Platanias vs Poros: result 0-1 and analysis
Gamma Ethniki - Group 10Group 10 - 11Kick-off on May 16, 2021 at 02:00 PM (UTC)Dimotiko Stadio Perivolion, Perivolia
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What was the result of Platanias vs Poros?
Poros won 0-1 on May 16, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Platanias have 3 wins, 1 draw and 11 defeats; Poros have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2021 | AEEK INKA(away) | 1-4 | Gamma Ethniki - Group 10 |
| May 9, 2021 | Agios Nikolaos(home) | 1-2 | Gamma Ethniki - Group 10 |
| Apr 28, 2021 | Asteras Rethymnou(away) | 0-1 | Gamma Ethniki - Group 10 |
| Apr 25, 2021 | Aris Soudas(home) | 0-1 | Gamma Ethniki - Group 10 |
| Apr 11, 2021 | Irodotos(away) | 0-3 | Gamma Ethniki - Group 10 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2021 | Anagennisi Ierapetra(home) | 2-1 | Gamma Ethniki - Group 10 |
| May 9, 2021 | Atsalenios(away) | 0-1 | Gamma Ethniki - Group 10 |
| Apr 28, 2021 | Rethymniakos(home) | 1-3 | Gamma Ethniki - Group 10 |
| Apr 25, 2021 | Giouchtas(away) | 0-0 | Gamma Ethniki - Group 10 |
| Apr 18, 2021 | AEEK INKA(away) | 1-6 | Gamma Ethniki - Group 10 |
How many goals should we expect?
Platanias score 0.5 and concede 1.9 goals per match over their last 15; Poros score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Platanias | 0.5 | 1.9 | 3 | 3/15 | 5/15 |
| Poros | 0.8 | 1.4 | 4 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Platanias | 2 | 0 | 1 | 1 | 1 | 2 | 1 |
A question about Platanias vs Poros?
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