Aspropyrgos Enosis vs Kallithea: result 0-3 and analysis
Football LeagueNorth - 3Kick-off on April 4, 2021 at 12:00 PM (UTC)Dimotiko Stadio Aspropyrgos, Aspropyrgos
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What was the result of Aspropyrgos Enosis vs Kallithea?
Kallithea won 0-3 on April 4, 2021.
Goalscorers
- 45′?Kallithea
- 53′?Kallithea
- 61′?Kallithea
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aspropyrgos Enosis have 2 wins, 3 draws and 10 defeats; Kallithea have 10, 5 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2021 | Kalamata(home) | 0-2 | Football League |
| Mar 28, 2021 | Asteras Vlachioti(away) | 0-1 | Football League |
| Mar 7, 2020 | Ialysos(away) | 2-2 | Football League |
| Mar 1, 2020 | Kalamata(home) | 1-0 | Football League |
| Feb 22, 2020 | OF Ierapetra(away) | 0-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2021 | Santorini 2020(home) | 1-1 | Football League |
| Mar 28, 2021 | Ialysos(away) | 1-1 | Football League |
| Mar 8, 2020 | Panthiraikos(away) | 1-1 | Gamma Ethniki - Group 5 |
| Feb 29, 2020 | Agios Ierotheos(home) | 3-0 | Gamma Ethniki - Group 5 |
| Feb 23, 2020 | Keratsini(home) | 2-1 | Gamma Ethniki - Group 5 |
How many goals should we expect?
Aspropyrgos Enosis score 0.6 and concede 1.7 goals per match over their last 15; Kallithea score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aspropyrgos Enosis | 0.6 | 1.7 | 3 | 4/15 | 7/15 |
| Kallithea | 1.7 | 0.7 | 8 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Aspropyrgos Enosis | 23 | 5 | 8 | 10 | 21 | 33 | 20 |
A question about Aspropyrgos Enosis vs Kallithea?
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