goals between the minutes 76-90?

OGC Nice haven't scored in 4 of their 13 home matches in Ligue 1 this season.

Paris Saint-Germain haven't scored in 2 of their 13 away matches in Ligue 1 this season.

OGC Nice's home record this season: 4-5-4.

Sofiane Diop is OGC Nice's top scorer with 7 goals. Bradley Barcola has scored 10 times for Paris Saint-Germain.

Jonathan Clauss has assisted the most goals for OGC Nice with 5. Vitor Machado Ferreira is Paris Saint-Germain's biggest assister (8).

A year ago, OGC Nice were number 4 in the table with 47 points. Now they are number 15 with 27 points.

Paris Saint-Germain have scored at least one goal for 14 consecutive matches.

OGC Nice wins 1st half in 33% of their matches, Paris Saint-Germain in 50% of their matches.

OGC Nice wins 33% of halftimes, Paris Saint-Germain wins 50%.

The winner of their last meeting was Paris Saint-Germain.

On their last meeting Paris Saint-Germain won by 1 goals.

When OGC Nice leads 1-0 at home, they win in 75% of their matches.

When Paris Saint-Germain leads 0-1 away, they win in 77% of their matches.

When OGC Nice is down 0-1 home, they win 7% of their matches.

When Paris Saint-Germain is down 1-0 away, they win 40% of their matches.

In Ligue 1, Paris Saint-Germain has better performance than OGC Nice.

Paris Saint-Germain's performance of the last 5 matches is better than OGC Nice's.

Paris Saint-Germain have lost just 1 of their last 5 games against OGC Nice (in all competitions).

In the last 5 meetings OGC Nice won 1, Paris Saint-Germain won 3, 1 draws.

OGC Nice scores 1.2 goals in a match against Paris Saint-Germain and Paris Saint-Germain scores 1.6 goals against OGC Nice (on average).

Average number of goals in meetings between OGC Nice and Paris Saint-Germain is 2.8.

Average number of goals in the first half in meetings between OGC Nice and Paris Saint-Germain is 1.8.

OGC Nice scores 1.54 goals when playing at home and Paris Saint-Germain scores 2.21 goals when playing away (on average).

Paris Saint-Germain have a winning streak of 3 matches away from home.

Both teams didn't concede on their last match.

More facts

Predictions

As part of the Ligue 1 (France) tournament, the match between teams Nice and Paris Saint-Germain is scheduled. The game will start on 21.03 at 16:05. All sports bettors can follow in-depth Nice Paris Saint-Germain betting tips using the subsequent analysis of teams' statistics and prediction for the match.

4 / 10 of her last matches Nice in all competitions ended in defeat

4 / 10 of last matches Nice in Ligue 1 ended in defeat

7 / 10 of last matches Paris Saint-Germain in all tournaments ended with her victory

8 / 10 of last matches Paris Saint-Germain in Ligue 1 ended with her victory

5 / 10 of last matches between the teams ended in victory Paris Saint-Germain

6 / 10 of last matches in all competitions Nice did not draw

More predictions

NIC

Standings

PSG

France Ligue 1

#	Team	GP	W	D	L	G	GD	P
1	Paris Saint-Germain	34	24	4	6	74:29	45	76
2	RC Lens	34	22	4	8	66:35	31	70
15	Auxerre	34	8	10	16	34:44	-10	34
16	Nice	34	7	11	16	37:60	-23	32
17	Nantes	34	5	9	20	29:52	-23	24

