Fanja vs Jaalan: result 1-1 and analysis
Professional LeagueRegular Season - 14Kick-off on February 5, 2017 at 02:30 PM (UTC)Al-Seeb Stadium, Seeb
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What was the result of Fanja vs Jaalan?
Fanja and Jaalan drew 1-1 on February 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanja have 6 wins, 4 draws and 5 defeats; Jaalan have 1, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2016 | Oman Club(home) | 2-1 | Professional League |
| Nov 27, 2016 | Al-Rustaq(away) | 2-2 | Professional League |
| Nov 23, 2016 | Muscat(home) | 3-1 | Professional League |
| Nov 5, 2016 | Al-Khabourah(away) | 2-2 | Professional League |
| Oct 31, 2016 | Al-Shabab(home) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2016 | Al-Rustaq(home) | 2-1 | Professional League |
| Nov 28, 2016 | Al-Khabourah(away) | 0-1 | Professional League |
| Nov 23, 2016 | Saham(home) | 1-2 | Professional League |
| Nov 4, 2016 | Al Nasr(away) | 2-2 | Professional League |
| Oct 31, 2016 | Dhofar(home) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 1 Fanja win, 0 draws, 0 Jaalan wins.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Jaalan 1-3 Fanja | Professional League |
How many goals should we expect?
Fanja score 1.6 and concede 1.6 goals per match over their last 15; Jaalan score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanja | 1.6 | 1.6 | 1 | 11/15 | 11/15 |
| Jaalan | 1.0 | 1.7 | 2 | 9/13 | 8/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Fanja | 4 | 0 | 2 | 2 | 0 | 3 | 2 |
A question about Fanja 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