Scheiblingkirchen vs Spratzern: result 4-0 and analysis
Landesliga - NiederosterreichNiederösterreich - 15Kick-off on November 8, 2019 at 06:30 PM (UTC)Pittentalstadion, Scheiblingkirchen
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What was the result of Scheiblingkirchen vs Spratzern?
Scheiblingkirchen won 4-0 on November 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Scheiblingkirchen have 6 wins, 4 draws and 5 defeats; Spratzern have 2, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Mannersdorf(away) | 1-1 | Landesliga - Niederosterreich |
| Oct 26, 2019 | Ardagger(home) | 1-1 | Landesliga - Niederosterreich |
| Oct 19, 2019 | Gaflenz(away) | 5-1 | Landesliga - Niederosterreich |
| Oct 12, 2019 | Waidhofen / Thaya(home) | 2-0 | Landesliga - Niederosterreich |
| Oct 4, 2019 | Zwettl(away) | 0-2 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Retz(home) | 0-1 | Landesliga - Niederosterreich |
| Oct 25, 2019 | Langenrohr(away) | 3-2 | Landesliga - Niederosterreich |
| Oct 19, 2019 | Kilb(home) | 1-1 | Landesliga - Niederosterreich |
| Oct 11, 2019 | St. Pölten II(away) | 0-3 | Landesliga - Niederosterreich |
| Sep 27, 2019 | USC Rohrbach(away) | 2-6 | Landesliga - Niederosterreich |
How many goals should we expect?
Scheiblingkirchen score 1.7 and concede 1.5 goals per match over their last 15; Spratzern score 1.1 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Scheiblingkirchen | 1.7 | 1.5 | 3 | 9/15 | 8/15 |
| Spratzern | 1.1 | 2.6 | 0 | 8/14 | 11/14 |
Over the last 15 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