Full Standings

NIC

Line Up

PSG

3-3-2-2 4-1-2-3

Line Up

Starting

7.5 80 Diouf

5.7 33 Mendy 4 Dante 6 28 Bah

4.9 8 Sanson 5.4 6 Boudaoui 4.7 55 Ndayishimiye

6.8 92 Clauss 5.9 26 Bard

6 11 Wahi 6 10 Diop

7.4 39 Safonov

7.7 6 Zabarnyi 7.6 21 Hernandez 6.4 51 Pacho 8.4 25 Mendes

8.5 17 Vitinha

7.7 33 Zaire-Emery 6.4 19 Kang-in

8.1 14 Doue 6.8 24 Mayulu 7.3 7 Kvaratskhelia

NIC

Starting

PSG

Diouf Y. Goalkeeper Bard M. Defender Clauss J. Defender Bah A. Defender Dante 71' Abdi A. Mendy A. Defender Ndayishimiye Y. Midfielder Boudaoui H. Midfielder Sanson M. Midfielder Diop S. 65' Boudache K. Wahi S. 72' Carlos K.

Safonov M. Goalkeeper Zabarnyi I. Defender Hernandez L. Defender Pacho W. Defender Mendes N. 76' Fernandez P. Kang-in L. 64' Dembele O. Mayulu S. 43' Beraldo Vitinha Midfielder Zaire-Emery W. Midfielder Doue D. 76' Ramos G. Kvaratskhelia K. 76' Mbaye I.

NIC

Substitutes

PSG

Dupe M. Goalkeeper Abdi A. 71' Out: Dante Peprah Oppong K. Defender Louchet T. Midfielder Vanhoutte C. Midfielder Boudache K. 65' Out: Diop S. Coulibaly D. Midfielder Gouveia T. Forward Carlos K. 72' Out: Wahi S.

Chevalier L. Goalkeeper Marin R. Goalkeeper Marquinhos Defender Beraldo 43' Out: Mayulu S. Fernandez P. 76' Out: Mendes N. Ramos G. 76' Out: Doue D. Dembele O. 64' Out: Kang-in L. Mbaye I. 76' Out: Kvaratskhelia K. -/-

NIC

Head coach

PSG

Puel C. Coaches

Enrique L. Coaches

Player Statistics

Overall Nice Paris Saint-Germain

Overview

Shots

Attack

Defending

Goalkeeping

Overview

Player	Grade	Minutes played	Goals	xG	Assists	xA	Total shots	Passes	Yellow cards	Red cards
Vitinha Midfielder	8.5	90	-	-	-	0.14	-	98/101(97%)	-	-
Mendes N. Defender	8.4	76	1	0.79	1	0.13	1	37/40(93%)	-	-
Doue D. Forward	8.1	76	1	1.24	-	0.38	6	32/36(89%)	-	-
Zabarnyi I. Defender	7.7	90	-	0.01	-	0.01	1	86/93(92%)	-	-
Zaire-Emery W. Midfielder	7.7	90	1	0.34	-	0.04	2	70/72(97%)	-	-
Hernandez L. Defender	7.6	90	-	-	-	0.02	-	70/76(92%)	-	-
Diouf Y. Goalkeeper	7.5	90	-	-	-	-	-	16/25(64%)	-	-
Dembele O. Forward	7.4	26	-	0.17	1	0.09	3	25/27(93%)	-	-
Safonov M. Goalkeeper	7.4	90	-	-	-	-	-	20/24(83%)	-	-
Kvaratskhelia K. Forward	7.3	76	-	1.16	-	0.09	3	34/41(83%)	-	-
Fernandez D. Midfielder	7.1	14	1	0.42	-	0.01	1	19/20(95%)	-	-
Mayulu S. Midfielder	6.8	43	-	-	-	0.01	-	11/13(85%)	1	-
Beraldo Defender	6.8	47	-	-	-	0.09	-	55/59(93%)	-	-
Clauss J. Defender	6.8	90	-	0.06	-	0.22	2	24/31(77%)	-	-
Kang-in L. Midfielder	6.4	64	-	-	-	0.04	-	26/30(87%)	-	-
Pacho W. Defender	6.4	90	-	-	-	0.01	-	78/82(95%)	-	-
Ramos G. Forward	6.4	14	-	-	-	0.03	-	6/6(100%)	-	-
Mbaye I. Forward	6.3	14	-	-	-	0.01	-	8/9(89%)	-	-
Abdi A. Defender	6.1	19	-	-	-	-	-	5/5(100%)	-	-
Carlos K. Forward	6.1	18	-	-	-	-	-	9/10(90%)	-	-
Bah A. Defender	6	90	-	-	-	0.01	-	7/8(88%)	-	-
Diop S. Forward	6	65	-	0.03	-	0.03	1	17/26(65%)	-	-
Wahi S. Forward	6	72	-	-	-	0.02	-	9/12(75%)	-	-
Bard M. Defender	5.9	90	-	0.06	-	0.01	1	16/22(73%)	-	-
Mendy A. Defender	5.7	90	-	-	-	-	-	20/22(91%)	-	-
Boudaoui H. Midfielder	5.4	90	-	-	-	0.01	-	15/17(88%)	-	-
Sanson M. Midfielder	4.9	90	-	0.09	-	0.01	1	15/15(100%)	-	-
Ndayishimiye Y. Midfielder	4.7	61	-	-	-	-	-	13/17(76%)	-	1

