Vyzas vs Panetolikos: result 0-3 and analysis
Football LeagueRegular Season - 24Kick-off on February 24, 2013 at 01:00 PM (UTC)Gipedo Megaron, Megara
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What was the result of Vyzas vs Panetolikos?
Panetolikos won 0-3 on February 24, 2013.
Goalscorers
- 38′Damian BellonPanetolikos
- 79′Damian BellonPanetolikos
- 89′Giorgos IordanidisPanetolikos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vyzas have 0 wins, 5 draws and 10 defeats; Panetolikos have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2013 | Olympiakos Volos(away) | 0-3 | Football League |
| Feb 17, 2013 | Giannitsa(home) | 1-2 | Football League |
| Feb 10, 2013 | Anagennisi Epanomis(away) | 0-0 | Football League |
| Feb 6, 2013 | Panserraikos(home) | 0-1 | Football League |
| Feb 3, 2013 | Kallithea(away) | 0-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2013 | Kavala(home) | 0-0 | Football League |
| Feb 17, 2013 | AEL Kallonis(away) | 0-2 | Football League |
| Feb 11, 2013 | Iraklis(home) | 3-0 | Football League |
| Feb 6, 2013 | Pierikos(home) | 4-0 | Football League |
| Feb 3, 2013 | Apollon Smirnis(away) | 2-0 | Football League |
What does the head-to-head say?
In the last meeting: 0 Vyzas wins, 0 draws, 1 Panetolikos win.
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2012 | Panetolikos 3-0 Vyzas | Football League |
How many goals should we expect?
Vyzas score 0.5 and concede 1.5 goals per match over their last 15; Panetolikos score 1.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vyzas | 0.5 | 1.5 | 2 | 7/15 | 6/15 |
| Panetolikos | 1.2 | 0.8 | 9 | 3/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Vyzas vs Panetolikos?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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