OF Ierapetra vs Kallithea: prediction and stats
Super League 2Group B - 11Kick-off on January 9, 2022 at 01:00 PM (UTC)Stadio Neapoli, Neapoli
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, OF Ierapetra have 4 wins, 5 draws and 6 defeats; Kallithea have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2021 | Kalamata(home) | 0-2 | Super League 2 |
| Dec 19, 2021 | AEK Athens II(away) | 2-2 | Super League 2 |
| Dec 15, 2021 | Kifisia(home) | 2-1 | Super League 2 |
| Dec 11, 2021 | Episkopi(away) | 1-0 | Super League 2 |
| Dec 5, 2021 | Rodos(home) | 1-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 8, 2022 | Panathinaikos II(home) | 1-0 | Super League 2 |
| Dec 29, 2021 | AEK Athens II(home) | 1-0 | Super League 2 |
| Dec 22, 2021 | Zakynthos(home) | 2-0 | Super League 2 |
| Dec 19, 2021 | Kifisia(away) | 0-1 | Super League 2 |
| Dec 5, 2021 | Levadiakos(home) | 0-1 | Super League 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 OF Ierapetra win(s), 0 draw(s), 1 Kallithea win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 13, 2021 | OF Ierapetra 1-2 Kallithea | Super League 2 |
Last archived meeting: OF Ierapetra vs Kallithea on Nov 13, 2021
How many goals should we expect?
OF Ierapetra score 1.2 and concede 1.3 goals per match over their last 15; Kallithea score 0.8 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| OF Ierapetra | 1.2 | 1.3 | 4 | 8/15 | 7/15 |
| Kallithea | 0.8 | 0.4 | 9 | 2/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Kallithea | 18 | 7 | 5 | 6 | 21 | 17 | 26 |
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