Vyzas vs Paniliakos: result 3-0 and analysis
Football LeagueNotios - 1Kick-off on September 27, 2013 at 03:00 PM (UTC)Gipedo Megaron, Megara
Full time
What was the result of Vyzas vs Paniliakos?
Vyzas won 3-0 on September 27, 2013.
Official lineup for Vyzas vs Paniliakos
The starting elevens fielded at kick-off.
Vyzas
- 7Nikos Lekkas
- 34Nikos Gaidatzis
- 6N. Beleris
- 8I. Maziotis
- 10A. Arnarellis
- 11Giorgos Nikoletos
- 12G. Tabakis
- 14Panagiotis Papaefthimiou
- 3A. Mandilis
- 5Đuro Jandrić
- 1Đorđe Lukić
Paniliakos
- 7Clarence Junior Bitang
- 19Constantin Pigla Sintat Brachet
- 39Antonis Liosis
- 3Dimitrios Kotsonis
- 6M. Kalaitzidis
- 8A. Nastos
- 10Kostas Konstantinidis
- 17N. Thomopoulos
- 31G. Saramantas
- 44T. Litsos
- 30V. Pitkas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vyzas have 4 wins, 2 draws and 9 defeats; Paniliakos have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2013 | Chania(home) | 1-2 | Cup |
| May 26, 2013 | Anagennisi Epanomis(home) | 3-0 | Football League |
| May 22, 2013 | Panserraikos(away) | 0-3 | Football League |
| May 19, 2013 | Kallithea(home) | 2-1 | Football League |
| May 15, 2013 | Larisa(away) | 0-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2013 | Fostiras(home) | 1-2 | Cup |
| Oct 24, 2012 | Panachaiki FC(home) | 0-0 | Cup |
| Nov 9, 2011 | Apollon Smirnis(away) | 2-4 | Cup |
How many goals should we expect?
Vyzas score 0.7 and concede 1.2 goals per match over their last 15; Paniliakos score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vyzas | 0.7 | 1.2 | 3 | 4/15 | 6/15 |
| Paniliakos | 1.0 | 2.0 | 1 | 2/3 | 2/3 |
Over the last 15 matches in all competitions.
A question about Vyzas vs Paniliakos?
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