Abha vs Hajer: result 2-1 and analysis
Division 1Regular Season - 21Kick-off on January 30, 2019 at 12:55 PM (UTC)Prince Sultan bin Abdulaziz Sports City Stadium, Abha
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What was the result of Abha vs Hajer?
Abha won 2-1 on January 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Abha have 6 wins, 4 draws and 5 defeats; Hajer have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2019 | Al-Kawkab(away) | 2-0 | Division 1 |
| Jan 22, 2019 | Al Jeel(home) | 0-1 | King's Cup |
| Jan 14, 2019 | Al Bukayriyah(away) | 4-0 | King's Cup |
| Jan 9, 2019 | Damac(away) | 0-0 | Division 1 |
| Jan 3, 2019 | Al Jabalain(home) | 4-0 | King's Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2019 | Al Jeel(home) | 2-3 | Division 1 |
| Jan 16, 2019 | Al-Hilal Saudi FC(home) | 0-3 | King's Cup |
| Jan 9, 2019 | Al-Adalah(home) | 0-1 | Division 1 |
| Jan 2, 2019 | Al-Hait(away) | 1-0 | King's Cup |
| Dec 30, 2018 | Al-Ain Atawlah(home) | 1-0 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Abha wins, 0 draws, 1 Hajer win.
| Date | Score | Competition |
|---|---|---|
| Sep 4, 2018 | Hajer 2-0 Abha | Division 1 |
How many goals should we expect?
Abha score 1.3 and concede 0.8 goals per match over their last 15; Hajer score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Abha | 1.3 | 0.8 | 8 | 4/15 | 5/15 |
| Hajer | 0.7 | 1.0 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Hajer | 6 | 1 | 3 | 2 | 4 | 7 | 6 |
A question about Abha vs Hajer?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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