Fortis vs Muras United: result 1-0 and analysis
AFC Challenge LeaguePreliminary RoundKick-off on August 11, 2026 at 09:00 AM (UTC)Bashundhara Kings Arena, Dhaka
Full time
What was the result of Fortis vs Muras United?
Fortis won 1-0 on August 11, 2026.
Goalscorers
- 52′M. IbrahimFortis
What had the model predicted before the match?
Before kick-off, the Footlab AI model gave a Muras United win at 82%: prediction missed. Most likely score announced: 0-2. Actual score: 1-0.
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, Fortis have 9 wins, 3 draws and 3 defeats; Muras United 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 |
|---|---|---|---|
| May 23, 2026 | PWD Sports Club(away) | 2-2 | Premier League |
| May 15, 2026 | Brothers Union(home) | 2-0 | Premier League |
| May 8, 2026 | Fakirerpool(away) | 7-1 | Premier League |
| May 1, 2026 | Rahmatgonj MFS(home) | 3-2 | Premier League |
| Apr 24, 2026 | Abahani(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2026 | Asia Talas(home) | 1-1 | Premier League |
| Aug 2, 2026 | Asiagoal(away) | 1-1 | Premier League |
| Jul 24, 2026 | Bishkek City(home) | 0-0 | Premier League |
| Jul 8, 2026 | Bishkek City(away) | 5-1 | Premier League |
| Jul 2, 2026 | Asiagoal(home) | 1-1 | Premier League |
How many goals should we expect?
Fortis score 2.1 and concede 0.9 goals per match over their last 15; Muras United score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fortis | 2.1 | 0.9 | 7 | 7/15 | 8/15 |
| Muras United | 2.1 | 0.9 | 7 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Fortis vs Muras United?
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