Abha vs Al Qaisoma: result 1-2 and analysis
Division 1Regular Season - 18Kick-off on December 25, 2018 at 12:40 PM (UTC)Prince Sultan bin Abdulaziz Sports City Stadium, Abha
Full time
What was the result of Abha vs Al Qaisoma?
Al Qaisoma won 1-2 on December 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Abha have 8 wins, 4 draws and 3 defeats; Al Qaisoma have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2018 | Najran(away) | 0-0 | Division 1 |
| Dec 12, 2018 | Al Najoom(home) | 4-2 | Division 1 |
| Dec 5, 2018 | Al Nahdha(away) | 2-0 | Division 1 |
| Nov 28, 2018 | Jeddah Club(home) | 1-1 | Division 1 |
| Nov 20, 2018 | Al Jabalain(home) | 0-0 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 18, 2018 | Al-Adalah(home) | 1-2 | Division 1 |
| Dec 12, 2018 | Al-Ain Atawlah(away) | 1-0 | Division 1 |
| Dec 4, 2018 | Al Taee(home) | 0-0 | Division 1 |
| Nov 27, 2018 | Al-Kawkab(away) | 1-2 | Division 1 |
| Nov 20, 2018 | Hajer(away) | 0-0 | Division 1 |
How many goals should we expect?
Abha score 1.2 and concede 0.7 goals per match over their last 15; Al Qaisoma score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Abha | 1.2 | 0.7 | 7 | 5/15 | 3/15 |
| Al Qaisoma | 0.8 | 1.8 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Abha | 34 | 24 | 5 | 5 | 64 | 35 | 77 |
A question about Abha vs Al Qaisoma?
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