Shabaab al Jabal vs Al Sadaqa: result 1-0 and analysis
Premier LeagueGroup 1 · Matchday 11Kick-off on March 13, 2019 at 01:30 PM (UTC)
Full time
What was the result of Shabaab al Jabal vs Al Sadaqa?
Shabaab al Jabal won 1-0 on March 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabaab al Jabal have 5 wins, 5 draws and 5 defeats; Al Sadaqa have 3, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2019 | Ngom Ajdabiya(away) | 0-1 | Premier League |
| Feb 12, 2019 | Al-Akhdar(away) | 1-2 | Premier League |
| Feb 4, 2019 | Al-Nasr(home) | 2-1 | Premier League |
| Jan 21, 2019 | Al Hilal(home) | 1-0 | Premier League |
| Jan 11, 2019 | Al Ta'awon(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2019 | Al Ta'awon(away) | 1-1 | Premier League |
| Feb 11, 2019 | Khaleej Sart(away) | 0-0 | Premier League |
| Feb 5, 2019 | Al Ahli Benghazi(home) | 1-1 | Premier League |
| Jan 22, 2019 | Al-Anwar(home) | 1-0 | Premier League |
| Jan 13, 2019 | Darnes(away) | 1-0 | Premier League |
How many goals should we expect?
Shabaab al Jabal score 1.0 and concede 1.0 goals per match over their last 15; Al Sadaqa score 1.0 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabaab al Jabal | 1.0 | 1.0 | 5 | 7/15 | 7/15 |
| Al Sadaqa | 1.0 | 0.6 | 4 | 4/8 | 1/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Al Sadaqa | 8 | 3 | 2 | 3 | 10 | 9 | 11 |
A question about Shabaab al Jabal vs Al Sadaqa?
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