Kissamikos vs Kalamata: result 1-2 and analysis
Super League 2Group B - 8Kick-off on December 15, 2021 at 12:30 PM (UTC)Dimotiko Stadio Perivolion, Perivolia
Full time
What was the result of Kissamikos vs Kalamata?
Kalamata won 1-2 on December 15, 2021.
Goalscorers
- 34′G. LoukinasKalamata
- 58′A. VasilogiannisKissamikos
- 84′G. LoukinasKalamata
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kissamikos have 3 wins, 8 draws and 4 defeats; Kalamata have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 12, 2021 | AEK Athens II(away) | 0-1 | Super League 2 |
| Dec 5, 2021 | Kifisia(home) | 3-0 | Super League 2 |
| Nov 28, 2021 | Episkopi(away) | 1-1 | Super League 2 |
| Nov 24, 2021 | Rodos(home) | 2-2 | Super League 2 |
| Nov 20, 2021 | Levadiakos(away) | 1-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2021 | Diagoras(home) | 2-0 | Super League 2 |
| Nov 27, 2021 | Ergotelis(home) | 2-0 | Super League 2 |
| Nov 24, 2021 | AE Karaiskakis(away) | 1-0 | Super League 2 |
| Nov 20, 2021 | Panathinaikos II(home) | 1-2 | Super League 2 |
| Nov 7, 2021 | AEK Athens II(away) | 0-1 | Super League 2 |
How many goals should we expect?
Kissamikos score 1.0 and concede 1.1 goals per match over their last 15; Kalamata score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kissamikos | 1.0 | 1.1 | 4 | 8/15 | 4/15 |
| Kalamata | 1.2 | 0.7 | 8 | 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 |
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