Bisha vs Jeddah Club: result 0-0 and analysis
Division 1Regular Season - 29Kick-off on March 23, 2022 at 01:15 PM (UTC)King Saud Sport City Stadium, Al Bahah
Full time
What was the result of Bisha vs Jeddah Club?
Bisha and Jeddah Club drew 0-0 on March 23, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bisha have 1 win, 7 draws and 7 defeats; Jeddah Club 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 |
|---|---|---|---|
| Mar 14, 2022 | Al-Qadisiyah FC(home) | 0-0 | Division 1 |
| Mar 8, 2022 | Al-Kawkab(home) | 1-1 | Division 1 |
| Mar 2, 2022 | Al Kholood(away) | 0-1 | Division 1 |
| Feb 21, 2022 | Al Jeel(home) | 2-2 | Division 1 |
| Feb 15, 2022 | Al Jabalain(away) | 1-0 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2022 | Al Jabalain(away) | 1-2 | Division 1 |
| Mar 9, 2022 | Najran(home) | 1-2 | Division 1 |
| Feb 28, 2022 | Al Jeel(away) | 2-1 | Division 1 |
| Feb 22, 2022 | Al Sahel(home) | 2-0 | Division 1 |
| Feb 16, 2022 | Al-Kawkab(away) | 1-0 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Bisha wins, 0 draws, 1 Jeddah Club win.
| Date | Score | Competition |
|---|---|---|
| Nov 10, 2021 | Jeddah Club 4-1 Bisha | Division 1 |
How many goals should we expect?
Bisha score 0.8 and concede 1.3 goals per match over their last 15; Jeddah Club score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bisha | 0.8 | 1.3 | 3 | 8/15 | 5/15 |
| Jeddah Club | 0.8 | 1.0 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Jeddah Club | 8 | 2 | 2 | 4 | 6 | 9 | 8 |
A question about Bisha vs Jeddah Club?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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