Bisha vs Al Gottah: result 0-0 and analysis
Division 2Regular Season - 24Kick-off on February 21, 2026 at 07:00 PM (UTC)
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What was the result of Bisha vs Al Gottah?
Bisha and Al Gottah drew 0-0 on February 21, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bisha have 0 wins, 3 draws and 12 defeats; Al Gottah have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2026 | Al-Kawkab(away) | 2-3 | Division 2 |
| Feb 12, 2026 | Ohod(home) | 1-1 | Division 2 |
| Feb 7, 2026 | Al Qalah(home) | 0-2 | Division 2 |
| Jan 31, 2026 | Al Safa(away) | 1-2 | Division 2 |
| Jan 24, 2026 | Arar(home) | 2-4 | Division 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2026 | Hetten FC(home) | 4-2 | Division 2 |
| Feb 12, 2026 | Al-Kawkab(home) | 1-3 | Division 2 |
| Feb 7, 2026 | Al Rayan(away) | 1-2 | Division 2 |
| Jan 30, 2026 | Al Loa(home) | 4-4 | Division 2 |
| Jan 24, 2026 | Al Safa(away) | 0-0 | Division 2 |
What does the head-to-head say?
In the last meeting: 0 Bisha wins, 0 draws, 1 Al Gottah win.
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2025 | Al Gottah 2-0 Bisha | Division 2 |
How many goals should we expect?
Bisha score 0.7 and concede 2.5 goals per match over their last 15; Al Gottah score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bisha | 0.7 | 2.5 | 0 | 8/15 | 9/15 |
| Al Gottah | 1.7 | 1.2 | 7 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Al Gottah | 1 | 0 | 0 | 1 | 1 | 3 | 0 |
A question about Bisha vs Al Gottah?
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