Al-Madina vs Aschat: result 0-1 and analysis
Premier LeagueRegular Season - 11Kick-off on May 22, 2021 at 02:30 PM (UTC)11 June Stadium, Tripoli
Full time
What was the result of Al-Madina vs Aschat?
Aschat won 0-1 on May 22, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Madina have 6 wins, 7 draws and 2 defeats; Aschat have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2021 | Abu Salim(home) | 2-2 | Premier League |
| May 6, 2021 | Almahalla(away) | 1-1 | Premier League |
| Apr 28, 2021 | Rafeeq(home) | 1-0 | Premier League |
| Apr 11, 2021 | Al-Khmes(away) | 1-2 | Premier League |
| Mar 12, 2021 | Olympic Azzaweya(home) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2021 | Asswehly(away) | 0-1 | Premier League |
| May 3, 2021 | Al-Ittihad(home) | 1-2 | Premier League |
| Apr 29, 2021 | Abu Salim(home) | 0-1 | Premier League |
| Apr 9, 2021 | Almahalla(away) | 0-1 | Premier League |
| Mar 8, 2021 | Rafeeq(home) | 1-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Al-Madina wins, 1 draw, 0 Aschat wins.
| Date | Score | Competition |
|---|---|---|
| Jan 19, 2019 | Al-Madina 0-0 Aschat | Premier League |
How many goals should we expect?
Al-Madina score 1.0 and concede 0.5 goals per match over their last 15; Aschat score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Madina | 1.0 | 0.5 | 9 | 5/15 | 3/15 |
| Aschat | 0.6 | 1.5 | 3 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Al-Madina | 9 | 3 | 3 | 3 | 11 | 10 | 12 |
A question about Al-Madina vs Aschat?
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