Track your erg training for HYROX race day
The 1,000m row is one of the most decisive stations in HYROX. Watta helps you prepare by logging every erg session with AI-powered OCR, tracking your pacing consistency, and building the aerobic base that separates finishers from podium athletes.
The Problem
The 1K row can make or break your HYROX time
Many HYROX athletes underestimate the rower station. Going out too fast leads to devastated legs for the remaining stations. Without tracking your erg pacing in training, you are guessing on race day.
Erg-specific training data is scattered
HYROX athletes use multiple tools for running, strength, and functional fitness but rarely have dedicated tracking for their rowing sessions. Erg data ends up in screenshots or forgotten entirely.
No pacing feedback for race simulation
Most fitness apps treat rowing as generic cardio. They do not capture split times, stroke rate, or pacing data that HYROX athletes need to develop a consistent and repeatable 1K row strategy.
How Watta Helps
AI Photo Logging
Snap your Concept2 screen after every rowing session. Watta reads your 1K time, split, stroke rate, and more automatically. Focus on training, not data entry.
Pacing Analysis
The Effort Score's pacing component (15% weight) rewards consistent splits. Train yourself to hold an even pace on the rower so you arrive at the next HYROX station ready to perform.
SkiErg & BikeErg Support
Watta tracks all three Concept2 machines — RowErg, SkiErg, and BikeErg. If your HYROX training includes ski erg work for the SkiErg station, log it all in one place.
How It Works
Snap your erg screen
Take a photo of your PM5 display after your workout. Gallery upload works too.
AI extracts your data
Watta reads every metric — time, split, distance, stroke rate, heart rate, and calories.
Get your Effort Score
A 0-100 score combining cardiac load, work output, pacing, and economy shows exactly how hard you worked.
Frequently Asked Questions
Related Content
Every erg counts.
Download Watta and start turning your erg sessions into data-driven training.
