Al-Shabab vs Smail: result 1-3 and analysis
Professional LeagueRegular Season - 7Kick-off on December 13, 2025 at 03:20 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Al-Shabab vs Smail?
Smail won 1-3 on December 13, 2025.
Goalscorers
- 43′628736Smail
- 45′Y. Al MalkiAl-Shabab
- 72′612918Smail
- 90′612922Smail
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Shabab have 8 wins, 2 draws and 5 defeats; Smail have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2025 | Saham(away) | 2-2 | FA Cup |
| Nov 15, 2025 | Sohar(home) | 0-1 | FA Cup |
| Oct 31, 2025 | Altyn Asyr(away) | 3-1 | AFC Challenge League |
| Oct 28, 2025 | Abdish-Ata(away) | 2-1 | AFC Challenge League |
| Oct 25, 2025 | Paro(home) | 1-0 | AFC Challenge League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2025 | Sur(away) | 0-2 | FA Cup |
| Nov 6, 2025 | Al Seeb(home) | 0-2 | Professional League |
| Oct 30, 2025 | Dhofar(away) | 1-1 | Professional League |
| Oct 26, 2025 | Muscat(home) | 0-2 | Sultan Cup |
| Oct 18, 2025 | Al-Rustaq(home) | 2-1 | Professional League |
How many goals should we expect?
Al-Shabab score 1.5 and concede 1.1 goals per match over their last 15; Smail score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Shabab | 1.5 | 1.1 | 5 | 6/15 | 7/15 |
| Smail | 0.6 | 1.5 | 3 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al-Shabab sit 5th in Professional League (6 points from 3 matches) and Smail sit 9th (4 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Al-Shabab | 3 | 2 | 0 | 1 | 7 | 5 | 6 |
| 9 | Smail | 3 | 1 | 1 | 1 | 1 | 4 | 4 |
A question about Al-Shabab vs Smail?
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