Browsing by Author "Masereka, Jairus"

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    Prediction of Outcomes in Sports Under Probability in Kigezi Region.
    (Kabale University, 2024) Masereka, Jairus
    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.