Al Badaya vs Al-Ansar: result 2-1 and analysis
Division 2Group A - Round 2Kick-off on October 27, 2017 at 11:20 AM (UTC)
Full time
What was the result of Al Badaya vs Al-Ansar?
Al Badaya won 2-1 on October 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Badaya have 4 wins, 5 draws and 6 defeats; Al-Ansar have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | Al Jabalain(away) | 0-2 | Division 2 |
| Feb 18, 2017 | Al Riyadh(home) | 0-0 | Division 2 |
| Feb 10, 2017 | Al-Thuqbah(away) | 2-3 | Division 2 |
| Feb 4, 2017 | Al Jabalain(away) | 0-0 | Division 2 |
| Jan 28, 2017 | Sdoos(home) | 1-0 | Division 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2017 | Al Riyadh(home) | 2-1 | Division 2 |
| Mar 3, 2017 | Al Mojzel(away) | 1-5 | Division 2 |
| Feb 24, 2017 | Al Mojzel(home) | 0-0 | Division 2 |
| Feb 18, 2017 | Sdoos(away) | 1-0 | Division 2 |
| Feb 10, 2017 | Al-Kawkab(home) | 1-1 | Division 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Badaya wins, 1 draw, 1 Al-Ansar win.
| Date | Score | Competition |
|---|---|---|
| Dec 24, 2016 | Al Badaya 1-1 Al-Ansar | Division 2 |
| Oct 21, 2016 | Al-Ansar 1-0 Al Badaya | Division 2 |
Last archived meeting: Al Badaya vs Al-Ansar on Dec 24, 2016
How many goals should we expect?
Al Badaya score 1.1 and concede 1.5 goals per match over their last 15; Al-Ansar score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Badaya | 1.1 | 1.5 | 5 | 7/15 | 5/15 |
| Al-Ansar | 1.5 | 1.3 | 4 | 11/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Al Badaya 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