SV Horn vs Stadlau: result 1-1 and analysis
Regionalliga - OstRegular Season - 10Kick-off on October 2, 2015 at 05:30 PM (UTC)Sparkasse Horn Arena, Horn
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What was the result of SV Horn vs Stadlau?
SV Horn and Stadlau drew 1-1 on October 2, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, SV Horn have 7 wins, 3 draws and 5 defeats; Stadlau have 6, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2015 | Ebreichsdorf(home) | 2-0 | Regionalliga - Ost |
| Sep 22, 2015 | Red Bull Salzburg(home) | 2-3 | Cup |
| Sep 18, 2015 | Austria Vienna (Am)(away) | 2-3 | Regionalliga - Ost |
| Sep 11, 2015 | Admira II(home) | 2-0 | Regionalliga - Ost |
| Sep 4, 2015 | Neusiedl(away) | 0-0 | Regionalliga - Ost |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2015 | Austria Vienna (Am)(home) | 1-1 | Regionalliga - Ost |
| Sep 22, 2015 | Austria Klagenfurt(home) | 2-1 | Cup |
| Sep 19, 2015 | Admira II(away) | 1-0 | Regionalliga - Ost |
| Sep 12, 2015 | Neusiedl(home) | 1-1 | Regionalliga - Ost |
| Sep 4, 2015 | SKU Amstetten(away) | 1-1 | Regionalliga - Ost |
How many goals should we expect?
SV Horn score 1.7 and concede 1.1 goals per match over their last 15; Stadlau score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SV Horn | 1.7 | 1.1 | 6 | 7/15 | 7/15 |
| Stadlau | 1.5 | 0.7 | 3 | 7/11 | 4/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | SV Horn | 12 | 3 | 2 | 7 | 14 | 17 | 11 |
A question about SV Horn vs Stadlau?
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