Busher vs Al-Nahda: result 2-1 and analysis
Professional LeagueRegular Season - 18Kick-off on March 21, 2015 at 01:35 PM (UTC)Sultan Qaboos Sport Complex, Muscat
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What was the result of Busher vs Al-Nahda?
Busher won 2-1 on March 21, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Busher have 2 wins, 5 draws and 8 defeats; Al-Nahda have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2015 | Al Suwaiq(away) | 3-1 | Professional League |
| Feb 28, 2015 | Al Musannah(home) | 0-1 | Professional League |
| Feb 21, 2015 | Saham(away) | 2-1 | Professional League |
| Feb 13, 2015 | Al Shabab(home) | 1-1 | Professional League |
| Feb 8, 2015 | Sur(home) | 0-4 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2015 | Al Oruba(home) | 0-0 | Professional League |
| Mar 1, 2015 | Fanja(home) | 1-1 | Professional League |
| Feb 21, 2015 | Al Suwaiq(away) | 1-0 | Professional League |
| Feb 17, 2015 | Saham(home) | 2-1 | Professional League |
| Feb 14, 2015 | Al Musannah(home) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Busher wins, 0 draws, 1 Al-Nahda win.
| Date | Score | Competition |
|---|---|---|
| Oct 17, 2014 | Al-Nahda 4-0 Busher | Professional League |
How many goals should we expect?
Busher score 0.8 and concede 1.9 goals per match over their last 15; Al-Nahda score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Busher | 0.8 | 1.9 | 1 | 8/15 | 8/15 |
| Al-Nahda | 1.0 | 1.5 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al-Nahda | 3 | 2 | 1 | 0 | 5 | 3 | 7 |
A question about Busher vs Al-Nahda?
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