PAOK vs AEL Kallonis: result 3-0 and analysis
Cup3rd RoundKick-off on January 14, 2016 at 03:15 PM (UTC)Stadio Toumbas, Thessaloníki
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What was the result of PAOK vs AEL Kallonis?
PAOK won 3-0 on January 14, 2016.
Goalscorers
- 58′S. AthanasiadisPAOK
- 65′R. MakPAOK
- 81′Dimitar Ivanov BerbatovPAOK
What is the recent form of both teams?
Over their last 15 matches in all competitions, PAOK have 7 wins, 5 draws and 3 defeats; AEL Kallonis have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 10, 2016 | PAS Giannina(home) | 3-1 | Super League 1 |
| Jan 6, 2016 | AEL Kallonis(away) | 1-2 | Cup |
| Dec 20, 2015 | Platanias(home) | 1-0 | Super League 1 |
| Dec 17, 2015 | Olympiakos Volos(away) | 1-1 | Cup |
| Dec 14, 2015 | Levadiakos(away) | 0-0 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 11, 2016 | Panathinaikos(home) | 0-2 | Super League 1 |
| Jan 6, 2016 | PAOK(home) | 2-1 | Cup |
| Jan 2, 2016 | Iraklis(away) | 0-3 | Super League 1 |
| Dec 19, 2015 | Olympiakos Piraeus(home) | 0-2 | Super League 1 |
| Dec 16, 2015 | Kissamikos(away) | 2-1 | Cup |
What does the head-to-head say?
Across the last 6 meetings: 4 PAOK win(s), 1 draw(s), 1 AEL Kallonis win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 6, 2016 | AEL Kallonis 2-1 PAOK | Cup |
| Nov 30, 2015 | AEL Kallonis 1-3 PAOK | Super League 1 |
| Jan 14, 2015 | AEL Kallonis 1-2 PAOK | Super League 1 |
| Aug 24, 2014 | PAOK 1-1 AEL Kallonis | Super League 1 |
| Mar 30, 2014 | PAOK 2-1 AEL Kallonis | Super League 1 |
| Dec 15, 2013 | AEL Kallonis 2-5 PAOK | Super League 1 |
How many goals should we expect?
PAOK score 1.7 and concede 1.0 goals per match over their last 15; AEL Kallonis score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PAOK | 1.7 | 1.0 | 6 | 9/15 | 8/15 |
| AEL Kallonis | 0.7 | 1.9 | 1 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
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