YE_CHAN

YE_CHAN — CS2 Stats

76561198166642622[U:1:206376894]Steam profile ↗

256Tracked matches70%Win rate2025Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim67
Positioning48
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY60337Last 10060%Win rateWLLWLLWWWW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.7
Aggression4.8
Utility4.2
Positioning4.8
Opening Duels1.3

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 52% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.7
Positioning4.8
Utility4.2
Mechanics7.5
Opening Duels2.8
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time661ms+2ms
first ⅓ avg 659ms → last ⅓ avg 661ms
Headshot accuracy16.9%+2.9%
first ⅓ avg 14.0% → last ⅓ avg 16.9%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.09Best rating — mirage 13–0
130Biggest win — mirage
8Longest win streak
47In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 69% over 36ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B38201853%-0.01
mirageS36251169%-0.01
cacheS64267%-0.00
ancientC52340%-0.00
infernoA53260%-0.00
overpass42250%-0.01
nuke32167%-0.07
anubis110100%0.02
train110100%-0.03
office1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.5%Spray accuracy
83.9%Counter-strafing
10.1°Preaim
664msReaction time
18.1%T opening success
52.3%CT opening success
0.56Enemies flashed / flash
6.6%Flash assists
5.50HE damage / grenade
13.10Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 18.1477% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–11-0.0324%21 Jul
dust210–13-0.0425%21 Jul
ancient0–2-0.060%21 Jul
dust213–20.0215%15 Jul
dust25–13-0.049%12 Jul
mirage10–13-0.068%8 Jul
mirage13–70.0635%8 Jul
mirage13–11-0.0712%7 Jul
mirage13–00.0921%3 Jul
cache13–7-0.0021%3 Jul
mirage13–7-0.069%3 Jul
dust213–2-0.036%3 Jul
mirage13–9-0.0112%27 Jun
dust213–8-0.0510%19 Jun
cache12–12-0.0124%19 Jun
anubis13–10.0226%14 Jun
dust213–6-0.0134%10 Jun
mirage9–13-0.0526%10 Jun
dust211–13-0.0418%10 Jun
cache13–20.0413%7 Jun
dust26–13-0.0529%5 Jun
dust28–130.029%4 Jun
cache12–12-0.0432%4 Jun
mirage13–10-0.0121%29 May
mirage13–30.095%29 May
dust213–30.0615%29 May
cache13–8-0.0415%26 May
dust213–70.0619%13 May
overpass12–12-0.065%5 May
cache13–70.0513%4 May
mirage13–10-0.0615%4 May
mirage13–100.0317%29 Apr
mirage4–13-0.0415%28 Apr
dust212–12-0.0714%24 Apr
mirage11–13-0.0410%22 Apr
dust213–40.0413%22 Apr
train13–4-0.0317%22 Apr
ancient5–13-0.0128%11 Apr
dust23–00.040%11 Apr
dust213–0-0.0129%9 Apr
mirage13–80.0123%9 Apr
mirage13–50.0111%9 Apr
mirage13–11-0.0310%1 Apr
dust211–13-0.098%1 Apr
dust212–12-0.0511%31 Mar
mirage10–13-0.0816%30 Mar
dust213–80.0015%29 Mar
mirage13–40.0113%29 Mar
mirage13–10-0.0316%29 Mar
dust213–10-0.0115%28 Mar
mirage11–13-0.068%27 Mar
mirage13–7-0.0313%25 Mar
dust213–90.047%25 Mar
dust213–60.0213%23 Mar
dust25–13-0.0714%21 Mar
mirage13–9-0.0412%21 Mar
office9–13-0.0411%18 Mar
ancient13–70.0112%16 Mar
dust213–2-0.0921%16 Mar
dust213–4-0.0124%14 Mar
mirage13–6-0.0218%13 Mar
dust20–13-0.085%12 Mar
overpass13–80.0110%11 Mar
overpass13–11-0.0316%11 Mar
inferno13–7-0.069%10 Mar
dust29–130.0212%8 Mar
mirage8–130.0410%8 Mar
nuke10–8-0.0510%5 Mar
dust23–13-0.037%3 Mar
mirage13–2-0.0410%2 Mar
mirage13–20.0113%2 Mar
mirage13–40.0211%1 Mar
nuke5–13-0.1113%28 Feb
ancient2–13-0.0212%28 Feb
dust213–6-0.0424%27 Feb
inferno2–13-0.0117%27 Feb
dust213–60.0615%27 Feb
nuke13–6-0.0319%26 Feb
mirage8–13-0.0334%26 Feb
dust213–5-0.0216%26 Feb
dust211–130.0312%25 Feb
mirage10–130.0014%25 Feb
mirage13–8-0.025%25 Feb
dust213–10-0.0220%25 Feb
inferno1–60.066%24 Feb
overpass10–130.0514%24 Feb
dust29–13-0.052%22 Feb
dust26–13-0.0510%22 Feb
inferno13–7-0.013%21 Feb
ancient13–10.0521%21 Feb
mirage13–6-0.018%21 Feb
dust211–13-0.0110%21 Feb
dust27–130.0212%20 Feb
dust212–120.0132%20 Feb
inferno13–10.0120%20 Feb
mirage10–130.0119%20 Feb
dust213–8-0.0214%20 Feb
mirage13–9-0.0417%20 Feb
mirage12–12-0.0512%19 Feb
mirage6–00.0110%19 Feb

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →