Al Nasr vs Al Riffa: result 3-0 and analysis
AGCFF Gulf Champions LeagueGroup Stage - 1Kick-off on October 13, 2026 at 04:00 PM (UTC)Al Maktoum Stadium, Dubai
Full time
What was the result of Al Nasr vs Al Riffa?
Al Nasr won 3-0 on October 13, 2026.
Goalscorers
- 30′R. MierezAl Nasr
- 46′K. AgudeloAl Nasr
- 63′A. HrustićAl Nasr
What had the model predicted before the match?
Before kick-off, the Footlab AI model gave a Al Nasr win at 58%: prediction correct. Most likely score announced: 1-0. Actual score: 3-0.
Computed by the Footlab AI model from our own data only, with no AI analysis.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nasr have 6 wins, 6 draws and 3 defeats; Al Riffa have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2026 | Hatta SC(home) | 4-1 | League Cup |
| Oct 2, 2026 | Shabab Al Ahli Dubai(away) | 1-1 | League Cup |
| Sep 20, 2026 | Dubai United(home) | 3-1 | League Cup |
| Sep 10, 2026 | Al-Jazira(away) | 1-1 | Pro League |
| Sep 6, 2026 | Ajman(home) | 1-2 | Pro League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2026 | Malkiya(away) | 1-1 | Premier League |
| Sep 10, 2026 | Khalidiya(home) | 0-0 | Premier League |
| Sep 5, 2026 | Manama(away) | 5-1 | Premier League |
| Aug 29, 2026 | Al Ittifaq Maqaba(home) | 2-0 | Premier League |
| May 15, 2026 | Bahrain SC(home) | 3-2 | Premier League |
How many goals should we expect?
Al Nasr score 1.7 and concede 1.3 goals per match over their last 15; Al Riffa score 2.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nasr | 1.7 | 1.3 | 2 | 13/15 | 10/15 |
| Al Riffa | 2.2 | 0.9 | 6 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Al Nasr vs Al Riffa?
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