Jaish vs Efrin: result 2-1 and analysis
Premier LeagueRegular Season - 21Kick-off on April 18, 2022 at 01:00 PM (UTC)Al-Fayhaa Stadium, Damascus
Full time
What was the result of Jaish vs Efrin?
Jaish won 2-1 on April 18, 2022.
Goalscorers
- 1′Azdasheer Al SaremJaish (o.g.)
- 43′Ahmad HamoEfrin
- 58′Mohammad AlwakidJaish
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jaish have 8 wins, 4 draws and 3 defeats; Efrin have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2022 | Wathba(away) | 1-0 | Premier League |
| Apr 9, 2022 | Hottin(home) | 2-1 | Premier League |
| Apr 5, 2022 | Shorta(away) | 4-0 | Premier League |
| Apr 1, 2022 | Al-Horgelah(away) | 0-1 | Premier League |
| Mar 20, 2022 | Al Nawaeir(home) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2022 | Al Karama(home) | 2-6 | Premier League |
| Apr 9, 2022 | Tishreen(away) | 0-3 | Premier League |
| Apr 5, 2022 | Jabala(home) | 0-3 | Premier League |
| Mar 18, 2022 | Al Taliya(away) | 0-3 | Premier League |
| Mar 11, 2022 | Al Wahda(away) | 1-6 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Jaish win, 0 draws, 0 Efrin wins.
| Date | Score | Competition |
|---|---|---|
| Dec 17, 2021 | Efrin 1-4 Jaish | Premier League |
How many goals should we expect?
Jaish score 1.3 and concede 0.7 goals per match over their last 15; Efrin score 0.6 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jaish | 1.3 | 0.7 | 7 | 6/15 | 5/15 |
| Efrin | 0.6 | 2.7 | 0 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Jaish | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
A question about Jaish vs Efrin?
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