Shamiya vs Al Sulaibikhat: result 1-6 and analysis
Division 1Regular Season - 8Kick-off on December 21, 2025 at 02:25 PM (UTC)
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What was the result of Shamiya vs Al Sulaibikhat?
Al Sulaibikhat won 1-6 on December 21, 2025.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Shamiya have 1 win, 0 draws and 6 defeats; Al Sulaibikhat have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2025 | Khaitan(home) | 1-3 | Division 1 |
| Oct 26, 2025 | Burgan(away) | 2-4 | Division 1 |
| Oct 20, 2025 | Sporty(home) | 2-1 | Division 1 |
| Oct 4, 2025 | Al Sahel(away) | 1-3 | Division 1 |
| Sep 29, 2025 | Al Jazira(home) | 0-3 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2025 | Al Jazira(away) | 0-2 | Division 1 |
| Oct 27, 2025 | Al Sahel(home) | 0-1 | Division 1 |
| Oct 20, 2025 | Yarmouk(away) | 0-1 | Division 1 |
| Oct 4, 2025 | Sporty(home) | 2-0 | Division 1 |
| Sep 29, 2025 | Burgan(away) | 3-1 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Shamiya wins, 0 draws, 1 Al Sulaibikhat win.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2025 | Al Sulaibikhat 2-1 Shamiya | Division 1 |
Last archived meeting: Al Sulaibikhat vs Shamiya on Sep 14, 2025
How many goals should we expect?
Shamiya score 1.0 and concede 2.6 goals per match over their last 7; Al Sulaibikhat score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shamiya | 1.0 | 2.6 | 0 | 5/7 | 6/7 |
| Al Sulaibikhat | 1.5 | 1.1 | 2 | 10/15 | 7/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Shamiya | 2 | 0 | 0 | 2 | 1 | 7 | 0 |
A question about Shamiya vs Al Sulaibikhat?
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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