Diagoras vs Kallithea: prediction and stats
Super League 2Group B - 6Kick-off on December 5, 2021 at 01:00 PM (UTC)Stadio Diagora, Rodos
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diagoras have 4 wins, 2 draws and 9 defeats; Kallithea 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 |
|---|---|---|---|
| Dec 4, 2021 | AEK Athens II(home) | 0-1 | Super League 2 |
| Nov 28, 2021 | Kifisia(away) | 0-0 | Super League 2 |
| Nov 24, 2021 | Episkopi(home) | 1-0 | Super League 2 |
| Nov 21, 2021 | Rodos(away) | 0-3 | Super League 2 |
| Nov 14, 2021 | Levadiakos(home) | 1-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | Irodotos(away) | 2-0 | Super League 2 |
| Nov 24, 2021 | Egaleo(home) | 1-0 | Super League 2 |
| Nov 13, 2021 | OF Ierapetra(away) | 2-1 | Super League 2 |
| Oct 26, 2021 | Anagennisi Karditsas(away) | 0-0 | Cup |
| Sep 26, 2021 | Episkopi(home) | 2-1 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 0 Diagoras wins, 0 draws, 2 Kallithea wins.
| Date | Score | Competition |
|---|---|---|
| Mar 11, 2012 | Diagoras 0-3 Kallithea | Football League |
| Oct 28, 2011 | Kallithea 1-0 Diagoras | Football League |
Last archived meeting: Diagoras vs Kallithea on Mar 11, 2012
How many goals should we expect?
Diagoras score 0.9 and concede 1.7 goals per match over their last 15; Kallithea score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diagoras | 0.9 | 1.7 | 4 | 6/15 | 7/15 |
| Kallithea | 1.1 | 0.5 | 9 | 4/15 | 4/15 |
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 Diagoras vs Kallithea?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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