BS Bouhajla vs M'saken: result 1-1 and analysis
Ligue 2Regular Season - 8Kick-off on November 7, 2025 at 01:30 PM (UTC)
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What was the result of BS Bouhajla vs M'saken?
BS Bouhajla and M'saken drew 1-1 on November 7, 2025.
Goalscorers
- 45′641756BS Bouhajla
- 65′641757M'saken
What is the recent form of both teams?
Over their last 8 matches in all competitions, BS Bouhajla have 4 wins, 2 draws and 2 defeats; M'saken have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2025 | Bouselem(away) | 2-1 | Ligue 2 |
| Oct 25, 2025 | ES Hammam-Sousse(away) | 0-1 | Ligue 2 |
| Oct 18, 2025 | Sporting Ben Arous(home) | 0-0 | Ligue 2 |
| Oct 12, 2025 | EM Mahdia(away) | 1-0 | Ligue 2 |
| Oct 4, 2025 | CS Hammam-Lif(home) | 1-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2025 | Sporting Ben Arous(home) | 1-1 | Ligue 2 |
| Oct 25, 2025 | EM Mahdia(away) | 2-1 | Ligue 2 |
| Oct 18, 2025 | CS Hammam-Lif(home) | 0-0 | Ligue 2 |
| Oct 11, 2025 | Kerkennah(away) | 1-1 | Ligue 2 |
| Oct 4, 2025 | Menzel Bourguiba(home) | 1-0 | Ligue 2 |
How many goals should we expect?
BS Bouhajla score 0.8 and concede 0.5 goals per match over their last 8; M'saken score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BS Bouhajla | 0.8 | 0.5 | 5 | 2/8 | 2/8 |
| M'saken | 0.9 | 0.9 | 5 | 6/15 | 4/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
BS Bouhajla sit 24th in Ligue 2 (5 points from 6 matches) and M'saken sit 2nd (14 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | M'saken | 6 | 4 | 2 | 0 | 10 | 4 | 14 |
| 24 | BS Bouhajla | 6 | 1 | 2 | 3 | 2 | 7 | 5 |
A question about BS Bouhajla 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