PAEEK vs Karmiotissa: result 3-1 and analysis
2. DivisionRegular Season - 18Kick-off on February 2, 2019 at 01:00 PM (UTC)Gipedo PAEEK Keryneia Epistrofi, Strovolos
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What was the result of PAEEK vs Karmiotissa?
PAEEK won 3-1 on February 2, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, PAEEK have 1 win, 2 draws and 12 defeats; Karmiotissa 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 |
|---|---|---|---|
| Jan 26, 2019 | Olympiakos(away) | 0-5 | 2. Division |
| Jan 19, 2019 | ASIL Lysi(home) | 1-3 | 2. Division |
| Jan 12, 2019 | Othellos(home) | 0-1 | 2. Division |
| Jan 6, 2019 | Aris(away) | 1-2 | 2. Division |
| Dec 22, 2018 | Anagennisi Deryneia(home) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2019 | Akritas(home) | 2-1 | 2. Division |
| Jan 23, 2019 | Ethnikos Achna(home) | 2-1 | Cup |
| Jan 18, 2019 | EN THOI Lakatamia(away) | 1-2 | 2. Division |
| Jan 12, 2019 | Digenis Voroklinis(home) | 2-1 | 2. Division |
| Jan 4, 2019 | Olympiakos(away) | 1-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 PAEEK wins, 1 draw, 0 Karmiotissa wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2018 | Karmiotissa 2-2 PAEEK | 2. Division |
How many goals should we expect?
PAEEK score 0.7 and concede 2.3 goals per match over their last 15; Karmiotissa score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PAEEK | 0.7 | 2.3 | 0 | 7/15 | 10/15 |
| Karmiotissa | 1.5 | 1.5 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | PAEEK | 3 | 2 | 0 | 1 | 6 | 6 | 6 |
A question about PAEEK vs Karmiotissa?
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