Panargiakos vs Zakynthos: result 0-0 and analysis
Gamma Ethniki - Group 7Group 7 - 9Kick-off on November 16, 2019 at 12:00 PM (UTC)Dimotiko Athlitiko Kentro Argous-Mykinon, Argos
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What was the result of Panargiakos vs Zakynthos?
Panargiakos and Zakynthos drew 0-0 on November 16, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Panargiakos have 0 wins, 4 draws and 5 defeats; Zakynthos have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Nafplio 2017(away) | 1-3 | Gamma Ethniki - Group 7 |
| Nov 3, 2019 | Asteras Vlachioti(home) | 0-1 | Gamma Ethniki - Group 7 |
| Oct 27, 2019 | PAO Vardas(away) | 1-1 | Gamma Ethniki - Group 7 |
| Oct 20, 2019 | Diavolitsi(home) | 0-0 | Gamma Ethniki - Group 7 |
| Oct 13, 2019 | Thyella Patras(home) | 0-1 | Gamma Ethniki - Group 7 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2019 | Pangytheatikos(home) | 0-1 | Gamma Ethniki - Group 7 |
| Nov 3, 2019 | Pellana(away) | 1-0 | Gamma Ethniki - Group 7 |
| Oct 27, 2019 | Nafplio 2017(away) | 0-1 | Gamma Ethniki - Group 7 |
| Oct 20, 2019 | Asteras Vlachioti(home) | 2-1 | Gamma Ethniki - Group 7 |
| Oct 13, 2019 | PAO Vardas(away) | 1-1 | Gamma Ethniki - Group 7 |
How many goals should we expect?
Panargiakos score 0.2 and concede 1.3 goals per match over their last 9; Zakynthos score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panargiakos | 0.2 | 1.3 | 3 | 2/9 | 2/9 |
| Zakynthos | 0.7 | 1.1 | 4 | 3/15 | 4/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Panargiakos | 2 | 0 | 2 | 0 | 1 | 1 | 2 |
A question about Panargiakos vs Zakynthos?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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