Rodos vs Kalamata: prediction and stats
Super League 2Group B - 11Kick-off on January 9, 2022 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, Rodos have 6 wins, 5 draws and 4 defeats; Kalamata have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2021 | Levadiakos(away) | 0-5 | Super League 2 |
| Dec 19, 2021 | Irodotos(home) | 1-0 | Super League 2 |
| Dec 15, 2021 | Egaleo(away) | 1-3 | Super League 2 |
| Dec 5, 2021 | OF Ierapetra(away) | 1-1 | Super League 2 |
| Nov 28, 2021 | Zakynthos(home) | 4-0 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2021 | OF Ierapetra(away) | 2-0 | Super League 2 |
| Dec 19, 2021 | Zakynthos(home) | 5-0 | Super League 2 |
| Dec 15, 2021 | Kissamikos(away) | 2-1 | Super League 2 |
| Dec 11, 2021 | Diagoras(home) | 2-0 | Super League 2 |
| Nov 27, 2021 | Ergotelis(home) | 2-0 | Super League 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 Rodos wins, 1 draw, 1 Kalamata win.
| Date | Score | Competition |
|---|---|---|
| May 22, 2021 | Kalamata 1-0 Rodos | Football League |
| Apr 10, 2021 | Rodos 0-0 Kalamata | Football League |
How many goals should we expect?
Rodos score 1.4 and concede 1.3 goals per match over their last 15; Kalamata score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rodos | 1.4 | 1.3 | 7 | 7/15 | 8/15 |
| Kalamata | 1.6 | 0.7 | 8 | 4/15 | 5/15 |
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 Rodos vs Kalamata?
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