Al Wahda vs Safa: result 2-0 and analysis
AFC Champions League TwoGroup Stage - 2Kick-off on March 6, 2017 at 12:30 PM (UTC)Tishreen Stadium, Damascus
Full time
What was the result of Al Wahda vs Safa?
Al Wahda won 2-0 on March 6, 2017.
Goalscorers
- 28′Mohammad FaresAl Wahda
- 65′Raja RafeAl Wahda
Official lineup for Al Wahda vs Safa
The starting elevens fielded at kick-off.
Al Wahda
- 10Raja Rafe
- 5Mohammad Al Ghabbash
- 6Burhan Sahiwni
- 7Osama Omari
- 85Wael Ayan
- 4Omar Al Midani
- 8Shuaib Alali
- 9Mohammad Fares
- 12Khaled Mobayed
- 24Hadi Faisal Al Masri
- 1Radwan Al Azhar
Safa
- 9Talla N'Diaye
- 17Hussein Awada
- 5Standli Eshabi
- 14Mohammad Qasem
- 15Qasem Laila
- 25D. Mendy
- 77Omar Al Kurdi
- 2Ali Al Saadi
- 3Walid Ismail
- 7Mohammad Zein Tahan
- 1Mehdi Khalil
What is the recent form of both teams?
In their last match in all competitions, Al Wahda have 1 win, 0 draws and 0 defeats; Safa have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2017 | Al-Hidd(away) | 1-0 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2017 | Al Nejmeh(home) | 1-2 | Premier League |
| Feb 25, 2017 | Salam Zgharta(away) | 0-1 | Premier League |
| Feb 20, 2017 | Al Quwa Al Jawiya(home) | 0-0 | AFC Champions League Two |
| Feb 16, 2017 | Al Akhaa Al Ahli(home) | 1-4 | Premier League |
| Feb 10, 2017 | Al Egtmaaey Trablos(away) | 3-3 | Premier League |
How many goals should we expect?
Al Wahda score 1.0 and concede 0.0 goals per match in their last match; Safa score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Wahda | 1.0 | 0.0 | 1 | 0/1 | 0/1 |
| Safa | 1.5 | 1.3 | 6 | 8/15 | 6/15 |
Over the last match in all competitions.
A question about Al Wahda vs Safa?
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