How Do DOTS Scores Differ by Weight Class?

Introduction

A DOTS score by weight class gives a different view of powerlifting performance than a list of records. DOTS adjusts a competition total for bodyweight, so lifters of different sizes can be compared on one scale. But do the scores recorded in real meets have the same distribution in every class?

We use recent raw, full-power results from OpenPowerlifting to examine the middle of each class, the spread around it, and the upper end. The charts and tables below update with the Trend Radar dataset. They describe the included performances; they are not targets that every lifter should reach or evidence that bodyweight class causes a particular score.

Men: DOTS Score by Weight Class

Read the chart from left to right to compare median scores across the included men's classes. The table adds the sample size and spread, so a difference between two bars can be viewed in context.

Women: DOTS by Weight Class

The women's results are presented separately because DOTS uses sex-specific coefficients and the competition populations differ. Compare classes within this section while keeping the number of included performances in view.

What Does This Mean for Your DOTS Score?

Find the class that matches your competition weigh-in, then use its median and quartiles as a reference for the performances in this dataset. These rows preserve the reported class labels across federations, whose limits and competitive pools can differ. They are not one universal class ladder. Check the rules for your meet; our Powerlifting Weight Classes guide and checker can help you understand the boundaries.

N is the number of qualifying performances. Median DOTS is the middle observed score: roughly half of included results fall on either side. Q1 and Q3 mark the 25th and 75th percentiles, enclosing the middle half. P90 is the 90th percentile, with roughly one in ten included performances above it. These are summaries of results, not official performance standards.

Why Median DOTS Matters

The mean adds the scores and divides by N. A few unusually high or low results can move it. The median identifies the midpoint of the observed distribution and is often a steadier description of a typical result. We show both: the chart emphasizes the median, while the table lets you see whether the mean tells a different story.

Look at Q1 and Q3 alongside the median. A wider gap means the middle half of results is more spread out; a narrow gap means those results are closer together. P90 adds an upper-end reference without reducing the analysis to record holders.

Can You Compare Your Score Directly With a Weight Class?

You can compare your competition DOTS with this dataset as a descriptive benchmark, especially when the sex, equipment, event type and rules match. The table does not rank every powerlifter or predict your placing at a future meet. Participation, federation mix, experience and geography can change the observed distribution even when the DOTS formula stays the same.

For broader editorial milestones, read What Is a Good DOTS Score?. To understand why another formula may produce a different result, see DOTS vs Wilks vs IPF GL. If you are comparing kilograms lifted rather than bodyweight-adjusted performance, start with How Strong Am I? Understanding Your Powerlifting Total.

The live methodology and dataset refresh information below come from the same analysis as the charts and tables. The analysis is generated from OpenPowerlifting competition data and reviewed before publication.

Limitations

The limitations supplied by the data analysis appear directly above. This is a descriptive study of recorded performances, not a controlled experiment or proof that a weight class causes differences in strength. Results may change when new meets are synced, and smaller classes warrant more caution when reading percentiles.

Data Source

Competition data: OpenPowerlifting. The Powerlifting Calculator Trend Radar processes these results into the live summaries shown here. For the DOTS formula and the calculator's boundaries, see our formulas and methodology.