Scheiblingkirchen vs Waidhofen / Thaya: result 2-0 and analysis
Landesliga - NiederosterreichNiederösterreich - 11Kick-off on October 12, 2019 at 01:30 PM (UTC)Pittentalstadion, Scheiblingkirchen
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What was the result of Scheiblingkirchen vs Waidhofen / Thaya?
Scheiblingkirchen won 2-0 on October 12, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Scheiblingkirchen have 4 wins, 2 draws and 5 defeats; Waidhofen / Thaya have 1, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2019 | Zwettl(away) | 0-2 | Landesliga - Niederosterreich |
| Sep 27, 2019 | Krems(home) | 1-0 | Landesliga - Niederosterreich |
| Sep 20, 2019 | Kottingbrunn(away) | 1-2 | Landesliga - Niederosterreich |
| Sep 14, 2019 | Retz(away) | 1-1 | Landesliga - Niederosterreich |
| Sep 8, 2019 | Langenrohr(home) | 2-2 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2019 | Retz(home) | 0-5 | Landesliga - Niederosterreich |
| 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 |
How many goals should we expect?
Scheiblingkirchen score 1.5 and concede 1.8 goals per match over their last 11; Waidhofen / Thaya score 1.3 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Scheiblingkirchen | 1.5 | 1.8 | 2 | 6/11 | 7/11 |
| Waidhofen / Thaya | 1.3 | 2.7 | 1 | 7/10 | 8/10 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Scheiblingkirchen | 27 | 16 | 8 | 3 | 59 | 25 | 56 |
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