Holstein Kiel vs MSV Duisburg: result 2-0 and analysis
DFB Pokal2nd RoundKick-off on October 26, 2011 at 05:00 PM (UTC)Holstein-Stadion, Kiel
Full time
What was the result of Holstein Kiel vs MSV Duisburg?
Holstein Kiel won 2-0 on October 26, 2011.
Goalscorers
- 54′Rafael KaziorHolstein Kiel
- 59′F. SykoraHolstein Kiel
Official lineup for Holstein Kiel vs MSV Duisburg
The starting elevens fielded at kick-off.
Holstein Kiel
- FF. Sykora
- MM. Heider
- RRafael Kazior
- JJ. Lindner
- TT. Siedschlag
- DD. Toksöz
- PP. Herrmann
- MMarco Steil
- DDan-Patrick Poggenberg
- AA. Berzel
- MM. Jensen
MSV Duisburg
- EE. Jula
- BB. Kern
- GG. Šukalo
- ZZ. Pamić
- JJános Lázok
- BB. Bajić
- DD. Berberović
- BBruno Soares
- DD. Brosinski
- KKevin Wolze
- FF. Fromlowitz
What is the recent form of both teams?
In their last match in all competitions, Holstein Kiel have 1 win, 0 draws and 0 defeats; MSV Duisburg have 3, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2011 | Energie Cottbus(home) | 3-0 | DFB Pokal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2011 | Eintracht Frankfurt(away) | 0-3 | 2. Bundesliga |
| Oct 15, 2011 | FC Ingolstadt 04(home) | 3-1 | 2. Bundesliga |
| Oct 2, 2011 | SC Paderborn 07(home) | 0-1 | 2. Bundesliga |
| Sep 25, 2011 | VfL Bochum(away) | 1-2 | 2. Bundesliga |
| Sep 17, 2011 | Union Berlin(home) | 1-1 | 2. Bundesliga |
How many goals should we expect?
Holstein Kiel score 3.0 and concede 0.0 goals per match in their last match; MSV Duisburg score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Holstein Kiel | 3.0 | 0.0 | 1 | 0/1 | 1/1 |
| MSV Duisburg | 1.2 | 1.3 | 4 | 7/13 | 8/13 |
Over the last match in all competitions.
A question about Holstein Kiel vs MSV Duisburg?
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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