Itehad Nabaroh vs Baladiyyat Al Mehalla: result 1-2 and analysis
Second League - Group CGroup C - 12Kick-off on December 28, 2022 at 12:30 PM (UTC)
Full time
What was the result of Itehad Nabaroh vs Baladiyyat Al Mehalla?
Baladiyyat Al Mehalla won 1-2 on December 28, 2022.
Goalscorers
- 4′?Itehad Nabaroh
- 48′?Baladiyyat Al Mehalla (pen.)
- 63′?Baladiyyat Al Mehalla
What is the recent form of both teams?
Over their last 12 matches in all competitions, Itehad Nabaroh have 4 wins, 4 draws and 4 defeats; Baladiyyat Al Mehalla have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2022 | El Mansura(away) | 0-0 | Second League - Group C |
| Dec 14, 2022 | El Hamam(home) | 3-2 | Second League - Group C |
| Dec 7, 2022 | Abu Qair Semad(away) | 0-1 | Second League - Group C |
| Nov 30, 2022 | Pioneers(home) | 1-0 | Second League - Group C |
| Nov 23, 2022 | El Olympi(away) | 1-0 | Second League - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2022 | Gomhoreyat Shebin(home) | 0-1 | Second League - Group C |
| Dec 14, 2022 | Al Masry Salloum(away) | 4-0 | Second League - Group C |
| Dec 6, 2022 | Proxy(home) | 3-2 | Second League - Group C |
| Nov 30, 2022 | El Mansura(home) | 0-0 | Second League - Group C |
| Nov 23, 2022 | El Hamam(away) | 2-3 | Second League - Group C |
How many goals should we expect?
Itehad Nabaroh score 0.6 and concede 0.7 goals per match over their last 12; Baladiyyat Al Mehalla score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Itehad Nabaroh | 0.6 | 0.7 | 7 | 2/12 | 2/12 |
| Baladiyyat Al Mehalla | 1.7 | 0.7 | 8 | 5/15 | 7/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Baladiyyat Al Mehalla | 30 | 16 | 10 | 4 | 46 | 16 | 58 |
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