Kavala vs Pontion Karagiannion: result 5-1 and analysis
Football LeagueNorth - 6Kick-off on April 18, 2021 at 12:00 PM (UTC)Dimotiko Stadio Anthi Karagianni, Kavala
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What was the result of Kavala vs Pontion Karagiannion?
Kavala won 5-1 on April 18, 2021.
Goalscorers
- 10′V. GavriilidisKavala
- 14′?Kavala
- 29′?Kavala
- 40′A. KokkorisKavala
- 57′?Pontion Karagiannion
- 84′?Kavala
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kavala have 8 wins, 4 draws and 3 defeats; Pontion Karagiannion have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2021 | Triglia(away) | 2-3 | Football League |
| Apr 10, 2021 | Pierikos(home) | 3-0 | Football League |
| Apr 4, 2021 | Apollon Pontou(away) | 1-0 | Football League |
| Mar 31, 2021 | Thesprotos(away) | 1-0 | Football League |
| Mar 28, 2021 | Panserraikos(home) | 2-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2021 | Thesprotos(away) | 1-3 | Football League |
| Apr 10, 2021 | Panserraikos(home) | 0-2 | Football League |
| Apr 4, 2021 | Almopos(away) | 1-1 | Football League |
| Mar 31, 2021 | Olympiakos Volos(home) | 1-3 | Football League |
| Mar 28, 2021 | Veria(away) | 0-3 | Football League |
How many goals should we expect?
Kavala score 1.1 and concede 0.5 goals per match over their last 15; Pontion Karagiannion score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kavala | 1.1 | 0.5 | 10 | 3/15 | 5/15 |
| Pontion Karagiannion | 1.5 | 1.5 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Kavala | 23 | 9 | 9 | 5 | 23 | 12 | 36 |
A question about Kavala vs Pontion Karagiannion?
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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