Ionikos vs Aspropyrgos Enosis: result 2-0 and analysis
Football LeagueRegular Season - 12Kick-off on December 15, 2019 at 01:00 PM (UTC)Dimotiko Gipedo Neapolis Nikaias, Athína (Athens)
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What was the result of Ionikos vs Aspropyrgos Enosis?
Ionikos won 2-0 on December 15, 2019.
Goalscorers
- 39′?Ionikos
- 79′M. KallergisIonikos
What is the recent form of both teams?
Over their last 13 matches in all competitions, Ionikos have 7 wins, 3 draws and 3 defeats; Aspropyrgos Enosis have 4, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Kavala(away) | 0-0 | Football League |
| Dec 1, 2019 | Triglia(home) | 2-0 | Football League |
| Nov 24, 2019 | Olympiakos Volos(away) | 1-1 | Football League |
| Nov 17, 2019 | Diagoras(home) | 3-2 | Football League |
| Nov 10, 2019 | Egaleo(away) | 2-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 10, 2019 | Thesprotos(away) | 0-1 | Football League |
How many goals should we expect?
Ionikos score 1.3 and concede 0.7 goals per match over their last 13; Aspropyrgos Enosis score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ionikos | 1.3 | 0.7 | 6 | 5/13 | 5/13 |
| Aspropyrgos Enosis | 1.0 | 1.2 | 4 | 5/13 | 4/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Ionikos sit 2nd in Football League (40 points from 23 matches) and Aspropyrgos Enosis sit 12th (20 points from 23 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Ionikos | 23 | 11 | 7 | 5 | 26 | 13 | 40 |
| 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