Cukaricki vs Grödig: result 0-4 and analysis
UEFA Europa League2nd Qualifying RoundKick-off on July 17, 2014 at 07:05 PM (UTC)Stadion na Banovom brdu, Beograd
Full time
What was the result of Cukaricki vs Grödig?
Grödig won 0-4 on July 17, 2014.
Goalscorers
- 37′S. NutzGrödig
- 80′D. SchützGrödig
- 85′D. SchützGrödig
- 90′S. NutzGrödig
Official lineup for Cukaricki vs Grödig
The starting elevens fielded at kick-off.
Cukaricki
- 9Nikola Stojiljković
- 10Igor Matić
- 30Nenad Mirosavljevic
- 6D. Srnić
- 8I. Todorović
- 14S. Srnić
- 4Lucas Piasentin
- 17N. Janković
- 23Bojan Ostojić
- 31R. Brežančić
- 1B. Ristić
Grödig
- 9Tomás Esteban Correa Miranda
- 17Y. Reyna
- 5T. Brauer
- 18P. Huspek
- 22S. Nutz
- 23S. Boller
- 3M. Karner
- 7S. Handle
- 12R. Strobl
- 31M. Maak
- 1C. Stanković
What is the recent form of both teams?
Over their last 2 matches in all competitions, Cukaricki have 1 win, 1 draw and 0 defeats; Grödig have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2014 | UE Sant Julia(away) | 0-0 | UEFA Europa League |
| Jul 3, 2014 | UE Sant Julia(home) | 4-0 | UEFA Europa League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2014 | Leobendorf(away) | 7-1 | Cup |
| May 11, 2014 | Wacker Innsbruck(away) | 3-3 | Bundesliga |
| May 4, 2014 | Austria Vienna(home) | 2-1 | Bundesliga |
| Apr 26, 2014 | SC Wiener Neustadt(away) | 3-1 | Bundesliga |
| Apr 20, 2014 | Rapid Vienna(home) | 2-2 | Bundesliga |
How many goals should we expect?
Cukaricki score 2.0 and concede 0.0 goals per match over their last 2; Grödig score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cukaricki | 2.0 | 0.0 | 2 | 0/2 | 1/2 |
| Grödig | 1.9 | 1.9 | 2 | 10/15 | 12/15 |
Over the last 2 matches in all competitions.
A question about Cukaricki vs Grödig?
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