Apollon Paralimniou vs Byron Kavala: result 1-2 and analysis
Gamma Ethniki - Group 1Group 1 - 7Kick-off on December 18, 2022 at 01:00 PM (UTC)Dimotiko Gipedo Paralímniou, Paralimni
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What was the result of Apollon Paralimniou vs Byron Kavala?
Byron Kavala won 1-2 on December 18, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Apollon Paralimniou have 9 wins, 4 draws and 2 defeats; Byron Kavala have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2022 | Agios Nikolaos(home) | 2-2 | Cup |
| Dec 4, 2022 | Antheias-Aristinou(away) | 3-0 | Gamma Ethniki - Group 1 |
| Nov 30, 2022 | Doxa Dramas(home) | 3-0 | Gamma Ethniki - Group 1 |
| Nov 26, 2022 | Agrotikos Asteras(away) | 0-2 | Gamma Ethniki - Group 1 |
| Nov 20, 2022 | Aris Avato(home) | 3-1 | Gamma Ethniki - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2022 | Antheias-Aristinou(home) | 3-0 | Gamma Ethniki - Group 1 |
| Dec 4, 2022 | Agrotikos Asteras(away) | 1-1 | Gamma Ethniki - Group 1 |
| Nov 30, 2022 | Kampaniakos Chalastra(home) | 0-1 | Gamma Ethniki - Group 1 |
| Nov 26, 2022 | Thermaikos Thermis(away) | 1-1 | Gamma Ethniki - Group 1 |
| Nov 20, 2022 | Panthrakikos(home) | 1-3 | Gamma Ethniki - Group 1 |
How many goals should we expect?
Apollon Paralimniou score 2.3 and concede 0.9 goals per match over their last 15; Byron Kavala score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Apollon Paralimniou | 2.3 | 0.9 | 7 | 7/15 | 11/15 |
| Byron Kavala | 1.3 | 1.4 | 3 | 4/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Apollon Paralimniou | 34 | 11 | 9 | 14 | 30 | 37 | 42 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy