Match

Panionios vs AOK Kerkyra: result 3-1 and analysis

Super League 1Regular Season - 16Kick-off on January 6, 2018 at 01:00 PM (UTC)Stadio Néas Smírnis, Athens

Panionios
3-1
AOK Kerkyra

Full time

What was the result of Panionios vs AOK Kerkyra?

Panionios won 3-1 on January 6, 2018.

Goalscorers

  • 43′Denis EpsteinAOK Kerkyra
  • 46′G. MasourasPanionios
  • 53′L. LamprouPanionios
  • 78′T. PapageorgiouPanionios

What is the recent form of both teams?

Over their last 15 matches in all competitions, Panionios have 6 wins, 3 draws and 6 defeats; AOK Kerkyra have 2, 6 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Panionios
DateOpponentScoreCompetition
Dec 21, 2017OFI(home)2-0Cup
Dec 18, 2017Levadiakos(away)1-2Super League 1
Dec 9, 2017Platanias(home)2-1Super League 1
Dec 3, 2017Panathinaikos(away)1-0Super League 1
Nov 30, 2017Panegialios(away)0-1Cup
AOK Kerkyra
DateOpponentScoreCompetition
Dec 16, 2017Atromitos(home)1-3Super League 1
Dec 11, 2017AEK Athens FC(away)1-3Super League 1
Dec 2, 2017Asteras Tripolis(away)0-4Super League 1
Nov 29, 2017Trikala(away)0-0Cup
Nov 26, 2017Olympiakos Piraeus(home)1-3Super League 1

What does the head-to-head say?

Across the last 6 meetings: 2 Panionios win(s), 1 draw(s), 3 AOK Kerkyra win(s).

DateScoreCompetition
Aug 20, 2017AOK Kerkyra 0-1 PanioniosSuper League 1
Apr 23, 2017AOK Kerkyra 1-0 PanioniosSuper League 1
Dec 11, 2016Panionios 1-0 AOK KerkyraSuper League 1
Feb 8, 2015Panionios 0-0 AOK KerkyraSuper League 1
Dec 3, 2014AOK Kerkyra 1-0 PanioniosSuper League 1
Feb 16, 2013AOK Kerkyra 2-1 PanioniosSuper League 1

Last archived meeting: AOK Kerkyra vs Panionios on Aug 20, 2017

How many goals should we expect?

Panionios score 1.3 and concede 1.1 goals per match over their last 15; AOK Kerkyra score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Panionios1.31.147/156/15
AOK Kerkyra0.91.548/156/15

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

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