Al Nahdha vs Al Bukayriyah: result 3-1 and analysis
Division 1Regular Season - 7Kick-off on September 30, 2019 at 03:10 PM (UTC)Prince Fahad bin Salman Stadium (Al Nahda), Dammam
Full time
What was the result of Al Nahdha vs Al Bukayriyah?
Al Nahdha won 3-1 on September 30, 2019.
Goalscorers
- 18′?Al Bukayriyah
- 44′?Al Nahdha
- 90′?Al Nahdha (pen.)
- 90′?Al Nahdha
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Nahdha have 6 wins, 1 draw and 8 defeats; Al Bukayriyah have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2019 | Al Taqdom(away) | 1-1 | Division 1 |
| Sep 17, 2019 | Al-Qadisiyah FC(home) | 3-0 | Division 1 |
| Sep 10, 2019 | Al Jeel(away) | 0-1 | Division 1 |
| Sep 4, 2019 | Al Taee(home) | 0-2 | Division 1 |
| Aug 27, 2019 | Al Baten(away) | 0-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Al-Kawkab(home) | 5-0 | Division 1 |
| Sep 18, 2019 | Al-Ansar(away) | 1-0 | Division 1 |
| Sep 11, 2019 | Al Taqdom(away) | 4-0 | Division 1 |
| Sep 3, 2019 | Al-Qadisiyah FC(home) | 3-3 | Division 1 |
| Aug 27, 2019 | Al Jeel(away) | 2-2 | Division 1 |
How many goals should we expect?
Al Nahdha score 1.1 and concede 1.1 goals per match over their last 15; Al Bukayriyah score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Nahdha | 1.1 | 1.1 | 3 | 6/15 | 6/15 |
| Al Bukayriyah | 1.9 | 0.9 | 7 | 7/15 | 7/15 |
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 Bukayriyah | 11 | 1 | 3 | 7 | 8 | 22 | 6 |
A question about Al Nahdha vs Al Bukayriyah?
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