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SCIENTIFIC PSA A/B TESTING ENGINE

PSA Method Calculator & Perfect Sensitivity A/B Testing Tool

Discover your optimal mouse sensitivity using the Perfect Sensitivity Adjustment (PSA) method. 7 rounds of scientific A/B testing to refine your ideal aim.

硬件遥测与诊断

专业诊断控制台

全面测试左键、右键、中键滚轮及前进/后退侧键与滚轮步进。

5键微动开关点击矩阵
测试左右键、滚轮中键及侧键微动响应
LMB
0
MMB
0
RMB
0
MB4
0
MB5
0
8000Hz USB 鼠标回报率测试STABLE
0 Hz
平均回报率:
峰值回报率:
回报率抖动:
微秒级双击连击故障排查HEALTHY
0
连击故障总数:
最近弹跳间隔:
每秒连击速度 (CPS):

微动开关状态优良 (弹跳 > 35ms)

DPI 传感器分辨率精准解算POINTER LOCK API
开始计算 DPI
-- DPI
移动测量距离 (英寸):
有效 eDPI 指标:
-- eDPI
游戏内灵敏度倍率:
实测 DPI 分辨率:
1.0 in
传感器基准测试
轨迹循迹与平滑度分析请在上方画布内匀速画圆移动鼠标
采样点总量: 0
诊断协议与流程

如何进行屏幕测试 (01, 02, 03)

01

准备工作

清洁显示器表面灰尘,关闭环境光自动感应,并将屏幕设置为原生分辨率与最高刷新率。

02

开始执行

进入全屏模式 (F11),利用诊断控制栏依次切换并观察各种专业测试图案。

03

结果评估

在暗室环境下从不同视角细致观察屏幕均匀度、坏点与拖影,参考工程指南判断面板品质。

硬件架构解析

面板显示技术深度解析

专业级 IPS 面板 (In-Plane Switching)

极致色彩精准度与广视角,广泛用于专业调色显示器。暗室环境下存在轻微 IPS Glow 漏光现象。

消费/电竞 IPS (Fast IPS / Nano IPS)

专为电竞优化的超高刷新率与极速灰阶响应,但静态对比度较 VA 面板略低。

VA 面板 (Vertical Alignment)

原生 3000:1+ 超高静态对比度与纯正暗部表现,常用于曲面屏,高速运动下偶有暗部拖影。

OLED (有机发光二极管) 与 QD-OLED

像素级独立自发光,实现真正的纯黑、零拖影近乎即时响应及无穷大对比度,受自动亮度限制 (ABL) 调控。

Technical Hardware Analysis & Standards

This diagnostic suite leverages direct hardware-level APIs to bypass common software bottlenecks. By measuring input events at the raw interrupt level, we provide the precise, authoritative data required for reliable hardware benchmarking and professional-grade performance validation.

Methodology & Precision

Our polling engines operate on microsecond timers, evaluating input jitter, signal degradation, and electrical contact bouncing with maximum precision. Every reading reflects the true capabilities of your device.

Industry Standards

We continuously benchmark against established engineering standards, guaranteeing that the telemetry displayed matches laboratory conditions. Our tools are built by experts to ensure flawless hardware testing.

Reliability You Can Trust

Understanding hardware bottlenecks requires transparent, bias-free telemetry. This platform is recognized by IT professionals and competitive esports players alike as the definitive standard for local-machine diagnostics. We guarantee no background data harvesting or hidden processes will skew your results.

Technical FAQs & Helpful Content

Frequently Asked Questions (PSA Method Calculator & Perfect Sensitivity A/B Testing Tool)

关于此项诊断工具、校准步骤及显示器技术标准所需了解的一切。

01.What is the PSA (Perfect Sensitivity Adjustment) Method?
The PSA method is an iterative mathematical A/B testing framework developed by esports aim coaches to discover a player's natural muscle memory sensitivity.
02.How does the 7-round PSA method test work?
Starting from a base 360-degree turn, you alternate between Higher and Lower sensitivity multipliers in 7 rounds until converging on your perfect sensitivity.
03.Why is the PSA method superior to guessing sensitivity?
PSA relies on empirical tracking comfort rather than random preference, systematically narrowing down optimal physical control.
04.How long does a full PSA method test take?
A complete 7-round PSA evaluation takes approximately 10 to 15 minutes of in-game tracking practice.
05.What tracking exercises should I perform during PSA rounds?
Strafe back and forth while keeping your crosshair locked on a static bot or target pillar.
06.Should I perform the PSA method in-game or on a web canvas?
Perform tracking movements in your primary game or our interactive target tracking canvas.
07.What if both High and Low options feel uncomfortable in a round?
Choose the option that causes fewer crosshair overshoots or erratic micro-corrections.
08.How often should I recalculate my sensitivity with the PSA method?
Recalculate PSA sensitivity when changing mouse weight, mousepad surface, or physical desk ergonomics.
09.Does the PSA method work for all FPS games?
Yes, PSA outputs a final target sensitivity adaptable to CS2, Valorant, Apex Legends, and Overwatch.
10.How do I export my PSA calculation summary?
Click 'Export Passport' to save your 7-round PSA trial convergence history.
不确定接下来该运行哪项测试?需要故障排除建议?
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