Iraklis Psachna vs Amvrysseas: result 4-1 and analysis
Gamma Ethniki - Group 4Group 4 - 11Kick-off on June 6, 2021 at 02:00 PM (UTC)Dimotiko Stadio Psachna, Psachna
Full time
What was the result of Iraklis Psachna vs Amvrysseas?
Iraklis Psachna won 4-1 on June 6, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iraklis Psachna have 6 wins, 6 draws and 3 defeats; Amvrysseas have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2021 | Thiseas Agria(away) | 1-3 | Gamma Ethniki - Group 4 |
| May 16, 2021 | Ipato(away) | 0-0 | Gamma Ethniki - Group 4 |
| May 9, 2021 | Dimitra Efxeinoupolis(home) | 1-0 | Gamma Ethniki - Group 4 |
| Apr 25, 2021 | Nea Artaki(away) | 1-1 | Gamma Ethniki - Group 4 |
| Apr 18, 2021 | Opountios(home) | 3-0 | Gamma Ethniki - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2021 | Atalanti(home) | 1-3 | Gamma Ethniki - Group 4 |
| May 9, 2021 | Diagoras Stefanovik(home) | 1-0 | Gamma Ethniki - Group 4 |
| May 5, 2021 | Dimitra Efxeinoupolis(away) | 0-0 | Gamma Ethniki - Group 4 |
| Apr 25, 2021 | Fokikos(away) | 1-0 | Gamma Ethniki - Group 4 |
| Apr 18, 2021 | Thiseas Agria(away) | 0-1 | Gamma Ethniki - Group 4 |
How many goals should we expect?
Iraklis Psachna score 1.3 and concede 0.9 goals per match over their last 15; Amvrysseas score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iraklis Psachna | 1.3 | 0.9 | 7 | 8/15 | 5/15 |
| Amvrysseas | 0.8 | 0.8 | 6 | 2/9 | 2/9 |
Over the last 15 matches in all competitions.
A question about Iraklis Psachna vs Amvrysseas?
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