Kallithea vs Levadiakos: prediction and stats
Super League 2Group B - 9Kick-off on December 29, 2021 at 01:00 PM (UTC)Stadio Kallitheas Grigóris Lamprákis, Athína (Athens)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kallithea have 7 wins, 3 draws and 5 defeats; Levadiakos have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 28, 2021 | Irodotos(away) | 2-0 | Super League 2 |
| Nov 24, 2021 | Egaleo(home) | 1-0 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2021 | Olympiakos Piraeus(away) | 0-2 | Cup |
| Dec 15, 2021 | Irodotos(away) | 1-0 | Super League 2 |
| Dec 11, 2021 | Egaleo(home) | 1-0 | Super League 2 |
| Dec 5, 2021 | Kallithea(away) | 1-0 | Super League 2 |
| Dec 1, 2021 | Olympiakos Piraeus(home) | 3-2 | Cup |
What does the head-to-head say?
In the last meeting: 0 Kallithea wins, 0 draws, 1 Levadiakos win.
| Date | Score | Competition |
|---|---|---|
| Dec 5, 2021 | Kallithea 0-1 Levadiakos | Super League 2 |
Last archived meeting: Kallithea vs Levadiakos on Dec 5, 2021
How many goals should we expect?
Kallithea score 0.9 and concede 0.7 goals per match over their last 15; Levadiakos score 1.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kallithea | 0.9 | 0.7 | 7 | 4/15 | 4/15 |
| Levadiakos | 1.8 | 0.6 | 8 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Kallithea | 6 | 5 | 0 | 1 | 9 | 4 | 15 |
A question about Kallithea vs Levadiakos?
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