Egaleo vs AE Karaiskakis: prediction and stats
Super League 2Group B - 26Kick-off on April 3, 2022 at 12:00 PM (UTC)Stadio Stavros Mavrothalassitis, Athens
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Egaleo have 5 wins, 5 draws and 5 defeats; AE Karaiskakis 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 |
|---|---|---|---|
| Apr 2, 2022 | AEK Athens II(home) | 1-1 | Super League 2 |
| Mar 30, 2022 | Kifisia(away) | 0-1 | Super League 2 |
| Mar 26, 2022 | Episkopi(home) | 1-1 | Super League 2 |
| Mar 20, 2022 | Rodos(away) | 1-0 | Super League 2 |
| Mar 9, 2022 | Irodotos(away) | 0-3 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2022 | Kissamikos(home) | 1-2 | Super League 2 |
| Mar 26, 2022 | Diagoras(away) | 1-0 | Super League 2 |
| Mar 20, 2022 | Asteras Vlachioti(home) | 0-1 | Super League 2 |
| Mar 13, 2022 | Ergotelis(away) | 0-0 | Super League 2 |
| Mar 5, 2022 | Panathinaikos II(home) | 1-1 | Super League 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Egaleo win(s), 0 draw(s), 0 AE Karaiskakis win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2022 | Egaleo 1-0 AE Karaiskakis | Super League 2 |
Last archived meeting: Egaleo vs AE Karaiskakis on Jan 16, 2022
How many goals should we expect?
Egaleo score 0.7 and concede 0.9 goals per match over their last 15; AE Karaiskakis score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Egaleo | 0.7 | 0.9 | 5 | 6/15 | 3/15 |
| AE Karaiskakis | 0.6 | 1.3 | 5 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Egaleo | 18 | 4 | 5 | 9 | 14 | 22 | 17 |
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