Al Jeel vs Najran: result 2-2 and analysis
Division 1Regular Season - 18Kick-off on December 25, 2018 at 02:40 PM (UTC)Prince Abdullah bin Jalawi Sports City Stadium, Al-Hasa
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What was the result of Al Jeel vs Najran?
Al Jeel and Najran drew 2-2 on December 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Jeel have 7 wins, 2 draws and 6 defeats; Najran have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2018 | Al Najoom(away) | 1-4 | Division 1 |
| Dec 11, 2018 | Al Nahdha(home) | 0-0 | Division 1 |
| Dec 5, 2018 | Jeddah Club(away) | 0-2 | Division 1 |
| Nov 28, 2018 | Al Jabalain(home) | 4-1 | Division 1 |
| Nov 21, 2018 | Al Shoalah(away) | 2-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2018 | Abha(home) | 0-0 | Division 1 |
| Dec 12, 2018 | Al-Adalah(away) | 0-2 | Division 1 |
| Dec 5, 2018 | Al-Ain Atawlah(home) | 2-0 | Division 1 |
| Nov 27, 2018 | Al Taee(away) | 0-1 | Division 1 |
| Nov 21, 2018 | Al-Kawkab(home) | 1-1 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Jeel wins, 1 draw, 1 Najran win.
| Date | Score | Competition |
|---|---|---|
| Apr 7, 2017 | Najran 1-1 Al Jeel | Division 1 |
| Nov 25, 2016 | Al Jeel 1-3 Najran | Division 1 |
How many goals should we expect?
Al Jeel score 1.3 and concede 1.3 goals per match over their last 15; Najran score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jeel | 1.3 | 1.3 | 6 | 5/15 | 8/15 |
| Najran | 0.9 | 1.0 | 4 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Al Jeel | 6 | 0 | 2 | 4 | 0 | 7 | 2 |
A question about Al Jeel 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