Panegialios vs Panthouriakos: result 1-0 and analysis
Gamma Ethniki - Group 4Group 4 · Matchday 3Kick-off on October 5, 2025 at 01:00 PM (UTC)Ethniko Stadio Aigio, Aigio
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What was the result of Panegialios vs Panthouriakos?
Panegialios won 1-0 on October 5, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Panegialios have 5 wins, 2 draws and 8 defeats; Panthouriakos have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2025 | Zakynthos(away) | 0-2 | Gamma Ethniki - Group 4 |
| Sep 21, 2025 | Pyrgos 1968(home) | 1-1 | Gamma Ethniki - Group 4 |
| Apr 16, 2025 | Pangytheatikos(away) | 1-2 | Gamma Ethniki - Group 3 |
| Apr 13, 2025 | Ellas Syros(home) | 0-1 | Gamma Ethniki - Group 3 |
| Apr 8, 2025 | Rodos(away) | 2-0 | Gamma Ethniki - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | Thyella Patras(home) | 0-0 | Gamma Ethniki - Group 4 |
| Sep 21, 2025 | Pelopas Kiatou(away) | 0-1 | Gamma Ethniki - Group 4 |
| Aug 31, 2022 | Diagoras Vrachneika(home) | 0-1 | Cup |
How many goals should we expect?
Panegialios score 1.1 and concede 1.2 goals per match over their last 15; Panthouriakos score 0.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panegialios | 1.1 | 1.2 | 4 | 6/15 | 5/15 |
| Panthouriakos | 0.0 | 0.7 | 1 | 0/3 | 0/3 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Panegialios sit 3rd in Gamma Ethniki - Group 4 (50 points from 22 matches) and Panthouriakos sit 7th (28 points from 22 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Panegialios | 22 | 15 | 5 | 2 | 40 | 15 | 50 |
| 7 | Panthouriakos | 22 | 7 | 7 | 8 | 29 | 25 | 28 |
A question about Panegialios vs Panthouriakos?
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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