AE Karaiskakis vs Diagoras: prediction and stats
Super League 2Group B - 13Kick-off on January 23, 2022 at 01:00 PM (UTC)Dimotiko Stadio Agion Anargyron, Arta
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, AE Karaiskakis have 4 wins, 4 draws and 7 defeats; Diagoras have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2022 | Irodotos(home) | 2-1 | Super League 2 |
| Jan 16, 2022 | Egaleo(away) | 0-1 | Super League 2 |
| Dec 29, 2021 | Kissamikos(away) | 0-4 | Super League 2 |
| Dec 19, 2021 | Diagoras(home) | 0-0 | Super League 2 |
| Dec 15, 2021 | Asteras Vlachioti(away) | 1-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 23, 2022 | OF Ierapetra(home) | 0-0 | Super League 2 |
| Jan 20, 2022 | Ergotelis(home) | 0-2 | Super League 2 |
| Jan 16, 2022 | Zakynthos(away) | 2-0 | Super League 2 |
| Jan 12, 2022 | Kissamikos(home) | 2-2 | Super League 2 |
| Dec 19, 2021 | AE Karaiskakis(away) | 0-0 | Super League 2 |
What does the head-to-head say?
Across the last 3 meetings: 1 AE Karaiskakis win, 1 draw, 1 Diagoras win.
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2021 | AE Karaiskakis 0-0 Diagoras | Super League 2 |
| Apr 21, 2021 | AE Karaiskakis 2-1 Diagoras | Super League 2 |
| Feb 27, 2021 | Diagoras 1-0 AE Karaiskakis | Super League 2 |
Last archived meeting: AE Karaiskakis vs Diagoras on Dec 19, 2021
How many goals should we expect?
AE Karaiskakis score 1.1 and concede 1.7 goals per match over their last 15; Diagoras score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AE Karaiskakis | 1.1 | 1.7 | 2 | 7/15 | 8/15 |
| Diagoras | 0.7 | 1.1 | 6 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about AE Karaiskakis vs Diagoras?
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