Omonia Psevda vs Xylotympou: result 1-2 and analysis
2. DivisionRelegation Round - 3Kick-off on February 15, 2020 at 01:00 PM (UTC)Psevdas Arena, Psevdas
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What was the result of Omonia Psevda vs Xylotympou?
Xylotympou won 1-2 on February 15, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Omonia Psevda have 2 wins, 1 draw and 12 defeats; Xylotympou have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2020 | Akritas(away) | 1-2 | 2. Division |
| Feb 1, 2020 | Digenis Morphou(home) | 1-2 | 2. Division |
| Jan 25, 2020 | Omonia Aradippou(away) | 1-3 | 2. Division |
| Jan 11, 2020 | Ayia Napa(home) | 1-2 | 2. Division |
| Jan 4, 2020 | Alki Oroklini(home) | 2-3 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2020 | Krasava Ypsonas(home) | 1-0 | 2. Division |
| Feb 1, 2020 | Omonia Aradippou(away) | 1-1 | 2. Division |
| Jan 26, 2020 | Onisilos(home) | 0-0 | 2. Division |
| Jan 10, 2020 | Othellos(away) | 1-4 | 2. Division |
| Jan 4, 2020 | Ermis(home) | 0-1 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Omonia Psevda wins, 1 draw, 1 Xylotympou win.
| Date | Score | Competition |
|---|---|---|
| Jan 26, 2019 | Xylotympou 1-0 Omonia Psevda | 3. Division |
| Sep 30, 2018 | Omonia Psevda 0-0 Xylotympou | 3. Division |
Last archived meeting: Xylotympou vs Omonia Psevda on Jan 26, 2019
How many goals should we expect?
Omonia Psevda score 0.9 and concede 2.9 goals per match over their last 15; Xylotympou score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Omonia Psevda | 0.9 | 2.9 | 0 | 9/15 | 10/15 |
| Xylotympou | 0.9 | 1.7 | 3 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Omonia Psevda vs Xylotympou?
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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