In order to predict the most likely outcomes of a sports match, we have fine-tuned a Python-based AI predictive analytics software that performs comprehensive win-loss analysis of a given match. On this website, we display only those predictions that the AI has determined to be 80.0%+ accurate. Statistically, over the past year, we have observed that AI-generated predictions, while not always perfect, generally increase betting accuracy by 37.1% when compared to human predictions.


The predictive analytics software informs both "precision bets" (low-risk, but high-value odds) and higher-risk bets (large wagers with greater value). In both cases, it is recommended to place no more than 5% of the total allocated budget on both types of picks.


The record of games is maintained by the analytics software that we use to conduct win-loss analysis. Every inaccurate bet that the system makes helps the machine learn from its own mistakes and algorithmically adjust to increase its accuracy with each subsequent prediction. After being on the market for 16 months, we are observing that the accuracy per month is increasing by an average of 0.57%, which is an excellent result from the perspective of predictive analysis science.