Waidhofen / Thaya vs Retz: result 0-5 and analysis
Landesliga - NiederosterreichNiederösterreich - 10Kick-off on October 4, 2019 at 05:30 PM (UTC)Birkenstadion, Waidhofen/Thaya
Full time
What was the result of Waidhofen / Thaya vs Retz?
Retz won 0-5 on October 4, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Waidhofen / Thaya have 1 win, 5 draws and 3 defeats; Retz have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2019 | Langenrohr(away) | 1-4 | Landesliga - Niederosterreich |
| Sep 20, 2019 | Kilb(home) | 2-2 | Landesliga - Niederosterreich |
| Sep 13, 2019 | St. Pölten II(away) | 0-4 | Landesliga - Niederosterreich |
| Sep 6, 2019 | Schrems(home) | 1-1 | Landesliga - Niederosterreich |
| Aug 30, 2019 | USC Rohrbach(away) | 2-2 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Zwettl(home) | 4-3 | Landesliga - Niederosterreich |
| Sep 20, 2019 | Krems(away) | 1-0 | Landesliga - Niederosterreich |
| Sep 14, 2019 | Scheiblingkirchen(home) | 1-1 | Landesliga - Niederosterreich |
| Sep 6, 2019 | Kottingbrunn(away) | 0-5 | Landesliga - Niederosterreich |
| Sep 1, 2019 | Langenrohr(away) | 0-0 | Landesliga - Niederosterreich |
How many goals should we expect?
Waidhofen / Thaya score 1.4 and concede 2.4 goals per match over their last 9; Retz score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Waidhofen / Thaya | 1.4 | 2.4 | 1 | 7/9 | 7/9 |
| Retz | 1.5 | 1.7 | 5 | 8/15 | 9/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Retz | 30 | 22 | 3 | 5 | 70 | 23 | 69 |
A question about Waidhofen / Thaya vs Retz?
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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