Tadamon Sour vs Racing: result 1-1 and analysis
Premier LeagueRegular Season - 3Kick-off on November 2, 2011 at 01:30 PM (UTC)Sour Stadium, Bayrūt (Beirut)
Full time
What was the result of Tadamon Sour vs Racing?
Tadamon Sour and Racing drew 1-1 on November 2, 2011.
Goalscorers
- 24′Samir HawiRacing (o.g.)
- 39′Hisham Al ShuhaimiTadamon Sour
Official lineup for Tadamon Sour vs Racing
The starting elevens fielded at kick-off.
Tadamon Sour
- GGhassan Shweikh
- NNiazi Al Shuhaimi
- AAhmad Al Shihat
- BBilal Hajo
- JJ. Kamara
- SSamir Hawi
- HHaitham Khadoj
- HHassan Sayed
- HHisham Al Shuhaimi
- AAli Fakih
- MMohammad Maatok
Racing
- IIbrahim Abu Jabal
- AAbbass Swaidan
- WWasim Abdelhady
- MM. Ebi
- HHassan Klit
- SSaraj Said
- WWalid Ismail
- MMohammad Matar
- AA. Precious
- ZZouhair Mourad
- WWissam King
What is the recent form of both teams?
Over their last 2 matches in all competitions, Tadamon Sour have 1 win, 1 draw and 0 defeats; Racing have 0, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2011 | Tripoli SC(away) | 0-0 | Premier League |
| Oct 22, 2011 | Al Ansar(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2011 | Al Ahed(away) | 1-1 | Premier League |
| Oct 23, 2011 | Tripoli SC(home) | 1-1 | Premier League |
How many goals should we expect?
Tadamon Sour score 0.5 and concede 0.0 goals per match over their last 2; Racing score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tadamon Sour | 0.5 | 0.0 | 2 | 0/2 | 0/2 |
| Racing | 1.0 | 1.0 | 0 | 2/2 | 0/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tadamon Sour | 2 | 1 | 1 | 0 | 4 | 3 | 4 |
A question about Tadamon Sour vs Racing?
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