Olympic El Qanah vs El Dakhleya: result 0-1 and analysis
Second League - Group BGroup B · Matchday 12Kick-off on December 25, 2021 at 12:30 PM (UTC)Suez Canal Stadium, Ismailia
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What was the result of Olympic El Qanah vs El Dakhleya?
El Dakhleya won 0-1 on December 25, 2021.
Goalscorers
- 37′?El Dakhleya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olympic El Qanah have 4 wins, 5 draws and 6 defeats; El Dakhleya have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2021 | Belbeis(away) | 1-1 | Second League - Group B |
| Dec 10, 2021 | Itesalat(home) | 0-0 | Second League - Group B |
| Dec 3, 2021 | Tersana(away) | 3-0 | Second League - Group B |
| Nov 25, 2021 | AL Nasr SC(home) | 1-0 | Second League - Group B |
| Nov 20, 2021 | Petrojet(away) | 1-2 | Second League - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2021 | Suez(home) | 0-0 | Second League - Group B |
| Dec 10, 2021 | Wadi Degla(away) | 1-3 | Second League - Group B |
| Dec 3, 2021 | Bur Fouad(home) | 3-1 | Second League - Group B |
| Nov 19, 2021 | El Seka El Hadid(away) | 1-2 | Second League - Group B |
| Nov 12, 2021 | Banha(home) | 2-0 | Second League - Group B |
How many goals should we expect?
Olympic El Qanah score 0.7 and concede 1.1 goals per match over their last 15; El Dakhleya score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympic El Qanah | 0.7 | 1.1 | 7 | 4/15 | 5/15 |
| El Dakhleya | 1.3 | 1.5 | 3 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Olympic El Qanah | 30 | 16 | 5 | 9 | 33 | 25 | 53 |
A question about Olympic El Qanah vs El Dakhleya?
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