Prediction of Outcomes in Sports Under Probability in Kigezi Region.

The study investigated the best method for predicting sports outcomes using the probability method around the Kigezi region. The study objectives were to identify the effect of poor prediction of sports results on the coaches and the entire team and to find out the role of Probability in Sports Anal...

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Main Author: Masereka, Jairus
Format: Thesis
Language:English
Published: Kabale University 2024
Subjects:
Online Access:http://hdl.handle.net/20.500.12493/2379
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author Masereka, Jairus
author_facet Masereka, Jairus
author_sort Masereka, Jairus
collection KAB-DR
description The study investigated the best method for predicting sports outcomes using the probability method around the Kigezi region. The study objectives were to identify the effect of poor prediction of sports results on the coaches and the entire team and to find out the role of Probability in Sports Analytics. The study used purposive and random sampling in selecting respondents. The study revealed that present survey/interview responses showed how incorrect predictions led to poor decision-making (e.g., wrong player selection, ineffective game strategy). In that "45.5% of coaches reported changing tactics mid-game due to unexpected outcomes, often leading to disorganized play." Using Poisson, the prediction accuracy improved by 15% compared to traditional methods." If these conditions are true, then k is a Poisson random variable, and the distribution of k is a Poisson distribution. The Poisson distribution is also the limit of a binomial distribution, for which the probability of success for each trial equals λ divided by the number of trials, as the number of trials approaches infinity. The study concludes that the prediction of outcomes in sports, particularly in the Kigezi region, relies heavily on the application of probability theory. Understanding and applying probability helps in making informed predictions, although the inherently unpredictable nature of sports outcomes must be acknowledged. The study recommends that encouraging local sports organizations in Kigezi to improve the collection and analysis of sports-related data. Accurate and comprehensive data on teams, players, and match conditions will improve the quality of predictions.
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spelling oai:idr.kab.ac.ug:20.500.12493-23792024-11-08T00:00:42Z Prediction of Outcomes in Sports Under Probability in Kigezi Region. Masereka, Jairus Prediction Outcomes Sports Probability Kigezi Region The study investigated the best method for predicting sports outcomes using the probability method around the Kigezi region. The study objectives were to identify the effect of poor prediction of sports results on the coaches and the entire team and to find out the role of Probability in Sports Analytics. The study used purposive and random sampling in selecting respondents. The study revealed that present survey/interview responses showed how incorrect predictions led to poor decision-making (e.g., wrong player selection, ineffective game strategy). In that "45.5% of coaches reported changing tactics mid-game due to unexpected outcomes, often leading to disorganized play." Using Poisson, the prediction accuracy improved by 15% compared to traditional methods." If these conditions are true, then k is a Poisson random variable, and the distribution of k is a Poisson distribution. The Poisson distribution is also the limit of a binomial distribution, for which the probability of success for each trial equals λ divided by the number of trials, as the number of trials approaches infinity. The study concludes that the prediction of outcomes in sports, particularly in the Kigezi region, relies heavily on the application of probability theory. Understanding and applying probability helps in making informed predictions, although the inherently unpredictable nature of sports outcomes must be acknowledged. The study recommends that encouraging local sports organizations in Kigezi to improve the collection and analysis of sports-related data. Accurate and comprehensive data on teams, players, and match conditions will improve the quality of predictions. 2024-11-07T07:27:16Z 2024-11-07T07:27:16Z 2024 Thesis Masereka, Jairus (2024). Prediction of Outcomes in Sports Under Probability in Kigezi Region. Kabale: Kabale University. http://hdl.handle.net/20.500.12493/2379 en Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf Kabale University
spellingShingle Prediction
Outcomes
Sports
Probability
Kigezi Region
Masereka, Jairus
Prediction of Outcomes in Sports Under Probability in Kigezi Region.
title Prediction of Outcomes in Sports Under Probability in Kigezi Region.
title_full Prediction of Outcomes in Sports Under Probability in Kigezi Region.
title_fullStr Prediction of Outcomes in Sports Under Probability in Kigezi Region.
title_full_unstemmed Prediction of Outcomes in Sports Under Probability in Kigezi Region.
title_short Prediction of Outcomes in Sports Under Probability in Kigezi Region.
title_sort prediction of outcomes in sports under probability in kigezi region
topic Prediction
Outcomes
Sports
Probability
Kigezi Region
url http://hdl.handle.net/20.500.12493/2379
work_keys_str_mv AT maserekajairus predictionofoutcomesinsportsunderprobabilityinkigeziregion