Treibach vs WSG Wattens: result 1-2 and analysis
Cup1st RoundKick-off on July 19, 2019 at 04:30 PM (UTC)Turnerwald-Stadion, Althofen
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What was the result of Treibach vs WSG Wattens?
WSG Wattens won 1-2 on July 19, 2019.
Goalscorers
- 49′Z. DedičWSG Wattens
- 85′K. NitzlnaderWSG Wattens
- 90′K. VaschaunerTreibach (pen.)
Official lineup for Treibach vs WSG Wattens
The starting elevens fielded at kick-off.
Treibach
- AArno Paul Kozelsky
- KK. Vaschauner
- DDaniel Billy Kreuzer
- JJ. Salentinig
- DD. Hude
- DD. Ponjavić
- JJ. Warmuth
- FFlorian Philipp Wieser
- HH. Wachernig
- PP. Höberl
- RRene Obmann
WSG Wattens
- 7Benjamin Pranter
- 16F. Rieder
- 22Z. Dedič
- 42F. Mader
- 4D. Gugganig
- 8K. Nitzlnader
- 13Ione Agonay Jiménez Cabrera
- 14J. Gölles
- 34S. Hager
- 46L. Grgić
- 1Pascal Grünwald
What is the recent form of both teams?
Over their last 2 matches in all competitions, Treibach have 0 wins, 0 draws and 2 defeats; WSG Wattens have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 15, 2016 | First Vienna(away) | 0-6 | Cup |
| Jul 23, 2011 | Austria Klagenfurt(away) | 0-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2019 | SV Horn(away) | 3-1 | 2. Liga |
| May 29, 2019 | Austria Lustenau(home) | 1-0 | 2. Liga |
| May 24, 2019 | FC Liefering(away) | 2-1 | 2. Liga |
| May 19, 2019 | SKU Amstetten(home) | 3-1 | 2. Liga |
| May 10, 2019 | Lask Juniors Linz(away) | 2-1 | 2. Liga |
How many goals should we expect?
Treibach score 0.0 and concede 4.5 goals per match over their last 2; WSG Wattens score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Treibach | 0.0 | 4.5 | 0 | 0/2 | 2/2 |
| WSG Wattens | 1.8 | 1.1 | 3 | 11/15 | 9/15 |
Over the last 2 matches in all competitions.
A question about Treibach vs WSG Wattens?
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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