Afif vs Al Sahel: result 0-2 and analysis
Division 2Regular Season - 3Kick-off on October 17, 2025 at 11:35 AM (UTC)
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What was the result of Afif vs Al Sahel?
Al Sahel won 0-2 on October 17, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Afif have 9 wins, 1 draw and 5 defeats; Al Sahel have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2025 | Jubbah(away) | 1-0 | Division 2 |
| Oct 3, 2025 | Al Jeel(home) | 3-2 | Division 2 |
| Nov 9, 2019 | Al-Nassr(home) | 1-5 | King's Cup |
| Apr 5, 2019 | Al-Jabil(home) | 3-0 | Division 2 |
| Mar 29, 2019 | Hetten FC(away) | 0-2 | Division 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2025 | Al-Ain(home) | 0-0 | Division 2 |
| Oct 3, 2025 | Al-Washm(away) | 1-0 | Division 2 |
| May 29, 2023 | Jeddah Club(away) | 0-2 | Division 1 |
| May 23, 2023 | Al Okhdood(home) | 3-2 | Division 1 |
| May 17, 2023 | Al-Hazm(away) | 2-3 | Division 1 |
How many goals should we expect?
Afif score 1.5 and concede 1.3 goals per match over their last 15; Al Sahel score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Afif | 1.5 | 1.3 | 5 | 7/15 | 7/15 |
| Al Sahel | 1.1 | 1.5 | 3 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Afif sit 7th in Division 2 (0 points from 1 match) and Al Sahel sit 9th (0 points from 1 match).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Afif | 1 | 0 | 0 | 1 | 1 | 2 | 0 |
| 9 | Al Sahel | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
A question about Afif vs Al Sahel?
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