Car Merchant — CS2 Stats

76561198393205319[U:1:432939591]✓ No bans

226Tracked matches43%Win rate2022Tracked since
341Hours in CS
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating14,562Blue band · top ~30.7% of ranked players (population est.)
CSDB Leaderboard#23535 of 37305 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate45.5%41.7%44.1%above
Shot accuracy17.2%8.8%11.4%above
Kill/death ratio0.780.971.030.25 short
Match win rate34.4%43.8%45.2%10.8% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGCar MerchantPREMIER14,562 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility35

0–100 skill scores via Leetify.

Recent form

COLD47476Last 10047%Win rateLTWWLLLLLL

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

Player DNA

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

Aim6.2
Aggression7.5
Utility3.5
Positioning5.2
Opening Duels3.6

Strong CT-side openerLimited 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 85% playstyle similarity

Most alike: opening-fight frequency, 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

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim6.2
Positioning5.2
Utility3.5
Mechanics7.1
Opening Duels3.6
Win Impact2.6

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time638ms−17ms
first ⅓ avg 655ms → last ⅓ avg 638ms
Headshot accuracy19.6%−1.3%
first ⅓ avg 20.8% → last ⅓ avg 19.6%

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 — nuke 13–1
131Biggest win — nuke
8Longest win streak
42In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 60% over 5ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB25131252%-0.02
officeB147750%-0.00
mirageB137654%-0.01
cacheA95456%-0.01
infernoD72529%-0.00
overpassA53260%-0.02
ancientD51420%-0.03
dust242250%-0.02
anubis41325%-0.02
train3030%-0.04
vertigo32167%0.01
italy330100%-0.06
thera21150%0.01
basalt1010%0.05
assembly1010%-0.09
mills1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,804Lifetime kills
0.78K/D
1,119Matches
34.4%Match win rate
45.5%Headshot % · Top 50% of Blue band
17.2%Shot accuracy · Top 10% of Blue band
1,095MVPs
341Hours (in match)
598Bombs planted
115Bombs defused

Most-used weapons

Lifetime map wins

2,149nuke
522office
467inferno
381dust2
247vertigo
242lake
118train
28safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.6%Headshot accuracy
33.6%Accuracy (enemy spotted)
30.2%Spray accuracy
82.0%Counter-strafing
10.5°Preaim
630msReaction time
31.7%T opening success
57.0%CT opening success
0.53Enemies flashed / flash
9.9%Flash assists
5.30HE damage / grenade
4.22Flashes / 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 31.6551% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.104%13 Aug
dust212–12-0.0420%17 May
overpass13–20.0315%17 May
nuke13–10.1431%17 May
anubis6–13-0.0125%17 May
cache5–13-0.0411%16 May
ancient5–13-0.0123%16 May
office11–13-0.0540%16 May
nuke9–130.0321%16 May
train8–13-0.0124%16 May
inferno11–130.0530%16 May
ancient13–5-0.0121%12 May
nuke10–130.0118%12 May
mirage9–130.0119%11 May
nuke13–50.0119%11 May
nuke13–5-0.0211%10 May
inferno8–13-0.049%10 May
cache10–130.0021%10 May
cache1–7-0.160%10 May
office4–13-0.0867%10 May
office13–80.0622%10 May
train10–13-0.0920%9 May
dust210–13-0.0414%9 May
inferno13–100.0426%9 May
nuke13–60.0625%8 May
cache13–60.0417%7 May
cache12–120.0316%7 May
dust213–30.0311%6 May
vertigo13–40.0122%6 May
mirage13–7-0.064%6 May
nuke1–13-0.0815%5 May
inferno7–13-0.0514%4 May
cache13–7-0.0411%4 May
cache13–10-0.0212%2 May
cache13–90.0529%29 Apr
cache13–10.0716%28 Apr
overpass9–13-0.0216%27 Apr
dust213–11-0.0516%25 Apr
mirage13–7-0.0313%25 Apr
overpass13–50.0237%25 Apr
mirage13–110.0115%24 Apr
nuke13–8-0.066%24 Apr
mirage13–9-0.0219%21 Apr
mirage13–9-0.0217%21 Apr
ancient2–13-0.0630%21 Apr
inferno13–110.0517%20 Apr
mirage15–15-0.0218%20 Apr
anubis9–13-0.0315%20 Apr
mirage5–12-0.057%18 Apr
mirage0–7-0.0640%18 Apr
ancient3–130.0233%18 Apr
vertigo13–110.0727%18 Apr
mirage13–50.0512%18 Apr
overpass7–13-0.0319%16 Apr
mirage6–13-0.0617%15 Apr
office5–13-0.0138%14 Apr
train8–13-0.0215%14 Apr
nuke7–130.0133%13 Apr
anubis9–13-0.0120%13 Apr
vertigo5–13-0.0415%12 Apr
inferno8–13-0.0416%12 Apr
mirage13–10-0.0017%12 Apr
mirage12–120.0535%12 Apr
nuke5–13-0.0319%11 Apr
anubis13–6-0.0113%13 Feb
basalt2–130.059%11 Dec
inferno4–13-0.0416%4 Dec
nuke3–13-0.0918%2 Dec
office13–100.0519%26 Nov
nuke10–13-0.0515%10 Oct
italy8–3-0.1031%9 Oct
office13–7-0.048%7 Oct
italy13–8-0.0516%4 Oct
italy6–1-0.0267%4 Oct
nuke7–13-0.0928%29 Sept
thera5–130.0426%11 Aug
thera13–9-0.0311%8 Aug
assembly5–9-0.0930%8 Aug
mills12–12-0.0714%7 Aug
office13–90.0211%14 Apr
office13–4-0.0222%12 Mar
office2–13-0.0516%10 Mar
office8–13-0.0621%2 Mar
nuke3–13-0.0911%18 Feb
office8–13-0.0328%3 Feb
nuke13–90.0414%2 Feb
office13–60.0523%2 Feb
office10–00.1336%30 Jan
nuke13–5-0.0023%30 Jan
nuke13–8-0.0531%13 Nov
nuke13–4-0.044%29 Sept
nuke13–40.0225%28 Sept
nuke13–10-0.0415%28 Sept
nuke6–9-0.095%23 Sept
nuke9–40.0616%23 Sept
office5–90.0026%23 Sept
ancient6–13-0.093%22 Sept
nuke8–8-0.0517%22 Sept
overpass13–5-0.0914%21 Sept
nuke13–10.0142%15 Sept

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 →