Asaria vs Asswehly: result 2-2 and analysis
Premier LeagueRegular Season - 16Kick-off on May 25, 2023 at 02:30 PM (UTC)
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What was the result of Asaria vs Asswehly?
Asaria and Asswehly drew 2-2 on May 25, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Asaria have 2 wins, 9 draws and 4 defeats; Asswehly have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2023 | Al-Ittihad(away) | 0-4 | Premier League |
| May 6, 2023 | Al-Madina(home) | 0-0 | Premier League |
| Mar 11, 2023 | Al-Khmes(away) | 1-1 | Premier League |
| Mar 4, 2023 | Almahalla(away) | 1-1 | Premier League |
| Feb 24, 2023 | Olympic Azzaweya(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2023 | Olympic Azzaweya(home) | 2-1 | Premier League |
| May 5, 2023 | Al-Ittihad(home) | 0-1 | Premier League |
| Mar 10, 2023 | Al Ahli Tripoli(away) | 1-4 | Premier League |
| Mar 2, 2023 | Al-Madina(home) | 1-1 | Premier League |
| Feb 23, 2023 | Alittihad Misurata(away) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Asaria wins, 1 draw, 0 Asswehly wins.
| Date | Score | Competition |
|---|---|---|
| Dec 11, 2022 | Asswehly 3-3 Asaria | Premier League |
How many goals should we expect?
Asaria score 0.9 and concede 1.2 goals per match over their last 15; Asswehly score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asaria | 0.9 | 1.2 | 3 | 8/15 | 3/15 |
| Asswehly | 1.0 | 1.1 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Asswehly | 9 | 5 | 4 | 0 | 15 | 7 | 19 |
A question about Asaria vs Asswehly?
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