Match

SV Sandhausen vs RB Leipzig: result 0-0 and analysis

2. BundesligaRegular Season - 15Kick-off on November 30, 2014 at 12:30 PM (UTC)GP Stadion am Hardtwald, Sandhausen

SV Sandhausen
0-0
RB Leipzig

Full time

What was the result of SV Sandhausen vs RB Leipzig?

SV Sandhausen and RB Leipzig drew 0-0 on November 30, 2014.

Official lineup for SV Sandhausen vs RB Leipzig

The starting elevens fielded at kick-off.

SV Sandhausen

  1. 9A. Bouhaddouz
  2. 12A. Wooten
  1. 6D. Linsmayer
  2. 21M. Stiefler
  3. 31S. Kulovits
  1. 5Daniel Schulz
  2. 7M. Thiede
  3. 19L. Paqarada
  4. 27S. Olajengbesi
  5. 30L. Kübler
  1. 33M. Riemann

RB Leipzig

  1. 9Y. Poulsen
  2. 11D. Frahn
  3. 18T. Boyd
  1. 19Z. Kalmár
  2. 24Dominik Kaiser
  3. 31D. Demme
  1. 3A. Jung
  2. 8T. Sebastian
  3. 33M. Compper
  4. 39G. Teigl
  1. 1F. Coltorti
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What is the recent form of both teams?

Over their last 15 matches in all competitions, SV Sandhausen have 4 wins, 3 draws and 8 defeats; RB Leipzig have 8, 4 and 3.

The competition is shown for every match: in pre-season, several of these games are friendlies.

SV Sandhausen
DateOpponentScoreCompetition
Nov 21, 20141. FC Heidenheim(away)0-32. Bundesliga
Nov 7, 20141. FC Nürnberg(home)2-12. Bundesliga
Oct 31, 2014Karlsruher SC(away)1-12. Bundesliga
Oct 26, 2014Erzgebirge Aue(home)1-12. Bundesliga
Oct 18, 2014Union Berlin(away)1-32. Bundesliga
RB Leipzig
DateOpponentScoreCompetition
Nov 23, 2014FC St. Pauli(home)4-12. Bundesliga
Nov 8, 2014SV Darmstadt 98(away)0-12. Bundesliga
Nov 3, 20141. FC Kaiserslautern(home)0-02. Bundesliga
Oct 29, 2014Erzgebirge Aue(home)3-1DFB Pokal
Oct 24, 2014VfL Bochum(home)2-02. Bundesliga

How many goals should we expect?

SV Sandhausen score 0.8 and concede 1.7 goals per match over their last 15; RB Leipzig score 1.7 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SV Sandhausen0.81.738/158/15
RB Leipzig1.70.858/158/15

Over the last 15 matches in all competitions.

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Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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