Wels vs Hertha: result 1-6 and analysis
Regionalliga - MitteMitte - 11Kick-off on October 4, 2019 at 05:00 PM (UTC)HUBER Arena, Wels
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What was the result of Wels vs Hertha?
Hertha won 1-6 on October 4, 2019.
Goalscorers
- 18′D. PoljanecHertha
- 26′S. MarkovicHertha
- 32′Marcel PointnerWels
- 44′S. MarkovicHertha
- 45′Stevo RožićHertha
- 46′S. MarkovicHertha
- 68′David KlausrieglerHertha
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wels have 1 wins, 2 draws and 12 defeats; Hertha 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 |
|---|---|---|---|
| Sep 29, 2019 | Wolfsberg(away) | 0-6 | Regionalliga - Mitte |
| Sep 20, 2019 | Deutschlandsberger SC(home) | 1-2 | Regionalliga - Mitte |
| Sep 14, 2019 | St. Anna(away) | 0-0 | Regionalliga - Mitte |
| Sep 6, 2019 | Allerheiligen(home) | 1-3 | Regionalliga - Mitte |
| Aug 30, 2019 | Gurten(away) | 1-4 | Regionalliga - Mitte |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Wolfsberger AC II(home) | 4-1 | Regionalliga - Mitte |
| Sep 25, 2019 | SCR Altach(home) | 1-4 | Cup |
| Sep 20, 2019 | Union Vöcklamarkt(away) | 1-3 | Regionalliga - Mitte |
| Sep 13, 2019 | Bad Gleichenberg(home) | 1-0 | Regionalliga - Mitte |
| Sep 6, 2019 | Gleisdorf 09(away) | 3-2 | Regionalliga - Mitte |
What does the head-to-head say?
Across the last 2 meetings: 1 Wels win(s), 0 draw(s), 1 Hertha win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 6, 2019 | Hertha 3-1 Wels | Regionalliga - Mitte |
| Aug 25, 2018 | Wels 2-0 Hertha | Regionalliga - Mitte |
How many goals should we expect?
Wels score 0.8 and concede 3.1 goals per match over their last 15; Hertha score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wels | 0.8 | 3.1 | 2 | 9/15 | 11/15 |
| Hertha | 1.7 | 1.7 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy