Episkopi vs Kalamata: result 1-0 and analysis
Football LeagueNorth - 12Kick-off on May 16, 2021 at 01:00 PM (UTC)Dimotiko Gipedo Episkopis, Episkopi
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What was the result of Episkopi vs Kalamata?
Episkopi won 1-0 on May 16, 2021.
Goalscorers
- 63′?Episkopi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Episkopi have 5 wins, 7 draws and 3 defeats; Kalamata have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2021 | Rodos(home) | 0-0 | Football League |
| May 5, 2021 | Niki Volos(away) | 0-0 | Football League |
| Apr 24, 2021 | Santorini 2020(home) | 1-0 | Football League |
| Apr 18, 2021 | Ialysos(away) | 0-1 | Football League |
| Apr 14, 2021 | Egaleo(away) | 3-1 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2021 | Aspropyrgos Enosis(home) | 2-0 | Football League |
| May 9, 2021 | Santorini 2020(home) | 1-0 | Football League |
| May 5, 2021 | Ialysos(away) | 0-0 | Football League |
| Apr 29, 2021 | Egaleo(home) | 2-0 | Football League |
| Apr 24, 2021 | Kallithea(away) | 1-2 | Football League |
What does the head-to-head say?
In the last meeting: 0 Episkopi wins, 0 draws, 1 Kalamata win.
| Date | Score | Competition |
|---|---|---|
| Apr 4, 2021 | Kalamata 1-0 Episkopi | Football League |
How many goals should we expect?
Episkopi score 0.7 and concede 0.5 goals per match over their last 15; Kalamata score 0.9 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Episkopi | 0.7 | 0.5 | 8 | 5/15 | 2/15 |
| Kalamata | 0.9 | 0.3 | 11 | 2/15 | 1/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kalamata | 23 | 5 | 4 | 14 | 17 | 28 | 19 |
A question about Episkopi vs Kalamata?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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