Ahironas / Onisilos vs APEA: result 0-2 and analysis
CupRound of 32Kick-off on October 29, 2025 at 11:30 AM (UTC)Dimotiko Stadio Sotiras, Sotira
Full time
What was the result of Ahironas / Onisilos vs APEA?
APEA won 0-2 on October 29, 2025.
Goalscorers
- 42′Jean - Jacques NgitaAPEA
- 45′C. SergiouAPEA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ahironas / Onisilos have 0 wins, 2 draws and 13 defeats; APEA have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2025 | APEA(home) | 0-1 | 2. Division |
| Oct 5, 2025 | Nea Salamis(away) | 0-3 | 2. Division |
| Sep 27, 2025 | Ethnikos Latsion(home) | 0-1 | 2. Division |
| Sep 20, 2025 | Karmiotissa(away) | 0-3 | 2. Division |
| Sep 13, 2025 | Spartakos Kitiou(home) | 0-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2025 | MEAP Nisou(home) | 1-2 | 2. Division |
| Oct 18, 2025 | Ahironas / Onisilos(away) | 1-0 | 2. Division |
| Oct 5, 2025 | Digenis Morphou(home) | 0-4 | 2. Division |
| Sep 28, 2025 | Iraklis Yerolakkou(away) | 2-1 | 2. Division |
| Sep 19, 2025 | Doxa(home) | 1-2 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Ahironas / Onisilos wins, 0 draws, 1 APEA win.
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2025 | Ahironas / Onisilos 0-1 APEA | 2. Division |
Last archived meeting: Ahironas / Onisilos vs APEA on Oct 18, 2025
How many goals should we expect?
Ahironas / Onisilos score 0.5 and concede 2.3 goals per match over their last 15; APEA score 1.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ahironas / Onisilos | 0.5 | 2.3 | 0 | 6/15 | 10/15 |
| APEA | 1.7 | 1.6 | 5 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Ahironas / Onisilos vs APEA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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