Diagoras vs Episkopi: prediction and stats
Super League 2Group B - 12Kick-off on January 16, 2022 at 01:00 PM (UTC)Stadio Diagora, Rodos
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diagoras have 4 wins, 4 draws and 7 defeats; Episkopi 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 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 |
| Dec 15, 2021 | Panathinaikos II(home) | 1-2 | Super League 2 |
| Dec 11, 2021 | Kalamata(away) | 0-2 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 16, 2022 | Kifisia(home) | 1-0 | Super League 2 |
| Jan 5, 2022 | Levadiakos(home) | 0-0 | Super League 2 |
| Dec 19, 2021 | Egaleo(home) | 1-1 | Super League 2 |
| Dec 11, 2021 | OF Ierapetra(home) | 0-1 | Super League 2 |
| Dec 5, 2021 | Zakynthos(away) | 3-0 | Super League 2 |
What does the head-to-head say?
In the last meeting: 1 Diagoras win, 0 draws, 0 Episkopi wins.
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2021 | Diagoras 1-0 Episkopi | Super League 2 |
How many goals should we expect?
Diagoras score 0.9 and concede 1.4 goals per match over their last 15; Episkopi score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diagoras | 0.9 | 1.4 | 5 | 6/15 | 6/15 |
| Episkopi | 0.9 | 0.8 | 5 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Diagoras vs Episkopi?
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