Kerkennah vs M'saken: result 1-1 and analysis
Ligue 2Regular Season - 4Kick-off on October 11, 2025 at 02:00 PM (UTC)Stade Municipal Farhat Hached, Kerkennah
Full time
What was the result of Kerkennah vs M'saken?
Kerkennah and M'saken drew 1-1 on October 11, 2025.
Goalscorers
- 34′M. KechicheM'saken
- 57′574746Kerkennah
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kerkennah have 6 wins, 5 draws and 4 defeats; M'saken have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2025 | Bouselem(away) | 1-1 | Ligue 2 |
| Sep 27, 2025 | BS Bouhajla(home) | 0-1 | Ligue 2 |
| Sep 22, 2025 | Sporting Ben Arous(away) | 0-3 | Ligue 2 |
| May 23, 2025 | JS Kairouanaise(away) | 0-2 | Ligue 2 |
| May 16, 2025 | Progrès Sakiet Eddaïer(home) | 2-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2025 | Menzel Bourguiba(home) | 1-0 | Ligue 2 |
| Sep 27, 2025 | US Tataouine(away) | 0-1 | Ligue 2 |
| Sep 20, 2025 | Mégrine(home) | 2-1 | Ligue 2 |
| May 24, 2025 | AS Marsa(away) | 0-2 | Ligue 2 |
| May 17, 2025 | Jendouba Sport(away) | 2-0 | Ligue 2 |
How many goals should we expect?
Kerkennah score 1.3 and concede 0.9 goals per match over their last 15; M'saken score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kerkennah | 1.3 | 0.9 | 5 | 6/15 | 4/15 |
| M'saken | 0.9 | 0.7 | 8 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kerkennah sit 23rd in Ligue 2 (5 points from 6 matches) and M'saken sit 4th (14 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | M'saken | 7 | 4 | 2 | 1 | 12 | 7 | 14 |
| 23 | Kerkennah | 6 | 1 | 2 | 3 | 4 | 6 | 5 |
A question about Kerkennah vs M'saken?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy