Saham vs Jaalan: result 5-3 and analysis
Professional LeagueRegular Season - 24Kick-off on May 10, 2017 at 05:15 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Jaalan?
Saham won 5-3 on May 10, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 4 wins, 3 draws and 8 defeats; Jaalan have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Al-Rustaq(away) | 3-0 | Professional League |
| May 1, 2017 | Al Nejmeh(home) | 3-1 | AFC Champions League Two |
| Apr 27, 2017 | Al-Khabourah(home) | 1-1 | Professional League |
| Apr 22, 2017 | Fanja(away) | 1-1 | Professional League |
| Apr 17, 2017 | Muharraq(away) | 0-1 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Al Nasr(home) | 3-3 | Professional League |
| Apr 28, 2017 | Dhofar(away) | 2-4 | Professional League |
| Apr 21, 2017 | Al Suwaiq(home) | 1-1 | Professional League |
| Apr 15, 2017 | Oman Club(away) | 0-0 | Professional League |
| Apr 7, 2017 | Muscat(home) | 0-2 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Saham win, 0 draws, 0 Jaalan wins.
| Date | Score | Competition |
|---|---|---|
| Nov 23, 2016 | Jaalan 1-2 Saham | Professional League |
How many goals should we expect?
Saham score 1.4 and concede 1.7 goals per match over their last 15; Jaalan score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.4 | 1.7 | 1 | 12/15 | 10/15 |
| Jaalan | 1.0 | 1.5 | 1 | 9/15 | 6/15 |
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 Saham vs Jaalan?
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