Shabab Al-Ghar vs Al-Ittihad: result 0-0 and analysis
Premier LeagueWest - 9Kick-off on January 26, 2025 at 03:30 PM (UTC)
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What was the result of Shabab Al-Ghar vs Al-Ittihad?
Shabab Al-Ghar and Al-Ittihad drew 0-0 on January 26, 2025.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Shabab Al-Ghar have 3 wins, 3 draws and 1 defeat; Al-Ittihad have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 21, 2025 | Abu Salim(away) | 2-1 | Premier League |
| Jan 14, 2025 | Asswehly(home) | 1-2 | Premier League |
| Jan 8, 2025 | Olympic Azzaweya(away) | 1-1 | Premier League |
| Jan 3, 2025 | Al-Magd(home) | 1-0 | Premier League |
| Dec 23, 2024 | Al Bashaer Club(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 20, 2025 | Al Bashaer Club(home) | 1-0 | Premier League |
| Jan 15, 2025 | Al-Nahda(away) | 4-0 | Premier League |
| Jan 8, 2025 | Al-Tirsana(home) | 1-0 | Premier League |
| Dec 29, 2024 | Abu Salim(away) | 0-1 | Premier League |
| Dec 23, 2024 | Asswehly(home) | 0-1 | Premier League |
How many goals should we expect?
Shabab Al-Ghar score 1.3 and concede 0.9 goals per match over their last 7; Al-Ittihad score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabab Al-Ghar | 1.3 | 0.9 | 3 | 4/7 | 3/7 |
| Al-Ittihad | 1.3 | 0.9 | 5 | 6/15 | 4/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Shabab Al-Ghar sit 4th in Premier League (11 points from 8 matches) and Al-Ittihad sit 1st (22 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al-Ittihad | 8 | 7 | 1 | 0 | 18 | 6 | 22 |
| 4 | Shabab Al-Ghar | 8 | 3 | 2 | 3 | 10 | 14 | 11 |
A question about Shabab Al-Ghar vs Al-Ittihad?
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