GoldenDrew — CS2 Stats

76561198202408025[U:1:242142297]

490Tracked matches50%Win rate2020Tracked since
1,488Hours in CS
CSDB Rating2.8 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGGoldenDrewFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim22
Positioning36
Utility8

0–100 skill scores via Leetify.

Recent form

HOT36559Last 10036%Win rateLWWWTWWTWW

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

Aim2.2
Aggression1.1
Utility0.8
Positioning3.6
Opening Duels0.0
Clutch6.0

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 58% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 665ms 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

Aim2.2
Positioning3.6
Utility0.8
Mechanics5.4
Opening Duels0.0
Win Impact5.0

Composite 2.8/10 (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-0.06+0.02
first ⅓ avg -0.08 → last ⅓ avg -0.06
Reaction time662ms+11ms
first ⅓ avg 651ms → last ⅓ avg 662ms
Headshot accuracy18.0%+1.2%
first ⅓ avg 16.7% → last ⅓ avg 18.0%

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

0.19Best rating — nuke 9–1
134Biggest win — train
5Longest win streak
1112In matches decided by ≤2 rounds
4Overtime games

Map breakdown

overpassBest map · 50% over 6officeWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD2251723%-0.08
dust2D1651131%-0.07
trainB115645%-0.04
nukeB115645%-0.06
officeD6060%-0.03
overpassB63350%-0.09
ancientB63350%-0.05
anubisC52340%-0.05
mirage440100%-0.04
vertigo2020%-0.12
assembly2020%-0.11
cache110100%-0.06
warden110100%-0.07
jura1010%-0.11
grail110100%-0.06
edin1010%-0.02
palais110100%-0.05
italy1010%-0.11
mills1010%-0.07
memento1010%-0.19

Across the last 100 tracked matches.

Lifetime stats

70,968Lifetime kills
0.76K/D
4,936Matches
40.0%Match win rate
35.5%Headshot %
17.3%Shot accuracy · Top 25% of tracked players
9,145MVPs
1,488Hours (in match)
2,715Bombs planted
525Bombs defused

Most-used weapons

AK-4713,471
AWP13,059
P903,351
MAC-101,878
SSG 081,819

Lifetime map wins

11,114dust2
3,119inferno
1,814train
1,144cbble
668nuke
465vertigo
289lake
265office

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

Faceit stats

Combat

89Matches
44%Win rate
0.59Avg K/D
50.3ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2100%0.728.0
Dust2250%0.5511.0
Mirage1100%0.9110.0
Anubis1100%0.6911.0
Nuke10%0.397.0

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.

18.9%Headshot accuracy
21.6%Accuracy (enemy spotted)
21.9%Spray accuracy
74.3%Counter-strafing
12.0°Preaim
665msReaction time
13.6%T opening success
28.1%CT opening success
0.16Enemies flashed / flash
1.9%Flash assists
5.56HE damage / grenade
1.94Flashes / 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 12.0186° — above the 12° mark we flag

    Aim Training
  2. 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 0.157 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.1333%11 Jul
train13–10-0.0530%28 Jun
cache13–10-0.067%2 May
train13–110.0014%25 Apr
inferno12–12-0.0316%25 Apr
inferno9–6-0.1311%16 Apr
mirage13–11-0.0625%3 Apr
dust212–12-0.0518%26 Mar
warden13–10-0.0719%1 Mar
nuke13–9-0.0631%30 Aug
anubis11–13-0.0817%21 Aug
train13–40.0212%2 Aug
office8–13-0.0126%27 Jul
train8–130.0528%27 Jul
inferno5–13-0.1024%17 Jul
office12–12-0.0613%17 Jul
overpass13–11-0.119%17 Jul
inferno11–13-0.0626%28 Jun
mirage13–10-0.0431%28 Jun
dust211–13-0.0618%27 Jun
vertigo5–13-0.100%27 May
overpass12–12-0.0811%16 May
jura11–13-0.1124%11 May
grail13–11-0.0617%11 May
inferno7–9-0.149%7 May
train3–13-0.0215%26 Apr
dust213–10-0.0430%18 Apr
train13–10-0.0315%18 Apr
train3–13-0.095%6 Apr
office7–13-0.0522%5 Apr
train13–11-0.0417%5 Apr
inferno7–9-0.0013%28 Mar
nuke3–13-0.057%23 Mar
ancient6–13-0.1010%23 Mar
dust28–13-0.0825%23 Mar
inferno4–9-0.1024%8 Mar
inferno7–9-0.0920%3 Mar
dust213–6-0.0317%3 Mar
office10–13-0.045%2 Mar
train10–13-0.0726%2 Mar
dust23–13-0.087%1 Mar
nuke8–8-0.0619%24 Feb
inferno4–9-0.139%24 Feb
inferno9–5-0.108%23 Feb
nuke7–9-0.0110%22 Feb
inferno7–9-0.1427%22 Feb
vertigo3–13-0.1311%25 Jan
dust216–14-0.0417%8 Jan
train4–13-0.1130%23 Nov
edin4–13-0.027%16 Nov
train8–13-0.0722%16 Nov
palais9–4-0.0522%15 Nov
anubis10–13-0.0529%2 Nov
nuke9–10.1922%21 Oct
inferno4–9-0.1231%21 Oct
dust213–4-0.0416%20 Oct
inferno9–70.0717%4 Oct
mirage13–10-0.0311%3 Oct
ancient13–11-0.0138%3 Oct
anubis13–11-0.0419%3 Oct
inferno11–13-0.0915%3 Oct
italy6–13-0.1119%3 Oct
inferno11–13-0.0429%18 Sept
inferno8–8-0.1213%30 Aug
overpass9–4-0.0121%30 Aug
mills10–13-0.0717%24 Aug
assembly3–9-0.1417%17 Aug
dust211–13-0.0713%10 Aug
dust24–13-0.1017%5 Aug
overpass3–9-0.249%5 Aug
assembly5–9-0.0819%5 Aug
nuke13–10-0.0313%4 Aug
anubis10–13-0.0825%4 Aug
ancient15–15-0.0516%6 Jul
memento2–9-0.1910%29 Jun
office12–12-0.0222%16 Jun
mirage13–8-0.0314%16 Jun
anubis13–8-0.0018%31 May
dust210–13-0.1115%4 May
inferno13–10-0.0124%4 May
nuke13–10-0.0921%1 May
inferno5–13-0.0631%1 May
nuke7–13-0.1022%27 Apr
dust213–16-0.0915%26 Apr
office8–13-0.0010%22 Apr
dust21–4-0.080%21 Apr
nuke1–9-0.2433%21 Apr
nuke3–13-0.1429%20 Apr
inferno7–13-0.110%18 Apr
nuke13–7-0.069%18 Apr
dust212–12-0.0410%8 Apr
ancient13–9-0.068%27 Mar
inferno9–13-0.0726%25 Mar
inferno5–13-0.1121%23 Mar
inferno13–11-0.0816%21 Mar
overpass9–13-0.0724%17 Mar
ancient10–13-0.0217%17 Mar
ancient16–13-0.0420%13 Mar
overpass13–11-0.0219%11 Mar
dust28–13-0.097%10 Mar

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 →