The OpenPowerlifting project aims to create a permanent, accurate, convenient, accessible, open archive of the world's powerlifting data. In support of this mission, all of the OpenPowerlifting data and code is available for download in useful formats. There is no need to scrape this website.
All work on the OpenPowerlifting project is conducted in the open with a visible and permanent data modification history. If you would like to contribute to the project, the best way is through the GitLab repository.
Projects Using Our Data
The following is an incomplete list of projects, articles, and anything else using OpenPowerlifting data.
Did you use the data for something interesting? Contact Us and we'll add you to the list!
- Vigotsky, Andrew D.; Nuckols, Gregory L.; Heathers, James; Krieger, James; Schoenfeld, Brad J; and Steele, James (2020) "Improbable Data Patterns in the Work of Barbalho Et Al." SportRxiv: 18 July 2020 Uses the OpenPowerlifting dataset to illustrate statistical concepts used for the work in the white-paper. 2020-07-18.
- Ferland, Pierre-Marc; Allard, Marc-Olivier; and Comtois, Alain-Steve (2020) "Efficiency of the Wilks and IPF Formulas at Comparing Maximal Strength Regardless of Bodyweight through Analysis of the Open Powerlifting Database" International Journal of Exercise Science: Vol. 13 : Iss. 4. Compares the Wilks and IPF formulas, concluding that the design of Wilks is sound and it just needs updated constants. 2020-04-07.
- Steven B. Machek, Kent A. Lorenz, Marialice Kern, Andrew J. Galpin, James R. Bagley - Skeletal Muscle Fiber Type and Morphology in a Middle-Aged Elite Male Powerlifter Using Anabolic Steroids. Extends the known physiological limits of human muscle size and strength. Journal of Science in Sport and Exercise. 2019-10-18.
- Steven Machek, MS, CSCS - Total Creatine and Creatine-Associated Markers in Relation to Wilks Coefficient. Total muscle creatine content is not a significant predictor of powerlifting performance. Presented at the International Society of Sports Nutrition, 16th Annual Conference. 2019-06-15.
- Marisa Brooks - Powerlifting in the USA. Grad school presentation, UIUC Library and Information Sciences. Investigates participation trends across USA regions from 2016 through 2018. 2019-05-03.
- Stronger By Science - How Sex, Strength, and Age Affect Strength Gains in Powerlifters. Factors assumed to predict rate of strength increase are less well-correlated than commonly believed. 2018-07-05.
- Peidi Wu - A Better Wilks Formula. Proposes a new ranking formula based on Z-scores. 2018-05-23.
- Elias Oziolor, Ph.D. - Getting old? You can still lift! Examines the relationship between age and total, concluding that age is less of a factor than commonly believed — "detraining" with age is mostly due to bodyweight loss. 2018-05-21.
- Stronger By Science - How to Get Strong: What is Strong? Powerlifters, on the whole, don't seem to be meaningfully improving. However, the number of competitors has increased almost 5-fold, which accounts for the increases we've seen in world records and top-level competition. More USAPL strength analytics. 2017-04-18.
- Greg Nuckols - Group Data Don't Tell You Much About Individuals. Very clear group trends in "strength gained per day" mask the tremendous variability between individuals. 2017-04-24.
- Powerlifting Today. Alternate presentation of our data, especially intended for the Powerlifting Spain community. 2017-2018.
OpenPowerlifting data is contributed to the public domain.
The OpenPowerlifting database contains facts that, in and of themselves, are not protected by copyright law. However, the copyright laws of some jurisdictions may cover database design and structure.
To the extent possible under law, all data (*.csv) on this website is waived of all copyright and related or neighboring rights. The work is published from the United States.
Although you are under no requirement to do so, if you incorporate OpenPowerlifting data into your project, please consider adding a statement of attribution, so that people may know about this project and help contribute data.
Sample attribution text:
This page uses data from the OpenPowerlifting project, https://www.openpowerlifting.org. You may download a copy of the data at https://gitlab.com/openpowerlifting/opl-data.
If you modify the data or add useful new data, please consider contributing the changes back so the entire powerlifting community may benefit.
Source Code Licensing
All OpenPowerlifting code is Free/Libre Software under the GNU AGPLv3+.