Hottin vs Al Sahel: result 1-0 and analysis
Premier LeagueRegular Season - 21Kick-off on April 12, 2019 at 01:00 PM (UTC)Al Basil Stadium, Latakia
Full time
What was the result of Hottin vs Al Sahel?
Hottin won 1-0 on April 12, 2019.
Goalscorers
- 81′Noor AlooshHottin (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hottin have 5 wins, 6 draws and 4 defeats; Al Sahel have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Al Wahda(away) | 1-1 | Premier League |
| Mar 8, 2019 | Jabala(home) | 3-1 | Premier League |
| Mar 1, 2019 | Al Majd(away) | 0-0 | Premier League |
| Feb 16, 2019 | Al Nawaeir(home) | 0-0 | Premier League |
| Feb 11, 2019 | Al Jaish(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2019 | Al Shorta(home) | 0-0 | Premier League |
| Mar 8, 2019 | Al Nawaeir(home) | 2-2 | Premier League |
| Mar 2, 2019 | Jabala(away) | 0-0 | Premier League |
| Feb 28, 2019 | Khaitan(home) | 1-3 | Division 1 |
| Feb 22, 2019 | Al Sulaibikhat(home) | 3-1 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Hottin wins, 1 draw, 0 Al Sahel wins.
| Date | Score | Competition |
|---|---|---|
| Nov 6, 2018 | Al Sahel 1-1 Hottin | Premier League |
How many goals should we expect?
Hottin score 0.9 and concede 0.7 goals per match over their last 15; Al Sahel score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hottin | 0.9 | 0.7 | 6 | 6/15 | 3/15 |
| Al Sahel | 1.1 | 1.3 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Hottin | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
A question about Hottin vs Al Sahel?
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