Al-Anwar vs Ngom Ajdabiya: result 1-2 and analysis
Premier LeagueGroup 1 - 5Kick-off on January 16, 2019 at 01:00 PM (UTC)
Full time
What was the result of Al-Anwar vs Ngom Ajdabiya?
Ngom Ajdabiya won 1-2 on January 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al-Anwar have 4 wins, 3 draws and 8 defeats; Ngom Ajdabiya have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 1, 2019 | Al-Nasr(home) | 0-1 | Premier League |
| Dec 20, 2018 | Al-Akhdar(away) | 0-1 | Premier League |
| Nov 30, 2018 | Shabaab al Jabal(home) | 0-1 | Premier League |
| Apr 29, 2018 | Al Ahli Benghazi(away) | 0-2 | Premier League |
| Apr 13, 2018 | Al Hilal(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 18, 2018 | Darnes(home) | 1-2 | Premier League |
| Dec 5, 2018 | Al-Tahaddi(away) | 2-1 | Premier League |
| Nov 28, 2018 | Al Sadaqa(home) | 2-2 | Premier League |
| Jun 7, 2018 | Al-Tirsana(away) | 2-1 | Premier League |
| Jun 3, 2018 | Al-Najma(home) | 2-3 | Premier League |
How many goals should we expect?
Al-Anwar score 0.7 and concede 1.4 goals per match over their last 15; Ngom Ajdabiya score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al-Anwar | 0.7 | 1.4 | 2 | 7/15 | 6/15 |
| Ngom Ajdabiya | 1.3 | 1.6 | 2 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Al-Anwar | 8 | 0 | 6 | 2 | 8 | 11 | 6 |
A question about Al-Anwar vs Ngom Ajdabiya?
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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