| Author(s) | Date | Sample | Data Collection | Key Findings |
|---|---|---|---|---|
| Pollard and Reep | 1997 | 22 matches World Cup 1986 | Video analysis | Calculation of “yield” (probability of a goal being scored, minus the probability of one being concede); starting zone of ball possession, open/set play and playing strategy as factors for the yield calculation; open play higher yield as set play; the closer it gets to the opponent goal the higher the yield |
| Carmichael and Thomas | 2005 | 380 matches in fist division England 1997-1998 | Secondary data | Attacking play seems more important for home team and defensive play for away teams; shots on goal, tackles, free kicks and cards given are important factors |
| Kapidžić, Bećirović and Imamović | 2009 | 31 matches European Championship 2008 | Secondary data | Shots within penalty area are the only significant single predictor (p=0.003),; shots on goal, shots off goal, shots blocked, pass completion, long, middle and short passes and completion explained 36% of the variance |
| Tenga, Holme, Ronglan and Bahr | 2010 | 163 matches in first division Norway 2004 | Video analysis | More goals during counter attacks; counter attacks better than elaborate attacks; attacks starting in the last third better as first third; long possession is better than short possession |
| Tenga, Ronglan and Bahr | 2010 | 163 matches in first division Norway 2004 | Video analysis | Counter attacks better than elaborate attacks; scoring opportunities and score box possessions (shooting opportunities) can be used as a proxy for goals scored under certain circumstances |
| Wright, Atkins, Polman, Jones and Sargeson | 2011 | 167 goals in first division England 2010-2011 | Video analysis | Three factors are significant predictors of goal success (p<0.05),: position of attempt, goal keepers’ position and type of shoot |
| Grund | 2012 | 76 matches in first division England 2006-2008; 283,259 passes to create network | Secondary data | A clear network intensity effect is found. Increases in the passing rate lead to increased team performance. a clear network centralization effect is present; Increases in the centralization of team play lead to decreased performance |