El Mansura vs El Dakhleya: result 0-0 and analysis
Second LeagueRegular Season - 6Kick-off on November 10, 2024 at 12:30 PM (UTC)al-Manṣūrah Stadium, El Mansoura
Full time
What was the result of El Mansura vs El Dakhleya?
El Mansura and El Dakhleya drew 0-0 on November 10, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, El Mansura have 3 wins, 4 draws and 8 defeats; El Dakhleya have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | Olympic El Qanah(away) | 2-2 | Second League |
| Oct 27, 2024 | Tersana(home) | 0-1 | Second League |
| Oct 20, 2024 | Kahraba Ismailia(away) | 0-2 | Second League |
| Oct 14, 2024 | El Seka El Hadid(home) | 0-1 | Second League |
| Oct 7, 2024 | Abu Qair Semad(away) | 0-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2024 | Aswan Sc(home) | 0-0 | Second League |
| Oct 28, 2024 | Dayrout(away) | 1-0 | Second League |
| Oct 20, 2024 | Suez(home) | 0-1 | Second League |
| Oct 13, 2024 | El Mokawloon(away) | 1-2 | Second League |
| Oct 7, 2024 | Baladiyyat Al Mehalla(home) | 0-1 | Second League |
How many goals should we expect?
El Mansura score 0.7 and concede 1.2 goals per match over their last 15; El Dakhleya score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| El Mansura | 0.7 | 1.2 | 3 | 6/15 | 5/15 |
| El Dakhleya | 0.6 | 1.3 | 4 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
El Mansura sit 4th in Second League (3 points from 1 matches) and El Dakhleya sit 13th (1 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | El Mansura | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
| 13 | El Dakhleya | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy