Optik Rathenow vs Germania Halberstadt: result 1-3 and analysis
Regionalliga - NordostNordost - 1Kick-off on July 27, 2019 at 11:30 AM (UTC)Stadion Vogelgesang, Rathenow
Full time
What was the result of Optik Rathenow vs Germania Halberstadt?
Germania Halberstadt won 1-3 on July 27, 2019.
Goalscorers
- 22′Dennis BlaserGermania Halberstadt
- 74′P. TwardzikGermania Halberstadt (pen.)
- 87′J. PläschkeGermania Halberstadt
- 89′Kevin AdewumiOptik Rathenow
Official lineup for Optik Rathenow vs Germania Halberstadt
The starting elevens fielded at kick-off.
Optik Rathenow
- 26C. Özcin
- 6L. Hellwig
- 10S. Kapan
- 16J. Leroy
- 18Kevin Adewumi
- 22Iļja Ševčuks
- 2O. Matur
- 3A. Bilbija
- 9M. Langner
- 24Emre Turan
- 1L. Hiemann
Germania Halberstadt
- 7B. Yilmaz
- 11Stefan Korsch
- 22Dennis Blaser
- 6J. Bretgeld
- 10P. Twardzik
- 17Dustin Messing
- 27Mardochée Camillé Tchakoumi Ésséngué
- 4Michael Kwabena Ambrosius
- 19J. Pläschke
- 24Tino Schulze
- 1Florian Sowade
What is the recent form of both teams?
Over their last 2 matches in all competitions, Optik Rathenow have 0 wins, 0 draws and 2 defeats; Germania Halberstadt have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2014 | FC St. Pauli(home) | 1-3 | DFB Pokal |
| Aug 4, 2013 | FSV Frankfurt(home) | 1-3 | DFB Pokal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | SC Freiburg(home) | 1-2 | DFB Pokal |
How many goals should we expect?
Optik Rathenow score 1.0 and concede 3.0 goals per match over their last 2; Germania Halberstadt score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Optik Rathenow | 1.0 | 3.0 | 0 | 2/2 | 2/2 |
| Germania Halberstadt | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
Over the last 2 matches in all competitions.
A question about Optik Rathenow vs Germania Halberstadt?
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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