Ahironas / Onisilos vs Krasava Ypsonas: result 2-0 and analysis
2. DivisionRegular Season - 10Kick-off on November 27, 2022 at 12:30 PM (UTC)Dimotiko Stadio Sotiras, Sotira
Full time
What was the result of Ahironas / Onisilos vs Krasava Ypsonas?
Ahironas / Onisilos won 2-0 on November 27, 2022.
Goalscorers
- 25′?Ahironas / Onisilos
- 54′A. KyriakouAhironas / Onisilos
What is the recent form of both teams?
Over their last 10 matches in all competitions, Ahironas / Onisilos have 4 wins, 2 draws and 4 defeats; Krasava Ypsonas have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | PAEEK(home) | 0-1 | 2. Division |
| Nov 5, 2022 | Ermis(away) | 1-0 | 2. Division |
| Oct 30, 2022 | Ethnikos Achna(home) | 2-1 | 2. Division |
| Oct 22, 2022 | Peyia(away) | 1-1 | 2. Division |
| Oct 16, 2022 | Othellos(home) | 2-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2022 | Ermis(home) | 2-2 | 2. Division |
| Nov 4, 2022 | Ethnikos Achna(away) | 4-0 | 2. Division |
| Oct 29, 2022 | Peyia(home) | 2-2 | 2. Division |
| Oct 23, 2022 | Othellos(away) | 2-1 | 2. Division |
| Oct 19, 2022 | Karmiotissa(away) | 2-3 | Cup |
How many goals should we expect?
Ahironas / Onisilos score 0.8 and concede 1.1 goals per match over their last 10; Krasava Ypsonas score 1.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ahironas / Onisilos | 0.8 | 1.1 | 3 | 3/10 | 3/10 |
| Krasava Ypsonas | 1.9 | 1.8 | 2 | 12/15 | 13/15 |
Over the last 10 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 Ahironas / Onisilos vs Krasava Ypsonas?
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