Iraklis Yerolakkou vs Omonia Psevda: result 3-1 and analysis
3. DivisionRegular Season - 5Kick-off on October 23, 2021 at 12:30 PM (UTC)Gipedo PAEEK Keryneia Epistrofi, Strovolos
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What was the result of Iraklis Yerolakkou vs Omonia Psevda?
Iraklis Yerolakkou won 3-1 on October 23, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iraklis Yerolakkou have 4 wins, 4 draws and 7 defeats; Omonia Psevda have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2021 | Kouris Erimi(away) | 0-0 | 3. Division |
| Oct 9, 2021 | Krasava Ypsonas(home) | 1-0 | 3. Division |
| Oct 2, 2021 | MEAP Nisou(away) | 1-2 | 3. Division |
| Sep 25, 2021 | APEP(home) | 1-1 | 3. Division |
| May 29, 2021 | APONA Anagias(away) | 2-4 | 3. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Halkanoras(home) | 2-3 | 3. Division |
| Oct 9, 2021 | Peyia(away) | 0-3 | 3. Division |
| Oct 3, 2021 | Elia Lythrodonta(home) | 1-0 | 3. Division |
| Sep 25, 2021 | AE Zakakiou(away) | 1-1 | 3. Division |
| May 15, 2021 | Anagennisi Deryneia(home) | 2-1 | 2. Division |
How many goals should we expect?
Iraklis Yerolakkou score 1.6 and concede 1.6 goals per match over their last 15; Omonia Psevda score 1.1 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iraklis Yerolakkou | 1.6 | 1.6 | 3 | 11/15 | 9/15 |
| Omonia Psevda | 1.1 | 2.6 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Omonia Psevda | 14 | 7 | 3 | 4 | 17 | 11 | 37 |
A question about Iraklis Yerolakkou vs Omonia Psevda?
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