PAEEK vs Ayia Napa: result 0-3 and analysis
2. DivisionRegular Season - 7Kick-off on November 3, 2018 at 12:30 PM (UTC)Gipedo PAEEK Keryneia Epistrofi, Strovolos
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What was the result of PAEEK vs Ayia Napa?
Ayia Napa won 0-3 on November 3, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, PAEEK have 2 wins, 1 draw and 3 defeats; Ayia Napa have 2, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Digenis Voroklinis(away) | 1-2 | 2. Division |
| Oct 20, 2018 | Akritas(away) | 0-3 | 2. Division |
| Oct 6, 2018 | EN THOI Lakatamia(home) | 0-1 | 2. Division |
| Sep 29, 2018 | Karmiotissa(away) | 2-2 | 2. Division |
| Sep 22, 2018 | Olympiakos(home) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2018 | Akritas(home) | 3-0 | 2. Division |
| Oct 20, 2018 | EN THOI Lakatamia(away) | 2-1 | 2. Division |
| Oct 6, 2018 | Karmiotissa(home) | 1-3 | 2. Division |
| Sep 29, 2018 | Olympiakos(away) | 1-3 | 2. Division |
| Sep 21, 2018 | ASIL Lysi(home) | 1-2 | 2. Division |
How many goals should we expect?
PAEEK score 1.2 and concede 1.3 goals per match over their last 6; Ayia Napa score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PAEEK | 1.2 | 1.3 | 2 | 2/6 | 3/6 |
| Ayia Napa | 1.3 | 1.7 | 1 | 4/6 | 5/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
PAEEK sit 4th in 2. Division (9 points from 4 matches) and Ayia Napa sit 15th (1 point from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | PAEEK | 4 | 3 | 0 | 1 | 10 | 6 | 9 |
| 15 | Ayia Napa | 4 | 0 | 1 | 3 | 3 | 9 | 1 |
A question about PAEEK vs Ayia Napa?
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