Just an Asian

Just an Asian — CS2 Stats

76561198090853307[U:1:130587579]Steam profile ↗✓ No bans

783Tracked matches36%Win rate2020Tracked since
1,312Hours in CS
CSDB Rating4.6 DevelopingPositional Player
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,618 +2,514 11 Nov – 18 Mar · 29 days played
15,05719,883peak 19,88311 Nov18 Mar
19,999Peak Premier in tracked matches
1,241Highest Faceit ELO seen on CSDB
54Days played since 2024-11-11

Faceit ELO

  • At peak — 1,241
  • Next: Level 7 at 1,351 — 110 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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

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CSDB.GGJust an AsianPEAK ELO1,241csdb.gg/stats

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Performance scores

Aim67
Positioning53
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateTWWLWLWLWL

Last 10 vs previous 10: +30pp win rate · +0.07 avg rating · +7.0pp headshot accuracy · −20ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 620ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 671ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 681ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim6.7
Utility3.4
Positioning5.3
Opening Duels3.9
Clutch3.2

Limited utility dependence

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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 667ms 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
Positioning5.3
Utility3.4
Mechanics8.1
Opening Duels3.4
Win Impact0.2

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time671ms−20ms
first ⅓ avg 691ms → last ⅓ avg 671ms
Headshot accuracy20.9%−2.2%
first ⅓ avg 23.1% → last ⅓ avg 20.9%

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.

Personal bests

0.15Best match rating · 13–2 · mirage, 13 Jan →
44%Best headshot accuracy · 3–13 · nuke, 14 Jan →
445msFastest reaction time · 3–13 · inferno, 13 Nov →
13–2Biggest win · mirage, 13 Jan →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 67% over 9dust2Weakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%0.00
mirageC176–1135%0.00
ancientC156–940%-0.04
anubisS96–367%-0.02
dust2D93–633%-0.01
nukeC94–544%-0.03
cacheB84–450%0.05
train—31–233%-0.02
vertigo—31–233%-0.04
overpass—11–0100%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,202Lifetime kills
0.99K/D
2,550Matches
47.0%Match win rate · Top 50% of tracked players
47.6%Headshot % · Top 50% of tracked players
16.5%Shot accuracy · Top 25% of tracked players
7,330MVPs
1,312Hours (in match)
2,632Bombs planted
639Bombs defused

Most-used weapons

AK-4717,863
AWP7,277
P2501,281
SSG 081,162
Knife1,017
MP9979

Lifetime map wins

7,536inferno
3,535dust2
1,597train
935nuke
578vertigo
540cbble
43lake
14ar_baggage

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

Faceit stats

Combat

1,125Matches
51%Win rate
1.09Avg K/D
82.9ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3847%1.0315.1
Dust22756%1.2217.0
Mirage1656%1.2318.4
Ancient1560%0.8315.5
Nuke1540%0.9315.7
Anubis1050%1.0818.3
Overpass933%0.9417.0
Cache3100%2.2523.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

21.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.1%Spray accuracy
86.3%Counter-strafing
9.3°Preaim
667msReaction time
46.2%T opening success
41.4%CT opening success
0.65Enemies flashed / flash
5.5%Flash assists
7.66HE damage / grenade
3.53Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5276 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–120.0231%8 Jul →
train10–20.0329%8 Jul →
cache13–60.0021%4 May →
cache11–130.0721%3 May →
cache13–60.0628%1 May →
cache6–13-0.0138%1 May →
cache13–40.1229%1 May →
cache7–130.0423%29 Apr →
cache13–100.0927%26 Apr →
train1–3-0.010%25 Apr →
mirage7–13-0.0226%25 Apr →
ancient8–13-0.0115%6 Apr →
anubis13–50.0513%5 Apr →
overpass13–100.0412%5 Apr →
vertigo7–13-0.0517%22 Mar →
ancient7–13-0.0615%6 Feb →
dust28–13-0.0421%6 Feb →
ancient15–15-0.0916%2 Jan →
mirage8–13-0.0624%26 Dec →
dust27–13-0.0921%16 Dec →
inferno13–4-0.0026%14 Dec →
nuke10–13-0.0323%8 Dec →
inferno10–13-0.0421%16 Sept →
mirage16–140.0220%12 Sept →
inferno8–130.0614%12 Sept →
dust210–13-0.0320%9 Jun →
nuke13–5-0.0223%18 Mar →
anubis13–16-0.0014%18 Mar →
anubis4–13-0.0917%16 Mar →
inferno7–13-0.0225%5 Mar →
train3–13-0.0724%22 Feb →
nuke13–11-0.0323%19 Feb →
inferno6–13-0.0313%18 Feb →
ancient13–90.0116%18 Feb →
mirage7–13-0.0121%16 Feb →
ancient2–13-0.0317%14 Feb →
dust27–13-0.0412%14 Feb →
anubis13–11-0.0215%14 Feb →
mirage5–13-0.0514%12 Feb →
ancient13–6-0.077%12 Feb →
inferno13–70.0320%12 Feb →
mirage7–130.0527%12 Feb →
ancient12–16-0.0514%11 Feb →
nuke3–13-0.0818%10 Feb →
inferno13–5-0.0515%10 Feb →
anubis10–13-0.0418%10 Feb →
ancient13–10-0.0313%10 Feb →
nuke9–13-0.0739%9 Feb →
inferno15–15-0.0117%9 Feb →
anubis13–7-0.0010%9 Feb →
inferno13–7-0.0216%9 Feb →
inferno9–13-0.0016%9 Feb →
inferno13–110.0617%8 Feb →
ancient13–50.0420%8 Feb →
inferno13–11-0.0629%8 Feb →
dust215–150.0215%8 Feb →
anubis13–80.009%8 Feb →
inferno13–100.0822%8 Feb →
mirage8–13-0.0225%8 Feb →
mirage7–13-0.0419%7 Feb →
anubis13–10-0.0020%6 Feb →
dust216–140.0016%5 Feb →
dust213–90.0216%2 Feb →
inferno15–15-0.0416%26 Jan →
mirage13–110.0117%26 Jan →
inferno13–40.1037%26 Jan →
mirage15–15-0.0417%17 Jan →
mirage13–90.0022%17 Jan →
inferno15–15-0.0315%16 Jan →
ancient7–13-0.089%15 Jan →
mirage13–10-0.0216%15 Jan →
dust26–13-0.0128%15 Jan →
ancient13–50.0213%15 Jan →
nuke13–100.0317%14 Jan →
nuke3–13-0.0644%14 Jan →
nuke11–13-0.0126%13 Jan →
mirage13–20.1532%13 Jan →
inferno13–110.1132%13 Jan →
dust213–70.0921%12 Jan →
inferno3–13-0.0214%27 Dec →
inferno16–19-0.0521%19 Dec →
inferno13–100.0023%19 Dec →
anubis13–10-0.035%19 Dec →
inferno13–20.0531%17 Dec →
ancient13–7-0.0018%17 Dec →
inferno10–13-0.0114%17 Dec →
inferno6–13-0.0224%16 Dec →
mirage14–16-0.0021%12 Dec →
vertigo4–13-0.0835%1 Dec →
mirage9–130.0226%1 Dec →
ancient4–130.0221%17 Nov →
mirage13–11-0.0018%17 Nov →
mirage10–130.0127%15 Nov →
nuke13–50.0343%15 Nov →
inferno3–13-0.0538%13 Nov →
ancient6–13-0.0611%13 Nov →
inferno14–160.0118%12 Nov →
vertigo9–10.0136%12 Nov →
ancient1–13-0.1519%12 Nov →
inferno13–70.0525%11 Nov →

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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