Xanthi FC vs OFI: result 3-1 and analysis
Super League 1Regular Season - 4Kick-off on September 25, 2011 at 01:00 PM (UTC)Xanthi FC Arena, Pigadia
Full time
What was the result of Xanthi FC vs OFI?
Xanthi FC won 3-1 on September 25, 2011.
Goalscorers
- 40′T. VasilakakisXanthi FC
- 51′259233Xanthi FC
- 65′Zeljko KalajdzicOFI (pen.)
- 90′Dimitrios SouanisXanthi FC
Official lineup for Xanthi FC vs OFI
The starting elevens fielded at kick-off.
Xanthi FC
- 7M. Poy
- 10M. Markovski
- 11Marcelo Leite Pereira
- 16T. Vasilakakis
- 70E. Dică
- 15B. Mara
- 44M. Stasiak
- 4Manolis Bertos
- 6Edimar
- 25S. Vallas
- 1J. Viviani
OFI
- 19L. Kampantais
- 2A. Galanopoulos
- 16Zeljko Kalajdzic
- 25F. Papoulis
- 86Marinaldo Cícero da Silva
- 88Jordi López Felpeto
- 1R. Verón
- 4E. Tavlaridis
- 8M. Pitsos
- 23G. Georgiou
- 21R. Carroll
What is the recent form of both teams?
Over their last 3 matches in all competitions, Xanthi FC have 0 wins, 0 draws and 3 defeats; OFI have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2011 | AEK Athens FC(home) | 3-4 | Super League 1 |
| Sep 18, 2011 | Olympiakos Piraeus(away) | 1-2 | Super League 1 |
| Aug 28, 2011 | PAOK(away) | 0-1 | Super League 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2011 | Atromitos(home) | 1-1 | Super League 1 |
How many goals should we expect?
Xanthi FC score 1.3 and concede 2.3 goals per match over their last 3; OFI score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Xanthi FC | 1.3 | 2.3 | 0 | 2/3 | 2/3 |
| OFI | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | OFI | 8 | 4 | 1 | 3 | 13 | 12 | 13 |
A question about Xanthi FC vs OFI?
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