PAS Giannina vs Kifisia: result 3-0 and analysis
Super League 1Regular Season - 1Kick-off on August 20, 2023 at 05:00 PM (UTC)Stadio Zosimades, Ioannina
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What was the result of PAS Giannina vs Kifisia?
PAS Giannina won 3-0 on August 20, 2023.
Goalscorers
- 31′Pedro CondePAS Giannina (pen.)
- 53′Pedro CondePAS Giannina
- 90′J. GarroPAS Giannina
What is the recent form of both teams?
Over their last 15 matches in all competitions, PAS Giannina have 3 wins, 7 draws and 5 defeats; Kifisia have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2023 | Panetolikos(home) | 1-2 | Friendlies Clubs |
| Aug 4, 2023 | Panserraikos(home) | 1-1 | Friendlies Clubs |
| Jul 29, 2023 | Cracovia Krakow(away) | 0-0 | Friendlies Clubs |
| May 13, 2023 | Levadiakos(away) | 3-3 | Super League 1 |
| May 6, 2023 | Asteras Tripolis(home) | 1-0 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2023 | Apollon Smirnis(away) | 0-0 | Super League 2 |
| Jun 11, 2023 | Kalamata(home) | 1-1 | Super League 2 |
| Jun 4, 2023 | Episkopi(away) | 5-1 | Super League 2 |
| May 29, 2023 | Kissamikos(home) | 0-3 | Super League 2 |
| May 22, 2023 | Panachaiki FC(away) | 2-1 | Super League 2 |
How many goals should we expect?
PAS Giannina score 0.9 and concede 1.1 goals per match over their last 15; Kifisia score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PAS Giannina | 0.9 | 1.1 | 5 | 7/15 | 4/15 |
| Kifisia | 1.9 | 1.0 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kifisia | 36 | 9 | 14 | 13 | 40 | 51 | 41 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy