Digenis Morphou vs Karmiotissa: result 3-1 and analysis
2. DivisionRegular Season - 1Kick-off on September 13, 2025 at 04:00 PM (UTC)Makareio Stadio, Lefkosía
Full time
What was the result of Digenis Morphou vs Karmiotissa?
Digenis Morphou won 3-1 on September 13, 2025.
Goalscorers
- 60′Luizinho GuedesDigenis Morphou
- 68′L. ZacharosDigenis Morphou
- 71′Luizinho GuedesDigenis Morphou
- 78′Marijan ŠutoKarmiotissa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Digenis Morphou have 5 wins, 3 draws and 7 defeats; Karmiotissa have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2025 | AE Zakakiou(home) | 5-1 | 2. Division |
| Apr 12, 2025 | ASIL Lysi(away) | 0-2 | 2. Division |
| Apr 6, 2025 | Olympiakos(home) | 2-3 | 2. Division |
| Apr 2, 2025 | Akritas(away) | 2-5 | 2. Division |
| Mar 29, 2025 | PAEEK(away) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2025 | AEL(away) | 0-1 | 1. Division |
| May 5, 2025 | Omonia Aradippou(home) | 1-0 | 1. Division |
| Apr 28, 2025 | Omonia 29is Maiou(home) | 2-0 | 1. Division |
| Apr 11, 2025 | Ethnikos Achna(away) | 1-2 | 1. Division |
| Apr 5, 2025 | Anorthosis(home) | 0-1 | 1. Division |
How many goals should we expect?
Digenis Morphou score 1.9 and concede 1.9 goals per match over their last 15; Karmiotissa score 0.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Digenis Morphou | 1.9 | 1.9 | 1 | 12/15 | 11/15 |
| Karmiotissa | 0.6 | 1.4 | 4 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Digenis Morphou | 3 | 1 | 1 | 1 | 3 | 2 | 4 |
A question about Digenis Morphou vs Karmiotissa?
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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