News feed

02 July
21:55
Portugal Edge Croatia 2-1 in WC 2026 Qualifier
21:35
Colombia vs Ghana: Match Preview and Prediction
21:00
Switzerland vs Algeria: lineups for the match
18:10
Portugal vs Croatia: Ronaldo, Modric in Starting XI
18:05
Argentina vs Cape Verde: Preview and Prediction
17:45
Luis de la Fuente: 'Strong Teams Step Up When It Counts'
17:00
Portugal vs Croatia: lineups for the match
17:00
Where to Watch Paraguay - France: TV Channel and Start Time
16:55
Vitor Pereira Officially Leaves Nottingham Forest
16:50
Liverpool Install Permanent Memorial for Diogo Jota and Brother
02 July
21:35
Colombia vs Ghana: Match Preview and Prediction
18:05
Argentina vs Cape Verde: Preview and Prediction
14:05
Australia vs Egypt: World Cup 2026 Preview
01 July
20:00
Switzerland vs Algeria: World Cup Last 16 Preview
19:00
Portugal vs Croatia: World Cup Last 16 Preview
15:50
Spain vs Austria: World Cup Round of 16 Preview
30 June
20:05
USA vs Bosnia: World Cup Last 16 Preview
17:15
England vs DR Congo: World Cup Last-16 Preview
29 June
21:05
Mexico – Ecuador: Prediction and Match Preview
20:10
Ivory Coast vs Norway: World Cup Last 16 Preview
TOP Tournaments
Show more

Nice vs AS Monaco 08/02/2026

Next match AS Monaco - Nice on 02/01/2027

Nice NIC

Match details

AS Monaco ASM
Nice NIC

Match stats

AS Monaco ASM
0.57
Expected goals (xG) stat-tooltip-icon 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.
0.62
44 %
Ball possession
56 %
0
Big chances stat-tooltip-icon 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.
1
13
Total shots
10
4
Shots on goal
2
  • 1.7
  • Goals scored per match
  • 1.3
  • 1.7
  • Goals conceded per match
  • 1.8
  • 26.5'
  • Minutes/Goal scored
  • 29'
  • 3.4
  • Match goals average
  • 3.1
  • 34
  • Goals
  • 31

Current Form

Last 5 matches
Nice NIC

H2H Stats

AS Monaco ASM
  • 20% 1wins
  • 40% 2draws
  • 40% 2wins
  • 7
  • Score
  • 8
  • 7
  • Yellow cards
  • 8
  • 1
  • Red cards
  • 1
FT 08/02/26 09:00
Nice Nice AS Monaco AS Monaco
0 0
FT 05/10/25 11:15
AS Monaco AS Monaco Nice Nice
2 2
FT 29/03/25 16:05
AS Monaco AS Monaco Nice Nice
2 1
FT 27/10/24 12:00
Nice Nice AS Monaco AS Monaco
2 1
FT 11/02/24 14:45
Nice Nice AS Monaco AS Monaco
2 3

Last results: Nice

Last results: AS Monaco

Match news

Match facts

The most common result of matches between OGC Nice and AS Monaco when OGC Nice is playing at home is 1-2. 5 matches have ended with this result.

During the last 27 meetings with OGC Nice playing at home, OGC Nice have won 10 times, there have been 4 draws while AS Monaco have won 13 times.

During the last 54 meetings, OGC Nice have won 18 times, there have been 12 draws while AS Monaco have won 24 times.

Last season's matches: 2-1 (OGC Nice at home) and 2-1 (AS Monaco at home).

