Diagoras Vrachneika vs Thyella Patras: result 2-0 and analysis
Gamma Ethniki - Group 7Group 7 · Matchday 6Kick-off on October 27, 2019 at 12:00 PM (UTC)Dimotiko Gipedo Vrachnéikon, Vrachneika
Full time
What was the result of Diagoras Vrachneika vs Thyella Patras?
Diagoras Vrachneika won 2-0 on October 27, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Diagoras Vrachneika have 2 wins, 2 draws and 2 defeats; Thyella Patras have 2, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Paniliakos(away) | 0-1 | Gamma Ethniki - Group 7 |
| Oct 13, 2019 | Ermionida(home) | 3-1 | Gamma Ethniki - Group 7 |
| Oct 6, 2019 | Olympiakos Zacharo(away) | 0-2 | Gamma Ethniki - Group 7 |
| Sep 29, 2019 | Pellana(home) | 0-0 | Gamma Ethniki - Group 7 |
| Sep 22, 2019 | Tsilivi(home) | 2-1 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Tsilivi(home) | 2-4 | Gamma Ethniki - Group 7 |
| Oct 13, 2019 | Panargiakos(away) | 1-0 | Gamma Ethniki - Group 7 |
| Oct 6, 2019 | Pangytheatikos(away) | 0-1 | Gamma Ethniki - Group 7 |
| Sep 29, 2019 | Zakynthos(home) | 4-0 | Gamma Ethniki - Group 7 |
| Sep 22, 2019 | Nafplio 2017(away) | 0-1 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Diagoras Vrachneika score 1.5 and concede 1.5 goals per match over their last 6; Thyella Patras score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diagoras Vrachneika | 1.5 | 1.5 | 1 | 3/6 | 3/6 |
| Thyella Patras | 1.4 | 1.2 | 2 | 1/5 | 2/5 |
Over the last 6 matches in all competitions.
A question about Diagoras Vrachneika vs Thyella Patras?
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