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Valorant Player Analyzes 1,000 Flicks Using Custom Computer Vision Tool
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A Valorant player who has reached Immortal multiple times developed a custom computer vision tool to analyze 1,000 recorded flicks. The tool classifies shots into overflicks, underflicks, head hits, and off-trajectory whiffs, focusing on first-shot accuracy and crosshair placement to identify why shots are missed.
At a glance
- Player built a custom computer vision tool to analyze 1,000 recorded flicks.
- Shots are classified into overflicks, underflicks, head hits, and off-trajectory whiffs.
- The tool focuses on first-shot accuracy and crosshair placement, unlike standard stat trackers.
- The player has offered to share the tool with the community.
A dedicated Valorant player, who has achieved Immortal rank multiple times since the beta, has shared a detailed analysis of their aim mechanics. Frustrated by persistent missed shots in a game that increasingly relies on 1v1 duels, the player built a custom computer vision tool to process their gameplay in real-time. The tool extracts data from 1,000 recorded flicks, classifying each attempt into four specific categories: overflicks, underflicks, direct head hits, and off-trajectory whiffs. Unlike standard stat trackers, which often calculate headshot percentages based only on bullets that hit enemies, this custom tool accounts for missed shots to provide a more accurate picture of first-shot accuracy. The analysis also evaluates crosshair placement at the moment enemies appear. The player notes that this specific breakdown of flick trajectories and initial accuracy is not available in typical tracking software. They have offered to share the tool with the community, inviting others to test it and potentially gain similar insights into their own aiming habits. This community-driven approach highlights the growing trend of players using custom data analysis to refine their mechanical skills in competitive play.