More facts
New comments
Nice NIC

Statistics

AS Monaco ASM
Match
1st Half
2nd Half
0.57
Expected goals (xG) stat-tooltip-icon 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.
0.62
44 %
Ball possession
56 %
0
Big chances stat-tooltip-icon 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.
1
13
Total shots
10
4
Shots on goal
2
7
Shots off goal
6
5
Shots inside the Box
8
8
Shots outside the Box
2
0.3
xG on target (xGOT) stat-tooltip-icon xG on target (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.
0.52
2
Blocked shots
2
0
Hit the woodwork
1
15
Touches in the opposition Box
17
2
Offsides
1
11
Free kicks
10
8
Corner kicks
6
25
Throw ins
23
242/328 (74%)
Passes
337/433 (78%)
19/54 (35%)
Long Passes
29/61 (48%)
74/115 (64%)
Passes in final third
58/100 (58%)
3/21 (14%)
Crosses
2/10 (20%)
0.49
Expected assists (xA) stat-tooltip-icon Expected assists (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.
1.1
10
Fouls
11
2
Yellow cards
2
45
Duels won
61
12/15 (80%)
Tackles
18/26 (69%)
30
Clearances
27
12
Interceptions
11
0
Errors leading to shot
1
2
Goalkeeper saves
3
0.52
xGOT faced stat-tooltip-icon 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.
0.3
0.52
Goals prevented stat-tooltip-icon 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.
0.3
10 Matches

4 - Wins

3 - Draws

3 - Losses

10 Matches

Wins - 3

Draws - 2

Losses - 5

Goal Difference

0

17

17

scored

conceded

-5

13

18

  • 1.7
  • Goals scored per match
  • 1.3
  • 1.7
  • Goals conceded per match
  • 1.8
  • 26.5'
  • Minutes/Goal scored
  • 29'
  • 3.4
  • Match goals average
  • 3.1
  • 34
  • Goals
  • 31

Goals scored

AS Monaco AS Monaco is +19% Better in terms of Goals scored.
hostName NIC
1.35 Goals / match
guestName ASM
1.6 Goals / match
Scored per game
hostName NIC guestName ASM
Over 0.5
80%
75%
Over 1.5
35%
35%
Over 2.5
15%
25%
Over 3.5
5%
15%
Failed to score
20%
25%
scored 1st/2nd Half
hostName NIC guestName ASM
Scored in 1H
50%
50%
Scored in 2H
50%
60%
Scored in both halves
20%
35%
Scored average 1H
0.8
0.55
Scored average 2H
0.55
1.05

Statistics of Nice matches and AS Monaco matches within the tournament Ligue 1.

Goals conceded

AS Monaco AS Monaco is +15% Better in terms of Goals conceded.
hostName NIC 1.9 Conceded / match
guestName ASM 1.65 Conceded / match
Conceded / game
hostName NIC guestName ASM
Over 0.5
90%
80%
Over 1.5
50%
45%
Over 2.5
25%
30%
Over 3.5
15%
10%
Clean sheets
10%
20%
Conceded 1st/2nd Half
hostName NIC guestName ASM
1H Clean sheet
35%
60%
2H Clean sheet
35%
30%
Conceded Average 1H
0.9
0.6
Conceded Average 2H
1
1.05

Statistics of Nice matches and AS Monaco matches within the tournament Ligue 1.

Goals Handicap Stats

Full time
Handicap
hostName NIC hostName ASM
+2.5
65%
70%
+1.5
70%
75%
+0.5
50%
55%
-0.5
30%
40%
-1.5
15%
20%
-2.5
5%
10%
1st Half
Handicap
hostName NIC hostName ASM
+1.5
85%
95%
+0.5
55%
75%
-0.5
40%
25%
-1.5
10%
0%
2nd Half
Handicap
hostName NIC hostName ASM
+1.5
80%
85%
+0.5
40%
60%
-0.5
30%
30%
-1.5
5%
15%

