PAEEK vs Krasava Ypsonas: result 5-0 and analysis
2. DivisionRegular Season - 14Kick-off on December 23, 2020 at 12:30 PM (UTC)Gipedo PAEEK Keryneia Epistrofi, Strovolos
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What was the result of PAEEK vs Krasava Ypsonas?
PAEEK won 5-0 on December 23, 2020.
Goalscorers
- 22′Michalis FrangosPAEEK
- 35′Michalis FrangosPAEEK
- 45′Michalis FrangosPAEEK
- 55′Michalis FrangosPAEEK
- 65′Michalis FrangosPAEEK
What is the recent form of both teams?
Over their last 15 matches in all competitions, PAEEK have 8 wins, 2 draws and 5 defeats; Krasava Ypsonas have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2020 | Anagennisi Deryneia(away) | 3-1 | 2. Division |
| Dec 12, 2020 | Onisilos(home) | 1-1 | 2. Division |
| Nov 7, 2020 | Akritas(away) | 0-1 | 2. Division |
| Nov 4, 2020 | Ayia Napa(home) | 3-2 | 2. Division |
| Oct 31, 2020 | Omonia Psevda(home) | 1-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2020 | ASIL Lysi(home) | 0-1 | 2. Division |
| Dec 12, 2020 | Digenis Morphou(away) | 1-2 | 2. Division |
| Nov 7, 2020 | AE Zakakiou(home) | 0-0 | 2. Division |
| Nov 4, 2020 | Kouris Erimi(away) | 1-1 | 2. Division |
| Oct 31, 2020 | Omonia Aradippou(home) | 0-4 | 2. Division |
How many goals should we expect?
PAEEK score 1.3 and concede 1.1 goals per match over their last 15; Krasava Ypsonas score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PAEEK | 1.3 | 1.1 | 5 | 6/15 | 8/15 |
| Krasava Ypsonas | 0.7 | 1.9 | 4 | 5/15 | 8/15 |
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 Krasava Ypsonas?
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