Hertha vs Stadl-Paura: result 2-2 and analysis
Regionalliga - MitteRegular Season - 13Kick-off on October 20, 2018 at 01:00 PM (UTC)HUBER Arena, Wels
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What was the result of Hertha vs Stadl-Paura?
Hertha and Stadl-Paura drew 2-2 on October 20, 2018.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Hertha have 4 wins, 3 draws and 6 defeats; Stadl-Paura have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2018 | Bad Gleichenberg(away) | 4-4 | Regionalliga - Mitte |
| Oct 6, 2018 | Wolfsberger AC II(away) | 0-4 | Regionalliga - Mitte |
| Sep 28, 2018 | Allerheiligen(home) | 0-3 | Regionalliga - Mitte |
| Sep 22, 2018 | Gurten(away) | 0-0 | Regionalliga - Mitte |
| Sep 14, 2018 | Union Vöcklamarkt(home) | 3-0 | Regionalliga - Mitte |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2018 | Wolfsberger AC II(home) | 0-2 | Regionalliga - Mitte |
| Oct 5, 2018 | Allerheiligen(away) | 0-2 | Regionalliga - Mitte |
| Sep 30, 2018 | Gurten(home) | 2-3 | Regionalliga - Mitte |
| Sep 26, 2018 | Lask Linz(home) | 0-8 | Cup |
| Sep 21, 2018 | Union Vöcklamarkt(away) | 0-1 | Regionalliga - Mitte |
How many goals should we expect?
Hertha score 1.5 and concede 2.2 goals per match over their last 13; Stadl-Paura score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hertha | 1.5 | 2.2 | 3 | 5/13 | 9/13 |
| Stadl-Paura | 1.7 | 1.9 | 1 | 9/15 | 9/15 |
Over the last 13 matches in all competitions.
A question about Hertha vs Stadl-Paura?
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