UMM Salal vs Al Sadd: result 1-3 and analysis
Stars LeagueRegular Season - 2Kick-off on September 24, 2011 at 03:30 PM (UTC)Suheim Bin Hamad Stadium (Qatar SC Stadium), Doha
Full time
What was the result of UMM Salal vs Al Sadd?
Al Sadd won 1-3 on September 24, 2011.
Goalscorers
- 25′Tamir JamalUMM Salal
- 35′Wesam RizikAl Sadd
- 45′M. NiangAl Sadd
- 82′M. NiangAl Sadd
Official lineup for UMM Salal vs Al Sadd
The starting elevens fielded at kick-off.
UMM Salal
- 9Everaldo de Jesus Pereira
- 14Mohammad Jeddo
- 15Mustafa Aden
- 20Jawad Akeel Ahannach
- 2Mohammed Husain
- 4Younes Yaghoob
- 7Tamir Jamal
- 19Mujeeb Hamid Qamer
- 24Musa Haroon Jamaa
- 33Khalid Nouruddin Jaberti
- 22Saleh Allahyar
Al Sadd
- 9M. Niang
- 14Khalfan Ibrahim Khalfan Al Khalfan
- 20Ali Hassan Afif
- 8Mesaad Ali Al Hamad
- 12Abdul Kader Keïta
- 15Talal Al Bloushi
- 25Wesam Rizik
- 21Abdulla Obaid
- 39Nadir Belhadj
- 40Lee Jung-Soo
- 30Mohamed Saqr Ahmed
What is the recent form of both teams?
In their last match in all competitions, UMM Salal have 0 wins, 1 draw and 0 defeats; Al Sadd have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2011 | Al-Rayyan SC(home) | 1-1 | Stars League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2011 | Al Kharaitiyat(home) | 1-1 | Stars League |
How many goals should we expect?
UMM Salal score 1.0 and concede 1.0 goals per match in their last match; Al Sadd score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UMM Salal | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
| Al Sadd | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al Sadd | 5 | 4 | 0 | 1 | 21 | 10 | 12 |
A question about UMM Salal vs Al Sadd?
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