Ayia Napa vs Omonia Psevda: result 1-2 and analysis
2. DivisionGroup A - 6Kick-off on November 9, 2019 at 12:30 PM (UTC)Dimotiko Stadio Ayia Napa, Agia Napa
Full time
What was the result of Ayia Napa vs Omonia Psevda?
Omonia Psevda won 1-2 on November 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ayia Napa have 6 wins, 4 draws and 5 defeats; Omonia Psevda have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2019 | ASIL Lysi(away) | 2-1 | 2. Division |
| Nov 2, 2019 | Karmiotissa(away) | 0-2 | 2. Division |
| Oct 25, 2019 | Alki Oroklini(home) | 1-0 | 2. Division |
| Oct 5, 2019 | Krasava Ypsonas(home) | 2-2 | 2. Division |
| Sep 21, 2019 | Omonia Aradippou(away) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Alki Oroklini(away) | 0-9 | 2. Division |
| Oct 26, 2019 | Krasava Ypsonas(home) | 0-2 | 2. Division |
| Oct 19, 2019 | Aris(away) | 0-6 | 2. Division |
| Oct 5, 2019 | Karmiotissa(home) | 3-2 | 2. Division |
| Sep 21, 2019 | ASIL Lysi(away) | 1-2 | 2. Division |
How many goals should we expect?
Ayia Napa score 1.9 and concede 1.6 goals per match over their last 15; Omonia Psevda score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ayia Napa | 1.9 | 1.6 | 2 | 11/15 | 10/15 |
| Omonia Psevda | 1.3 | 2.3 | 1 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Ayia Napa | 4 | 0 | 1 | 3 | 3 | 9 | 1 |
A question about Ayia Napa vs Omonia Psevda?
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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