Levadiakos vs Diagoras: prediction and stats
Super League 2Group B - 5Kick-off on November 28, 2021 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; Diagoras have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2021 | OF Ierapetra(home) | 3-1 | Super League 2 |
| Nov 24, 2021 | Zakynthos(away) | 3-0 | Super League 2 |
| Nov 20, 2021 | Kissamikos(home) | 1-1 | Super League 2 |
| Nov 14, 2021 | Diagoras(away) | 1-1 | Super League 2 |
| Nov 7, 2021 | Asteras Vlachioti(home) | 2-1 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 7, 2021 | Irodotos(away) | 2-1 | Super League 2 |
| Oct 6, 2021 | Larisa(home) | 1-2 | Cup |
What does the head-to-head say?
Across the last 4 meetings: 2 Levadiakos wins, 2 draws, 0 Diagoras wins.
| Date | Score | Competition |
|---|---|---|
| Nov 14, 2021 | Diagoras 1-1 Levadiakos | Super League 2 |
| May 9, 2021 | Levadiakos 4-0 Diagoras | Super League 2 |
| Mar 27, 2021 | Diagoras 0-4 Levadiakos | Super League 2 |
| Feb 6, 2021 | Levadiakos 0-0 Diagoras | Super League 2 |
Last archived meeting: Diagoras vs Levadiakos on Nov 14, 2021
How many goals should we expect?
Levadiakos score 2.2 and concede 0.7 goals per match over their last 15; Diagoras score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Levadiakos | 2.2 | 0.7 | 7 | 6/15 | 9/15 |
| Diagoras | 0.9 | 1.8 | 3 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Levadiakos vs Diagoras?
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