Hertha vs Wels: result 3-1 and analysis
Regionalliga - MitteRegular Season - 20Kick-off on April 6, 2019 at 02:00 PM (UTC)HUBER Arena, Wels
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What was the result of Hertha vs Wels?
Hertha won 3-1 on April 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hertha have 5 wins, 5 draws and 5 defeats; Wels have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2019 | Gleisdorf 09(away) | 3-4 | Regionalliga - Mitte |
| Mar 22, 2019 | Kalsdorf(home) | 1-1 | Regionalliga - Mitte |
| Mar 17, 2019 | Lendorf(away) | 2-1 | Regionalliga - Mitte |
| Mar 9, 2019 | Deutschlandsberger SC(home) | 3-5 | Regionalliga - Mitte |
| Nov 3, 2018 | Sturm Graz II(home) | 3-0 | Regionalliga - Mitte |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2019 | Wolfsberger AC II(home) | 1-5 | Regionalliga - Mitte |
| Mar 22, 2019 | Allerheiligen(away) | 0-6 | Regionalliga - Mitte |
| Mar 15, 2019 | Gurten(home) | 1-4 | Regionalliga - Mitte |
| Mar 8, 2019 | Union Vöcklamarkt(away) | 0-3 | Regionalliga - Mitte |
| Nov 2, 2018 | Weiz(away) | 3-3 | Regionalliga - Mitte |
What does the head-to-head say?
In the last meeting: 0 Hertha wins, 0 draws, 1 Wels win.
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2018 | Wels 2-0 Hertha | Regionalliga - Mitte |
How many goals should we expect?
Hertha score 1.9 and concede 2.0 goals per match over their last 15; Wels score 1.3 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hertha | 1.9 | 2.0 | 4 | 8/15 | 12/15 |
| Wels | 1.3 | 3.0 | 2 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Hertha vs Wels?
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