Machine Learning Models Reveal Key Performance Metrics of Football Players to Win Matches in Qatar Stars League
<p>As football (soccer) is one of the most popular sports worldwide, winning football matches is becoming an essential aspect of football clubs. In this study, we analyzed football players' performance in a total of 864 football matches of the Qatar Stars League (QSL) between the years 20...
Saved in:
| Main Author: | Jassim Almulla (14153178) (author) |
|---|---|
| Other Authors: | Tanvir Alam (638619) (author) |
| Published: |
2020
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ramadan and match physical performance in professional Muslim football players: a three‐phase interrupted time-series league-wide study from the Qatar Stars League
by: Valter Di Salvo (3094752)
Published: (2025) -
How did an international football competition influence the number of 999 calls a national ambulance service had to respond to? A retrospective study
by: Reem Bassam Tluli (18505131)
Published: (2024) -
The Impact of Sporting Events on Air Pollution: An Empirical Examination of National Football League Games
by: Nicholas Watanabe (19450285)
Published: (2023) -
Beyond the needle: How nonsurgical management transforms foot and ankle ability in male footballers with posterior ankle impingement- a longitudinal study
by: Gupta, Jyoti
Published: (2024) -
Influence of hosting the world’s most popular football competition on Response and Transport Time of Ground Emergency Ambulances in Qatar
by: Reem Bassam Tluli (18505131)
Published: (2024)