Pure

Pure — CS2 Stats

DJ76561198073212825[U:1:112947097]Steam profile ↗✓ No bans

572Tracked matches66%Win rate2020Tracked since
3,479Hours in CS1Hrs last 2 wks
CSDB Rating6.6 SolidClutch Specialist
Premier CS Rating23,627Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#37066 of 261580 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 572 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,627 -854 22 Apr – 4 Nov · 22 days played
19,99925,495peak 25,49522 Apr4 Nov
25,495Peak Premier in tracked matches
53Days played since 2026-04-22

Premier CS Rating

  • 1,868 below peak (25,495)
  • +1,860 over 30 days · improving
  • Next: Red band at 25,000 — 1,373 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-19
  • Purple band first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.0%46.9%49.3%8.3% short
Shot accuracy15.9%13.0%13.4%above
Kill/death ratio1.101.081.120.03 short
Match win rate46.5%46.7%48.5%2.0% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPurePREMIER23,627 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning39
Utility61

0–100 skill scores via Leetify.

Recent form

HOT60–37–3Last 10060%Win rateLWWWLLWWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · −12ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 633ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 589ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5 against its own average).

Aim8.4
Utility6.1
Positioning3.9
Opening Duels0.0
Clutch10.0

Strong T-side openerReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ropz

Plays most like ropz 80% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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 44 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 44% on T to 20% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms 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

Aim8.4
Positioning3.9
Utility6.1
Mechanics7.5
Opening Duels1.7
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time572ms−66ms
first ⅓ avg 639ms → last ⅓ avg 572ms
Headshot accuracy23.0%−0.6%
first ⅓ avg 23.6% → last ⅓ avg 23.0%

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.

Personal bests

0.16Best match rating · 13–1 · mirage, 15 Jul →
46%Best headshot accuracy · 13–4 · mirage, 23 Apr →
406msFastest reaction time · 13–3 · cache, 16 Oct →
13–1Biggest win · mirage, 15 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 80% over 15cacheWeakest map · 53% over 53
MapGradePlayedRecordWin rateAvg rating
cacheB5328–2553%-0.00
mirageS1512–380%0.04
infernoS1410–471%-0.01
ancientA117–464%0.02
dust2—22–0100%0.02
vertigo—20–20%0.03
nuke—10–10%-0.02
anubis—10–10%-0.07
train—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

93,962Lifetime kills
1.10K/D · Top 50% of Pink band
4,546Matches
46.5%Match win rate
41.0%Headshot %
15.9%Shot accuracy · Top 25% of Pink band
10,589MVPs
2,157Hours (in match)
8,575Bombs planted
1,328Bombs defused

Most-used weapons

AK-4732,129
AWP12,577
P2502,295
UMP-451,683
MP91,606

Lifetime map wins

12,115dust2
8,088inferno
2,991nuke
1,104train
1,024cbble
199vertigo
148office
68lake

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

Faceit stats

Combat

816Matches
52%Win rate
1.19Avg K/D
84.2ADR
41%Headshot %

Clutches & streaks

100%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%1.2515.0
Anubis1100%1.5015.0
Ancient1100%2.0020.0

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.

22.9%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.8%Spray accuracy
83.6%Counter-strafing
8.3°Preaim
574msReaction time
43.8%T opening success
19.9%CT opening success
0.50Enemies flashed / flash
7.7%Flash assists
10.57HE damage / grenade
5.90Flashes / 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 0.4973 — 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 19.9088% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache7–130.0029%2 Nov →
ancient13–110.0222%24 Oct →
dust213–60.0124%24 Oct →
mirage16–12-0.0119%21 Oct →
inferno8–13-0.0525%21 Oct →
nuke13–16-0.0219%19 Oct →
mirage16–130.0420%17 Oct →
cache13–3-0.0332%16 Oct →
mirage13–70.1024%6 Oct →
ancient13–50.0923%6 Oct →
mirage16–140.0126%4 Oct →
inferno13–9-0.0431%19 Sept →
cache11–13-0.0127%13 Sept →
cache13–11-0.0225%13 Sept →
mirage13–11-0.0215%13 Sept →
cache13–110.0333%10 Sept →
inferno13–30.0725%10 Sept →
dust210–60.0436%6 Sept →
ancient9–13-0.0218%6 Sept →
cache7–130.0217%6 Sept →
inferno5–13-0.0718%3 Sept →
ancient9–13-0.0223%3 Sept →
mirage13–110.0526%2 Sept →
inferno13–90.0311%1 Sept →
mirage13–40.1029%1 Sept →
inferno15–150.0113%1 Sept →
ancient6–130.0115%31 Aug →
inferno13–100.0123%27 Aug →
ancient13–70.0421%23 Aug →
cache4–13-0.0933%19 Aug →
inferno13–7-0.0114%19 Aug →
cache13–7-0.0219%12 Aug →
inferno10–130.0024%12 Aug →
cache13–70.0530%3 Aug →
anubis3–13-0.078%26 Jul →
mirage13–80.0523%20 Jul →
inferno13–7-0.0120%16 Jul →
ancient13–90.0828%15 Jul →
mirage13–10.1624%15 Jul →
mirage13–90.0522%14 Jul →
inferno13–9-0.0419%13 Jul →
cache13–50.0224%13 Jul →
mirage6–130.0026%13 Jul →
cache9–13-0.0119%12 Jul →
ancient9–13-0.0621%12 Jul →
mirage10–130.0616%12 Jul →
mirage13–110.0218%5 Jul →
ancient16–12-0.0124%5 Jul →
inferno13–6-0.029%5 Jul →
cache6–13-0.105%5 Jul →
cache13–8-0.0019%4 Jul →
cache4–13-0.0413%4 Jul →
cache13–9-0.0215%2 Jul →
cache13–70.0413%2 Jul →
cache13–10-0.0227%2 Jul →
vertigo2–130.0414%30 Jun →
cache13–90.0111%22 Jun →
cache7–13-0.0219%8 Jun →
vertigo4–130.0114%8 Jun →
cache13–100.0215%8 Jun →
cache9–13-0.0132%7 Jun →
cache13–5-0.0123%2 Jun →
cache13–11-0.0417%20 May →
cache12–12-0.0116%18 May →
cache13–70.0318%18 May →
cache13–40.0325%18 May →
cache13–60.0521%17 May →
cache11–130.0530%17 May →
cache13–3-0.0327%17 May →
cache10–130.0029%16 May →
cache8–13-0.0324%14 May →
cache13–50.0424%12 May →
cache11–13-0.029%12 May →
cache13–20.1230%11 May →
cache13–40.0531%11 May →
cache8–13-0.048%11 May →
cache11–13-0.0228%10 May →
cache0–13-0.0811%10 May →
cache8–13-0.0417%6 May →
mirage11–13-0.0122%6 May →
cache10–130.0122%6 May →
cache13–6-0.0327%6 May →
cache13–90.0024%5 May →
cache13–20.1121%5 May →
cache13–30.0923%4 May →
cache1–13-0.0612%4 May →
cache13–70.0330%4 May →
cache5–13-0.1322%3 May →
cache11–13-0.0420%1 May →
cache12–12-0.0227%1 May →
cache7–13-0.0330%29 Apr →
cache7–13-0.0318%29 Apr →
cache13–60.0132%29 Apr →
cache13–60.0326%29 Apr →
train13–8-0.0321%25 Apr →
mirage13–4-0.0146%23 Apr →
ancient13–50.0439%23 Apr →
inferno5–10.017%23 Apr →
inferno13–90.0224%23 Apr →
ancient13–110.0015%22 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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