Vyzas vs Diagoras: result 3-0 and analysis
Football LeagueRegular Season - 24Kick-off on April 4, 2012 at 02:00 PM (UTC)Gipedo Megaron, Megara
Full time
What was the result of Vyzas vs Diagoras?
Vyzas won 3-0 on April 4, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vyzas have 5 wins, 4 draws and 6 defeats; Diagoras have 0, 1 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2012 | Giannitsa(away) | 1-0 | Football League |
| Mar 28, 2012 | Anagennisi Epanomis(home) | 0-0 | Football League |
| Mar 19, 2012 | Larisa(home) | 1-0 | Football League |
| Mar 14, 2012 | Pierikos(away) | 0-2 | Football League |
| Mar 11, 2012 | Veria(home) | 1-3 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2012 | Panserraikos(home) | 0-3 | Football League |
| Mar 27, 2012 | Iraklis Psachna(home) | 0-3 | Football League |
| Mar 23, 2012 | Fokikos(away) | 0-3 | Football League |
| Mar 18, 2012 | Agrotikos Asteras(home) | 0-3 | Football League |
| Mar 14, 2012 | Thrasyvoulos(away) | 0-3 | Football League |
What does the head-to-head say?
In the last meeting: 1 Vyzas win, 0 draws, 0 Diagoras wins.
| Date | Score | Competition |
|---|---|---|
| Dec 12, 2011 | Diagoras 0-1 Vyzas | Football League |
How many goals should we expect?
Vyzas score 0.8 and concede 1.2 goals per match over their last 15; Diagoras score 0.0 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vyzas | 0.8 | 1.2 | 3 | 7/15 | 5/15 |
| Diagoras | 0.0 | 2.9 | 1 | 0/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Diagoras | 23 | 10 | 8 | 5 | 27 | 15 | 38 |
A question about Vyzas vs Diagoras?
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