Diavolitsi vs Tsilivi: result 0-2 and analysis
Gamma Ethniki - Group 7Group 7 - 19Kick-off on February 9, 2020 at 01:00 PM (UTC)Dimotiko Gipedo Vrachnéikon, Vrachneika
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What was the result of Diavolitsi vs Tsilivi?
Tsilivi won 0-2 on February 9, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diavolitsi have 6 wins, 5 draws and 4 defeats; Tsilivi 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 |
|---|---|---|---|
| Feb 2, 2020 | Panargiakos(home) | 2-1 | Gamma Ethniki - Group 7 |
| Jan 26, 2020 | Pangytheatikos(away) | 1-2 | Gamma Ethniki - Group 7 |
| Jan 19, 2020 | Zakynthos(home) | 1-1 | Gamma Ethniki - Group 7 |
| Jan 12, 2020 | Nafplio 2017(away) | 0-1 | Gamma Ethniki - Group 7 |
| Jan 5, 2020 | Asteras Vlachioti(home) | 0-0 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2020 | Thyella Patras(home) | 2-1 | Gamma Ethniki - Group 7 |
| Jan 26, 2020 | Paniliakos(away) | 0-0 | Gamma Ethniki - Group 7 |
| Jan 19, 2020 | Ermionida(home) | 2-1 | Gamma Ethniki - Group 7 |
| Jan 12, 2020 | Olympiakos Zacharo(away) | 0-2 | Gamma Ethniki - Group 7 |
| Jan 5, 2020 | Diagoras Vrachneika(home) | 1-0 | Gamma Ethniki - Group 7 |
What does the head-to-head say?
Across the last 1 meetings: 0 Diavolitsi win(s), 0 draw(s), 1 Tsilivi win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2019 | Tsilivi 2-1 Diavolitsi | Gamma Ethniki - Group 7 |
Last archived meeting: Tsilivi vs Diavolitsi on Oct 27, 2019
How many goals should we expect?
Diavolitsi score 1.1 and concede 0.8 goals per match over their last 15; Tsilivi score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diavolitsi | 1.1 | 0.8 | 6 | 7/15 | 6/15 |
| Tsilivi | 1.5 | 1.3 | 3 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy