Pierikos vs Vyzas: result 2-1 and analysis
Football LeagueRegular Season - 12Kick-off on December 2, 2012 at 01:00 PM (UTC)Stadio Katerinis, Katerini
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What was the result of Pierikos vs Vyzas?
Pierikos won 2-1 on December 2, 2012.
Goalscorers
- 14′A. DialloVyzas
- 38′Daniel Martín AlexandrePierikos
- 63′Daniel Martín AlexandrePierikos
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pierikos have 3 wins, 6 draws and 6 defeats; Vyzas have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2012 | Levadiakos(away) | 0-2 | Cup |
| Nov 25, 2012 | Kavala(away) | 1-0 | Football League |
| Nov 21, 2012 | AEL Kallonis(home) | 1-1 | Football League |
| Nov 18, 2012 | Iraklis(away) | 0-3 | Football League |
| Nov 11, 2012 | Doxa Dramas(home) | 0-3 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2012 | Apollon Smirnis(home) | 0-1 | Football League |
| Nov 21, 2012 | Iraklis Psachna(away) | 1-2 | Football League |
| Nov 18, 2012 | Ergotelis(home) | 1-1 | Football League |
| Nov 4, 2012 | Niki Volos(home) | 2-0 | Football League |
| Oct 31, 2012 | Thrasyvoulos(away) | 0-1 | Cup |
What does the head-to-head say?
Across the last 2 meetings: 2 Pierikos wins, 0 draws, 0 Vyzas wins.
| Date | Score | Competition |
|---|---|---|
| Mar 14, 2012 | Pierikos 2-0 Vyzas | Football League |
| Nov 6, 2011 | Vyzas 1-2 Pierikos | Football League |
How many goals should we expect?
Pierikos score 0.6 and concede 1.3 goals per match over their last 15; Vyzas score 0.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pierikos | 0.6 | 1.3 | 6 | 3/15 | 4/15 |
| Vyzas | 0.5 | 1.1 | 5 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Pierikos vs Vyzas?
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