Ayia Napa vs Onisilos: result 1-1 and analysis
2. DivisionRegular Season - 9Kick-off on November 23, 2018 at 05:00 PM (UTC)Dimotiko Stadio Ayia Napa, Agia Napa
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What was the result of Ayia Napa vs Onisilos?
Ayia Napa and Onisilos drew 1-1 on November 23, 2018.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Ayia Napa have 3 wins, 1 draw and 4 defeats; Onisilos have 3, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | Digenis Voroklinis(away) | 1-1 | 2. Division |
| Nov 3, 2018 | PAEEK(away) | 3-0 | 2. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2018 | PAEEK(home) | 2-1 | 2. Division |
| Nov 3, 2018 | Akritas(away) | 2-1 | 2. Division |
| Oct 27, 2018 | EN THOI Lakatamia(home) | 0-0 | 2. Division |
| Oct 20, 2018 | Karmiotissa(away) | 1-2 | 2. Division |
| Oct 6, 2018 | Olympiakos(home) | 1-2 | 2. Division |
How many goals should we expect?
Ayia Napa score 1.5 and concede 1.4 goals per match over their last 8; Onisilos score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ayia Napa | 1.5 | 1.4 | 2 | 5/8 | 6/8 |
| Onisilos | 1.4 | 1.6 | 1 | 7/8 | 6/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Ayia Napa | 3 | 0 | 1 | 2 | 3 | 6 | 1 |
A question about Ayia Napa vs Onisilos?
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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