Kissamikos vs Rodos: prediction and stats
Super League 2Group B - 6Kick-off on December 5, 2021 at 01:00 PM (UTC)Dimotiko Stadio Perivolion, Perivolia
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kissamikos have 4 wins, 8 draws and 3 defeats; Rodos have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2021 | Kifisia(home) | 3-0 | Super League 2 |
| Nov 28, 2021 | Episkopi(away) | 1-1 | Super League 2 |
| Nov 24, 2021 | Rodos(home) | 2-2 | Super League 2 |
| Nov 20, 2021 | Levadiakos(away) | 1-1 | Super League 2 |
| Nov 14, 2021 | Irodotos(home) | 0-0 | Super League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2021 | OF Ierapetra(away) | 1-1 | Super League 2 |
| Nov 28, 2021 | Zakynthos(home) | 4-0 | Super League 2 |
| Nov 24, 2021 | Kissamikos(away) | 2-2 | Super League 2 |
| Nov 21, 2021 | Diagoras(home) | 3-0 | Super League 2 |
| Nov 14, 2021 | Asteras Vlachioti(away) | 0-0 | Super League 2 |
What does the head-to-head say?
In the last meeting: 0 Kissamikos wins, 1 draw, 0 Rodos wins.
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2021 | Kissamikos 2-2 Rodos | Super League 2 |
How many goals should we expect?
Kissamikos score 1.1 and concede 1.1 goals per match over their last 15; Rodos score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kissamikos | 1.1 | 1.1 | 4 | 9/15 | 5/15 |
| Rodos | 1.6 | 1.0 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Kissamikos | 18 | 3 | 3 | 12 | 11 | 28 | 12 |
A question about Kissamikos vs Rodos?
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