Aschat vs Abu Salim: result 0-0 and analysis
Premier LeagueGroup 1 - 10Kick-off on March 2, 2019 at 01:00 PM (UTC)11 June Stadium, Tripoli
Full time
What was the result of Aschat vs Abu Salim?
Aschat and Abu Salim drew 0-0 on March 2, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aschat have 2 wins, 5 draws and 8 defeats; Abu Salim have 2, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2019 | Asswehly(away) | 1-2 | Premier League |
| Feb 8, 2019 | Al Ahli Tripoli(home) | 1-3 | Premier League |
| Jan 19, 2019 | Al-Madina(away) | 0-0 | Premier League |
| Jan 11, 2019 | Almahalla(away) | 0-0 | Premier League |
| Dec 21, 2018 | Rafeeq(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2019 | Almahalla(home) | 0-0 | Premier League |
| Jan 29, 2019 | Rafeeq(away) | 1-1 | Premier League |
| Jan 22, 2019 | Alittihad Misurata(away) | 0-0 | Premier League |
| Jan 15, 2019 | Al-Ittihad(away) | 3-0 | Premier League |
| Dec 22, 2018 | Al-Khmes(home) | 1-0 | Premier League |
How many goals should we expect?
Aschat score 0.6 and concede 1.2 goals per match over their last 15; Abu Salim score 0.7 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aschat | 0.6 | 1.2 | 7 | 3/15 | 6/15 |
| Abu Salim | 0.7 | 0.3 | 5 | 1/7 | 1/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Abu Salim | 9 | 1 | 3 | 5 | 8 | 13 | 6 |
A question about Aschat vs Abu Salim?
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