Data and code for Pre-Entry Podium Prediction and Event Ranking in Masters Swimming
Year: 2026
Type: dataset
Abstract: This record contains the pseudonymised dataset, analysis code and outputs for the paper “Pre-Entry Podium Prediction and Event Ranking in Masters Swimming” (M. Patil and R. H. Goudar). The dataset holds 3,051 official individual results from 882 athletes in six editions (2017, 2019, 2022, 2023, 2024 and 2025) of the Karnataka State Masters Swimming Championships, India. Athlete names have been replaced by pseudonymous identifiers. The code builds strictly chronological features, in which every entry in season s uses only earlier seasons, and evaluates podium prediction and event ranking on three forward test seasons (2023–2025). It compares five machine-learning models with three transparent baselines and includes calibration, ablation, sensitivity and linkage analyses. Contents: state_masters_2017_2025.csv: the pseudonymised dataset README.md: data description, protocol summary and instructions masters-swim-prechrono.zip: the complete package (data, Python scripts, split indices, out-of-fold predictions and all output tables and figures) To reproduce all results, unzip the package and run run_all.sh (see README). The original results were published by the Karnataka Swimming Association.
Authors: Patil, Minal, Goudar, R H
Institution: Visvesvaraya Technological University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225422698