Zamalek SC vs Misr EL Makasa: result 3-1 and analysis
Premier LeagueRegular Season - 12Kick-off on December 9, 2014 at 05:30 PM (UTC)30 June Air Defence Stadium, al-Qāhirah (Cairo)
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What was the result of Zamalek SC vs Misr EL Makasa?
Zamalek SC won 3-1 on December 9, 2014.
Goalscorers
- 37′Ahmed Samir MohamedZamalek SC (pen.)
- 58′Ayman AbdelazizMisr EL Makasa
- 70′Momen ZakariaZamalek SC
- 89′Ahmed El SayedZamalek SC (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zamalek SC have 8 wins, 5 draws and 2 defeats; Misr EL Makasa have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2014 | Ismaily SC(away) | 0-0 | Premier League |
| Nov 29, 2014 | AL Masry(home) | 1-0 | Premier League |
| Nov 23, 2014 | El Raja Marsa Matruh(away) | 3-2 | Premier League |
| Nov 5, 2014 | Haras El Hodood(home) | 2-0 | Premier League |
| Oct 30, 2014 | Al Ittihad(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2014 | AL Masry(home) | 3-2 | Premier League |
| Nov 27, 2014 | Haras El Hodood(away) | 2-2 | Premier League |
| Nov 22, 2014 | Smouha SC(home) | 0-2 | Premier League |
| Nov 4, 2014 | El Dakhleya(away) | 1-1 | Premier League |
| Oct 29, 2014 | El Geish(home) | 1-6 | Premier League |
How many goals should we expect?
Zamalek SC score 1.5 and concede 0.6 goals per match over their last 15; Misr EL Makasa score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zamalek SC | 1.5 | 0.6 | 10 | 4/15 | 4/15 |
| Misr EL Makasa | 1.4 | 1.9 | 2 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Zamalek SC | 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