Saham vs Al-Shabab: result 1-1 and analysis
Professional LeagueRegular Season - 16Kick-off on January 27, 2016 at 01:15 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Al-Shabab?
Saham and Al-Shabab drew 1-1 on January 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 4 wins, 5 draws and 6 defeats; Al-Shabab 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 |
|---|---|---|---|
| Jan 23, 2016 | Al-Nahda(away) | 1-3 | Professional League |
| Jan 18, 2016 | Al-Khabourah(home) | 0-0 | Professional League |
| Dec 25, 2015 | Al Nasr(home) | 0-1 | Professional League |
| Dec 17, 2015 | Fanja(away) | 0-2 | Professional League |
| Dec 10, 2015 | Muscat(home) | 1-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2016 | Al-Musannah(home) | 1-0 | Professional League |
| Jan 18, 2016 | Dhofar(away) | 0-0 | Professional League |
| Dec 25, 2015 | Sur(away) | 1-0 | Professional League |
| Dec 17, 2015 | Salalah(home) | 2-3 | Professional League |
| Dec 11, 2015 | Sohar(away) | 1-2 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Saham win(s), 0 draw(s), 1 Al-Shabab win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2015 | Al-Shabab 1-0 Saham | Professional League |
How many goals should we expect?
Saham score 0.7 and concede 0.9 goals per match over their last 15; Al-Shabab score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 0.7 | 0.9 | 6 | 4/15 | 3/15 |
| Al-Shabab | 1.0 | 1.7 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Saham sit 11th in Professional League (26 points from 26 matches) and Al-Shabab sit 2nd (54 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al-Shabab | 26 | 17 | 3 | 6 | 51 | 27 | 54 |
| 11 | Saham | 26 | 7 | 5 | 14 | 22 | 44 | 26 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy