Bur Fouad vs Tersana: result 1-2 and analysis
Second League - Group BGroup B - 6Kick-off on November 5, 2021 at 12:30 PM (UTC)
Full time
What was the result of Bur Fouad vs Tersana?
Tersana won 1-2 on November 5, 2021.
Goalscorers
- 82′?Bur Fouad
- 88′?Tersana
- 90′?Tersana
What is the recent form of both teams?
Over their last 5 matches in all competitions, Bur Fouad have 0 wins, 1 draw and 4 defeats; Tersana have 2, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2021 | Olympic El Qanah(away) | 0-1 | Second League - Group B |
| Oct 22, 2021 | Suez(home) | 0-1 | Second League - Group B |
| Oct 15, 2021 | Wadi Degla(away) | 0-4 | Second League - Group B |
| Oct 8, 2021 | Petrojet(away) | 0-2 | Second League - Group B |
| Oct 1, 2021 | El Seka El Hadid(home) | 1-1 | Second League - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2021 | El Seka El Hadid(away) | 2-0 | Second League - Group B |
| Oct 22, 2021 | Banha(away) | 1-1 | Second League - Group B |
| Oct 15, 2021 | Masr(home) | 0-1 | Second League - Group B |
| Oct 8, 2021 | AL Nasr SC(away) | 1-0 | Second League - Group B |
| Oct 1, 2021 | Porto Suez(home) | 1-2 | Second League - Group B |
How many goals should we expect?
Bur Fouad score 0.2 and concede 1.8 goals per match over their last 5; Tersana score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bur Fouad | 0.2 | 1.8 | 0 | 1/5 | 1/5 |
| Tersana | 0.9 | 0.9 | 3 | 3/7 | 2/7 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Tersana | 30 | 12 | 12 | 6 | 31 | 21 | 48 |
A question about Bur Fouad vs Tersana?
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