Karmiotissa vs Halkanoras: result 2-0 and analysis
2. DivisionRegular Season - 4Kick-off on October 4, 2025 at 01:00 PM (UTC)Dimotiko Stadio Pano Polemidias, Pano Polemidia
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What was the result of Karmiotissa vs Halkanoras?
Karmiotissa won 2-0 on October 4, 2025.
Goalscorers
- 42′Marijan ŠutoKarmiotissa
- 47′G. BastianosKarmiotissa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Karmiotissa have 6 wins, 2 draws and 7 defeats; Halkanoras have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | MEAP Nisou(away) | 3-1 | 2. Division |
| Sep 20, 2025 | Ahironas / Onisilos(home) | 3-0 | 2. Division |
| Sep 13, 2025 | Digenis Morphou(away) | 1-3 | 2. Division |
| May 11, 2025 | AEL(away) | 0-1 | 1. Division |
| May 5, 2025 | Omonia Aradippou(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2025 | Spartakos Kitiou(home) | 2-3 | 2. Division |
| Sep 20, 2025 | PAEEK(away) | 0-4 | 2. Division |
| Sep 14, 2025 | Omonia 29is Maiou(home) | 2-1 | 2. Division |
| Apr 26, 2025 | Peyia(away) | 7-0 | 2. Division |
| Apr 12, 2025 | MEAP Nisou(home) | 2-0 | 2. Division |
How many goals should we expect?
Karmiotissa score 1.1 and concede 1.1 goals per match over their last 15; Halkanoras score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Karmiotissa | 1.1 | 1.1 | 5 | 6/15 | 8/15 |
| Halkanoras | 1.9 | 1.5 | 2 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Halkanoras | 3 | 0 | 1 | 2 | 3 | 6 | 1 |
A question about Karmiotissa vs Halkanoras?
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