Wörgl vs Hard: result 4-1 and analysis
Regionalliga - WestRegular Season - 15Kick-off on October 22, 2017 at 11:30 AM (UTC)Sportstadion Wörgl, Wörgl
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What was the result of Wörgl vs Hard?
Wörgl won 4-1 on October 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wörgl have 4 wins, 3 draws and 8 defeats; Hard have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Pinzgau Saalfelden(away) | 1-2 | Regionalliga - West |
| Oct 8, 2017 | Schwaz(home) | 0-1 | Regionalliga - West |
| Sep 30, 2017 | FC Liefering(away) | 0-3 | Regionalliga - West |
| Sep 23, 2017 | Rheindorf Altach II(home) | 0-3 | Regionalliga - West |
| Sep 13, 2017 | Kitzbühel(away) | 2-1 | Regionalliga - West |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Dornbirn(home) | 1-1 | Regionalliga - West |
| Oct 7, 2017 | TSV St. Johann(home) | 4-4 | Regionalliga - West |
| Sep 30, 2017 | Pinzgau Saalfelden(away) | 2-1 | Regionalliga - West |
| Sep 23, 2017 | Schwaz(home) | 1-1 | Regionalliga - West |
| Sep 16, 2017 | FC Liefering(away) | 0-7 | Regionalliga - West |
What does the head-to-head say?
Across the last 2 meetings: 0 Wörgl wins, 0 draws, 2 Hard wins.
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2017 | Hard 2-0 Wörgl | Regionalliga - West |
| Sep 17, 2016 | Wörgl 0-3 Hard | Regionalliga - West |
How many goals should we expect?
Wörgl score 1.1 and concede 2.5 goals per match over their last 15; Hard score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wörgl | 1.1 | 2.5 | 2 | 6/15 | 11/15 |
| Hard | 1.3 | 2.3 | 0 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Wörgl 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