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中华人民共和国内务部管弦乐团 贾斯汀·比伯 — CS2 Stats

76561199827516163[U:1:1867250435]✓ No bans

343Tracked matches36%Win rate2025Tracked since
CSDB Rating4.5 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim64
Positioning52
Utility31

0–100 skill scores via Leetify.

Recent form

COLD46–48–6Last 10046%Win rateLWLLWWTLLL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4
Aggression6.7
Utility3.1
Positioning5.2
Opening Duels2.6

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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

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

Reaction time. 654ms 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

Aim6.4
Positioning5.2
Utility3.1
Mechanics5.2
Opening Duels2.6
Win Impact0.2

Composite 4.5/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time660ms−14ms
first ⅓ avg 674ms → last ⅓ avg 660ms
Headshot accuracy15.8%+3.3%
first ⅓ avg 12.6% → last ⅓ avg 15.8%

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

0.15Best rating — inferno 5–6
13–1Biggest win — dust2
5Longest win streak
4–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 52% over 29infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B3115–1648%-0.01
mirageB2915–1452%-0.01
infernoD132–1115%-0.01
ancientB105–550%-0.02
nukeC73–443%0.00
anubis—42–250%0.00
train—22–0100%0.02
cache—20–20%-0.09
vertigo—11–0100%-0.02
warden—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno 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.

15.5%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.5%Spray accuracy
73.4%Counter-strafing
8.5°Preaim
654msReaction time
42.0%T opening success
39.1%CT opening success
0.43Enemies flashed / flash
3.8%Flash assists
9.13HE damage / grenade
4.03Flashes / 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. 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 0.4315 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.0815% — 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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0817%27 Aug →
mirage13–90.0011%24 Aug →
inferno5–60.1510%24 Aug →
dust27–13-0.0214%24 Aug →
dust213–100.0013%24 Aug →
ancient13–100.0313%22 Aug →
mirage12–120.0211%22 Aug →
dust22–13-0.1017%20 Aug →
inferno7–13-0.0424%20 Aug →
mirage8–13-0.0236%12 Aug →
dust26–13-0.0124%12 Aug →
dust213–6-0.0318%31 Jul →
train13–90.0514%31 Jul →
nuke12–12-0.059%29 Jul →
dust24–13-0.0717%27 Jul →
mirage0–13-0.0416%24 Jul →
anubis2–13-0.0618%24 Jul →
dust27–13-0.0312%24 Jul →
mirage13–5-0.0021%22 Jul →
dust211–4-0.0419%22 Jul →
inferno11–13-0.0215%17 Jul →
dust211–130.0115%17 Jul →
mirage13–2-0.0213%17 Jul →
mirage5–13-0.017%17 Jul →
ancient13–70.0511%17 Jul →
mirage9–13-0.076%16 Jul →
ancient0–13-0.0217%16 Jul →
nuke11–13-0.0011%16 Jul →
ancient0–13-0.1125%16 Jul →
mirage8–6-0.0521%16 Jul →
inferno7–130.0310%16 Jul →
nuke9–13-0.0713%16 Jul →
vertigo9–5-0.0225%16 Jul →
mirage13–8-0.0510%15 Jul →
dust213–40.048%15 Jul →
mirage1–13-0.0436%13 Jul →
mirage5–13-0.0214%12 Jul →
inferno8–13-0.0315%12 Jul →
mirage13–50.0214%12 Jul →
inferno7–13-0.0510%12 Jul →
dust213–3-0.0114%12 Jul →
ancient1–13-0.0516%12 Jul →
dust28–130.0218%12 Jul →
ancient9–13-0.0216%7 Jul →
mirage13–80.0212%7 Jul →
warden13–8-0.057%7 Jul →
mirage13–30.0214%7 Jul →
mirage5–130.0725%3 Jul →
ancient13–10-0.0815%3 Jul →
dust213–50.028%3 Jul →
inferno5–13-0.116%3 Jul →
mirage3–13-0.0711%3 Jul →
dust213–100.0521%3 Jul →
dust213–11-0.059%1 Jul →
inferno2–7-0.105%1 Jul →
anubis2–13-0.0919%1 Jul →
nuke13–9-0.0213%1 Jul →
mirage8–30.058%28 Jun →
dust24–13-0.0419%27 Jun →
mirage13–5-0.0812%24 Jun →
inferno9–130.0213%23 Jun →
ancient13–11-0.0223%23 Jun →
dust213–80.0619%23 Jun →
dust210–13-0.0313%22 Jun →
mirage2–13-0.0619%22 Jun →
dust29–130.015%21 Jun →
dust212–12-0.0314%6 Jun →
mirage13–30.028%23 May →
mirage13–50.079%18 May →
cache2–13-0.099%17 May →
cache9–13-0.0814%13 May →
dust211–13-0.0411%25 Apr →
dust213–1-0.0213%25 Apr →
inferno7–130.0114%22 Apr →
ancient13–60.026%22 Apr →
dust213–90.0016%20 Apr →
dust21–13-0.109%19 Apr →
nuke10–130.0111%19 Apr →
dust213–11-0.0419%12 Apr →
inferno13–80.0719%12 Apr →
anubis13–10.129%4 Apr →
dust29–130.0211%2 Apr →
mirage5–13-0.0516%2 Apr →
dust23–13-0.0710%31 Mar →
mirage13–30.0417%31 Mar →
mirage7–130.0117%30 Mar →
dust213–30.0814%29 Mar →
inferno12–120.0212%29 Mar →
anubis13–40.0412%14 Mar →
ancient12–12-0.0113%14 Mar →
train13–5-0.0110%14 Mar →
mirage12–12-0.0012%7 Mar →
nuke13–50.0811%5 Mar →
dust29–50.0210%5 Mar →
mirage5–13-0.0415%5 Mar →
nuke13–50.0610%28 Feb →
mirage13–50.066%27 Feb →
dust213–60.0421%23 Feb →
mirage13–7-0.0012%23 Feb →
inferno13–3-0.0421%23 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 →

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