Ligue 1
28/01/2026 • 13:00
Finished
Boujemaa Kmiti Stadium
Home scorers
- 1' B. Cherni
Away scorers
No goals yet.
Match timeline
1 eventsKey moments
-
1'
Olympique BéjaGoalby B. Cherni
1'
Olympique Béja
Goal
by B. Cherni
Lineups
👤
Coach:
N. Beyaoui
Starting XI
Midfield
- 1A. Krir
- 21M. Ben Rajeh
- 25C. Camara
- 4I. Chelghoumi
- K. Ouada
- 5E. Dhaoui
- 23M. Ragoubi
- 27H. Mbarek
- 11H. Gafsi
- 19M. H. Hadouchi
- 7B. Cherni
Substitutes
Midfield
- 16C. Smaoui
- 6M. Dhouibi
- 13H. Houiji
- 17B. Hasni
- 22O. Ibeh
- 9N. Keita
- 8I. Haboubi
- 28M. Marzouki
M. Sahli
:Coach
👤
Starting XI
Midfield
- A. Slimane24
- R. Azzouz13
- N. F. Zeguei5
- R. Chikhaoui25
- Y. Herch3
- O. Diane6
- A. Boulila31
- M. Haj Ali15
- F. Ben Youssef28
- A. Yaakoubi11
- I. Gadiaga29
Substitutes
Midfield
- R. Besbes
- A. Benga
- S. Barhoumi14
- A. Sidibe12
- N. Douihech27
- I. Souissi35
- M. A. Ben22
- A. Bouzganda2
📅
Competition Stage
Regular Season - 18
Standings
1
Club Africain
41
Club Africain
W
W
W
2
ES Tunis
40
ES Tunis
W
W
D
3
Stade Tunisien
37
Stade Tunisien
D
W
L
4
CS Sfaxien
35
CS Sfaxien
W
W
W
5
US Monastirienne
30
US Monastirienne
D
W
W
6
ES Zarzis
26
ES Zarzis
L
L
W
7
ES Metlaoui
25
ES Metlaoui
D
W
D
8
US Ben Guerdane
24
US Ben Guerdane
W
D
L
9
ES Sahel
23
ES Sahel
W
L
D
10
AS Marsa
22
AS Marsa
L
W
L
11
CA Bizertin
20
CA Bizertin
L
D
L
12
Jeunesse Sportive Omrane
19
Jeunesse Sportive Omrane
L
L
L
13
JS Kairouanaise
17
JS Kairouanaise
L
D
L
14
Olympique Béja
15
Olympique Béja
L
D
L
15
AS Soliman
13
AS Soliman
D
L
D
16
AS Gabes
12
AS Gabes
L
L
D
AI Match Predictions
Prediction Reliability
61%
Most Likely Scores
0-0
67.0%
0-1
13.4%
1-0
13.4%
1-1
2.7%
Both Teams To Score
YES
3%
NO
97%
Likely: Clean sheet
Over/Under Goals
Over 2.5
2.5 Goals
Under 2.5
99%
Over 1%
Under 99%
Over 1.5
1.5 Goals
Under 1.5
94%
Over 6%
Under 94%
Over 3.5
3.5 Goals
Under 3.5
100%
Over 0%
Under 100%
ℹ️ Predictions are generated using Poisson distribution models based on recent team form (home/away splits), expected goals, and historical performance. Confidence scores reflect data quality and pattern clarity.