Wathba vs Al Jaish: result 2-2 and analysis
Premier LeagueRegular Season - 19Kick-off on March 17, 2018 at 12:00 PM (UTC)Khaled bin Walid Stadium, Homs
Full time
What was the result of Wathba vs Al Jaish?
Wathba and Al Jaish drew 2-2 on March 17, 2018.
Goalscorers
- 16′Hasan OwaidAl Jaish
- 51′Manhal KoosaWathba
- 63′Ali GhosonWathba
- 73′Hasan OwaidAl Jaish
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wathba have 3 wins, 7 draws and 5 defeats; Al Jaish have 6, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2018 | Hottin(away) | 0-0 | Premier League |
| Mar 2, 2018 | Al Herafyeen(home) | 2-1 | Premier League |
| Feb 23, 2018 | Al Karama(away) | 2-1 | Premier League |
| Feb 16, 2018 | Al Muhafaza(home) | 1-1 | Premier League |
| Feb 9, 2018 | Al Majd(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2018 | Al Ahed(home) | 1-4 | AFC Champions League Two |
| Mar 6, 2018 | Al Ahed(away) | 1-1 | AFC Champions League Two |
| Mar 2, 2018 | Al Jehad(away) | 3-1 | Premier League |
| Feb 26, 2018 | Al Zawra'a(away) | 0-0 | AFC Champions League Two |
| Feb 22, 2018 | Al Ittihad(home) | 2-1 | Premier League |
How many goals should we expect?
Wathba score 0.7 and concede 0.8 goals per match over their last 15; Al Jaish score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wathba | 0.7 | 0.8 | 5 | 6/15 | 4/15 |
| Al Jaish | 1.3 | 0.8 | 6 | 6/13 | 6/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Wathba | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
A question about Wathba vs Al Jaish?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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