IPSC performance heatmaps
Visual distribution of athletes by hit factor vs points. Top 3 per stage and division filters.
Heatmaps docs
Identify division-wide performance patterns: where most athletes cluster on points and hit factors, and who stands out on each stage.
Heatmaps in action
Features
- HF × points heatmap per division stage
- Top 3 per stage with HF, time and points
- Division filter and "all athletes" mode
References
How to read the heat map in practice
In the hub's heatmaps, each point usually represents an athlete on a track (stage): one axis shows the track's score (or the percentage of the best in the division) and the other the hit factor or time. Higher points and points to the right indicate a strong combination of points and rhythm in that cut; lower or left corners suggest loss of accuracy, overtime, or both — always compare athletes from the same division and category for a fair reading on the IPSC.
Within-division comparison
Reading becomes more useful when you compare athletes in the same competitive context, avoiding distorted analyses.
Application in the training cycle
The heat map speeds up training prioritization: rhythm between targets, transitions, recoil control and shot decision depending on the type of track (short, medium or long on the course).
Continue in the Scoring Services ecosystem
This article is part of /pages/ipsc-guide. To apply it in practice, open a test at https://im.scoring.services/list or follow the steps at /matches. Recreational athletes can start with the comprehensive guide at /tiro-practico-guide-completo.
After the heatmap
Open /pages/stage-data-analysis in the worst regions of the map and validate in /tools against a reference athlete.
How to read heatmap quadrants
Top right (lots of points + high hit factor) = excellent performance. Bottom left (few points + low HF) = needs improvement. Many points with low HF = needs to be faster; High HF with few points = needs to be more precise. Use this to decide whether to train speed or accuracy and compare with athletes in the same division.
Frequently asked questions
Is heat map difficult for beginners?
No. The visualization was designed to facilitate immediate reading of performance in relation to other athletes in the same group.
Is it suitable for coaches and athletes?
Yes. It works well for both self-management and technical team monitoring.
Can I use it with filters?
Yes, with division and category the analysis becomes even more precise.
What is the heat map for in the room?
Shows the relationship between accuracy, points and pace in the division — ideal for seeing whether you should prioritize speed or hits. Context in /pages/ipsc-analysis-guide.
How do I read heatmap axes and colors?
The X-axis shows the points (accuracy) and the Y-axis shows the hit factor (overall performance). Each point is an athlete on that track; Darker/blue colors indicate better performance and lighter/yellow colors indicate worse. Mouse over to see name, points, HF and time.