Iraklis Psachna vs Giannitsa: result 1-2 and analysis
Football LeagueRegular Season - 4Kick-off on November 19, 2011 at 03:00 PM (UTC)Dimotiko Stadio Psachna, Psachna
Full time
What was the result of Iraklis Psachna vs Giannitsa?
Giannitsa won 1-2 on November 19, 2011.
Goalscorers
- 60′Giorgos PapadopoulosGiannitsa
- 71′V. DelekosIraklis Psachna
- 84′G. KiziridisGiannitsa
Official lineup for Iraklis Psachna vs Giannitsa
The starting elevens fielded at kick-off.
Iraklis Psachna
- 10M. Segos
- 23K. Pangalos
- 7D. Zouliotis
- 21H. Telkiyski
- 28Sotirios Tsatsos
- 39Antonis Liosis
- 50Luis Miguel Aparecido Alves
- 4Panagiotis Bakomitros
- 25Thanassis Repetsas
- 31Dimitris Parianos
- 27Athanasios Tolios
Giannitsa
- 11Antonis Giondis
- 25Giorgos Tsilis
- 27R. Beka
- 2Giorgos Papadopoulos
- 6G. Seretis
- 10G. Kiziridis
- 13German Datidis
- 22V. Baxevanou
- 4T. Tellos
- 21D. Spatharas
- 33P. Vosniadis
What is the recent form of both teams?
Over their last 2 matches in all competitions, Iraklis Psachna have 0 wins, 1 draw and 1 defeat; Giannitsa have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2011 | Anagennisi Epanomis(away) | 0-1 | Football League |
| Nov 4, 2011 | Ethnikos Asteras(home) | 0-0 | Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2011 | Fokikos(away) | 1-0 | Football League |
| Oct 30, 2011 | Thrasyvoulos(away) | 1-0 | Football League |
How many goals should we expect?
Iraklis Psachna score 0.0 and concede 0.5 goals per match over their last 2; Giannitsa score 1.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iraklis Psachna | 0.0 | 0.5 | 1 | 0/2 | 0/2 |
| Giannitsa | 1.0 | 0.0 | 2 | 0/2 | 0/2 |
Over the last 2 matches in all competitions.
A question about Iraklis Psachna vs Giannitsa?
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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