rockstarz✩

rockstarz✩ — CS2 Stats

GT76561197994848708[U:1:34582980]Steam profile ↗✓ No bans

2,406Tracked matches50%Win rate2020Tracked since
CSDB Rating5.8 SolidPassive Rifler
Premier CS Rating15,869Purple band · top ~24.9% of ranked players (population est.)
CSDB Leaderboard#14871 of 24551 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGrockstarz✩FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,869 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning41
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY51481Last 10051%Win rateLLWLLLWWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.4
Aggression4.1
Utility6.6
Positioning4.1
Opening Duels0.0
Clutch4.8

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower 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 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 42% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim7.4
Positioning4.1
Utility6.6
Mechanics7.2
Opening Duels1.5
Win Impact5.0

Composite 5.8/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time566ms−51ms
first ⅓ avg 617ms → last ⅓ avg 566ms
Headshot accuracy17.0%+1.7%
first ⅓ avg 15.3% → last ⅓ avg 17.0%

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

0.13Best rating — anubis 13–1
131Biggest win — anubis
5Longest win streak
L2Current streak
99In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 57% over 30infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A30171357%0.00
mirageA29161355%-0.01
infernoC1981142%-0.02
ancientB168850%-0.01
anubis42250%0.03
cache2020%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

846Matches
48%Win rate
0.97Avg K/D
74.5ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10244%1.0314.8
Inferno8458%1.2715.0
Dust27757%1.0714.8
Ancient3644%1.0314.9
Anubis3549%0.8713.9
Vertigo1217%0.7012.3
Nuke862%0.8414.0
Train633%1.0016.3

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.

16.4%Headshot accuracy
36.2%Accuracy (enemy spotted)
34.8%Spray accuracy
82.6%Counter-strafing
9.0°Preaim
569msReaction time
17.8%T opening success
42.2%CT opening success
0.54Enemies flashed / flash
7.6%Flash assists
9.78HE damage / grenade
20.41Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 17.785% — below the 40% mark we flag

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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0813%29 Aug
ancient5–13-0.0615%27 Aug
dust213–80.0420%27 Aug
anubis5–13-0.0615%26 Aug
mirage4–13-0.0023%25 Aug
mirage13–16-0.0611%23 Aug
mirage13–5-0.0217%23 Aug
mirage13–8-0.027%23 Aug
ancient13–3-0.0112%23 Aug
mirage16–120.0516%23 Aug
anubis13–30.0822%23 Aug
mirage11–13-0.0428%22 Aug
inferno7–13-0.0313%22 Aug
dust27–13-0.0114%22 Aug
ancient13–30.0322%22 Aug
anubis13–10.1315%22 Aug
dust27–13-0.0314%20 Aug
dust213–11-0.0221%20 Aug
mirage13–50.0422%20 Aug
mirage5–13-0.0321%19 Aug
inferno12–160.0017%19 Aug
dust211–130.0218%19 Aug
mirage1–13-0.052%18 Aug
inferno13–11-0.0431%18 Aug
dust213–8-0.028%18 Aug
dust213–60.0420%17 Aug
cache7–13-0.0623%15 Aug
mirage16–14-0.024%15 Aug
ancient13–90.0920%15 Aug
mirage8–13-0.0513%12 Aug
dust213–60.0223%12 Aug
mirage7–130.0317%12 Aug
mirage6–13-0.0126%11 Aug
dust27–00.0918%11 Aug
dust213–60.0422%11 Aug
mirage16–13-0.0622%11 Aug
dust211–130.0127%11 Aug
inferno13–8-0.0713%10 Aug
dust213–70.0124%10 Aug
inferno6–13-0.0624%9 Aug
dust25–130.0119%9 Aug
dust29–13-0.0120%9 Aug
dust213–110.0121%9 Aug
ancient9–13-0.0612%9 Aug
inferno9–13-0.0032%9 Aug
ancient13–100.0120%9 Aug
dust211–13-0.046%8 Aug
dust213–70.078%6 Aug
inferno13–7-0.0213%6 Aug
inferno11–13-0.013%6 Aug
mirage13–40.0719%6 Aug
mirage13–11-0.0520%6 Aug
mirage13–70.0219%5 Aug
ancient13–100.0210%5 Aug
inferno11–13-0.0122%4 Aug
anubis8–13-0.029%4 Aug
ancient3–13-0.0612%4 Aug
dust213–60.0518%4 Aug
ancient6–13-0.0411%4 Aug
dust211–13-0.0121%4 Aug
dust216–130.0225%3 Aug
inferno7–13-0.0514%2 Aug
ancient16–13-0.0119%1 Aug
mirage10–13-0.0513%1 Aug
dust216–140.0219%29 Jul
inferno5–13-0.0110%29 Jul
ancient12–16-0.0129%29 Jul
mirage8–13-0.0120%29 Jul
mirage13–5-0.0414%28 Jul
ancient10–13-0.0521%28 Jul
mirage16–12-0.0114%28 Jul
mirage13–10-0.045%28 Jul
dust213–60.0323%28 Jul
inferno15–150.0511%27 Jul
dust26–13-0.0525%27 Jul
mirage13–90.0517%27 Jul
mirage7–13-0.0210%26 Jul
dust23–13-0.0111%26 Jul
inferno13–60.0114%25 Jul
mirage13–100.038%25 Jul
inferno13–9-0.0627%25 Jul
dust213–11-0.0415%23 Jul
dust22–13-0.039%23 Jul
ancient10–130.0221%21 Jul
ancient13–80.0217%21 Jul
inferno7–13-0.0319%21 Jul
dust22–13-0.0823%21 Jul
cache4–13-0.026%21 Jul
dust216–130.0015%21 Jul
mirage7–13-0.045%18 Jul
ancient11–130.0018%18 Jul
dust213–8-0.0511%18 Jul
mirage12–1-0.0111%18 Jul
mirage4–13-0.0718%18 Jul
mirage13–90.0326%17 Jul
ancient13–90.0110%17 Jul
inferno16–14-0.0415%17 Jul
dust23–13-0.0532%17 Jul
inferno13–50.055%17 Jul
inferno13–110.009%17 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 →