Keratsini vs Thyella Diastavroseos: result 0-2 and analysis
Gamma Ethniki - Group 8Group 8 - 7Kick-off on April 25, 2021 at 01:30 PM (UTC)Gipedo Panaiotis Salpeas, Keratsini
Full time
What was the result of Keratsini vs Thyella Diastavroseos?
Thyella Diastavroseos won 0-2 on April 25, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Keratsini have 4 wins, 4 draws and 7 defeats; Thyella Diastavroseos 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 18, 2021 | Panelefsiniakos(away) | 0-3 | Gamma Ethniki - Group 8 |
| Apr 11, 2021 | Akratitos(home) | 1-0 | Gamma Ethniki - Group 8 |
| Nov 2, 2020 | Aiolikos(home) | 0-2 | Gamma Ethniki - Group 8 |
| Oct 28, 2020 | Aris Archangelou(home) | 2-2 | Cup |
| Oct 24, 2020 | Karavas(away) | 0-2 | Gamma Ethniki - Group 8 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2021 | Asteras Varis(home) | 2-0 | Gamma Ethniki - Group 8 |
| Apr 11, 2021 | Aias Salamina(away) | 1-0 | Gamma Ethniki - Group 8 |
| Oct 25, 2020 | Akratitos(home) | 2-2 | Gamma Ethniki - Group 8 |
| Oct 18, 2020 | Aiolikos(away) | 2-2 | Gamma Ethniki - Group 8 |
| Oct 11, 2020 | Karavas(home) | 0-0 | 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; Thyella Diastavroseos 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 | 4 | 6/15 | 6/15 |
| Thyella Diastavroseos | 1.3 | 0.8 | 8 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Keratsini vs Thyella Diastavroseos?
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