Rot-Weiß Essen vs Hertha BSC: result 0-3 and analysis
DFB Pokal2nd RoundKick-off on October 26, 2011 at 05:00 PM (UTC)Stadion an der Hafenstraße, Essen
Full time
What was the result of Rot-Weiß Essen vs Hertha BSC?
Hertha BSC won 0-3 on October 26, 2011.
Goalscorers
- 64′A. RamosHertha BSC
- 72′Pierre-Michel LasoggaHertha BSC
- 87′N. RukavytsyaHertha BSC
Official lineup for Rot-Weiß Essen vs Hertha BSC
The starting elevens fielded at kick-off.
Rot-Weiß Essen
- BBenedikt Koep
- LLukas Lenz
- TT. Brauer
- MM. Heppke
- SSuat Tokat
- HHolger Lemke
- KK. Lehmann
- DDirk Jasmund
- TT. Denker
- KK. Grund
- DD. Lamczyk
Hertha BSC
- PPierre-Michel Lasogga
- PP. Ebert
- ÄÄnis Ben-Hatira
- FF. Lustenberger
- TT. Torun
- RRoman Hubník
- MM. Franz
- CC. Janker
- SS. Neumann
- PP. Niemeyer
- SS. Burchert
What is the recent form of both teams?
In their last match in all competitions, Rot-Weiß Essen have 0 wins, 1 draw and 0 defeats; Hertha BSC have 4, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2011 | Union Berlin(home) | 4-4 | DFB Pokal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2011 | FSV Mainz 05(home) | 0-0 | Bundesliga |
| Oct 15, 2011 | Bayern München(away) | 0-4 | Bundesliga |
| Oct 1, 2011 | 1. FC Köln(home) | 3-0 | Bundesliga |
| Sep 25, 2011 | Werder Bremen(away) | 1-2 | Bundesliga |
| Sep 17, 2011 | FC Augsburg(home) | 2-2 | Bundesliga |
How many goals should we expect?
Rot-Weiß Essen score 4.0 and concede 4.0 goals per match in their last match; Hertha BSC score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rot-Weiß Essen | 4.0 | 4.0 | 0 | 1/1 | 1/1 |
| Hertha BSC | 1.5 | 1.2 | 4 | 5/11 | 7/11 |
Over the last match in all competitions.
A question about Rot-Weiß Essen vs Hertha BSC?
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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