Najran vs Hajer: result 2-1 and analysis
Division 1Regular Season - 11Kick-off on November 21, 2017 at 12:30 PM (UTC)Prince Hathloul Bin Abdul Aziz Sport City Stadium, Najran
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What was the result of Najran vs Hajer?
Najran won 2-1 on November 21, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Najran have 5 wins, 7 draws and 3 defeats; Hajer have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 14, 2017 | Al Shoalah(away) | 3-2 | Division 1 |
| Nov 7, 2017 | Al Nahdha(home) | 2-1 | Division 1 |
| Oct 31, 2017 | Al Orubah(away) | 2-2 | Division 1 |
| Oct 25, 2017 | Al Qaisoma(home) | 1-3 | Division 1 |
| Oct 17, 2017 | Al-Hazm(away) | 1-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 14, 2017 | Al Mojzel(home) | 2-1 | Division 1 |
| Nov 7, 2017 | Al Shoalah(home) | 1-1 | Division 1 |
| Oct 31, 2017 | Al Nahdha(away) | 1-0 | Division 1 |
| Oct 25, 2017 | Al Orubah(home) | 2-0 | Division 1 |
| Oct 17, 2017 | Al Qaisoma(away) | 2-1 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 Najran wins, 0 draws, 0 Hajer wins.
| Date | Score | Competition |
|---|---|---|
| May 5, 2017 | Najran 3-1 Hajer | Division 1 |
| Dec 22, 2016 | Hajer 1-2 Najran | Division 1 |
How many goals should we expect?
Najran score 1.4 and concede 1.3 goals per match over their last 15; Hajer score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Najran | 1.4 | 1.3 | 3 | 11/15 | 7/15 |
| Hajer | 1.2 | 1.3 | 3 | 9/15 | 9/15 |
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 Najran 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