Tersana vs Kahraba Ismailia: result 1-0 and analysis
Second League - Group BGroup B - 7Kick-off on November 25, 2022 at 12:30 PM (UTC)Mit Okba Stadium, Giza
Full time
What was the result of Tersana vs Kahraba Ismailia?
Tersana won 1-0 on November 25, 2022.
Goalscorers
- 45′?Tersana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tersana have 5 wins, 7 draws and 3 defeats; Kahraba Ismailia have 0, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2022 | El Sharqia Dokhan(away) | 0-0 | Second League - Group B |
| Nov 14, 2022 | El Obour Sporting(home) | 4-0 | Second League - Group B |
| Nov 2, 2022 | Al Mostaqbal(away) | 2-1 | Second League - Group B |
| Oct 28, 2022 | Masr(home) | 1-1 | Second League - Group B |
| Oct 21, 2022 | Porto Suez(away) | 1-0 | Second League - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2022 | Media(home) | 1-1 | Second League - Group B |
| Nov 14, 2022 | AL Nasr SC(away) | 1-1 | Second League - Group B |
| Nov 2, 2022 | El Seka El Hadid(home) | 1-1 | Second League - Group B |
| Oct 28, 2022 | Wadi Degla(away) | 1-2 | Second League - Group B |
| Oct 21, 2022 | Suez(home) | 0-0 | Second League - Group B |
How many goals should we expect?
Tersana score 1.4 and concede 0.9 goals per match over their last 15; Kahraba Ismailia score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tersana | 1.4 | 0.9 | 5 | 9/15 | 6/15 |
| Kahraba Ismailia | 0.8 | 1.5 | 1 | 5/6 | 2/6 |
Over the last 15 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 Tersana vs Kahraba Ismailia?
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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