Match

Kilb vs USC Rohrbach: result 2-0 and analysis

Landesliga - NiederosterreichNiederösterreich - 7Kick-off on September 24, 2021 at 05:30 PM (UTC)Waldstadion Kilb, Kilb

Kilb
2-0
USC Rohrbach

Full time

What was the result of Kilb vs USC Rohrbach?

Kilb won 2-0 on September 24, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Kilb have 3 wins, 2 draws and 10 defeats; USC Rohrbach have 4, 5 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Kilb
DateOpponentScoreCompetition
Sep 17, 2021Schrems(away)1-3Landesliga - Niederosterreich
Sep 10, 2021Mannersdorf(home)3-0Landesliga - Niederosterreich
Sep 4, 2021Spratzern(away)0-2Landesliga - Niederosterreich
Aug 27, 2021Langenrohr(home)0-2Landesliga - Niederosterreich
Aug 21, 2021Retz(away)0-2Landesliga - Niederosterreich
USC Rohrbach
DateOpponentScoreCompetition
Sep 17, 2021Zwettl(home)3-0Landesliga - Niederosterreich
Sep 10, 2021Kottingbrunn(away)0-0Landesliga - Niederosterreich
Sep 3, 2021Krems(away)0-5Landesliga - Niederosterreich
Aug 27, 2021Ardagger(away)0-2Landesliga - Niederosterreich
Aug 20, 2021Ortmann(home)1-1Landesliga - Niederosterreich

What does the head-to-head say?

In the last meeting: 0 Kilb wins, 0 draws, 1 USC Rohrbach win.

DateScoreCompetition
Nov 2, 2019USC Rohrbach 3-0 KilbLandesliga - Niederosterreich

Last archived meeting: USC Rohrbach vs Kilb on Nov 2, 2019

How many goals should we expect?

Kilb score 1.2 and concede 2.1 goals per match over their last 15; USC Rohrbach score 0.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kilb1.22.127/1510/15
USC Rohrbach0.91.355/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
14Kilb287813395629

A question about Kilb vs USC Rohrbach?

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

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