Kalamata vs Levadiakos: prediction and stats
Super League 2Group B - 2Kick-off on November 7, 2021 at 01:00 PM (UTC)Gipedo Messiniakos, Kalamata
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalamata have 7 wins, 4 draws and 4 defeats; Levadiakos have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2021 | Asteras Tripolis(home) | 1-0 | Cup |
| Oct 6, 2021 | Kalamata(home) | 2-0 | Cup |
| Sep 26, 2021 | Poseidon Nea Michaniona(away) | 5-0 | Cup |
| May 19, 2021 | Xanthi FC(away) | 0-1 | Super League 2 |
| May 16, 2021 | Kissamikos(home) | 3-0 | Super League 2 |
What does the head-to-head say?
In the last meeting: 0 Kalamata wins, 0 draws, 1 Levadiakos win.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2021 | Levadiakos 2-0 Kalamata | Cup |
Last archived meeting: Levadiakos vs Kalamata on Oct 6, 2021
How many goals should we expect?
Kalamata score 1.1 and concede 0.7 goals per match over their last 15; Levadiakos score 2.2 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalamata | 1.1 | 0.7 | 9 | 3/15 | 3/15 |
| Levadiakos | 2.2 | 0.5 | 9 | 4/15 | 9/15 |
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 |
A question about Kalamata vs Levadiakos?
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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