George W Kush — CS2 Stats

76561198079735671[U:1:119469943]✓ No bans

551Tracked matches43%Win rate2023Tracked since
CSDB Rating2.9 Learning
Premier CS Rating3,853Grey band · top ~83.7% of ranked players (population est.)
CSDB Leaderboard#34473 of 44535 tracked
Ladder ranks via Leetify

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CSDB.GGGeorge W KushPREMIER3,853 · Grey bandcsdb.gg/stats

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Performance scores

Aim30
Positioning32
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY43561Last 10043%Win rateLWLLWLWLWL

Last 10 vs previous 10: +0pp win rate · +0.05 avg rating

Player DNA

Aim3.0
Aggression0.0
Utility3.4
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.

Your pro match

NiKo

Plays most like NiKo 59% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 674ms 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

Aim3.0
Positioning3.2
Utility3.4
Mechanics5.8
Opening Duels0.0
Win Impact2.8

Composite 2.9/10 (Learning), 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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time674ms−51ms
first ⅓ avg 725ms → last ⅓ avg 674ms
Headshot accuracy14.9%−2.9%
first ⅓ avg 17.8% → last ⅓ avg 14.9%

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

0.23Best rating — mirage 13–4
130Biggest win — nuke
6Longest win streak
87In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 62% over 13ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC24101442%-0.03
anubisC135838%-0.03
infernoA138562%-0.03
overpassA106460%-0.01
mirageA95456%0.01
officeD82625%-0.03
cacheC73443%-0.05
ancientD61517%-0.06
dust241325%-0.04
train42250%-0.03
boulder1010%-0.05
shelter1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). 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.

14.8%Headshot accuracy
30.4%Accuracy (enemy spotted)
24.6%Spray accuracy
76.0%Counter-strafing
12.4°Preaim
674msReaction time
15.6%T opening success
21.8%CT opening success
0.41Enemies flashed / flash
4.0%Flash assists
8.21HE damage / grenade
3.46Flashes / 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 12.3589° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7679% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4052 — below the 0.5 mark we flag

    Grenade Lineups
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0419%29 Aug
mirage13–40.2324%21 Aug
cache9–13-0.056%20 Aug
anubis8–13-0.0210%20 Aug
inferno13–90.0415%19 Aug
dust23–13-0.0612%19 Aug
mirage13–60.0615%19 Aug
ancient5–13-0.0920%18 Aug
anubis13–70.0523%18 Aug
cache8–13-0.0429%17 Aug
cache13–20.0030%17 Aug
cache13–10-0.0514%8 Aug
nuke7–20.0615%6 Aug
ancient6–13-0.049%6 Aug
anubis13–8-0.048%6 Aug
office0–13-0.0715%5 Aug
nuke5–13-0.0921%5 Aug
ancient8–13-0.057%4 Aug
dust211–13-0.098%4 Aug
anubis6–13-0.0319%4 Aug
ancient13–11-0.0312%24 Jul
dust25–00.0223%24 Jul
anubis5–13-0.0320%24 Jul
inferno13–11-0.1012%22 Jul
boulder11–13-0.0527%21 Jul
shelter1–13-0.0210%21 Jul
nuke13–8-0.064%21 Jul
nuke8–13-0.057%16 Jul
nuke13–5-0.0314%14 Jul
cache7–13-0.0510%14 Jul
inferno16–13-0.0514%14 Jul
nuke11–13-0.0711%10 Jul
anubis13–7-0.019%10 Jul
cache13–1-0.1021%7 Jul
mirage9–13-0.0312%6 Jul
nuke7–130.0219%6 Jul
nuke6–13-0.0612%22 Jun
anubis7–13-0.0815%22 Jun
mirage3–13-0.085%16 Jun
mirage13–7-0.0414%16 Jun
mirage13–90.0015%16 Jun
anubis8–13-0.0521%8 May
anubis9–13-0.038%14 Apr
inferno13–11-0.0513%30 Mar
inferno13–80.0214%30 Mar
nuke9–13-0.019%26 Mar
anubis13–50.016%26 Mar
anubis9–13-0.0417%17 Mar
overpass13–90.0917%18 Feb
overpass13–5-0.034%17 Feb
nuke8–13-0.0610%17 Feb
overpass8–13-0.085%17 Feb
overpass13–20.0212%16 Feb
mirage11–13-0.0013%15 Feb
dust26–13-0.0515%15 Feb
inferno3–13-0.0711%14 Feb
overpass13–5-0.0312%14 Feb
mirage13–6-0.0215%12 Feb
anubis13–16-0.0613%12 Feb
inferno13–5-0.0412%11 Feb
nuke11–130.0014%11 Feb
mirage9–13-0.0115%11 Feb
ancient10–13-0.0315%8 Feb
anubis16–14-0.0118%8 Feb
inferno6–13-0.0618%7 Feb
nuke13–2-0.0122%7 Feb
inferno3–13-0.126%29 Jan
nuke13–10-0.0624%29 Jan
nuke4–13-0.0019%24 Jan
nuke13–8-0.0615%23 Jan
office8–13-0.0210%23 Jan
nuke13–11-0.0119%19 Jan
overpass13–5-0.0636%19 Jan
office12–12-0.0521%10 Jan
office2–12-0.0215%8 Jan
nuke4–13-0.0626%7 Jan
nuke7–13-0.0311%4 Jan
overpass10–130.0133%4 Jan
overpass9–13-0.0421%26 Dec
nuke10–13-0.0019%26 Dec
overpass13–100.0213%26 Dec
office6–130.0475%12 Dec
nuke11–13-0.0113%7 Dec
train13–16-0.0416%7 Dec
inferno4–13-0.083%7 Dec
ancient7–13-0.094%2 Dec
nuke16–14-0.0115%2 Dec
train13–10.0110%2 Dec
train5–13-0.0317%2 Dec
nuke13–10-0.048%2 Dec
train13–11-0.0523%28 Nov
inferno13–11-0.0216%28 Nov
inferno13–90.0025%28 Nov
nuke13–00.1215%28 Nov
office13–10-0.062%27 Nov
office4–13-0.070%25 Nov
office13–6-0.0110%25 Nov
inferno10–130.0620%20 Nov
overpass11–130.0318%20 Nov
nuke7–13-0.0713%18 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 →