Kavala vs Kalamata: result 2-1 and analysis
Football LeagueRegular Season - 8Kick-off on November 17, 2019 at 01:00 PM (UTC)Dimotiko Stadio Anthi Karagianni, Kavala
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What was the result of Kavala vs Kalamata?
Kavala won 2-1 on November 17, 2019.
Goalscorers
- 22′?Kalamata
- 80′?Kavala
- 88′Konstantinos MarkopoulosKavala
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kavala have 6 wins, 2 draws and 7 defeats; Kalamata have 4, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | OF Ierapetra(away) | 2-3 | Football League |
| Nov 3, 2019 | Thesprotos(home) | 4-1 | Football League |
| Oct 30, 2019 | OFI(home) | 2-0 | Cup |
| Oct 26, 2019 | Trikala(away) | 0-0 | Football League |
| Oct 20, 2019 | Veria(home) | 1-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Triglia(away) | 0-1 | Football League |
| Nov 3, 2019 | Olympiakos Volos(home) | 1-2 | Football League |
| Oct 30, 2019 | Larisa(home) | 3-0 | Cup |
| Oct 27, 2019 | Diagoras(away) | 0-2 | Football League |
| Oct 19, 2019 | Ionikos(home) | 1-0 | Football League |
How many goals should we expect?
Kavala score 1.2 and concede 1.5 goals per match over their last 15; Kalamata score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kavala | 1.2 | 1.5 | 6 | 5/15 | 7/15 |
| Kalamata | 1.2 | 0.9 | 6 | 4/13 | 4/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kavala sit 6th in Football League (36 points from 23 matches) and Kalamata sit 14th (19 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Kavala | 23 | 9 | 9 | 5 | 23 | 12 | 36 |
| 14 | Kalamata | 23 | 5 | 4 | 14 | 17 | 28 | 19 |
A question about Kavala 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