Goals by minute

10 mins
hostName NIC hostName ASM
0-10 mins
8%
5%
11-20 mins
11%
3%
21-30 mins
9%
8%
31-40 mins
11%
6%
41-50 mins
9%
15%
51-60 mins
17%
9%
61-70 mins
6%
8%
71-80 mins
9%
15%
81-90 mins
20%
31%
15 mins
hostName NIC hostName ASM
0-15 mins
14%
6%
16-30 mins
14%
9%
31-45 mins
15%
11%
46-60 mins
23%
18%
61-75 mins
11%
15%
76-90 mins
23%
41%
10 mins
hostName NIC hostName ASM
0-10 mins
7%
9%
11-20 mins
7%
0%
21-30 mins
15%
3%
31-40 mins
15%
9%
41-50 mins
19%
19%
51-60 mins
15%
13%
61-70 mins
7%
6%
71-80 mins
7%
13%
81-90 mins
8%
28%
15 mins
hostName NIC hostName ASM
0-15 mins
11%
9%
16-30 mins
19%
3%
31-45 mins
26%
13%
46-60 mins
22%
28%
61-75 mins
11%
13%
76-90 mins
11%
34%
10 mins
hostName NIC hostName ASM
0-10 mins
8%
0%
11-20 mins
13%
6%
21-30 mins
8%
12%
31-40 mins
8%
3%
41-50 mins
11%
18%
51-60 mins
18%
6%
61-70 mins
5%
12%
71-80 mins
11%
18%
81-90 mins
18%
25%
15 mins
hostName NIC hostName ASM
0-15 mins
16%
3%
16-30 mins
13%
15%
31-45 mins
8%
12%
46-60 mins
29%
15%
61-75 mins
13%
21%
76-90 mins
21%
34%

Who will score first?

hostName NIC
50%
Scored first in 10/20 matches.
guestName ASM
40%
Scored first in 8/20 matches.

Number of Cards

Total Cards / Match
hostName NIC guestName ASM
5
2
3

Total cards per match for Nice and AS Monaco at the tournament Ligue 1 in 2025/2026 season.

Total Cards
Over 1.5
95%
85%
90%
Over 2.5
80%
85%
82%
Over 3.5
65%
60%
62%
Over 4.5
45%
50%
47%
Over 5.5
30%
40%
35%
Over 6.5
10%
30%
20%
Over 7.5
5%
15%
10%
Team Cards
Over 0.5
95%
90%
92%
Over 1.5
75%
70%
72%
Over 2.5
40%
50%
45%
Over 3.5
20%
30%
25%
Over 4.5
10%
20%
15%
Cards Against Team
Cards Against Team
hostName NIC guestName ASM Average
Over 0.5
85%
80%
82%
Over 1.5
55%
65%
60%
Over 2.5
30%
35%
32%
Over 3.5
10%
20%
15%
Over 4.5
5%
10%
7%

First / second half WDL

1H/2H WDL
hostName NIC hostName ASM
Win % 1st Half
40%
25%
Win % 2st Half
30%
30%
Draw % 1st Half
15%
50%
Draw % 2nd Half
10%
30%
Loss % 1st Half
45%
25%
Loss % 2nd Half
60%
40%

Top Scorers



#
Goals
  • 1 Diop S.
    FW
    Nice
    8
  • 2 Wahi S.
    FW
    Nice
    7
  • 3 Cho M.
    FW
    Nice
    4
  • 4 Louchet T.
    MD
    Nice
    3
  • 5 Abdi A.
    DF
    Nice
    3
  • 6 Boga J.
    MD
    Nice
    2
  • 7 Moffi T.
    FW
    Nice
    2
  • 8 Bard M.
    DF
    Nice
    2
  • 9 Clauss J.
    DF
    Nice
    2
  • 10 Boudache K.
    MD
    Nice
    2
  • 11 Oppong K.
    DF
    Nice
    1
  • 12 Boudaoui H.
    MD
    Nice
    1
  • 13 Jansson I.
    MD
    Nice
    1
  • 14 Mendy A.
    DF
    Nice
    1
Load more
#
Goals
  • 1 Balogun F.
    FW
    AS Monaco
    13
  • 2 Fati A.
    FW
    AS Monaco
    11
  • 3 Akliouche M.
    MD
    AS Monaco
    6
  • 4 Golovin A.
    MD
    AS Monaco
    5
  • 5 Minamino T.
    MD
    AS Monaco
    3
  • 6 Coulibaly M.
    MD
    AS Monaco
    3
  • 7 Adingra S.
    FW
    AS Monaco
    3
  • 8 Camara L.
    MD
    AS Monaco
    3
  • 9 Ilenikhena G.
    FW
    AS Monaco
    2
  • 10 Biereth M.
    FW
    AS Monaco
    2
  • 11 Zakaria D.
    MD
    AS Monaco
    2
  • 12 Dier E.
    DF
    AS Monaco
    1
  • 13 Salisu M.
    DF
    AS Monaco
    1
  • 14 Idumbo-Muzambo S.
    MD
    AS Monaco
    1
  • 15 Teze J.
    DF
    AS Monaco
    1
Load more

