Keratsini vs Pyliou: result 0-1 and analysis
Gamma Ethniki - Group 6Group 6 - 4Kick-off on November 14, 2021 at 01:00 PM (UTC)Gipedo Panaiotis Salpeas, Keratsini
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What was the result of Keratsini vs Pyliou?
Pyliou won 0-1 on November 14, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Keratsini have 5 wins, 2 draws and 8 defeats; Pyliou have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Thyella Diastavroseos(away) | 1-0 | Gamma Ethniki - Group 6 |
| Oct 31, 2021 | Panelefsiniakos(home) | 0-4 | Gamma Ethniki - Group 6 |
| Oct 25, 2021 | Aiolikos(away) | 1-2 | Gamma Ethniki - Group 6 |
| Sep 12, 2021 | Ethnikos Piraeus(away) | 0-3 | Cup |
| Sep 5, 2021 | Anagennisi Ierapetra(away) | 1-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Ethnikos Piraeus(home) | 2-0 | Gamma Ethniki - Group 6 |
| Nov 1, 2021 | Proodeftiki(home) | 2-0 | Gamma Ethniki - Group 6 |
| Oct 24, 2021 | Aias Salamina(away) | 1-1 | Gamma Ethniki - Group 6 |
| Sep 5, 2021 | Atsalenios(away) | 2-3 | Cup |
| Jun 6, 2021 | Keratsini(home) | 1-0 | Gamma Ethniki - Group 8 |
What does the head-to-head say?
In the last meeting: 0 Keratsini wins, 0 draws, 1 Pyliou win.
| Date | Score | Competition |
|---|---|---|
| Jun 6, 2021 | Pyliou 1-0 Keratsini | Gamma Ethniki - Group 8 |
How many goals should we expect?
Keratsini score 0.8 and concede 1.5 goals per match over their last 15; Pyliou score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Keratsini | 0.8 | 1.5 | 5 | 3/15 | 6/15 |
| Pyliou | 1.3 | 0.8 | 8 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Keratsini vs Pyliou?
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