Xylotympou vs PAEEK: result 0-1 and analysis
2. DivisionRegular Season - 33Kick-off on May 8, 2021 at 02:00 PM (UTC)Stadio Dasaki Achnas, Dasaki Achnas
Full time
What was the result of Xylotympou vs PAEEK?
PAEEK won 0-1 on May 8, 2021.
Goalscorers
- 30′C. KapartisPAEEK (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Xylotympou have 8 wins, 4 draws and 3 defeats; PAEEK have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2021 | ASIL Lysi(away) | 0-0 | 2. Division |
| Apr 24, 2021 | Digenis Morphou(home) | 3-2 | 2. Division |
| Apr 21, 2021 | Alki Oroklini(home) | 0-0 | 2. Division |
| Apr 17, 2021 | AE Zakakiou(away) | 2-0 | 2. Division |
| Apr 14, 2021 | Kouris Erimi(home) | 4-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2021 | Aris(home) | 0-0 | 2. Division |
| Apr 24, 2021 | Krasava Ypsonas(away) | 6-0 | 2. Division |
| Apr 17, 2021 | Anagennisi Deryneia(home) | 3-1 | 2. Division |
| Apr 14, 2021 | Onisilos(away) | 3-1 | 2. Division |
| Apr 10, 2021 | Akritas(home) | 4-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Xylotympou wins, 0 draws, 1 PAEEK win.
| Date | Score | Competition |
|---|---|---|
| Jan 6, 2021 | PAEEK 3-0 Xylotympou | 2. Division |
How many goals should we expect?
Xylotympou score 1.7 and concede 1.0 goals per match over their last 15; PAEEK score 2.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Xylotympou | 1.7 | 1.0 | 6 | 7/15 | 9/15 |
| PAEEK | 2.6 | 0.9 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | PAEEK | 3 | 2 | 0 | 1 | 6 | 6 | 6 |
A question about Xylotympou vs PAEEK?
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