APEA vs MEAP Nisou: result 1-2 and analysis
2. DivisionRegular Season - 6Kick-off on October 24, 2025 at 12:00 PM (UTC)Koinotiko Gipedo Akrotriou, Limassol
Full time
What was the result of APEA vs MEAP Nisou?
MEAP Nisou won 1-2 on October 24, 2025.
Goalscorers
- 23′560582MEAP Nisou
- 41′607875APEA
- 86′582276MEAP Nisou
What is the recent form of both teams?
Over their last 15 matches in all competitions, APEA have 8 wins, 3 draws and 4 defeats; MEAP Nisou have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 13, 2025 | Ayia Napa(home) | 3-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2025 | Nea Salamis(home) | 1-4 | 2. Division |
| Oct 5, 2025 | Ethnikos Latsion(away) | 4-1 | 2. Division |
| Sep 28, 2025 | Karmiotissa(home) | 1-3 | 2. Division |
| Sep 21, 2025 | Spartakos Kitiou(away) | 1-1 | 2. Division |
| Sep 12, 2025 | PAEEK(home) | 0-2 | 2. Division |
How many goals should we expect?
APEA score 1.9 and concede 1.5 goals per match over their last 15; MEAP Nisou score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APEA | 1.9 | 1.5 | 6 | 8/15 | 10/15 |
| MEAP Nisou | 1.1 | 1.4 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
APEA sit 6th in 2. Division (8 points from 4 matches) and MEAP Nisou sit 16th (1 point from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | APEA | 4 | 2 | 2 | 0 | 5 | 3 | 8 |
| 16 | MEAP Nisou | 4 | 0 | 1 | 3 | 1 | 11 | 1 |
A question about APEA vs MEAP Nisou?
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