Tsilivi vs Diavolitsi: result 2-1 and analysis
Gamma Ethniki - Group 7Group 7 - 6Kick-off on October 27, 2019 at 12:00 PM (UTC)Dimotiko Stadio Zakynthos, Zakynthos
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What was the result of Tsilivi vs Diavolitsi?
Tsilivi won 2-1 on October 27, 2019.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Tsilivi have 2 wins, 1 draw and 2 defeats; Diavolitsi have 1, 1 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 | Thyella Patras(away) | 4-2 | Gamma Ethniki - Group 7 |
| Oct 13, 2019 | Paniliakos(home) | 1-1 | Gamma Ethniki - Group 7 |
| Oct 6, 2019 | Ermionida(away) | 2-3 | Gamma Ethniki - Group 7 |
| Sep 29, 2019 | Olympiakos Zacharo(home) | 3-1 | Gamma Ethniki - Group 7 |
| Sep 22, 2019 | Diagoras Vrachneika(away) | 1-2 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Panargiakos(away) | 0-0 | Gamma Ethniki - Group 7 |
| Oct 13, 2019 | Pangytheatikos(home) | 2-1 | Gamma Ethniki - Group 7 |
| Oct 6, 2019 | Zakynthos(away) | 1-2 | Gamma Ethniki - Group 7 |
| Sep 29, 2019 | Nafplio 2017(home) | 2-3 | Gamma Ethniki - Group 7 |
| Sep 22, 2019 | Asteras Vlachioti(away) | 0-2 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Tsilivi score 2.2 and concede 1.8 goals per match over their last 5; Diavolitsi score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tsilivi | 2.2 | 1.8 | 0 | 5/5 | 4/5 |
| Diavolitsi | 1.0 | 1.6 | 1 | 3/5 | 3/5 |
Over the last 5 matches in all competitions.
A question about Tsilivi vs Diavolitsi?
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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