Giannitsa vs Iraklis Ampelokipon: result 3-2 and analysis
Gamma Ethniki - Group 2Group 2 - 22Kick-off on April 6, 2022 at 01:00 PM (UTC)Stadio Giannitsou, Giannitsa
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What was the result of Giannitsa vs Iraklis Ampelokipon?
Giannitsa won 3-2 on April 6, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Giannitsa have 2 wins, 3 draws and 10 defeats; Iraklis Ampelokipon have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2022 | Poseidon Nea Michaniona(away) | 0-2 | Gamma Ethniki - Group 2 |
| Mar 30, 2022 | Makedonikos Neapolis(home) | 0-2 | Gamma Ethniki - Group 2 |
| Mar 27, 2022 | Lefkimmi(away) | 0-2 | Gamma Ethniki - Group 2 |
| Mar 23, 2022 | Pontion Karagiannion(home) | 0-2 | Gamma Ethniki - Group 2 |
| Mar 6, 2022 | M. Alexandros Trikala(away) | 0-2 | Gamma Ethniki - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2022 | Agios Matthaios(away) | 2-2 | Gamma Ethniki - Group 2 |
| Mar 30, 2022 | Kozani(home) | 0-1 | Gamma Ethniki - Group 2 |
| Mar 27, 2022 | Edessaikos(away) | 1-4 | Gamma Ethniki - Group 2 |
| Mar 23, 2022 | Thyella Sarakinoi(home) | 0-3 | Gamma Ethniki - Group 2 |
| Mar 13, 2022 | Asteras Kalirachis(away) | 2-1 | Gamma Ethniki - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 1 Giannitsa win(s), 0 draw(s), 0 Iraklis Ampelokipon win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2022 | Iraklis Ampelokipon 0-2 Giannitsa | Gamma Ethniki - Group 2 |
Last archived meeting: Iraklis Ampelokipon vs Giannitsa on Jan 16, 2022
How many goals should we expect?
Giannitsa score 0.5 and concede 1.3 goals per match over their last 15; Iraklis Ampelokipon score 0.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Giannitsa | 0.5 | 1.3 | 3 | 3/15 | 1/15 |
| Iraklis Ampelokipon | 0.8 | 2.0 | 1 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy