Tsilivi vs Diavolitsi: result 0-1 and analysis
Gamma Ethniki - Group 9Group 9 - 5Kick-off on April 11, 2021 at 11:00 AM (UTC)Dimotiko Stadio Zakynthos, Zakynthos
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What was the result of Tsilivi vs Diavolitsi?
Diavolitsi won 0-1 on April 11, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tsilivi have 4 wins, 3 draws and 8 defeats; Diavolitsi have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Diagoras Vrachneika(away) | 0-4 | Gamma Ethniki - Group 9 |
| Oct 25, 2020 | Achaiki(home) | 0-0 | Gamma Ethniki - Group 9 |
| Oct 18, 2020 | Pamisos Messini(home) | 0-1 | Gamma Ethniki - Group 9 |
| Oct 11, 2020 | Pallixouriakos(away) | 1-3 | Gamma Ethniki - Group 9 |
| Feb 29, 2020 | Nafplio 2017(away) | 1-2 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Zakynthos(home) | 0-2 | Gamma Ethniki - Group 9 |
| Oct 11, 2020 | Panegialios(away) | 1-2 | Gamma Ethniki - Group 9 |
| Mar 8, 2020 | Paniliakos(home) | 4-1 | Gamma Ethniki - Group 7 |
| Feb 29, 2020 | Ermionida(away) | 0-1 | Gamma Ethniki - Group 7 |
| Feb 23, 2020 | Olympiakos Zacharo(home) | 3-1 | Gamma Ethniki - Group 7 |
What does the head-to-head say?
Across the last 2 meetings: 2 Tsilivi wins, 0 draws, 0 Diavolitsi wins.
| Date | Score | Competition |
|---|---|---|
| Feb 9, 2020 | Diavolitsi 0-2 Tsilivi | Gamma Ethniki - Group 7 |
| Oct 27, 2019 | Tsilivi 2-1 Diavolitsi | Gamma Ethniki - Group 7 |
How many goals should we expect?
Tsilivi score 0.9 and concede 1.5 goals per match over their last 15; Diavolitsi score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tsilivi | 0.9 | 1.5 | 4 | 7/15 | 8/15 |
| Diavolitsi | 1.3 | 1.3 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
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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