Ialysos vs Ermionida: result 1-0 and analysis
Gamma Ethniki - Group 4Group 4 - 16Kick-off on February 26, 2023 at 01:00 PM (UTC)Gipedo Ialysos, Ialyssos, Rhodes
Full time
What was the result of Ialysos vs Ermionida?
Ialysos won 1-0 on February 26, 2023.
Goalscorers
- 89′?Ialysos (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ialysos have 4 wins, 4 draws and 7 defeats; Ermionida have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2023 | Panionios(home) | 0-0 | Gamma Ethniki - Group 4 |
| Feb 12, 2023 | Aiolikos(away) | 1-2 | Gamma Ethniki - Group 4 |
| Feb 4, 2023 | APS Patrai(away) | 1-1 | Gamma Ethniki - Group 4 |
| Jan 29, 2023 | Diavolitsi(home) | 2-1 | Gamma Ethniki - Group 4 |
| Jan 22, 2023 | AE Mykonos(away) | 1-3 | Gamma Ethniki - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2023 | Pangytheatikos(home) | 3-0 | Gamma Ethniki - Group 4 |
| Feb 12, 2023 | Panionios(away) | 1-4 | Gamma Ethniki - Group 4 |
| Feb 8, 2023 | Paniliakos(home) | 6-3 | Gamma Ethniki - Group 4 |
| Feb 4, 2023 | Aiolikos(away) | 0-3 | Gamma Ethniki - Group 4 |
| Jan 29, 2023 | Foinikas N. Epidavrou(home) | 2-0 | Gamma Ethniki - Group 4 |
What does the head-to-head say?
In the last meeting: 0 Ialysos wins, 0 draws, 1 Ermionida win.
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2022 | Ermionida 2-1 Ialysos | Gamma Ethniki - Group 4 |
How many goals should we expect?
Ialysos score 1.2 and concede 1.6 goals per match over their last 15; Ermionida score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ialysos | 1.2 | 1.6 | 2 | 11/15 | 9/15 |
| Ermionida | 1.4 | 1.2 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Ialysos vs Ermionida?
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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