F.R. Goes, MSc

f.r.goes umcg.nl


  1. Machine learning in men's professional football: Current applications and future directions for improving attacking play

    Herold, M., Goes, F., Nopp, S., Bauer, P., Thompson, C. & Meyer, T., 1-Oct-2019, In : International Journal of Sports Science & Coaching. 20 p.

    Research output: Contribution to journalReview articleAcademicpeer-review

  2. Smart data scouting in professional soccer: Evaluating passing performance based on position tracking data

    Kempe, M., Goes, F. R. & Lemmink, K. A. P. M., 24-Dec-2018, Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. Institute of Electrical and Electronics Engineers Inc., p. 409-410 2 p. 8588745

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  3. Not Every Pass Can Be an Assist: A Data-Driven Model to Measure Pass Effectiveness in Professional Soccer Matches

    Goes, F. R., Kempe, M., Meerhoff, L. A. & Lemmink, K. A. P. M., 1-Mar-2019, In : Big Data. 7, 1, p. 57-70 14 p.

    Research output: Contribution to journalArticleAcademicpeer-review

View all (3) »

View graph of relations

ID: 48956972