Al-Khmes vs Asaria: result 1-1 and analysis
Premier LeagueRegular Season - 13Kick-off on March 11, 2023 at 01:30 PM (UTC)
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What was the result of Al-Khmes vs Asaria?
Al-Khmes and Asaria drew 1-1 on March 11, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Khmes have 2 wins, 5 draws and 8 defeats; Asaria have 2, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2023 | Al-Ittihad(home) | 1-2 | Premier League |
| Feb 23, 2023 | Al-Madina(away) | 0-0 | Premier League |
| Feb 11, 2023 | Asswehly(home) | 0-2 | Premier League |
| Dec 22, 2022 | Almahalla(home) | 1-1 | Premier League |
| Dec 16, 2022 | Olympic Azzaweya(away) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2023 | Almahalla(away) | 1-1 | Premier League |
| Feb 24, 2023 | Olympic Azzaweya(home) | 0-2 | Premier League |
| Feb 12, 2023 | Al Ahli Tripoli(home) | 1-1 | Premier League |
| Dec 23, 2022 | Alittihad Misurata(home) | 1-1 | Premier League |
| Dec 17, 2022 | Abu Salim(home) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Al-Khmes wins, 0 draws, 1 Asaria win.
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2022 | Asaria 2-1 Al-Khmes | Premier League |
How many goals should we expect?
Al-Khmes score 0.5 and concede 1.1 goals per match over their last 15; Asaria score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Khmes | 0.5 | 1.1 | 4 | 6/15 | 4/15 |
| Asaria | 1.0 | 1.1 | 2 | 7/12 | 2/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Al-Khmes | 9 | 2 | 3 | 4 | 10 | 16 | 9 |
A question about Al-Khmes vs Asaria?
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