Grazer AK vs SV Horn: result 0-0 and analysis
2. LigaRegular Season - 3Kick-off on August 9, 2019 at 05:10 PM (UTC)Merkur Arena, Graz
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What was the result of Grazer AK vs SV Horn?
Grazer AK and SV Horn drew 0-0 on August 9, 2019.
Official lineup for Grazer AK vs SV Horn
The starting elevens fielded at kick-off.
Grazer AK
- 28A. Rother
- 2T. Zündel
- 8G. Nutz
- 10D. Hackinger
- 13M. Perchtold
- 16P. Kozissnik
- 27B. Rosenberger
- 32A. Bauer
- 15L. Graf
- 19M. Gantschnig
- 44P. Haider
SV Horn
- 7Mario Stefel
- 9E. Kara
- 13M. Cheukoua
- 8F. Sittsam
- 10F. Faletar
- 25M. Toth
- 27J. Bauer
- 12L. Malicsek
- 16C. Haselberger
- 52T. Salamon
- 1S. Gessl
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grazer AK have 9 wins, 2 draws and 4 defeats; SV Horn have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2019 | FC BW Linz(home) | 2-0 | 2. Liga |
| Jul 28, 2019 | Floridsdorfer AC(away) | 0-2 | 2. Liga |
| Jul 20, 2019 | Neusiedl(away) | 6-1 | Cup |
| Jun 7, 2019 | Stadl-Paura(home) | 1-1 | Regionalliga - Mitte |
| May 31, 2019 | Hertha(away) | 1-2 | Regionalliga - Mitte |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2019 | Floridsdorfer AC(home) | 2-2 | 2. Liga |
| Jul 26, 2019 | Austria Vienna (Am)(away) | 5-1 | 2. Liga |
| Jul 20, 2019 | Traiskirchen(away) | 5-1 | Cup |
| Jun 1, 2019 | WSG Wattens(home) | 1-3 | 2. Liga |
| May 29, 2019 | SV Kapfenberg(away) | 0-3 | 2. Liga |
How many goals should we expect?
Grazer AK score 2.1 and concede 1.2 goals per match over their last 15; SV Horn score 1.7 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grazer AK | 2.1 | 1.2 | 6 | 7/15 | 8/15 |
| SV Horn | 1.7 | 2.0 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Grazer AK vs SV Horn?
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