Scheiblingkirchen vs Krems: result 1-0 and analysis
Landesliga - NiederosterreichNiederösterreich - 9Kick-off on September 27, 2019 at 05:30 PM (UTC)Pittentalstadion, Scheiblingkirchen
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What was the result of Scheiblingkirchen vs Krems?
Scheiblingkirchen won 1-0 on September 27, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Scheiblingkirchen have 3 wins, 2 draws and 4 defeats; Krems have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 30, 2019 | Kilb(home) | 0-2 | Landesliga - Niederosterreich |
| Aug 23, 2019 | St. Pölten II(home) | 3-0 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2019 | Retz(home) | 0-1 | Landesliga - Niederosterreich |
| Sep 13, 2019 | Langenrohr(away) | 0-0 | Landesliga - Niederosterreich |
| Sep 6, 2019 | Kilb(home) | 1-0 | Landesliga - Niederosterreich |
| Aug 30, 2019 | St. Pölten II(home) | 1-1 | Landesliga - Niederosterreich |
| Aug 22, 2019 | Schrems(home) | 5-2 | Landesliga - Niederosterreich |
How many goals should we expect?
Scheiblingkirchen score 1.8 and concede 2.0 goals per match over their last 9; Krems score 2.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Scheiblingkirchen | 1.8 | 2.0 | 1 | 6/9 | 7/9 |
| Krems | 2.8 | 1.3 | 3 | 5/11 | 5/11 |
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 | Scheiblingkirchen | 27 | 16 | 8 | 3 | 59 | 25 | 56 |
A question about Scheiblingkirchen vs Krems?
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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