Schwechat vs Stadlau: result 0-2 and analysis
Regionalliga - OstRegular Season - 25Kick-off on April 28, 2017 at 06:00 PM (UTC)Rudolf-Tonn-Stadion, Schwechat
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What was the result of Schwechat vs Stadlau?
Stadlau won 0-2 on April 28, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Schwechat have 3 wins, 4 draws and 8 defeats; Stadlau have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2017 | Austria Vienna (Am)(away) | 0-0 | Regionalliga - Ost |
| Apr 14, 2017 | Mannsdorf-Großenzersdorf(home) | 0-1 | Regionalliga - Ost |
| Apr 7, 2017 | Neusiedl(away) | 0-3 | Regionalliga - Ost |
| Mar 31, 2017 | Ebreichsdorf(home) | 1-0 | Regionalliga - Ost |
| Mar 24, 2017 | Admira II(away) | 1-0 | Regionalliga - Ost |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Parndorf(home) | 0-0 | Regionalliga - Ost |
| Apr 15, 2017 | Ritzing(away) | 2-0 | Regionalliga - Ost |
| Apr 8, 2017 | Traiskirchen(home) | 0-1 | Regionalliga - Ost |
| Mar 31, 2017 | Wiener SK(away) | 1-1 | Regionalliga - Ost |
| Mar 24, 2017 | SKU Amstetten(away) | 1-1 | Regionalliga - Ost |
What does the head-to-head say?
Across the last 3 meetings: 1 Schwechat win(s), 1 draw(s), 1 Stadlau win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | Stadlau 5-0 Schwechat | Regionalliga - Ost |
| Mar 5, 2016 | Stadlau 1-1 Schwechat | Regionalliga - Ost |
| Aug 7, 2015 | Schwechat 1-0 Stadlau | Regionalliga - Ost |
How many goals should we expect?
Schwechat score 0.7 and concede 2.1 goals per match over their last 15; Stadlau score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Schwechat | 0.7 | 2.1 | 3 | 6/15 | 8/15 |
| Stadlau | 1.3 | 0.9 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy