Bekaa vs Al Ansar: result 1-4 and analysis
Premier LeagueRegular Season - 7Kick-off on November 10, 2018 at 12:15 PM (UTC)Al-Nabi Shayth Stadium, Al-Nabi Shayth
Full time
What was the result of Bekaa vs Al Ansar?
Al Ansar won 1-4 on November 10, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Bekaa have 1 win, 3 draws and 2 defeats; Al Ansar have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Al Nejmeh(home) | 0-0 | Premier League |
| Oct 28, 2018 | Shabab Al Ghazieh(away) | 3-3 | Premier League |
| Oct 21, 2018 | Shabab Al Sahel(home) | 0-2 | Premier League |
| Oct 7, 2018 | Al Ahed(home) | 0-1 | Premier League |
| Oct 3, 2018 | Salam Zgharta(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Shabab Al Ghazieh(home) | 3-0 | Premier League |
| Oct 27, 2018 | Al Ahed(home) | 0-1 | Premier League |
| Oct 19, 2018 | Racing(away) | 1-0 | Premier League |
| Oct 5, 2018 | Safa(home) | 1-1 | Premier League |
| Sep 29, 2018 | Tadamon Sour(away) | 2-0 | Premier League |
How many goals should we expect?
Bekaa score 0.8 and concede 1.0 goals per match over their last 6; Al Ansar score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bekaa | 0.8 | 1.0 | 3 | 1/6 | 1/6 |
| Al Ansar | 1.1 | 1.0 | 6 | 6/15 | 5/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Al Ansar | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
A question about Bekaa vs Al Ansar?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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