Abilashehar vs Al-Tirsana: result 0-0 and analysis
Premier LeagueRelegation Round - 3Kick-off on June 24, 2025 at 03:30 PM (UTC)
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What was the result of Abilashehar vs Al-Tirsana?
Abilashehar and Al-Tirsana drew 0-0 on June 24, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Abilashehar have 4 wins, 6 draws and 5 defeats; Al-Tirsana have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2025 | Al Bashaer Club(home) | 2-0 | Premier League |
| May 11, 2025 | Majd(away) | 1-1 | Premier League |
| Apr 11, 2025 | Al Ahli Tripoli(home) | 0-1 | Premier League |
| Apr 6, 2025 | Al-Madina(away) | 2-2 | Premier League |
| Mar 14, 2025 | Alittihad Misurata(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2025 | Majd(home) | 2-0 | Premier League |
| May 11, 2025 | Al Bashaer Club(away) | 2-2 | Premier League |
| Apr 10, 2025 | Al Bashaer Club(home) | 2-2 | Premier League |
| Apr 5, 2025 | Al-Nahda(away) | 7-0 | Premier League |
| Mar 6, 2025 | Al-Ittihad(home) | 0-3 | Premier League |
How many goals should we expect?
Abilashehar score 0.9 and concede 1.1 goals per match over their last 15; Al-Tirsana score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Abilashehar | 0.9 | 1.1 | 4 | 7/15 | 4/15 |
| Al-Tirsana | 1.3 | 1.3 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Abilashehar sit 8th in Premier League (5 points from 8 matches) and Al-Tirsana sit 7th (7 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Al-Tirsana | 8 | 1 | 4 | 3 | 5 | 10 | 7 |
| 8 | Abilashehar | 8 | 1 | 2 | 5 | 8 | 13 | 5 |
A question about Abilashehar vs Al-Tirsana?
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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