Extra Deliveries (Wides and No-Balls) in T20 Cricket

This dataset presents ball-by-ball contextual information for analyzing last-delivery outcomes in T20 cricket, with a focus on quantifying how preceding match conditions influence the result of the final ball in an over. Compiled from Pakistan Super League (PSL) matches, the dataset contains 27 variables spanning bowler attributes, batsman performance metrics, partnership dynamics, over-level context, field restrictions, and situational pressure indicators. Each record represents a single delivery and includes details such as bowler workload, batsman form, boundaries scored, partnership runs, power-play status, free-hit conditions, wicket occurrences, and the coded outcome of the final ball.The dataset enables empirical exploration of performance variability under pressure, modelling of last-ball run-scoring probabilities, and identification of strategic patterns in T20 cricket. Its structured form allows the application of machine learning, predictive analytics, and event-based statistical modelling to understand how contextual factors\u2014such as bowler fatigue, batsman momentum, and over progression\u2014shape delivery outcomes.This curated dataset serves as a valuable resource for sports analytics researchers, data scientists, and cricket strategists seeking to advance quantitative methods in cricket performance evaluation. Potential applications include decision-support systems, player evaluation frameworks, and real-time predictive tools for broadcasting and coaching environments.