Al-Mudhaibi vs Saham: result 0-1 and analysis
Professional LeagueRegular Season - 24Kick-off on May 23, 2018 at 06:00 PM (UTC)Nizwa Sports Complex, Nizwa
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What was the result of Al-Mudhaibi vs Saham?
Saham won 0-1 on May 23, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Mudhaibi have 5 wins, 3 draws and 7 defeats; Saham have 2, 8 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Sohar(away) | 2-2 | Professional League |
| May 14, 2018 | Fanja(home) | 3-2 | Professional League |
| May 10, 2018 | Al Oruba(away) | 1-3 | Professional League |
| May 6, 2018 | Mrbat(home) | 0-1 | Professional League |
| May 2, 2018 | Al Salam(away) | 1-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2018 | Oman Club(home) | 1-1 | Professional League |
| May 14, 2018 | Dhofar(home) | 1-1 | Professional League |
| May 10, 2018 | Sohar(away) | 0-1 | Professional League |
| May 6, 2018 | Fanja(home) | 3-3 | Professional League |
| May 2, 2018 | Al Oruba(home) | 2-1 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Al-Mudhaibi win, 0 draws, 0 Saham wins.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2017 | Saham 1-3 Al-Mudhaibi | Professional League |
How many goals should we expect?
Al-Mudhaibi score 1.1 and concede 1.4 goals per match over their last 15; Saham score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Mudhaibi | 1.1 | 1.4 | 5 | 7/15 | 8/15 |
| Saham | 1.1 | 1.5 | 2 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Saham | 4 | 3 | 0 | 1 | 4 | 2 | 9 |
A question about Al-Mudhaibi vs Saham?
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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