Panserraikos vs Kavala: result 2-1 and analysis
Football LeagueRegular Season - 19Kick-off on February 3, 2013 at 01:00 PM (UTC)Dimotiko Stadio Serron, Serres
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What was the result of Panserraikos vs Kavala?
Panserraikos won 2-1 on February 3, 2013.
Goalscorers
- 20′A. SimićPanserraikos
- 60′Pantelis DoutsaridisKavala
- 90′Alexandros TsoutsisPanserraikos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panserraikos have 4 wins, 5 draws and 6 defeats; Kavala have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2013 | AEL Kallonis(away) | 0-1 | Football League |
| Jan 20, 2013 | Iraklis(home) | 2-2 | Football League |
| Jan 13, 2013 | Pierikos(away) | 0-1 | Football League |
| Jan 6, 2013 | Apollon Smirnis(home) | 1-0 | Football League |
| Dec 23, 2012 | PAS Giannina(home) | 0-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2013 | Olympiakos Piraeus(home) | 0-1 | Cup |
| Jan 27, 2013 | Kallithea(home) | 1-0 | Football League |
| Jan 20, 2013 | Larisa(away) | 0-1 | Football League |
| Jan 16, 2013 | Olympiakos Piraeus(away) | 0-2 | Cup |
| Jan 13, 2013 | Fokikos(home) | 1-0 | Football League |
How many goals should we expect?
Panserraikos score 0.6 and concede 0.9 goals per match over their last 15; Kavala score 0.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panserraikos | 0.6 | 0.9 | 6 | 3/15 | 4/15 |
| Kavala | 0.5 | 0.8 | 6 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Kavala | 23 | 9 | 9 | 5 | 23 | 12 | 36 |
A question about Panserraikos vs Kavala?
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