Asswehly vs Al-Ittihad: result 0-2 and analysis
Premier League1st Phase - 7Kick-off on November 1, 2017 at 12:30 PM (UTC)9 July Stadium, Misurata
Full time
What was the result of Asswehly vs Al-Ittihad?
Al-Ittihad won 0-2 on November 1, 2017.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Asswehly have 4 wins, 1 draw and 0 defeats; Al-Ittihad have 5, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 28, 2017 | Aschat(home) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | Olympic Azzaweya(home) | 3-0 | Premier League |
| Oct 12, 2017 | Al-Sharara(away) | 4-0 | Premier League |
| Sep 15, 2017 | Al-Tirsana(home) | 3-1 | Premier League |
| Sep 8, 2017 | Alittihad Misurata(home) | 2-1 | Premier League |
| Aug 22, 2017 | Aschat(away) | 2-0 | Premier League |
How many goals should we expect?
Asswehly score 1.6 and concede 0.2 goals per match over their last 5; Al-Ittihad score 2.8 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Asswehly | 1.6 | 0.2 | 4 | 1/5 | 2/5 |
| Al-Ittihad | 2.8 | 0.4 | 3 | 2/5 | 4/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
Asswehly sit 2nd in Premier League (19 points from 9 matches) and Al-Ittihad sit 1st (22 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al-IttihadGroup 2 | 8 | 7 | 1 | 0 | 18 | 6 | 22 |
| 2 | AsswehlyGroup 1 | 9 | 5 | 4 | 0 | 15 | 7 | 19 |
A question about Asswehly vs Al-Ittihad?
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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