Pamisos Messini vs Zakynthos: result 0-1 and analysis
Gamma Ethniki - Group 9Group 9 - 12Kick-off on June 19, 2021 at 01:00 PM (UTC)Dimotiko Stadio Messini, Messini
Full time
What was the result of Pamisos Messini vs Zakynthos?
Zakynthos won 0-1 on June 19, 2021.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Pamisos Messini have 3 wins, 3 draws and 4 defeats; Zakynthos have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2021 | Diavolitsi(away) | 2-0 | Gamma Ethniki - Group 9 |
| May 23, 2021 | Diagoras Vrachneika(home) | 1-2 | Gamma Ethniki - Group 9 |
| May 16, 2021 | Achaiki(away) | 0-2 | Gamma Ethniki - Group 9 |
| May 9, 2021 | Panegialios(home) | 0-1 | Gamma Ethniki - Group 9 |
| Apr 25, 2021 | Pallixouriakos(home) | 0-0 | Gamma Ethniki - Group 9 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2021 | Thyella Patras(away) | 3-2 | Gamma Ethniki - Group 9 |
| Jun 6, 2021 | Pallixouriakos(home) | 2-1 | Gamma Ethniki - Group 9 |
| May 16, 2021 | Nafpaktiakos(home) | 1-0 | Gamma Ethniki - Group 9 |
| Apr 25, 2021 | PAO Vardas(away) | 1-1 | Gamma Ethniki - Group 9 |
| Apr 18, 2021 | Tsilivi(home) | 1-0 | Gamma Ethniki - Group 9 |
How many goals should we expect?
Pamisos Messini score 0.7 and concede 0.8 goals per match over their last 10; Zakynthos score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pamisos Messini | 0.7 | 0.8 | 5 | 3/10 | 2/10 |
| Zakynthos | 1.5 | 0.9 | 3 | 10/15 | 6/15 |
Over the last 10 matches in all competitions.
A question about Pamisos Messini vs Zakynthos?
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