Wathba vs Al Jazira: prediction and stats
Premier LeagueRegular Season - 17Kick-off on January 13, 2023 at 11:00 AM (UTC)Khaled bin Walid Stadium, Homs
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wathba have 9 wins, 3 draws and 3 defeats; Al Jazira have 0, 0 and 15.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2023 | Tishreen(home) | 1-1 | Premier League |
| Nov 21, 2022 | Al Jazira(away) | 1-0 | Premier League |
| Oct 14, 2022 | Al Majd(home) | 4-1 | Premier League |
| Oct 7, 2022 | Jabala(home) | 1-1 | Premier League |
| Sep 30, 2022 | Hottin(away) | 2-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 7, 2023 | Al Ittihad(home) | 0-3 | Premier League |
| Dec 14, 2022 | Foutoua(home) | 1-2 | Premier League |
| Dec 10, 2022 | Al Majd(away) | 1-2 | Premier League |
| Nov 25, 2022 | Jaish(home) | 0-1 | Premier League |
| Nov 21, 2022 | Wathba(home) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 3 Wathba wins, 0 draws, 0 Al Jazira wins.
| Date | Score | Competition |
|---|---|---|
| Nov 21, 2022 | Al Jazira 0-1 Wathba | Premier League |
| Jun 13, 2020 | Wathba 3-0 Al Jazira | Premier League |
| Nov 29, 2019 | Al Jazira 0-2 Wathba | Premier League |
How many goals should we expect?
Wathba score 1.5 and concede 0.8 goals per match over their last 15; Al Jazira score 0.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wathba | 1.5 | 0.8 | 5 | 7/15 | 5/15 |
| Al Jazira | 0.3 | 2.1 | 0 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Wathba | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
A question about Wathba vs Al Jazira?
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