Match

Hard vs Seekirchen: result 3-2 and analysis

Regionalliga - WestRegular Season - 26Kick-off on May 3, 2014 at 02:00 PM (UTC)Waldstadion Hard, Hard am Bodensee

Hard
3-2
Seekirchen

Full time

What was the result of Hard vs Seekirchen?

Hard won 3-2 on May 3, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Hard have 3 wins, 2 draws and 10 defeats; Seekirchen have 5, 8 and 2.

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

Hard
DateOpponentScoreCompetition
May 1, 2014Kufstein(away)4-2Regionalliga - West
Apr 26, 2014TSV St. Johann(home)5-1Regionalliga - West
Apr 21, 2014Wals-Grünau(away)0-3Regionalliga - West
Apr 19, 2014Höchst(home)2-2Regionalliga - West
Apr 12, 2014Schwarz-Weiß Bregenz(away)0-4Regionalliga - West
Seekirchen
DateOpponentScoreCompetition
Apr 30, 2014WSG Wattens(home)3-3Regionalliga - West
Apr 26, 2014Rheindorf Altach II(away)3-0Regionalliga - West
Apr 21, 2014Neumarkt(home)1-1Regionalliga - West
Apr 18, 2014Kufstein(home)2-2Regionalliga - West
Apr 11, 2014TSV St. Johann(away)1-1Regionalliga - West

What does the head-to-head say?

Across the last 5 meetings: 2 Hard wins, 1 draw, 2 Seekirchen wins.

DateScoreCompetition
Sep 27, 2013Seekirchen 3-0 HardRegionalliga - West
May 8, 2013Hard 1-2 SeekirchenRegionalliga - West
Oct 26, 2012Seekirchen 1-2 HardRegionalliga - West
May 1, 2012Seekirchen 1-2 HardRegionalliga - West
Sep 17, 2011Hard 1-1 SeekirchenRegionalliga - West

Last archived meeting: Seekirchen vs Hard on Sep 27, 2013

How many goals should we expect?

Hard score 1.3 and concede 2.3 goals per match over their last 15; Seekirchen score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Hard1.32.308/1511/15
Seekirchen1.71.168/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
3Seekirchen311948824761

A question about Hard vs Seekirchen?

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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