Fabian Wunderlich
Biographic Data
| ID | 7892796 |
|---|---|
| NAME | Fabian Wunderlich |
| GIVEN NAMES | Fabian |
| FAMILY NAME | Wunderlich |
| SIGNATURE | WUNDERLICH F |
| AFFILIATIONS | German Sport University Cologne |
| ORCID | 0000-0002-2238-5269 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Thin-Slice Accuracy Depends on the Wisdom of Crowds
The present paper aims to resolve ambiguous findings on the accuracy or inaccuracy of human judgments based on sparse information by arguing that accurate thin-slice judgments can be understood as driven by the wisdom of the crowd. To test this hypothesis, participants estimated the performance of track and field athletes in different competitions based on thin slices of pre- and post-performance nonverbal behavior. Results suggest that averaged …
The effects of scheduling network models in predictive processes in sports
In many sports disciplines, the schedule of the competitions is undeniably an inherent yet crucial component. The present study modeled sports competitions schedules as networks and investigated the influence of network properties on the accuracy of predictive ratings and forecasting models in sports. Artificial networks were generated representing competition schedules with varying density, degree distribution and modularity and embedded in a fu…
A big data analysis of Twitter data during premier league matches
Data-related analysis in football increasingly benefits from Big Data approaches and machine learning methods. One relevant application of data analysis in football is forecasting, which relies on understanding and accurately modelling the process of a match. The present paper tackles two neglected facets of forecasting in football: Forecasts on the total number of goals and in-play forecasting (forecasts based on within-match information). Senti…
Evaluation of the Technical Performance of Football Players in the Uefa Champions League
This study aimed to assess the technical match performance of top-class football players in a long-term perspective. Technical performance profiles of players according to five playing positions (central defender, full back, wide midfielder, central midfielder, forward) and five situational variables (competition stage, match location, quality of team, quality of opponent, match outcome) were established. Technical match data of players in the UE…
No prominent works on this page.
Evaluation of the Technical Performance of Football Players in the Uefa Champions League
This study aimed to assess the technical match performance of top-class football players in a long-term perspective. Technical performance profiles of players according to five playing positions (central defender, full back, wide midfielder, central midfielder, forward) and five situational variables (competition stage, match location, quality of team, quality of opponent, match outcome) were established. Technical match data of players in the UE…
The effects of scheduling network models in predictive processes in sports
In many sports disciplines, the schedule of the competitions is undeniably an inherent yet crucial component. The present study modeled sports competitions schedules as networks and investigated the influence of network properties on the accuracy of predictive ratings and forecasting models in sports. Artificial networks were generated representing competition schedules with varying density, degree distribution and modularity and embedded in a fu…
A big data analysis of Twitter data during premier league matches
Data-related analysis in football increasingly benefits from Big Data approaches and machine learning methods. One relevant application of data analysis in football is forecasting, which relies on understanding and accurately modelling the process of a match. The present paper tackles two neglected facets of forecasting in football: Forecasts on the total number of goals and in-play forecasting (forecasts based on within-match information). Senti…
Thin-Slice Accuracy Depends on the Wisdom of Crowds
The present paper aims to resolve ambiguous findings on the accuracy or inaccuracy of human judgments based on sparse information by arguing that accurate thin-slice judgments can be understood as driven by the wisdom of the crowd. To test this hypothesis, participants estimated the performance of track and field athletes in different competitions based on thin slices of pre- and post-performance nonverbal behavior. Results suggest that averaged …
Computer Science (3 works) · Mathematics (3 works) · Sports Analytics and Performance (3 works) · Data mining (2 works) · Football (2 works) · Geography (2 works) · League (2 works) · Machine learning (2 works) · Psychology (2 works) · Social Psychology (2 works)