Krems vs Kilb: result 1-0 and analysis
Landesliga - NiederosterreichNiederösterreich - 6Kick-off on September 6, 2019 at 04:45 PM (UTC)Sepp-Doll-Stadion, Krems
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What was the result of Krems vs Kilb?
Krems won 1-0 on September 6, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Krems have 4 wins, 1 draw and 3 defeats; Kilb have 1, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2019 | St. Pölten II(home) | 1-1 | Landesliga - Niederosterreich |
| Aug 22, 2019 | Schrems(home) | 5-2 | Landesliga - Niederosterreich |
| Aug 17, 2019 | USC Rohrbach(away) | 0-1 | Landesliga - Niederosterreich |
| Aug 14, 2019 | Spratzern(away) | 3-0 | Landesliga - Niederosterreich |
| Aug 9, 2019 | Ortmann(home) | 10-1 | Landesliga - Niederosterreich |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2019 | Scheiblingkirchen(away) | 2-0 | Landesliga - Niederosterreich |
| Aug 24, 2019 | Retz(away) | 0-4 | Landesliga - Niederosterreich |
| Aug 17, 2019 | Langenrohr(away) | 0-3 | Landesliga - Niederosterreich |
| Aug 14, 2019 | St. Pölten II(away) | 0-2 | Landesliga - Niederosterreich |
| Aug 9, 2019 | Kottingbrunn(away) | 0-2 | Landesliga - Niederosterreich |
How many goals should we expect?
Krems score 3.8 and concede 1.6 goals per match over their last 8; Kilb score 0.4 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krems | 3.8 | 1.6 | 1 | 5/8 | 5/8 |
| Kilb | 0.4 | 2.2 | 1 | 0/5 | 2/5 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kilb | 28 | 7 | 8 | 13 | 39 | 56 | 29 |
A question about Krems vs Kilb?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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