Levadiakos vs Kalamata: prediction and stats
Super League 2Group B - 17Kick-off on February 16, 2022 at 01:00 PM (UTC)Stadio Levadias, Levadia
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Levadiakos have 10 wins, 2 draws and 3 defeats; Kalamata have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2022 | Diagoras(home) | 4-0 | Super League 2 |
| Feb 13, 2022 | Asteras Vlachioti(away) | 2-1 | Super League 2 |
| Feb 9, 2022 | Kifisia(home) | 1-1 | Super League 2 |
| Feb 5, 2022 | Ergotelis(away) | 0-1 | Super League 2 |
| Jan 30, 2022 | AE Karaiskakis(home) | 3-0 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2022 | AEK Athens II(home) | 0-0 | Super League 2 |
| Feb 9, 2022 | Rodos(home) | 3-1 | Super League 2 |
| Feb 6, 2022 | Kifisia(home) | 0-1 | Super League 2 |
| Feb 2, 2022 | Egaleo(away) | 2-1 | Super League 2 |
| Jan 30, 2022 | Episkopi(away) | 0-0 | Super League 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 Levadiakos win(s), 0 draw(s), 0 Kalamata win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2022 | Levadiakos 3-0 Kalamata | Super League 2 |
| Oct 6, 2021 | Levadiakos 2-0 Kalamata | Cup |
Last archived meeting: Levadiakos vs Kalamata on Jan 16, 2022
How many goals should we expect?
Levadiakos score 1.9 and concede 0.7 goals per match over their last 15; Kalamata score 1.5 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Levadiakos | 1.9 | 0.7 | 8 | 5/15 | 8/15 |
| Kalamata | 1.5 | 0.6 | 9 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Kalamata | 18 | 16 | 2 | 0 | 44 | 10 | 50 |
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