Kalamata vs Rodos: result 1-0 and analysis
Football LeagueNorth - 13Kick-off on May 22, 2021 at 11:45 AM (UTC)Gipedo Messiniakos, Kalamata
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What was the result of Kalamata vs Rodos?
Kalamata won 1-0 on May 22, 2021.
Goalscorers
- 24′?Kalamata
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalamata have 6 wins, 5 draws and 4 defeats; Rodos have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Episkopi(away) | 0-1 | Football League |
| May 12, 2021 | Aspropyrgos Enosis(home) | 2-0 | Football League |
| May 9, 2021 | Santorini 2020(home) | 1-0 | Football League |
| May 5, 2021 | Ialysos(away) | 0-0 | Football League |
| Apr 29, 2021 | Egaleo(home) | 2-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2021 | Asteras Vlachioti(home) | 2-1 | Football League |
| May 12, 2021 | Niki Volos(away) | 2-1 | Football League |
| May 9, 2021 | Episkopi(away) | 0-0 | Football League |
| Apr 28, 2021 | Santorini 2020(away) | 0-1 | Football League |
| Apr 24, 2021 | Ialysos(away) | 2-0 | Football League |
What does the head-to-head say?
In the last meeting: 0 Kalamata wins, 1 draw, 0 Rodos wins.
| Date | Score | Competition |
|---|---|---|
| Apr 10, 2021 | Rodos 0-0 Kalamata | Football League |
How many goals should we expect?
Kalamata score 0.8 and concede 0.4 goals per match over their last 15; Rodos score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalamata | 0.8 | 0.4 | 10 | 2/15 | 1/15 |
| Rodos | 1.5 | 0.5 | 9 | 5/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Kalamata | 23 | 5 | 4 | 14 | 17 | 28 | 19 |
A question about Kalamata 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