Panionios vs PAOK: result 1-2 and analysis
Super League 1Regular Season - 3Kick-off on September 18, 2011 at 03:15 PM (UTC)Stadio Néas Smírnis, Athens
Full time
What was the result of Panionios vs PAOK?
PAOK won 1-2 on September 18, 2011.
Goalscorers
- 16′S. AthanasiadisPAOK
- 35′F. EstoyanoffPanionios
- 64′D. SalpingidisPAOK
Official lineup for Panionios vs PAOK
The starting elevens fielded at kick-off.
Panionios
- 9N. Kuqi
- 10F. Estoyanoff
- 6Souleiman Akim Omolade
- 15B. Kumordzi
- 20F. Goundoulakis
- 22A. Samaris
- 2D. Kvirkvelia
- 4Per Markus Jonsson
- 23D. Siovas
- 26E. Cocalić
- 21Dimitrios Eleftheropoulos
PAOK
- 9D. Salpingidis
- 33S. Athanasiadis
- 5Pablo Gabriel García Pérez
- 18G. Fotakis
- 20Vieirinha
- 21V. Ivić
- 13S. Malezas
- 15P. Contreras
- 16Lino
- 77Etto
- 91D. Kresic
What is the recent form of both teams?
Over their last 2 matches in all competitions, Panionios have 1 win, 1 draw and 0 defeats; PAOK have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2011 | Panetolikos(away) | 1-0 | Super League 1 |
| Aug 28, 2011 | Ergotelis(home) | 2-2 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2011 | Ergotelis(away) | 1-2 | Super League 1 |
| Aug 28, 2011 | Xanthi FC(home) | 1-0 | Super League 1 |
How many goals should we expect?
Panionios score 1.5 and concede 1.0 goals per match over their last 2; PAOK score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Panionios | 1.5 | 1.0 | 1 | 1/2 | 1/2 |
| PAOK | 1.0 | 1.0 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | PAOK | 6 | 4 | 0 | 2 | 13 | 8 | 12 |
A question about Panionios vs PAOK?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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