xG - measures the quality of a scoring chance and the probability of it becoming a goal. It’s calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team’s total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.

xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.

Shots

Player	Total shots	Shots on target	xGOT	Shots off target	Blocked shots	Shots header	Shots inside the Box	Shots outside the Box
Doue D. Forward	6	2	1.17	3	1	1	6	-
Dembele O. Forward	3	1	0.56	1	1	-	-	3
Kvaratskhelia K. Forward	3	3	0.86	-	-	1	3	-
Clauss J. Defender	2	-	-	-	2	-	1	1
Zaire-Emery W. Midfielder	2	1	0.51	-	1	-	1	1
Bard M. Defender	1	-	-	1	-	1	1	-
Diop S. Forward	1	1	0.03	-	-	-	-	1
Fernandez D. Midfielder	1	1	0.78	-	-	-	1	-
Mendes N. Defender	1	1	0.91	-	-	-	1	-
Sanson M. Midfielder	1	-	-	1	-	-	1	-
Zabarnyi I. Defender	1	1	0.04	-	-	1	1	-
Abdi A. Defender	-	-	-	-	-	-	-	-
Bah A. Defender	-	-	-	-	-	-	-	-
Beraldo Defender	-	-	-	-	-	-	-	-
Boudaoui H. Midfielder	-	-	-	-	-	-	-	-
Carlos K. Forward	-	-	-	-	-	-	-	-
Diouf Y. Goalkeeper	-	-	-	-	-	-	-	-
Hernandez L. Defender	-	-	-	-	-	-	-	-
Kang-in L. Midfielder	-	-	-	-	-	-	-	-
Mayulu S. Midfielder	-	-	-	-	-	-	-	-
Mbaye I. Forward	-	-	-	-	-	-	-	-
Mendy A. Defender	-	-	-	-	-	-	-	-
Ndayishimiye Y. Midfielder	-	-	-	-	-	-	-	-
Pacho W. Defender	-	-	-	-	-	-	-	-
Ramos G. Forward	-	-	-	-	-	-	-	-
Safonov M. Goalkeeper	-	-	-	-	-	-	-	-
Vitinha Midfielder	-	-	-	-	-	-	-	-
Wahi S. Forward	-	-	-	-	-	-	-	-

xGOT - measures the likelihood that a shot on target results in a goal. Unlike xG (which evaluates the chance before the shot), xGOT assesses execution — shot placement, goalkeeper position, etc. — after the ball is struck. Only shots on target are included, each valued 0–1. A team’s total xGOT is the sum of all its on-target shots.

