Measuring Football Players' On-the-ball Contributions From Passes During Games
September 13, 2018 Β· Declared Dead Β· π MLSA@PKDD/ECML
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Lotte Bransen, Jan Van Haaren
arXiv ID
1810.02252
Category
stat.AP
Cross-listed
cs.LG
Citations
31
Venue
MLSA@PKDD/ECML
Last Checked
4 months ago
Abstract
Several performance metrics for quantifying the in-game performances of individual football players have been proposed in recent years. Although the majority of the on-the-ball actions during games constitutes of passes, many of the currently available metrics focus on measuring the quality of shots only. To help bridge this gap, we propose a novel approach to measure players' on-the-ball contributions from passes during games. Our proposed approach measures the expected impact of each pass on the scoreline.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β stat.AP
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Sequence-to-point learning with neural networks for nonintrusive load monitoring
R.I.P.
π»
Ghosted
Predictive Business Process Monitoring with LSTM Neural Networks
R.I.P.
π»
Ghosted
Forecasting: theory and practice
R.I.P.
π»
Ghosted
Accurate estimation of influenza epidemics using Google search data via ARGO
R.I.P.
π»
Ghosted
Survey of resampling techniques for improving classification performance in unbalanced datasets
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted