Kissamikos vs Kalamata: prediction and stats
Super League 2Group B - 1Kick-off on October 31, 2021 at 01:00 PM (UTC)Dimotiko Stadio Perivolion, Perivolia
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kissamikos have 7 wins, 4 draws and 4 defeats; Kalamata have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2021 | Egaleo(away) | 1-2 | Cup |
| Sep 11, 2021 | Ergotelis(away) | 1-1 | Friendlies Clubs |
| May 19, 2021 | Diagoras(home) | 2-0 | Super League 2 |
| May 16, 2021 | Levadiakos(away) | 0-3 | Super League 2 |
| May 9, 2021 | Ergotelis(away) | 0-2 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2021 | Levadiakos(away) | 0-2 | Cup |
| Sep 26, 2021 | OF Ierapetra(away) | 1-1 | Cup |
| Jun 26, 2021 | Ialysos(home) | 4-0 | Football League |
| Jun 19, 2021 | Egaleo(away) | 0-2 | Football League |
| Jun 13, 2021 | Kallithea(home) | 1-0 | Football League |
How many goals should we expect?
Kissamikos score 1.1 and concede 0.9 goals per match over their last 15; Kalamata score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kissamikos | 1.1 | 0.9 | 7 | 6/15 | 4/15 |
| Kalamata | 1.1 | 0.7 | 9 | 3/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kissamikos sit 9th in Super League 2 (12 points from 18 matches) and Kalamata sit 1st (50 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Kalamata | 18 | 16 | 2 | 0 | 44 | 10 | 50 |
| 9 | Kissamikos | 18 | 3 | 3 | 12 | 11 | 28 | 12 |
A question about Kissamikos vs Kalamata?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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