Al Qaisoma vs Najran: result 1-2 and analysis
Division 1Regular Season - 28Kick-off on March 12, 2019 at 12:55 PM (UTC)Al-Batin FC Stadium, Hafar Al-Batin
Full time
What was the result of Al Qaisoma vs Najran?
Najran won 1-2 on March 12, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Qaisoma have 9 wins, 2 draws and 4 defeats; Najran have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2019 | Al Najoom(away) | 1-2 | Division 1 |
| Feb 26, 2019 | Al Nahdha(home) | 4-0 | Division 1 |
| Feb 20, 2019 | Jeddah Club(home) | 2-2 | Division 1 |
| Feb 12, 2019 | Al Jabalain(home) | 0-2 | Division 1 |
| Feb 6, 2019 | Al Shoalah(away) | 2-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2019 | Al-Ansar(home) | 3-1 | Division 1 |
| Feb 26, 2019 | Al Najoom(home) | 4-2 | Division 1 |
| Feb 19, 2019 | Al Nahdha(away) | 0-1 | Division 1 |
| Feb 12, 2019 | Jeddah Club(home) | 3-1 | Division 1 |
| Feb 6, 2019 | Al Jabalain(away) | 1-1 | Division 1 |
What does the head-to-head say?
Across the last 5 meetings: 2 Al Qaisoma wins, 0 draws, 3 Najran wins.
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2018 | Najran 2-0 Al Qaisoma | Division 1 |
| Feb 21, 2018 | Al Qaisoma 0-3 Najran | Division 1 |
| Oct 25, 2017 | Najran 1-3 Al Qaisoma | Division 1 |
| Jan 28, 2017 | Najran 3-1 Al Qaisoma | Division 1 |
| Sep 18, 2016 | Al Qaisoma 2-1 Najran | Division 1 |
How many goals should we expect?
Al Qaisoma score 1.6 and concede 1.1 goals per match over their last 15; Najran score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Qaisoma | 1.6 | 1.1 | 6 | 8/15 | 10/15 |
| Najran | 1.1 | 1.0 | 4 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Al Qaisoma 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