Kavala vs Anagennisi Epanomis: result 3-0 and analysis
Football LeagueRegular Season - 20Kick-off on February 6, 2013 at 01:00 PM (UTC)Dimotiko Stadio Anthi Karagianni, Kavala
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What was the result of Kavala vs Anagennisi Epanomis?
Kavala won 3-0 on February 6, 2013.
Goalscorers
- 27′T. N'DiayeKavala
- 57′Elhadj Ousmane BarryKavala
- 88′D. PliagasKavala
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kavala have 4 wins, 3 draws and 8 defeats; Anagennisi Epanomis have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2013 | Panserraikos(away) | 1-2 | Football League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2013 | AEL Kallonis(home) | 2-1 | Football League |
| Jan 27, 2013 | Iraklis(away) | 0-2 | Football League |
| Jan 20, 2013 | Pierikos(home) | 0-0 | Football League |
| Jan 13, 2013 | Apollon Smirnis(away) | 0-2 | Football League |
| Jan 6, 2013 | Iraklis Psachna(home) | 1-1 | Football League |
How many goals should we expect?
Kavala score 0.5 and concede 0.8 goals per match over their last 15; Anagennisi Epanomis score 0.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kavala | 0.5 | 0.8 | 6 | 3/15 | 2/15 |
| Anagennisi Epanomis | 0.5 | 1.5 | 2 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Kavala | 23 | 9 | 9 | 5 | 23 | 12 | 36 |
A question about Kavala vs Anagennisi Epanomis?
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