Stade Soussien vs Sfax Railways: result 1-0 and analysis
Ligue 2Regular Season - 5Kick-off on October 26, 2026 at 01:30 PM (UTC)
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What was the result of Stade Soussien vs Sfax Railways?
Stade Soussien won 1-0 on October 26, 2026.
Goalscorers
- 82′641831Stade Soussien
What is the recent form of both teams?
Over their last 4 matches in all competitions, Stade Soussien have 1 win, 1 draw and 2 defeats; Sfax Railways have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2026 | Mégrine(away) | 0-2 | Ligue 2 |
| Oct 10, 2026 | BS Bouhajla(home) | 3-0 | Ligue 2 |
| Oct 3, 2026 | US Tataouine(away) | 0-1 | Ligue 2 |
| Sep 26, 2026 | AS Agareb(home) | 2-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2026 | AS Soliman(home) | 2-2 | Ligue 2 |
| Oct 10, 2026 | Béni-Khalled(away) | 0-0 | Ligue 2 |
| Oct 3, 2026 | AS Gabes(home) | 0-0 | Ligue 2 |
| Sep 26, 2026 | CS Chebba(away) | 2-1 | Ligue 2 |
| May 11, 2026 | AS Agareb(home) | 2-1 | Ligue 2 |
How many goals should we expect?
Stade Soussien score 1.3 and concede 1.3 goals per match over their last 4; Sfax Railways score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade Soussien | 1.3 | 1.3 | 1 | 1/4 | 2/4 |
| Sfax Railways | 1.3 | 0.9 | 5 | 8/15 | 8/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Stade Soussien sit 15th in Ligue 2 (7 points from 6 matches) and Sfax Railways sit 17th (7 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Stade Soussien | 6 | 2 | 1 | 3 | 6 | 6 | 7 |
| 17 | Sfax Railways | 6 | 1 | 4 | 1 | 4 | 4 | 7 |
A question about Stade Soussien vs Sfax Railways?
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