Current Standings Positions

# Team GP W D L G GD P
7 34 16 6 12 60:54 6 54
16 34 7 11 16 37:60 -23 32
  • Champions League
  • Champions League Qualification
  • UEFA Europa League
  • Conference League Qualification
  • Relegation Playoffs
  • Relegation
# Team GP W D L G GD P
6 17 10 2 5 33:23 10 32
16 17 4 8 5 19:27 -8 20
# Team GP W D L G GD P
8 17 6 4 7 27:31 -4 22
16 17 3 3 11 18:33 -15 12

Performance teams chart

16 Position 7
34 Round 34
Previous | Next round

Player Statistics

Overview
Shots
Attack
Defending
Goalkeeping
Overview
Player Grade Minutes played Goals xG Assists xA Total shots Passes Yellow cards Red cards
player
Kehrer T.
Defender team
8.8 90 - - - 0.01 - 40/48(83%) - -
player
Camara L.
Midfielder team
8 90 - - - 0.83 - 39/44(89%) - -
player
Zakaria D.
Midfielder team
7.7 90 - 0.15 - 0.01 3 34/35(97%) - -
player
Teze J.
Defender team
7.4 90 - 0.02 - 0.01 1 45/59(76%) - -
player
Clauss J.
Defender team
7.2 90 - 0.02 - 0.12 1 24/32(75%) - -
player
Dupe M.
Goalkeeper team
7.1 90 - - - - - 11/25(44%) - -
player
Kohn P.
Goalkeeper team
7.1 90 - - - - - 24/35(69%) - -
player
Oppong K.
Defender team
7.1 90 - - - - - 20/23(87%) - -
player
Louchet T.
Midfielder team
7.1 64 - 0.04 - 0.02 1 12/18(67%) - -
player
Abdi A.
Defender team
7 90 - 0.01 - 0.01 1 17/26(65%) - -
player
Sanson M.
Midfielder team
6.9 84 - 0.02 - 0.03 1 32/34(94%) - -
player
Diatta K.
Defender team
6.9 76 - - - 0.02 - 32/43(74%) - -
player
Golovin A.
Midfielder team
6.9 65 - 0.11 - 0.03 1 22/30(73%) - -
player
Bamba A.
Midfielder team
6.8 75 - - - 0.02 - 24/32(75%) - -
player
Coulibaly M.
Midfielder team
6.8 15 - 0.02 - - 1 7/10(70%) - -
player
Vanhoutte C.
Midfielder team
6.8 89 - - - 0.02 - 29/37(78%) - -
player
Akliouche M.
Midfielder team
6.7 90 - - - 0.07 - 29/36(81%) - -
player
Diop S.
Forward team
6.7 84 - 0.14 - 0.03 3 32/42(76%) 1 -
player
Adingra S.
Forward team
6.6 75 - 0.04 - 0.02 1 13/20(65%) - -
player
Biereth M.
Forward team
6.6 15 - - - - - 1/2(50%) - -
player
Henrique C.
Defender team
6.4 25 - - - 0.07 - 4/5(80%) - -
player
Ndombele T.
Midfielder team
6.2 26 - - - - - 2/2(100%) - -
player
Wahi S.
Forward team
6 90 - 0.16 - 0.01 2 11/16(69%) 1 -
player
Vanderson
Defender team
5.8 14 - - - - - 7/13(54%) 1 -
player
Balogun F.
Forward team
5.7 90 - 0.28 - 0.01 3 16/21(76%) 1 -
player
Bah A.
Defender team
- 6 - - - - - 2/3(67%) - -
player
Jansson I.
Midfielder team
- 6 - - - 0.01 - 4/6(67%) - -
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
player
Balogun F.
Forward team
3 1 0.05 1 1 - 3 -
player
Diop S.
Forward team
3 1 - 2 1 - 2 1
player
Zakaria D.
Midfielder team
3 - - 2 1 2 3 -
player
Wahi S.
Forward team
2 2 0.25 - - - 1 1
player
Abdi A.
Defender team
1 - - 1 - 1 1 -
