Baynounah SC vs Fursan Hispania: result 2-1 and analysis
Division 1Regular Season - 21Kick-off on February 11, 2023 at 01:25 PM (UTC)Al-Dhaid Stadium, Al-Dhaid (Dhaid)
Full time
What was the result of Baynounah SC vs Fursan Hispania?
Baynounah SC won 2-1 on February 11, 2023.
Goalscorers
- 7′?Baynounah SC
- 50′?Baynounah SC
- 89′?Fursan Hispania
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baynounah SC have 1 wins, 3 draws and 11 defeats; Fursan Hispania have 1, 0 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Al Ramms(away) | 1-3 | Division 1 |
| Jan 29, 2023 | Al Arabi(home) | 2-2 | Division 1 |
| Jan 22, 2023 | Al Thaid(away) | 0-3 | Division 1 |
| Jan 15, 2023 | Masfut(away) | 1-1 | Division 1 |
| Jan 8, 2023 | Masafi(home) | 2-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2023 | Dibba Al Hisn(home) | 0-4 | Division 1 |
| Jan 27, 2023 | Al Fujairah SC(away) | 1-2 | Division 1 |
| Jan 21, 2023 | Gulf Heroes(home) | 1-2 | Division 1 |
| Jan 14, 2023 | Emirates Club(home) | 0-6 | Division 1 |
| Jan 6, 2023 | Hatta SC(away) | 0-2 | Division 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 Baynounah SC win(s), 0 draw(s), 0 Fursan Hispania win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2022 | Fursan Hispania 1-2 Baynounah SC | Division 1 |
Last archived meeting: Fursan Hispania vs Baynounah SC on Oct 1, 2022
How many goals should we expect?
Baynounah SC score 0.7 and concede 2.8 goals per match over their last 15; Fursan Hispania score 0.6 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baynounah SC | 0.7 | 2.8 | 0 | 8/15 | 11/15 |
| Fursan Hispania | 0.6 | 3.1 | 0 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy