Abha vs Najran: result 3-1 and analysis
Division 1Regular Season - 36Kick-off on May 5, 2019 at 07:00 PM (UTC)Prince Sultan bin Abdulaziz Sports City Stadium, Abha
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What was the result of Abha vs Najran?
Abha won 3-1 on May 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Abha have 8 wins, 6 draws and 1 defeat; Najran have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2019 | Al Najoom(away) | 2-2 | Division 1 |
| Apr 24, 2019 | Al Nahdha(home) | 2-1 | Division 1 |
| Apr 17, 2019 | Jeddah Club(away) | 3-3 | Division 1 |
| Apr 10, 2019 | Al Jabalain(away) | 1-0 | Division 1 |
| Apr 3, 2019 | Al Shoalah(home) | 2-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2019 | Al-Adalah(home) | 1-3 | Division 1 |
| Apr 23, 2019 | Al-Ain Atawlah(away) | 1-1 | Division 1 |
| Apr 16, 2019 | Al Taee(home) | 0-1 | Division 1 |
| Apr 9, 2019 | Al-Kawkab(away) | 2-1 | Division 1 |
| Apr 2, 2019 | Hajer(home) | 1-1 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Abha wins, 1 draw, 0 Najran wins.
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2018 | Najran 0-0 Abha | Division 1 |
How many goals should we expect?
Abha score 1.6 and concede 1.0 goals per match over their last 15; Najran score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Abha | 1.6 | 1.0 | 6 | 8/15 | 7/15 |
| Najran | 1.4 | 1.1 | 1 | 12/15 | 6/15 |
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 Najran?
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