player
Adingra S.
Forward team
1 - - 1 - - - 1
player
Clauss J.
Defender team
1 - - 1 - - - 1
player
Coulibaly M.
Midfielder team
1 - - 1 - - 1 -
player
Golovin A.
Midfielder team
1 1 0.47 - - - 1 -
player
Louchet T.
Midfielder team
1 - - - 1 - - 1
player
Sanson M.
Midfielder team
1 - - 1 - - - 1
player
Teze J.
Defender team
1 - - 1 - - - 1
player
Akliouche M.
Midfielder team
- - - - - - - -
player
Bah A.
Defender team
- - - - - - - -
player
Bamba A.
Midfielder team
- - - - - - - -
player
Biereth M.
Forward team
- - - - - - - -
player
Camara L.
Midfielder team
- - - - - - - -
player
Diatta K.
Defender team
- - - - - - - -
player
Dupe M.
Goalkeeper team
- - - - - - - -
player
Henrique C.
Defender team
- - - - - - - -
player
Jansson I.
Midfielder team
- - - - - - - -
player
Kehrer T.
Defender team
- - - - - - - -
player
Kohn P.
Goalkeeper team
- - - - - - - -
player
Ndombele T.
Midfielder team
- - - - - - - -
player
Oppong K.
Defender team
- - - - - - - -
player
Vanderson
Defender team
- - - - - - - -
player
Vanhoutte C.
Midfielder team
- - - - - - - -
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
player
Diop S.
Forward team
5 32/42(76%) - - - 0.03 16/24(67%) 71 2/4(50%) - - 3 1
player
Balogun F.
Forward team
4 16/21(76%) - 1 - 0.01 3/7(43%) 27 - - - - -
player
Zakaria D.
Midfielder team
4 34/35(97%) - - - 0.01 4/4(100%) 62 2/3(67%) - - 1 -
player
Golovin A.
Midfielder team
3 22/30(73%) - - - 0.03 11/16(69%) 40 1/2(50%) - 1/1(100%) - -
player
Wahi S.
Forward team
3 11/16(69%) - - - 0.01 2/5(40%) 25 - - - 1 1
player
Adingra S.
Forward team
2 13/20(65%) - - - 0.02 5/7(71%) 43 - - 3/7(43%) - 1
player
Bamba A.
Midfielder team
2 24/32(75%) - - - 0.02 4/6(67%) 42 1/1(100%) - 1/2(50%) 3 -
player
Clauss J.
Defender team
2 24/32(75%) - - - 0.12 8/15(53%) 63 2/3(67%) 2/6(33%) - - -
player
Abdi A.
Defender team
1 17/26(65%) - - - 0.01 6/9(67%) 62 - - 3/6(50%) 1 -
player
Camara L.
Midfielder team
1 39/44(89%) 1 - - 0.83 5/8(63%) 62 3/3(100%) 2/7(29%) - 1 -
player
Coulibaly M.
Midfielder team
1 7/10(70%) - - - - - 17 - - 2/2(100%) - -
player
Kehrer T.
Defender team
1 40/48(83%) - - - 0.01 3/4(75%) 66 7/10(70%) - - - -
player
Louchet T.
Midfielder team
1 12/18(67%) - - - 0.02 6/8(75%) 31 1/1(100%) - - 1 -
player
Akliouche M.
Midfielder team
- 29/36(81%) - - - 0.07 8/13(62%) 55 - - 2/3(67%) 2 -
player
Bah A.
Defender team
- 2/3(67%) - - - - - 7 - - - - -
player
Biereth M.
Forward team
- 1/2(50%) - - - - 1/2(50%) 4 - - - 1 -
player
Diatta K.
Defender team
- 32/43(74%) - - - 0.02 6/9(67%) 61 1/2(50%) - 1/2(50%) - -
player
Dupe M.
Goalkeeper team
- 11/25(44%) - - - - - 30 2/16(13%) - - - -
player
Henrique C.
Defender team
- 4/5(80%) - - - 0.07 1/2(50%) 8 - - - - -
player
