Egaleo vs Episkopi: result 1-3 and analysis
Football LeagueNorth - 5Kick-off on April 14, 2021 at 12:00 PM (UTC)Stadio Stavros Mavrothalassitis, Athens
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What was the result of Egaleo vs Episkopi?
Episkopi won 1-3 on April 14, 2021.
Goalscorers
- 27′?Egaleo (pen.)
- 33′T. TsirigotisEpiskopi
- 45′T. TsirigotisEpiskopi
- 53′?Episkopi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Egaleo have 6 wins, 3 draws and 6 defeats; Episkopi have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2021 | Aspropyrgos Enosis(home) | 1-0 | Football League |
| Apr 4, 2021 | Santorini 2020(away) | 0-1 | Football League |
| Mar 31, 2021 | Ialysos(home) | 0-2 | Football League |
| Mar 27, 2021 | Niki Volos(away) | 2-1 | Football League |
| Mar 7, 2020 | Thesprotos(home) | 1-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2021 | Kallithea(home) | 0-0 | Football League |
| Apr 4, 2021 | Kalamata(away) | 0-1 | Football League |
| Mar 31, 2021 | Asteras Vlachioti(home) | 1-0 | Football League |
| Mar 28, 2021 | Rodos(away) | 0-0 | Football League |
| Mar 8, 2020 | Giouchtas(away) | 1-2 | Gamma Ethniki - Group 8 |
How many goals should we expect?
Egaleo score 0.6 and concede 0.9 goals per match over their last 15; Episkopi score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Egaleo | 0.6 | 0.9 | 6 | 3/15 | 2/15 |
| Episkopi | 1.5 | 0.5 | 8 | 6/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Egaleo | 23 | 7 | 6 | 10 | 14 | 22 | 27 |
A question about Egaleo vs Episkopi?
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