AOK Kerkyra vs PAOK: result 0-4 and analysis
Super League 1Regular Season - 26Kick-off on March 25, 2012 at 04:30 PM (UTC)Stadio Kerkyras, Corfu
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What was the result of AOK Kerkyra vs PAOK?
PAOK won 0-4 on March 25, 2012.
Goalscorers
- 15′Pablo Gabriel García PérezPAOK
- 45′S. AthanasiadisPAOK
- 53′C. LazărPAOK
- 64′C. LazărPAOK
What is the recent form of both teams?
Over their last 15 matches in all competitions, AOK Kerkyra have 6 wins, 2 draws and 7 defeats; PAOK have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2012 | Ergotelis(away) | 0-1 | Super League 1 |
| Mar 11, 2012 | Xanthi FC(home) | 2-0 | Super League 1 |
| Mar 7, 2012 | Levadiakos(home) | 3-2 | Super League 1 |
| Mar 4, 2012 | Levadiakos(away) | 3-4 | Super League 1 |
| Feb 22, 2012 | Asteras Tripolis(away) | 0-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2012 | Panetolikos(away) | 1-1 | Super League 1 |
| Mar 10, 2012 | Asteras Tripolis(home) | 2-3 | Super League 1 |
| Mar 4, 2012 | Panathinaikos(away) | 2-0 | Super League 1 |
| Feb 19, 2012 | Aris Thessalonikis(home) | 0-0 | Super League 1 |
| Feb 11, 2012 | OFI(away) | 2-0 | Super League 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 AOK Kerkyra win(s), 1 draw(s), 0 PAOK win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2011 | PAOK 0-0 AOK Kerkyra | Super League 1 |
How many goals should we expect?
AOK Kerkyra score 1.2 and concede 1.2 goals per match over their last 15; PAOK score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AOK Kerkyra | 1.2 | 1.2 | 5 | 6/15 | 5/15 |
| PAOK | 1.5 | 0.7 | 9 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | PAOK | 1 | 1 | 0 | 0 | 4 | 0 | 3 |
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