Jansson I.
Midfielder team
- 4/6(67%) - - - 0.01 3/3(100%) 6 - - - - -
player
Kohn P.
Goalkeeper team
- 24/35(69%) - - - - - 47 9/20(45%) - - 1 -
player
Ndombele T.
Midfielder team
- 2/2(100%) - - - - 2/2(100%) 4 - - - - -
player
Oppong K.
Defender team
- 20/23(87%) - - - - 1/1(100%) 32 1/3(33%) - - 1 -
player
Sanson M.
Midfielder team
- 32/34(94%) - - - 0.03 8/9(89%) 54 5/6(83%) - 1/2(50%) - -
player
Teze J.
Defender team
- 45/59(76%) - - - 0.01 5/12(42%) 75 5/15(33%) - - - -
player
Vanderson
Defender team
- 7/13(54%) - - - - 2/5(40%) 22 - - - - -
player
Vanhoutte C.
Midfielder team
- 29/37(78%) - - - 0.02 9/11(82%) 49 2/4(50%) - - - -
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
player
Abdi A.
Defender team
20 3/6(50%) 4/14(29%) 1 - - 3 - - -
player
Akliouche M.
Midfielder team
15 - 9/14(64%) - 2/5(40%) - - - - -
player
Diop S.
Forward team
13 - 5/10(50%) 1 1/2(50%) 1 1 - - -
player
Kehrer T.
Defender team
13 4/6(67%) 4/7(57%) 1 3/4(75%) 2 2 - - -
player
Adingra S.
Forward team
12 - 5/11(45%) - 2/2(100%) - - - - -
player
Diatta K.
Defender team
11 3/5(60%) 4/6(67%) 1 3/3(100%) - 1 - - -
player
Bamba A.
Midfielder team
9 - 5/9(56%) 2 1/1(100%) 1 - - - -
player
Sanson M.
Midfielder team
9 2/2(100%) 3/7(43%) 1 1/2(50%) 4 1 - - -
player
Wahi S.
Forward team
9 - 1/7(14%) 3 - - - - - -
player
Zakaria D.
Midfielder team
9 3/4(75%) 4/5(80%) 1 2/3(67%) 2 11 - - -
player
Balogun F.
Forward team
8 1/5(100%) - 2 - - - - 1 -
player
Clauss J.
Defender team
8 - 4/7(57%) 1 3/4(75%) 1 2 - - -
player
Teze J.
Defender team
8 2/3(67%) 4/5(80%) 1 4/4(100%) 1 5 - - -
player
Camara L.
Midfielder team
7 3/3(100%) 3/4(75%) - 1/2(50%) 3 2 - - -
player
Louchet T.
Midfielder team
7 - 3/7(43%) - 2/2(100%) - 1 - - -
player
Coulibaly M.
Midfielder team
6 1/1(100%) 3/5(60%) 1 1/1(100%) 1 - - - -
player
Vanhoutte C.
Midfielder team
6 1/2(50%) 1/4(20%) 1 - 1 4 - - -
player
Oppong K.
Defender team
4 2/3(67%) 1/1(100%) - - 2 3 - - -
player
Biereth M.
Forward team
3 - 1/1(100%) - - - 1 - - -
player
Golovin A.
Midfielder team
3 - 2/3(67%) 1 - 1 - - - -
player
Bah A.
Defender team
2 2/2(100%) - - - 1 3 - - -
player
Jansson I.
Midfielder team
2 1/2(50%) - - - - - - - -
player
Kohn P.
Goalkeeper team
1 - 1/1(100%) - - - 4 - - -
player
Ndombele T.
Midfielder team
1 - - - - - - - - -
player
Vanderson
Defender team
1 - - 1 - 1 - - - -
player
Dupe M.
Goalkeeper team
- - - - - - 1 - - -
player
Henrique C.
Defender team
- - - - - - 1 - - -
Goalkeeping
Player Goals prevented Goalkeeper saves xGOT faced Goals Conceded Punches Throws Sweeper keeper actions
player
Dupe M.
Goalkeeper team
0.52 2 0.52 - - 1 1
player
Kohn P.
Goalkeeper team
0.3 3 0.3 - 1 3 2
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.

