Sökning: "Sports Analytics"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Sports Analytics.

  1. 1. Not All Goals Are Created Equal : Evaluating Hockey Players in the NHL Using Q-Learning with a Contextual Reward Function

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Jon Vik; [2021]
    Nyckelord :Sports Analytics; Markov Game; Machine Learning; Reinforcement Learning; Q-Learning; Data Mining; National Hockey League; Ice Hockey; Reward Function; Player Evaluation;

    Sammanfattning : Not all goals in the game of ice hockey are created equal: some goals increase the chances of winning more than others. This thesis investigates the result of constructing and using a reward function that takes this fact into consideration, instead of the common binary reward function. LÄS MER

  2. 2. eValuate - A Sports Analytics mHealth App : Featuring the Perceived Load and Fitness Scale for Overtraining Prevention and Intervention

    Kandidat-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Ala Abed; [2020]
    Nyckelord :mHealth; sports analytics; app development; custom questionnaire; overtraining;

    Sammanfattning : Health and fitness apps have become ubiquitous as smart devices become a major necessity in day-to-day life. However, an obvious issue with mobile health (mHealth) apps is that a substantial portion of them lack a scientific foundation and instead utilize  experiential  stratagems.  Hence,  the  acquired  data  becomes  unreliable. LÄS MER

  3. 3. Comparison of Player Tracking-by-Detection Algorithms in Football Videos

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Suping Shi; [2020]
    Nyckelord :;

    Sammanfattning : In recent years, increasing demands on sports analytics have triggered growing research interest in automatic player tracking-by-detection approaches. Two prominent branches in this area are Convolutional Neural Network (CNN)-based visual object detectors and histogram-based detectors. LÄS MER

  4. 4. Analys av hörnsekvenser i svensk elitfotboll : Gruppering av hörnsekvenser och utvärdering av sannolikhet för skott med logistisk hierarkisk modellstruktur

    Kandidat-uppsats, Linköpings universitet/Statistik och maskininlärning; Linköpings universitet/Statistik och maskininlärning

    Författare :Sidney Rydström; Jakob Lindén; [2020]
    Nyckelord :Bayesian Statistics; cluster analysis; logistical hierarchical model structure; sports analysis; soccer; football; shot; corner; Bayesiansk statistik; klusteranalys; logistisk hierarkisk modellstruktur; sportanalys; fotboll; skott; hörnor; Allsvenskan; Superettan;

    Sammanfattning : Sportanalys definieras av Alamar (2013) som användning av historisk data för att applicera modeller som kan ge information till beslutstagare inom en viss organisation. Det ger dem möjlighet att assistera sin organisation för att få en sportslig fördel. LÄS MER

  5. 5. Supervised Learning models with ice hockey data

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Enrique Josué Álvarez Robles; [2019]
    Nyckelord :Statistics; Machine learning; Neural Networks; Supervised Learning; Tensorflow; Deep Learning;

    Sammanfattning : The technology developments of the last years allow measuring data in almost every field and area nowadays, especially increasing the potential for analytics in branches in which not much analytics have been done due to complicated data access before. The increased number of interest in sports analytics is highly connected to the better technology now available for visual and physical sensors on the one hand and sports as upcoming economic topic holding potentially large revenues and therefore investing interest on the other hand. LÄS MER