Attack

Player	Touches in the opposition Box	Passes	Big chances created	Big chances missed	Assists	xA	Passes in final third	Touches	Passes long	Crosses	Successful dribbles	Fouled	Offsides
Doue D. Forward	11	32/36(89%)	1	2	-	0.38	11/14(79%)	60	1/1(100%)	-	2/3(67%)	2	-
Kvaratskhelia K. Forward	8	34/41(83%)	1	2	-	0.09	8/13(62%)	54	1/4(25%)	-	1/1(100%)	-	-
Mendes N. Defender	3	37/40(93%)	3	-	1	0.13	11/13(85%)	51	2/4(50%)	-	-	2	1
Clauss J. Defender	2	24/31(77%)	-	-	-	0.22	3/7(43%)	57	2/4(50%)	3/6(50%)	1/2(50%)	-	-
Sanson M. Midfielder	2	15/15(100%)	-	-	-	0.01	2/2(100%)	31	1/1(100%)	-	1/3(33%)	1	-
Wahi S. Forward	2	9/12(75%)	-	-	-	0.02	3/4(75%)	17	-	1/1(100%)	1/1(100%)	-	3
Bard M. Defender	1	16/22(73%)	-	-	-	0.01	7/9(78%)	37	1/3(33%)	-	-	-	-
Beraldo Defender	1	55/59(93%)	-	-	-	0.09	12/16(75%)	64	1/2(50%)	-	-	-	-
Diop S. Forward	1	17/26(65%)	-	-	-	0.03	7/12(58%)	30	3/5(60%)	-	-	-	1
Fernandez D. Midfielder	1	19/20(95%)	-	-	-	0.01	4/5(80%)	22	-	-	-	1	-
Ramos G. Forward	1	6/6(100%)	-	-	-	0.03	2/2(100%)	12	-	-	1/1(100%)	1	-
Zabarnyi I. Defender	1	86/93(92%)	-	-	-	0.01	7/8(88%)	104	3/7(43%)	-	-	1	1
Zaire-Emery W. Midfielder	1	70/72(97%)	-	-	-	0.04	16/16(100%)	87	1/2(50%)	-	1/2(50%)	-	-
Abdi A. Defender	-	5/5(100%)	-	-	-	-	2/2(100%)	7	-	-	1/1(100%)	-	-
Bah A. Defender	-	7/8(88%)	-	-	-	0.01	2/2(100%)	17	-	-	-	-	-
Boudaoui H. Midfielder	-	15/17(88%)	-	-	-	0.01	5/6(83%)	25	-	-	-	2	1
Carlos K. Forward	-	9/10(90%)	-	-	-	-	2/2(100%)	10	-	-	-	-	-
Dembele O. Forward	-	25/27(93%)	1	-	1	0.09	11/12(92%)	31	1/1(100%)	-	-	-	1
Diouf Y. Goalkeeper	-	16/25(64%)	-	-	-	-	-	39	3/12(25%)	-	-	-	-
Hernandez L. Defender	-	70/76(92%)	-	-	-	0.02	10/14(71%)	89	1/2(50%)	-	-	-	-
Kang-in L. Midfielder	-	26/30(87%)	-	-	-	0.04	5/5(100%)	42	1/2(50%)	1/2(50%)	1/2(50%)	3	-
Mayulu S. Midfielder	-	11/13(85%)	-	-	-	0.01	2/2(100%)	22	-	-	1/1(100%)	1	-
Mbaye I. Forward	-	8/9(89%)	-	-	-	0.01	4/5(80%)	15	1/1(100%)	-	1/2(50%)	-	1
Mendy A. Defender	-	20/22(91%)	-	-	-	-	2/2(100%)	30	3/3(100%)	-	-	1	-
Ndayishimiye Y. Midfielder	-	13/17(76%)	-	-	-	-	-	21	1/1(100%)	-	-	-	-
Pacho W. Defender	-	78/82(95%)	-	-	-	0.01	2/3(67%)	84	2/4(50%)	-	-	-	1
Safonov M. Goalkeeper	-	20/24(83%)	-	-	-	-	1/1(100%)	29	1/5(20%)	-	-	-	-
Vitinha Midfielder	-	98/101(97%)	-	-	-	0.14	28/31(90%)	107	8/9(89%)	1/1(100%)	-	-	-

xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.

