Apollon Paralimniou vs Iraklis Zygou: result 1-0 and analysis
Gamma Ethniki - Group 1Group 1 - 7Kick-off on November 3, 2019 at 01:00 PM (UTC)Dimotiko Gipedo Paralímniou, Paralimni
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What was the result of Apollon Paralimniou vs Iraklis Zygou?
Apollon Paralimniou won 1-0 on November 3, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Apollon Paralimniou have 3 wins, 4 draws and 3 defeats; Iraklis Zygou have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Kilkisiakos(away) | 0-0 | Gamma Ethniki - Group 1 |
| Oct 13, 2019 | Panserraikos(away) | 1-1 | Gamma Ethniki - Group 1 |
| Oct 6, 2019 | Nestos Chrisoupolis(away) | 0-2 | Gamma Ethniki - Group 1 |
| Sep 29, 2019 | Doxa Theologos(home) | 4-0 | Gamma Ethniki - Group 1 |
| Sep 22, 2019 | Doxa Kato Kamila(away) | 1-0 | Gamma Ethniki - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Orfeas Xanthi(home) | 0-0 | Gamma Ethniki - Group 1 |
| Oct 20, 2019 | Pandramaikos(away) | 0-2 | Gamma Ethniki - Group 1 |
| Oct 13, 2019 | Aetos Orfani(home) | 1-2 | Gamma Ethniki - Group 1 |
| Oct 6, 2019 | Kilkisiakos(home) | 2-0 | Gamma Ethniki - Group 1 |
| Sep 22, 2019 | Panserraikos(home) | 1-2 | Gamma Ethniki - Group 1 |
How many goals should we expect?
Apollon Paralimniou score 1.1 and concede 1.3 goals per match over their last 10; Iraklis Zygou score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Apollon Paralimniou | 1.1 | 1.3 | 5 | 2/10 | 4/10 |
| Iraklis Zygou | 0.8 | 1.2 | 2 | 2/5 | 2/5 |
Over the last 10 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