About

About the Nice sc AS Monaco 08.02.2026 match

08 Feb 2026 at 09:00, Nice and AS Monaco will play a match in the Ligue 1. The match will take place at the Allianz Rivera. The score, statistics and full live stream of the match between Nice - AS Monaco can be accessed on footboom1.com.

Latest matches of Nice

  • Nice - AS Saint-Etienne (29 May 2026) Allianz Rivera 4:1 Ligue 1
  • AS Saint-Etienne - Nice (26 May 2026) Stade Geoffroy Guichard 0:0 Ligue 1
  • RC Lens - Nice (22 May 2026) Stade de France 3:1 Coupe de France
  • Nice - Metz (17 May 2026) Allianz Rivera 0:0 Ligue 1
  • Auxerre - Nice (10 May 2026) Stade de l'Abbe-Deschamps 2:1 Ligue 1

Last matches of the AS Monaco

  • Strasbourg - AS Monaco (17 May 2026) Stade de la Meinau 5:4 Ligue 1
  • AS Monaco - Lille OSC (10 May 2026) Stade Louis II 0:1 Ligue 1
  • Metz - AS Monaco (02 May 2026) Stade Saint Symphorien 1:2 Ligue 1
  • Toulouse - AS Monaco (25 Apr 2026) Stadium de Toulouse 2:2 Ligue 1
  • AS Monaco - Auxerre (19 Apr 2026) Stade Louis II 2:2 Ligue 1

H2H Information

This page lists the head-to-head history between Nice and AS Monaco, including maximum wins and losses between the two teams and the H2H stats in all competitions.

In recent years, Nice and AS Monaco have played 5 matches against each other.

Team Nice h2h wins: 1 match.

Team AS Monaco h2h wins: 2 match.

At the end of the match, you'll find all the important moments and the result of Nice - AS Monaco on this page.

While you wait for the Nice - AS Monaco live stream to start, you can check out the match odds and our predictions to place the best bets on this Ligue 1 match!

Top bookmakers
gift-icon-gray 100 USD
Get Bonus
gift-icon-gray for $19.99
Get Bonus
gift-icon-gray for $15.99
Get Bonus
gift-icon-gray for $2.99
Get Bonus
gift-icon-gray for $2.99
Get Bonus
gift-icon-gray 100%
Get Bonus
gift-icon-gray 100%
Get Bonus

Match Info

Date:
8 February 2026, 09:00
Referee:
Bastien Benoit, France
Stadium:
Allianz Rivera, Nice, France
Capacity:
36178