Why this matters
Smoothness depends on consistency. Percentiles and spike analysis detect microstutter before users complain.
What this tool does
Analyze frame-time samples to quantify jitter, spikes, and percentile stability beyond average FPS.
Calculation model
The tool parses numeric samples, computes descriptive statistics and percentile bands, then flags spikes above a configurable threshold.
Result interpretation
Low variance and low high-percentile times indicate smoother gameplay. Large spike counts point to stutter-prone sessions.
Limits and validation
Sample quality drives output quality. Capture windows that are too short can hide intermittent stutter behavior.
Use Cases
- Standardize your settings before ranked sessions and tournaments.
- Keep consistent aim behavior while switching between shooter titles.
- Document and share reproducible sensitivity settings with teammates.
Frequently Asked Questions
Why not rely only on average FPS?
Average FPS hides frame pacing instability. Frametime variance exposes stutter and jitter directly.
What is the 1% low proxy in this tool?
It is approximated from high frametime percentiles and converted to FPS for comparability.
How many samples should I provide?
At least 50 samples is recommended. More samples improve confidence for percentile analysis.
Are non-numeric tokens allowed?
Yes. Non-numeric tokens are ignored and counted so data quality remains transparent.
How should I use spike count?
Use it as a consistency signal. Fewer spikes generally means fewer perceptible stutters.
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