AL Nasr SC vs Petrojet: result 2-3 and analysis
Premier LeagueRegular Season - 8Kick-off on November 3, 2014 at 03:00 PM (UTC)30 June Air Defence Stadium, al-Qāhirah (Cairo)
Full time
What was the result of AL Nasr SC vs Petrojet?
Petrojet won 2-3 on November 3, 2014.
Goalscorers
- 14′James Teddy OwoboskiniPetrojet
- 49′S. BekelePetrojet
- 57′Sameh ShoushaPetrojet (pen.)
- 80′253077AL Nasr SC
- 90′253086AL Nasr SC
What is the recent form of both teams?
Over their last 7 matches in all competitions, AL Nasr SC have 0 wins, 1 draw and 6 defeats; Petrojet have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2014 | El Gouna FC(away) | 1-2 | Premier League |
| Oct 23, 2014 | Misr EL Makasa(home) | 0-2 | Premier League |
| Oct 19, 2014 | AL Masry(away) | 2-3 | Premier League |
| Oct 2, 2014 | Haras El Hodood(home) | 2-2 | Premier League |
| Sep 25, 2014 | Smouha SC(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2014 | AL Mokawloon(home) | 2-1 | Premier League |
| Oct 25, 2014 | Alaab Damanhour(away) | 2-0 | Premier League |
| Oct 20, 2014 | Pyramids FC(home) | 2-1 | Premier League |
| Oct 1, 2014 | Ismaily SC(away) | 1-2 | Premier League |
| Sep 25, 2014 | El Raja Marsa Matruh(home) | 0-2 | Premier League |
How many goals should we expect?
AL Nasr SC score 0.9 and concede 2.9 goals per match over their last 7; Petrojet score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AL Nasr SC | 0.9 | 2.9 | 0 | 4/7 | 6/7 |
| Petrojet | 1.3 | 1.9 | 1 | 11/15 | 8/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Petrojet | 7 | 2 | 2 | 3 | 10 | 12 | 8 |
A question about AL Nasr SC vs Petrojet?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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