Sfax Railways vs M'saken: result 3-0 and analysis
Ligue 2Matchday 11Kick-off on November 29, 2025 at 01:00 PM (UTC)Stade 2 Mars, Safāqis
Full time
What was the result of Sfax Railways vs M'saken?
Sfax Railways won 3-0 on November 29, 2025.
Goalscorers
- 19′627166Sfax Railways
- 67′625740Sfax Railways
- 90′641786Sfax Railways
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sfax Railways have 5 wins, 4 draws and 6 defeats; M'saken have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2025 | Bouselem(away) | 0-4 | Ligue 2 |
| Nov 16, 2025 | BS Bouhajla(home) | 2-0 | Ligue 2 |
| Nov 10, 2025 | Sporting Ben Arous(away) | 0-0 | Ligue 2 |
| Nov 3, 2025 | EM Mahdia(home) | 3-4 | Ligue 2 |
| Oct 27, 2025 | CS Hammam-Lif(away) | 0-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2025 | ES Hammam-Sousse(away) | 3-2 | Ligue 2 |
| Nov 15, 2025 | Bouselem(home) | 3-0 | Ligue 2 |
| Nov 7, 2025 | BS Bouhajla(away) | 1-1 | Ligue 2 |
| Nov 2, 2025 | Sporting Ben Arous(home) | 1-1 | Ligue 2 |
| Oct 25, 2025 | EM Mahdia(away) | 2-1 | Ligue 2 |
How many goals should we expect?
Sfax Railways score 1.0 and concede 1.3 goals per match over their last 15; M'saken score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sfax Railways | 1.0 | 1.3 | 8 | 4/15 | 5/15 |
| M'saken | 1.1 | 0.7 | 6 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sfax Railways sit 18th in Ligue 2 (8 points from 7 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 |
| 18 | Sfax Railways | 7 | 1 | 5 | 1 | 5 | 5 | 8 |
A question about Sfax Railways vs M'saken?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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