Aspropyrgos Enosis vs Diagoras: result 0-3 and analysis
Football LeagueRegular Season - 13Kick-off on December 22, 2019 at 01:00 PM (UTC)Dimotiko Stadio Aspropyrgos, Aspropyrgos
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What was the result of Aspropyrgos Enosis vs Diagoras?
Diagoras won 0-3 on December 22, 2019.
Goalscorers
- 3′?Diagoras
- 45′?Diagoras
- 66′?Diagoras
What is the recent form of both teams?
Over their last 14 matches in all competitions, Aspropyrgos Enosis have 4 wins, 5 draws and 5 defeats; Diagoras have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Ionikos(away) | 0-2 | Football League |
| Dec 8, 2019 | Niki Volos(away) | 0-3 | Football League |
| Nov 30, 2019 | Ialysos(home) | 1-0 | Football League |
| Nov 24, 2019 | Kalamata(away) | 2-2 | Football League |
| Nov 17, 2019 | OF Ierapetra(home) | 3-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 15, 2019 | Kavala(home) | 0-0 | Football League |
| Dec 8, 2019 | Triglia(away) | 1-1 | Football League |
| Dec 1, 2019 | Olympiakos Volos(home) | 0-0 | Football League |
| Nov 24, 2019 | Egaleo(away) | 2-0 | Football League |
| Nov 17, 2019 | Ionikos(away) | 2-3 | Football League |
How many goals should we expect?
Aspropyrgos Enosis score 0.9 and concede 1.2 goals per match over their last 14; Diagoras score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aspropyrgos Enosis | 0.9 | 1.2 | 4 | 5/14 | 4/14 |
| Diagoras | 0.9 | 1.1 | 6 | 6/15 | 5/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Aspropyrgos Enosis sit 12th in Football League (20 points from 23 matches) and Diagoras sit 3rd (38 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Diagoras | 23 | 10 | 8 | 5 | 27 | 15 | 38 |
| 12 | Aspropyrgos Enosis | 23 | 5 | 8 | 10 | 21 | 33 | 20 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy