Aschat vs Asswehly: result 0-1 and analysis
Premier League2nd Phase - 2Kick-off on February 24, 2018 at 01:30 PM (UTC)11 June Stadium, Tripoli
Full time
What was the result of Aschat vs Asswehly?
Asswehly won 0-1 on February 24, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Aschat have 1 win, 2 draws and 3 defeats; Asswehly have 4, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2017 | Olympic Azzaweya(home) | 0-1 | Premier League |
| Oct 25, 2017 | Al-Sharara(away) | 0-0 | Premier League |
| Oct 14, 2017 | Al-Tirsana(away) | 2-1 | Premier League |
| Sep 23, 2017 | Alittihad Misurata(home) | 2-2 | Premier League |
| Aug 28, 2017 | Asswehly(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2017 | Al-Ittihad(home) | 0-2 | Premier League |
| Oct 25, 2017 | Olympic Azzaweya(away) | 0-0 | Premier League |
| Oct 19, 2017 | Al-Sharara(home) | 2-0 | Premier League |
| Sep 22, 2017 | Al-Tirsana(away) | 3-0 | Premier League |
| Sep 14, 2017 | Alittihad Misurata(away) | 1-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Aschat wins, 0 draws, 1 Asswehly win.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2017 | Asswehly 2-1 Aschat | Premier League |
How many goals should we expect?
Aschat score 0.8 and concede 1.3 goals per match over their last 6; Asswehly score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aschat | 0.8 | 1.3 | 1 | 3/6 | 3/6 |
| Asswehly | 1.3 | 0.5 | 4 | 1/6 | 2/6 |
Over the last 6 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 Aschat 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