Aschat vs Abu Salim: result 0-1 and analysis
Premier LeagueRegular Season - 8Kick-off on April 29, 2021 at 09:00 PM (UTC)11 June Stadium, Tripoli
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What was the result of Aschat vs Abu Salim?
Abu Salim won 0-1 on April 29, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aschat have 1 win, 6 draws and 8 defeats; Abu Salim have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2021 | Almahalla(away) | 0-1 | Premier League |
| Mar 8, 2021 | Rafeeq(home) | 1-0 | Premier League |
| Mar 2, 2021 | Al-Khmes(away) | 2-4 | Premier League |
| Feb 23, 2021 | Olympic Azzaweya(home) | 0-2 | Premier League |
| Feb 16, 2021 | Al Ahli Tripoli(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2021 | Al-Ittihad(home) | 0-2 | Premier League |
| Mar 9, 2021 | Almahalla(home) | 0-2 | Premier League |
| Mar 1, 2021 | Rafeeq(away) | 0-1 | Premier League |
| Feb 22, 2021 | Al-Khmes(home) | 0-0 | Premier League |
| Feb 16, 2021 | Olympic Azzaweya(away) | 2-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Aschat wins, 1 draw, 0 Abu Salim wins.
| Date | Score | Competition |
|---|---|---|
| Mar 2, 2019 | Aschat 0-0 Abu Salim | Premier League |
How many goals should we expect?
Aschat score 0.5 and concede 1.3 goals per match over their last 15; Abu Salim score 0.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aschat | 0.5 | 1.3 | 6 | 6/15 | 5/15 |
| Abu Salim | 0.6 | 0.8 | 8 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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.
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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