Match

Schwaz vs Hard: result 1-0 and analysis

Regionalliga - WestRegular Season - 26Kick-off on April 28, 2018 at 02:00 PM (UTC)Silberstadt Arena Schwaz, Schwaz

Schwaz
1-0
Hard

Full time

What was the result of Schwaz vs Hard?

Schwaz won 1-0 on April 28, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Schwaz have 7 wins, 7 draws and 1 defeat; Hard have 2, 8 and 5.

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

Schwaz
DateOpponentScoreCompetition
Apr 22, 2018Pinzgau Saalfelden(away)3-1Regionalliga - West
Apr 13, 2018TSV St. Johann(away)0-3Regionalliga - West
Apr 8, 2018FC Liefering(home)1-1Regionalliga - West
Mar 30, 2018Rheindorf Altach II(away)1-0Regionalliga - West
Mar 25, 2018Kitzbühel(home)2-2Regionalliga - West
Hard
DateOpponentScoreCompetition
Apr 21, 2018FC Liefering(home)1-1Regionalliga - West
Apr 15, 2018Rheindorf Altach II(away)0-6Regionalliga - West
Apr 7, 2018Kitzbühel(home)0-2Regionalliga - West
Mar 31, 2018Wals-Grünau(away)4-1Regionalliga - West
Mar 24, 2018Kufstein(home)1-1Regionalliga - West

What does the head-to-head say?

Across the last 6 meetings: 2 Schwaz wins, 4 draws, 0 Hard wins.

DateScoreCompetition
Sep 23, 2017Hard 1-1 SchwazRegionalliga - West
Nov 5, 2016Hard 1-1 SchwazRegionalliga - West
Aug 6, 2016Schwaz 1-0 HardRegionalliga - West
Jun 1, 2016Schwaz 0-0 HardRegionalliga - West
Oct 31, 2015Hard 2-2 SchwazRegionalliga - West
May 9, 2015Hard 0-1 SchwazRegionalliga - West

Last archived meeting: Hard vs Schwaz on Sep 23, 2017

How many goals should we expect?

Schwaz score 1.6 and concede 0.9 goals per match over their last 15; Hard score 1.3 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Schwaz1.60.959/157/15
Hard1.32.1011/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3Schwaz11812271925

A question about Schwaz vs Hard?

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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