Previous Calculations
Formulas Used
IPF GL Points: \( \text{Points} = \frac{\text{Total Weight Lifted} \times 100}{A - B \times e^{-C \times \text{Body Weight}}} \)
DOTS: \( \text{Points} = \frac{\text{Total Weight Lifted} \times 500}{a + b \cdot BW + c \cdot BW^2 + d \cdot BW^3 + e \cdot BW^4} \)
Wilks: \( \text{Points} = \frac{\text{Total Weight Lifted} \times 500}{a + b \cdot BW + c \cdot BW^2 + d \cdot BW^3 + e \cdot BW^4 + f \cdot BW^5} \)
References & Documentation
IPF GL Points (IPF-GL 2021)
- IPF Formula - Official Documentation
- Overview: The IPF GL points system was introduced in 2021 by the International Powerlifting Federation (IPF) to offer a more accurate way of evaluating lifter performance across different weight classes, based on extensive analysis of recent powerlifting data.
IPF Points (2019-2021)
- The IPF Formula - British Powerlifting
- Overview: IPF Points were introduced in 2019 to replace the original Wilks formula, aiming to provide a fairer assessment of lifter performance across various weight categories. This formula was in use until 2021, when it was succeeded by the IPF GL Points.
DOTS Formula
- Overview: Created by Tim Gale, the DOTS formula is an alternative system designed to address limitations of earlier formulas, providing a modern approach to lifter classification and relative performance analysis.
Wilks Formulas
- Original Wilks (1994-2020): Developed by Robert Wilks, this was the primary formula for calculating relative scores in powerlifting for many years.
- Wilks 2 (2020): This updated version of the Wilks formula adjusted the coefficients to better align with modern powerlifting standards.
- Original Wilks Coefficients - Men and Women(PDF) - European Powerlifting Federation
Additional Resources
- International Powerlifting Federation (IPF)
- OpenPowerlifting Database
- Evaluation of Wilks, Wilks-2, DOTS, IPF, and Goodlift Formulas for Calculating Relative Scores in IPF Powerlifting Competitions
- Historical Note: This document provides a detailed comparison and analysis of the major formulas used in powerlifting, explaining each formula's methodology and effectiveness for contemporary competitive standards.
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Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.