Olympiada Lympion vs Ahironas / Onisilos: result 0-2 and analysis
2. DivisionRegular Season - 13Kick-off on December 17, 2022 at 12:30 PM (UTC)Gipedo Olympias Lympion, Lympia
Full time
What was the result of Olympiada Lympion vs Ahironas / Onisilos?
Ahironas / Onisilos won 0-2 on December 17, 2022.
Goalscorers
- 49′Dimitrios DiamantopoulosAhironas / Onisilos
- 59′Dimitrios DiamantopoulosAhironas / Onisilos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olympiada Lympion have 1 win, 2 draws and 12 defeats; Ahironas / Onisilos have 5, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2022 | Ermis(away) | 0-1 | 2. Division |
| Dec 4, 2022 | Ethnikos Achna(home) | 0-1 | 2. Division |
| Nov 26, 2022 | Peyia(away) | 0-1 | 2. Division |
| Nov 13, 2022 | Othellos(home) | 0-2 | 2. Division |
| Nov 5, 2022 | AE Zakakiou(away) | 0-2 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2022 | Anagennisi Deryneia(home) | 3-3 | 2. Division |
| Dec 4, 2022 | Omonia 29is Maiou(away) | 0-1 | 2. Division |
| Nov 27, 2022 | Krasava Ypsonas(home) | 2-0 | 2. Division |
| Nov 13, 2022 | PAEEK(home) | 0-1 | 2. Division |
| Nov 5, 2022 | Ermis(away) | 1-0 | 2. Division |
How many goals should we expect?
Olympiada Lympion score 0.7 and concede 1.7 goals per match over their last 15; Ahironas / Onisilos score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympiada Lympion | 0.7 | 1.7 | 1 | 6/15 | 4/15 |
| Ahironas / Onisilos | 1.0 | 1.2 | 4 | 4/13 | 4/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Ahironas / Onisilos | 14 | 0 | 4 | 10 | 12 | 38 | 8 |
A question about Olympiada Lympion vs Ahironas / Onisilos?
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