Cheah Kean-weng

Cheah Kean-weng — CS2 Stats

76561198418507019[U:1:458241291]Steam profile ↗

2,410Tracked matches52%Win rate2022Tracked since
1,826Hours in CS10Hrs last 2 wks
CSDB Rating6.5 SolidAggressive Rifler
Premier CS Rating17,482Purple band · top ~18.5% of ranked players (population est.)
CSDB Leaderboard#14357 of 26482 tracked
FaceitLevel 3 · 891 ELOTop 90.6% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 rate47.5%42.1%42.5%above
Shot accuracy12.1%12.1%10.9%above
Kill/death ratio1.100.990.99above
Match win rate44.8%43.9%44.2%meets

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGCheah Kean-wengFACEITLevel 3 · 891 ELOSTANDINGTop 90.6% of rankedPREMIER17,482 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48466Last 10048%Win rateWLLWLWWLWW

Last 10 vs previous 10: +40pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression9.0
Utility5.8
Positioning6.4
Opening Duels4.6
Clutch1.0

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

donk

Plays most like donk 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 60% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim7.3
Positioning6.4
Utility5.8
Mechanics7.8
Opening Duels4.6
Win Impact5.6

Composite 6.5/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time555ms−16ms
first ⅓ avg 571ms → last ⅓ avg 555ms
Headshot accuracy15.3%+0.6%
first ⅓ avg 14.7% → last ⅓ avg 15.3%

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

0.10Best rating — nuke 13–5
132Biggest win — mirage
6Longest win streak
51In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 75% over 8anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC27121544%0.00
infernoA169756%0.01
mirageA159660%0.01
ancientC94544%0.03
cacheS86275%-0.00
anubisD81713%0.00
dust2A74357%0.01
office41325%0.02
train31233%0.04
vertigo21150%0.01
overpass1010%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,609Lifetime kills
1.10K/D · Top 50% of Level 3 players
2,901Matches
44.8%Match win rate · Top 50% of Level 3 players
47.5%Headshot % · Top 50% of Level 3 players
12.1%Shot accuracy · Top 50% of Level 3 players
5,985MVPs
1,020Hours (in match)
2,146Bombs planted
767Bombs defused

Most-used weapons

AK-4714,550
AWP8,313
MP91,815
SSG 081,789
MAG-71,199

Lifetime map wins

8,598nuke
3,242inferno
2,347dust2
1,403vertigo
643office
327train
33lake
6italy

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

Faceit stats

Combat

64Matches
47%Win rate
1.22Avg K/D
71.7ADR
43%Headshot %

Clutches & streaks

25%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1747%1.2316.2
Inferno757%1.1315.9
Vertigo729%1.2418.6
Anubis633%0.8714.0
Dust2667%1.0915.3
Nuke650%1.3415.8
Overpass580%2.3612.4
Ancient40%1.0219.3

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.

15.0%Headshot accuracy
39.4%Accuracy (enemy spotted)
41.7%Spray accuracy
85.3%Counter-strafing
13.1°Preaim
555msReaction time
37.4%T opening success
59.7%CT opening success
0.57Enemies flashed / flash
11.0%Flash assists
10.08HE damage / grenade
10.33Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1418° — above the 12° mark we flag

    Aim Training
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–90.0915%29 Aug
mirage10–13-0.058%27 Aug
ancient8–13-0.0310%27 Aug
mirage13–2-0.0118%27 Aug
inferno8–130.0213%27 Aug
inferno13–70.0817%25 Aug
nuke13–5-0.0310%25 Aug
nuke4–13-0.0143%22 Aug
nuke13–10-0.0325%22 Aug
mirage13–90.077%21 Aug
nuke9–130.058%21 Aug
dust25–13-0.067%19 Aug
inferno1–13-0.057%19 Aug
ancient9–13-0.0118%18 Aug
train13–7-0.0022%18 Aug
train5–130.0824%18 Aug
nuke13–100.0716%14 Aug
train7–130.0326%13 Aug
nuke12–120.0529%13 Aug
nuke7–13-0.0215%12 Aug
nuke13–9-0.019%12 Aug
nuke13–110.059%11 Aug
mirage13–70.027%11 Aug
nuke6–13-0.0223%11 Aug
dust216–120.0416%10 Aug
inferno13–8-0.0511%9 Aug
ancient13–40.0913%9 Aug
mirage8–13-0.0112%9 Aug
ancient12–16-0.049%9 Aug
cache13–90.0210%9 Aug
office13–80.0515%8 Aug
nuke10–13-0.0823%8 Aug
ancient13–80.0711%8 Aug
anubis4–13-0.0115%7 Aug
nuke8–13-0.0218%7 Aug
ancient13–60.0518%7 Aug
inferno13–30.0011%5 Aug
vertigo5–13-0.0222%4 Aug
vertigo13–70.0425%4 Aug
ancient13–70.079%29 Jul
inferno13–90.075%29 Jul
mirage15–15-0.0313%28 Jul
nuke13–80.048%28 Jul
inferno13–80.0010%27 Jul
mirage13–60.0615%27 Jul
anubis11–60.0310%26 Jul
inferno9–130.0312%26 Jul
inferno16–120.0828%26 Jul
nuke7–13-0.0617%26 Jul
nuke5–13-0.0314%25 Jul
inferno15–150.0320%25 Jul
mirage13–9-0.0118%25 Jul
cache13–9-0.048%24 Jul
nuke13–90.0417%24 Jul
nuke4–13-0.0516%24 Jul
anubis7–130.0315%23 Jul
anubis3–13-0.0110%23 Jul
anubis13–30.0212%23 Jul
dust213–110.0432%22 Jul
inferno13–100.078%22 Jul
inferno15–150.0116%21 Jul
inferno10–13-0.0319%21 Jul
dust25–130.0113%21 Jul
cache13–60.009%21 Jul
cache1–13-0.0618%20 Jul
anubis8–13-0.028%20 Jul
inferno5–13-0.0516%20 Jul
cache4–13-0.0521%20 Jul
anubis9–13-0.068%19 Jul
mirage7–13-0.0816%19 Jul
nuke13–50.109%19 Jul
mirage13–10-0.0314%19 Jul
inferno13–80.0619%19 Jul
ancient15–150.0115%19 Jul
dust213–16-0.0118%18 Jul
nuke10–130.0118%18 Jul
mirage13–100.0320%17 Jul
nuke14–160.0312%17 Jul
nuke8–130.0412%16 Jul
mirage12–160.0523%15 Jul
dust213–40.0220%15 Jul
anubis6–130.0314%14 Jul
nuke13–60.0130%14 Jul
cache16–14-0.0212%14 Jul
dust213–100.0714%12 Jul
mirage16–140.0818%12 Jul
nuke13–110.0219%12 Jul
cache13–30.0411%12 Jul
nuke10–13-0.019%11 Jul
office3–13-0.0120%11 Jul
office8–130.0131%11 Jul
office10–130.0518%8 Jul
nuke12–12-0.026%8 Jul
nuke13–4-0.050%7 Jul
mirage2–13-0.046%6 Jul
ancient9–130.048%6 Jul
mirage13–90.066%6 Jul
nuke13–8-0.059%5 Jul
inferno13–9-0.027%5 Jul
overpass8–13-0.0425%5 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →