Pierikos vs Diagoras: result 3-0 and analysis
Football LeagueRegular Season - 26Kick-off on April 21, 2012 at 10:00 PM (UTC)Stadio Katerinis, Katerini
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What was the result of Pierikos vs Diagoras?
Pierikos won 3-0 on April 21, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pierikos have 10 wins, 1 draw and 4 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 8, 2012 | Giannitsa(away) | 3-0 | Football League |
| Apr 4, 2012 | Anagennisi Epanomis(home) | 1-2 | Football League |
| Apr 1, 2012 | Ethnikos Asteras(away) | 3-0 | Football League |
| Mar 28, 2012 | Larisa(home) | 2-1 | Football League |
| Mar 23, 2012 | Panachaiki FC(away) | 0-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2012 | Veria(home) | 0-3 | Football League |
| Apr 4, 2012 | Vyzas(away) | 0-3 | Football League |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Pierikos win, 0 draws, 0 Diagoras wins.
| Date | Score | Competition |
|---|---|---|
| Jan 4, 2012 | Diagoras 0-2 Pierikos | Football League |
How many goals should we expect?
Pierikos score 1.5 and concede 0.6 goals per match over their last 15; Diagoras score 0.0 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pierikos | 1.5 | 0.6 | 9 | 5/15 | 7/15 |
| Diagoras | 0.0 | 3.1 | 1 | 0/15 | 14/15 |
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 Pierikos vs Diagoras?
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