The Asian Sensation

The Asian Sensation — CS2 Stats

DK76561198096777923[U:1:136512195]Steam profile ↗✓ No bans

759Tracked matches47%Win rate2021Tracked since
1,187Hours in CS
CSDB Rating3.6 LearningSupport
Premier CS Rating16,997Purple band · top ~20.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Jul 2026 (136 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,997 +3,540 18 Feb – 2 Jul · 19 days played
13,45717,098peak 17,09818 Feb2 Jul
17,203Peak Premier in tracked matches
41Days played since 2025-09-18

Premier CS Rating

  • 101 below peak (17,098)
  • +1,778 over 90 days
  • Next: Pink band at 20,000 — 3,003 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,677), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate34.2%41.8%42.7%8.5% short
Shot accuracy20.6%12.2%11.2%above
Kill/death ratio1.150.980.99above
Match win rate45.3%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThe Asian SensationFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,997 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim45
Positioning32
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLLWWWLWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −48ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 575ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 596ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim4.5
Utility5.0
Positioning3.2
Opening Duels0.0

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5
Positioning3.2
Utility5.0
Mechanics3.2
Opening Duels0.0
Win Impact3.9

Composite 3.6/10 (Learning), 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-0.02−0.06
first ⅓ avg 0.04 → last ⅓ avg -0.02
Reaction time617ms−1ms
first ⅓ avg 618ms → last ⅓ avg 617ms
Headshot accuracy17.4%+1.3%
first ⅓ avg 16.1% → last ⅓ avg 17.4%

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.

Personal bests

0.30Best match rating · 13–1 · nuke, 20 Sept →
42%Best headshot accuracy · 9–13 · mirage, 30 Jan →
422msFastest reaction time · 13–2 · ancient, 28 Feb →
13–1Biggest win · mirage, 13 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 70% over 10anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%-0.01
ancientA169–756%0.00
dust2C146–843%0.02
mirageC146–843%0.02
overpassA127–558%0.01
nukeS107–370%0.05
anubisD62–433%-0.01
train—32–167%0.05
cache—10–10%-0.05
office—10–10%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,501Lifetime kills
1.15K/D · Top 25% of Level 3 players
2,889Matches
45.3%Match win rate · Top 50% of Level 3 players
34.2%Headshot %
20.6%Shot accuracy · Top 5% of Level 3 players
7,168MVPs
1,187Hours (in match)
3,172Bombs planted
665Bombs defused

Most-used weapons

AWP12,730
AK-478,443
UMP-452,544
SG 5532,110
AUG1,529
MAC-101,417

Lifetime map wins

4,649inferno
3,959dust2
1,152train
1,006cbble
611nuke
221vertigo
133office
99bank

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

17.9%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.9%Spray accuracy
64.2%Counter-strafing
11.1°Preaim
612msReaction time
23.3%T opening success
22.1%CT opening success
0.56Enemies flashed / flash
1.2%Flash assists
12.20HE damage / grenade
6.16Flashes / 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 23.2833% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–16-0.0412%2 Jul →
inferno4–13-0.0514%28 Jun →
ancient12–50.0211%28 Jun →
nuke16–13-0.0517%26 Jun →
ancient13–6-0.0115%11 May →
cache8–13-0.0527%11 May →
anubis13–3-0.0215%10 Apr →
nuke13–40.0110%10 Apr →
ancient9–13-0.0332%10 Apr →
ancient13–60.0216%10 Apr →
inferno8–130.0313%10 Apr →
inferno7–13-0.0721%9 Apr →
mirage13–60.0624%9 Apr →
mirage13–9-0.076%8 Apr →
inferno11–13-0.0415%6 Apr →
ancient13–11-0.0327%6 Apr →
inferno13–3-0.0117%6 Apr →
inferno9–13-0.0114%5 Apr →
inferno13–160.0425%29 Mar →
dust25–130.0241%28 Mar →
mirage14–160.0113%28 Mar →
overpass16–12-0.0123%28 Mar →
dust27–13-0.0714%27 Mar →
inferno10–13-0.0714%27 Mar →
nuke8–13-0.0313%23 Mar →
inferno13–70.0021%23 Mar →
ancient2–13-0.0527%9 Mar →
overpass1–13-0.0811%9 Mar →
inferno13–9-0.0416%1 Mar →
overpass13–4-0.0414%1 Mar →
inferno13–9-0.065%1 Mar →
nuke13–100.0220%28 Feb →
anubis8–13-0.0214%28 Feb →
overpass13–90.0218%28 Feb →
nuke13–50.1225%28 Feb →
ancient13–20.0218%28 Feb →
mirage13–10-0.0213%22 Feb →
ancient13–70.0110%19 Feb →
inferno8–13-0.0410%19 Feb →
overpass13–10-0.0412%19 Feb →
mirage11–130.0514%18 Feb →
dust213–10-0.014%18 Feb →
inferno13–20.046%15 Feb →
mirage13–70.0219%15 Feb →
dust213–90.0519%14 Feb →
dust211–130.0111%14 Feb →
dust28–13-0.0316%14 Feb →
mirage13–100.0514%13 Feb →
dust213–60.0121%13 Feb →
mirage13–10.0816%13 Feb →
ancient9–13-0.0319%11 Feb →
ancient8–13-0.0523%11 Feb →
nuke13–50.1116%11 Feb →
dust27–130.0719%1 Feb →
ancient5–13-0.0812%1 Feb →
anubis6–13-0.053%1 Feb →
inferno15–15-0.0610%1 Feb →
dust29–130.0423%1 Feb →
mirage10–130.0516%31 Jan →
nuke13–110.058%31 Jan →
inferno10–130.0126%31 Jan →
inferno10–13-0.0017%30 Jan →
mirage9–13-0.0442%30 Jan →
mirage15–15-0.0318%30 Jan →
anubis13–40.0319%30 Jan →
overpass5–130.0216%30 Jan →
inferno13–50.0321%18 Jan →
overpass15–15-0.0022%18 Jan →
mirage8–13-0.0311%17 Dec →
overpass13–60.0512%12 Dec →
ancient13–100.0123%10 Dec →
inferno13–10-0.0313%26 Oct →
inferno13–11-0.0217%26 Oct →
overpass7–90.1513%23 Oct →
overpass13–70.0219%17 Oct →
dust215–150.099%17 Oct →
dust213–70.0338%17 Oct →
dust213–110.0825%15 Oct →
ancient11–130.0825%15 Oct →
mirage11–130.0518%15 Oct →
anubis2–13-0.0319%28 Sept →
ancient13–80.0215%28 Sept →
train13–90.1112%27 Sept →
overpass9–130.0116%27 Sept →
inferno8–13-0.057%27 Sept →
inferno13–30.099%27 Sept →
dust213–20.0521%27 Sept →
mirage5–130.0619%26 Sept →
inferno13–100.0312%26 Sept →
ancient7–130.127%26 Sept →
office9–130.0412%26 Sept →
overpass13–9-0.0312%21 Sept →
inferno12–20.0114%21 Sept →
ancient13–110.0311%20 Sept →
train12–120.0510%20 Sept →
nuke9–13-0.0219%20 Sept →
nuke13–10.3021%20 Sept →
train13–10-0.0319%19 Sept →
anubis8–130.0518%19 Sept →
nuke9–13-0.0113%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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