Sökning: "betting odds"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden betting odds.

1. 1. Predicting Counter-Strike Matches using Machine Learning Models

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Erik Broms; William Nordansjö; [2024]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER

3. 2. Modeling Stoppage Time as a Convolution of Negative Binomials

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Råvan Talani; [2023]
   Nyckelord :Machine learning; negative binomial; convolution; stoppage time; injury time; extra time; football;

   Sammanfattning : This thesis develops and evaluates a probabilistic model that estimates the stoppage time in football. Stoppage time represents the additional minutes of play given after the original matchtime is over. It is crucial in determining the course of events during the remainder of a match, thereby affecting the odds of live sports betting. LÄS MER

4. 3. Forecasting Football Corner Odds: Statistical Modelling, Betting Strategies and Assessing Market Efficiency

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Gustav Pålsson; Marcus Laurens; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : Statistical modelling could be included in a betting strategy where the value of a bet is assessed by comparing model predictions and market odds. This thesis presents several models based on statistical learning methods for predicting the total number of corners in a football match. LÄS MER

5. 4. Beating the odds : Machine Learning for football match prediction

   Master-uppsats, Jönköping University/Tekniska Högskolan

   Författare :Emil Christoffersson; [2023]
   Nyckelord :Machine Learning; feature selection; prediction; sports betting; football;

   Sammanfattning : This study aimed to compare the accuracy of machine learning models with the probabilities generatedby sports betting companies in predicting the outcome of football matches. The study also investigatedthe impact of different feature combinations on the performance of machine learning models for predicting football match outcomes. LÄS MER

7. 5. Favourable Opportunities in Sports Betting - A Statistical Approach to Football Goals in the Premier League

   Kandidat-uppsats, KTH/Matematisk statistik

   Författare :Fredrik Lindau; Gustaf Carle; [2022]
   Nyckelord :statistics; Poisson distribution; Negative Binomial distribution; Bayesian regression; football; Premier League; sports betting; market efficiency; probability theory; estimations; statistik; Poisson fördelning; Negativ Binomial fördelning; Bayesiansk regression; fotboll; Premier League; betting; marknadseffektivitet; sannolikhetsteori; skattningar;

   Sammanfattning : The premise of this report is to delve into sports betting and whether favourable opportunities can be found, more specifically focusing on over and under odds for number of goals scored in football games of the Premier League. Using historical data from football matches several models are developed, the characteristics of goals warranting the use of probability based Poisson and Negative Binomial models, as well as Bayesian Poisson regression for goal predictions. LÄS MER