Defending

Player	Duels	Aerial duels	Ground duels	Foules	Tackles	Interceptions	Clearances	Error leading to goal	Error leading to shot	Own goals
Sanson M. Midfielder	10	-	2/9(22%)	3	-	-	-	-	-	-
Doue D. Forward	9	-	5/9(56%)	2	-	1	-	-	-	-
Boudaoui H. Midfielder	8	-	3/8(38%)	2	-	2	-	-	-	-
Bard M. Defender	7	-	1/6(17%)	2	1/1(50%)	1	-	-	-	-
Kang-in L. Midfielder	7	-	4/6(67%)	-	-	-	-	-	-	-
Kvaratskhelia K. Forward	7	-	2/6(33%)	1	-	-	-	-	-	-
Clauss J. Defender	6	-	4/6(67%)	1	1/3(33%)	3	2	-	-	-
Mayulu S. Midfielder	6	-	4/6(67%)	1	2/2(100%)	-	-	-	-	-
Zabarnyi I. Defender	6	5/5(100%)	1/1(100%)	-	-	2	4	-	-	-
Mendes N. Defender	5	-	2/4(50%)	1	-	1	1	-	-	-
Zaire-Emery W. Midfielder	5	-	2/5(40%)	-	1/1(100%)	-	1	-	-	-
Bah A. Defender	4	-	2/4(50%)	-	1/2(50%)	1	3	-	-	-
Diop S. Forward	4	-	1/2(50%)	-	-	1	-	-	-	-
Mbaye I. Forward	4	-	2/4(100%)	-	-	-	-	-	-	-
Ndayishimiye Y. Midfielder	4	1/1(100%)	-	2	-	2	-	-	-	-
Ramos G. Forward	4	-	3/4(75%)	-	1/1(100%)	-	-	-	-	-
Wahi S. Forward	4	-	2/2(100%)	-	1/1(100%)	-	1	-	-	-
Hernandez L. Defender	3	-	1/2(50%)	-	1/1(100%)	1	-	-	-	-
Mendy A. Defender	3	-	2/3(67%)	-	1/1(100%)	3	1	-	-	-
Beraldo Defender	2	-	1/1(100%)	-	1/1(100%)	3	-	-	-	-
Carlos K. Forward	2	1/1(100%)	-	1	-	-	-	-	-	-
Pacho W. Defender	2	1/1(100%)	1/1(100%)	-	-	-	-	-	-	-
Vitinha Midfielder	2	-	2/2(100%)	-	2/2(100%)	1	-	-	-	-
Abdi A. Defender	1	-	1/1(100%)	-	-	1	-	-	-	-
Dembele O. Forward	1	-	-	-	-	-	-	-	-	-
Fernandez D. Midfielder	1	-	1/1(100%)	-	-	-	-	-	-	-
Diouf Y. Goalkeeper	-	-	-	-	-	1	-	-	-	-
Safonov M. Goalkeeper	-	-	-	-	-	-	-	-	-	-

Goalkeeping

Player	Goals prevented	Goalkeeper saves	xGOT faced	Goals Conceded	Punches	Throws	Sweeper keeper actions
Diouf Y. Goalkeeper	0.82	5	4.82	4	-	5	1
Safonov M. Goalkeeper	0.03	1	0.03	-	-	4	1

Goals prevented - measures how many goals a goalkeeper saved compared to expectation. It is calculated as the difference between xGOT Faced (the total post-shot expected goals of all on-target shots faced) and the actual number of goals conceded (excluding own goals). A higher positive value indicates the goalkeeper performed above average, preventing more goals than expected from the quality of shots faced. A negative value means more goals were conceded than the shots "deserved.

xGOT faced - total number of goals a goalkeeper would be expected to concede based on the volume and quality of on-target shots faced. Each shot’s quality is assessed using post-shot factors: placement, goalkeeper positioning, shot speed, etc. xGOT Faced for a team equals the opposing team’s total xGOT from shots on target. It serves as the benchmark for calculating Goals Prevented.