ASIL Lysi vs Olympiada Lympion: result 2-3 and analysis
2. DivisionRegular Season - 7Kick-off on October 30, 2021 at 11:30 AM (UTC)AEK Arena - George Karapatakis, Larnaca
Full time
What was the result of ASIL Lysi vs Olympiada Lympion?
Olympiada Lympion won 2-3 on October 30, 2021.
Goalscorers
- 31′A. RanosASIL Lysi
- 44′FabinhoOlympiada Lympion
- 86′A. RanosASIL Lysi
- 90′?Olympiada Lympion
- 90′?Olympiada Lympion
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASIL Lysi have 4 wins, 2 draws and 9 defeats; Olympiada Lympion have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Karmiotissa(away) | 0-1 | 2. Division |
| Oct 17, 2021 | Ayia Napa(home) | 1-3 | 2. Division |
| Oct 2, 2021 | Nea Salamis(away) | 1-2 | 2. Division |
| Sep 25, 2021 | Ermis(home) | 0-1 | 2. Division |
| Sep 17, 2021 | Akritas(away) | 1-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Onisilos(home) | 0-0 | 2. Division |
| Oct 16, 2021 | Enosis(away) | 1-0 | 2. Division |
| Oct 3, 2021 | Anagennisi Deryneia(home) | 0-0 | 2. Division |
| Sep 26, 2021 | Omonia 29is Maiou(away) | 1-0 | 2. Division |
| Sep 22, 2021 | Apollon Limassol(away) | 1-3 | Cup |
How many goals should we expect?
ASIL Lysi score 1.5 and concede 1.3 goals per match over their last 15; Olympiada Lympion score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASIL Lysi | 1.5 | 1.3 | 4 | 7/15 | 8/15 |
| Olympiada Lympion | 2.1 | 1.0 | 7 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | ASIL Lysi | 4 | 2 | 1 | 1 | 7 | 4 | 7 |
A question about ASIL Lysi vs Olympiada Lympion?
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