gldn

gldn — CS2 Stats

PT76561198257790917[U:1:297525189]Steam profile ↗

246Tracked matches69%Win rate2023Tracked since
CSDB Rating6.8 SolidAggressive Rifler
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Share this profile

CSDB.GGgldnFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.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

Aim85
Positioning53
Utility45

0–100 skill scores via Leetify.

Recent form

HOT55414Last 10055%Win rateLWWLWWWWWL

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

Player DNA

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

Aim8.5
Aggression8.4
Utility4.5
Positioning5.3
Opening Duels3.7
Clutch5.4

Sharp aimer

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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: utility contribution, positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Reaction time. 561ms 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

Aim8.5
Positioning5.3
Utility4.5
Mechanics7.4
Opening Duels3.7
Win Impact10.0

Composite 6.8/10 (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 rating0.03+0.03
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time573ms−26ms
first ⅓ avg 599ms → last ⅓ avg 573ms
Headshot accuracy14.1%−0.6%
first ⅓ avg 14.7% → last ⅓ avg 14.1%

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

0.14Best rating — anubis 13–9
130Biggest win — overpass
7Longest win streak
810In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 73% over 11anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA38221658%0.01
infernoS1812667%0.01
ancientS118373%-0.00
anubisD102820%0.00
dust2B84450%0.02
nukeC73443%0.01
overpassC52340%-0.00
cache1010%0.03
vertigo110100%0.07
train110100%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

159Matches
54%Win rate
1.22Avg K/D
81.2ADR
40%Headshot %

Clutches & streaks

47%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5064%1.2717.1
Anubis2839%1.0515.3
Ancient2669%1.1119.1
Dust22241%1.0516.4
Inferno1631%1.8013.4
Nuke862%1.1216.1
Train683%1.2919.5
Vertigo250%1.5020.5

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.

14.1%Headshot accuracy
40.0%Accuracy (enemy spotted)
40.0%Spray accuracy
83.2%Counter-strafing
7.0°Preaim
561msReaction time
44.7%T opening success
45.1%CT opening success
0.61Enemies flashed / flash
2.0%Flash assists
9.13HE 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. 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 14.072% — below the 15% 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–130.0816%8 Aug
anubis13–90.1414%8 Aug
mirage13–20.0614%8 Aug
cache5–130.0316%8 Aug
inferno13–90.0624%3 Aug
inferno13–20.0919%25 May
inferno13–80.0514%20 May
ancient13–40.0716%20 May
overpass13–00.0538%20 May
inferno7–130.0216%18 May
vertigo9–40.077%13 May
dust25–13-0.0319%13 May
inferno13–11-0.0421%13 May
overpass13–90.026%13 May
ancient13–100.056%4 May
dust213–100.0129%28 Apr
ancient6–13-0.0317%28 Apr
nuke9–70.0616%28 Apr
mirage13–60.044%28 Apr
inferno0–13-0.040%22 Apr
anubis6–13-0.0517%22 Apr
inferno6–20.0713%22 Apr
mirage13–5-0.0217%22 Apr
mirage13–50.0220%22 Apr
mirage13–50.0315%22 Apr
mirage13–10-0.0021%16 Apr
inferno11–130.0510%1 Apr
mirage11–13-0.027%22 Feb
dust215–15-0.0214%8 Feb
mirage13–110.069%7 Feb
ancient13–9-0.016%7 Feb
dust213–60.020%6 Feb
mirage13–110.137%6 Feb
inferno9–4-0.0716%4 Feb
ancient16–120.0524%4 Feb
mirage16–120.049%4 Feb
mirage15–150.0112%1 Feb
mirage13–90.0917%27 Jan
mirage13–80.0429%24 Jan
ancient13–100.019%17 Jan
inferno16–140.0813%12 Jan
ancient16–13-0.0312%8 Jan
mirage6–130.0128%8 Jan
mirage2–13-0.060%22 Dec
mirage3–13-0.0912%3 Dec
mirage7–130.0223%22 Oct
overpass11–13-0.0814%24 Sept
mirage0–8-0.090%24 Sept
dust213–20.1044%24 Sept
inferno0–9-0.2513%5 Aug
mirage13–100.0416%4 Aug
mirage13–90.0917%4 Aug
mirage13–70.0814%4 Aug
inferno13–8-0.017%4 Aug
nuke8–80.0628%23 Jul
overpass4–13-0.0135%18 Jul
overpass14–160.0117%16 Jul
nuke14–16-0.0411%14 Jul
mirage13–10-0.0312%13 Jul
anubis7–130.0416%13 Jul
train13–80.0710%10 Jul
inferno13–10-0.0116%10 Jul
mirage16–14-0.0220%8 Jul
mirage12–12-0.0111%1 Jul
dust29–130.0414%1 Jul
ancient13–6-0.046%1 Jul
mirage9–130.0415%29 Jun
mirage5–13-0.0513%29 Jun
anubis11–13-0.0413%21 Jun
mirage13–70.0313%17 Jun
anubis13–16-0.0312%16 Jun
mirage9–13-0.0221%7 Jun
anubis9–130.0112%4 Jun
inferno13–40.0923%3 Jun
inferno9–60.0817%21 Mar
mirage13–1-0.0121%21 Mar
nuke7–13-0.0312%17 Mar
anubis6–130.019%17 Mar
nuke16–120.0617%13 Mar
anubis13–110.029%13 Mar
inferno13–8-0.0213%12 Mar
mirage13–11-0.0121%12 Mar
dust213–90.0624%11 Mar
mirage14–16-0.0117%10 Mar
ancient13–3-0.034%5 Mar
nuke13–90.0412%3 Mar
mirage13–10-0.0116%3 Mar
ancient14–16-0.0010%26 Feb
mirage8–13-0.0512%26 Feb
dust23–13-0.058%26 Feb
mirage13–80.048%24 Feb
anubis12–160.009%23 Feb
ancient9–13-0.0420%22 Feb
mirage9–130.0320%22 Feb
nuke7–13-0.0615%22 Feb
mirage11–130.0221%22 Feb
anubis2–13-0.0821%21 Feb
inferno3–13-0.0718%15 Feb
mirage13–70.0910%15 Feb
mirage7–130.0515%14 Feb

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 →