cone

cone — CS2 Stats

GB76561198330680738[U:1:370415010]Steam profile ↗✓ No bans

699Tracked matches52%Win rate2024Tracked since
698Hours in CS22Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating13,666Blue band · top ~35.5% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,666 +3,714 30 Jun – 29 Sept · 16 days played
9,60313,666peak 13,66630 Jun29 Sept
13,666Peak Premier in tracked matches
43Days played since 2026-06-29

Premier CS Rating

  • At peak — 13,666
  • +1,247 over 30 days · improving
  • +4,063 over 90 days
  • Next: Purple band at 15,000 — 1,334 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-07
  • Light Blue band first seen 2026-09-07

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches113——
Win rate46%——
K/D0.96——
Headshot %44%——

Measured 5 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate41.2%42.0%44.3%3.1% short
Shot accuracy1.3%9.6%11.9%10.6% short
Kill/death ratio0.840.981.030.19 short
Match win rate42.9%43.8%45.2%2.4% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. 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.

Share this profile

CSDB.GGconePREMIER13,666 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning54
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateLLWWWWLTTL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −5.0pp headshot accuracy · −39ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 611ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 615ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 634ms

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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim6.1
Utility2.0
Positioning5.4
Opening Duels2.9

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.

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

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

Reaction time. 637ms 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

Aim6.1
Positioning5.4
Utility2.0
Mechanics5.3
Opening Duels4.0
Win Impact5.6

Composite 4.7/10 (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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time640ms−35ms
first ⅓ avg 675ms → last ⅓ avg 640ms
Headshot accuracy17.7%+4.2%
first ⅓ avg 13.5% → last ⅓ avg 17.7%

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

0.12Best match rating · 13–8 · cache, 7 Aug →
33%Best headshot accuracy · 8–8 · nuke, 6 Sept →
430msFastest reaction time · 4–13 · anubis, 12 Jul →
13–2Biggest win · inferno, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 75% over 8cacheWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
anubisB199–1047%0.01
cacheC176–1135%-0.01
infernoC167–944%-0.01
ancientB126–650%-0.01
dust2C104–640%-0.02
nukeS86–275%-0.01
vertigoS75–271%-0.02
boulder—31–233%-0.05
mirage—20–20%-0.00
debris—21–150%-0.09
rush_001—10–10%-0.04
overpass—10–10%0.02
eldorado—11–0100%0.03
fachwerk—11–0100%-0.06

Across the last 100 tracked matches.

Lifetime stats

15,516Lifetime kills
0.84K/D
1,255Matches
42.9%Match win rate
41.2%Headshot %
1.3%Shot accuracy
1,857MVPs
408Hours (in match)
801Bombs planted
200Bombs defused

Most-used weapons

Lifetime map wins

3,092inferno
953dust2
508nuke
411vertigo
275train
29office
13italy
9safehouse

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.

18.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
31.2%Spray accuracy
73.9%Counter-strafing
7.2°Preaim
637msReaction time
40.3%T opening success
51.6%CT opening success
0.29Enemies flashed / flash
2.8%Flash assists
6.99HE damage / grenade
1.83Flashes / 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 0.2866 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
rush_0016–8-0.0418%1 Oct →
cache8–13-0.054%30 Sept →
dust213–7-0.0315%29 Sept →
ancient13–11-0.0514%29 Sept →
nuke13–9-0.0313%28 Sept →
cache13–60.005%28 Sept →
dust25–13-0.0232%27 Sept →
ancient12–12-0.0210%27 Sept →
inferno8–80.0518%27 Sept →
inferno1–9-0.135%27 Sept →
dust25–13-0.0525%25 Sept →
dust213–6-0.0528%25 Sept →
vertigo7–13-0.0219%24 Sept →
vertigo13–110.0114%24 Sept →
anubis12–120.0721%19 Sept →
anubis13–80.0510%19 Sept →
mirage8–130.0122%19 Sept →
debris9–6-0.0517%17 Sept →
vertigo9–5-0.1514%17 Sept →
anubis13–6-0.0314%17 Sept →
anubis7–130.0410%17 Sept →
anubis13–40.0715%17 Sept →
cache8–13-0.0016%10 Sept →
ancient9–13-0.0015%10 Sept →
boulder4–13-0.0631%10 Sept →
nuke13–8-0.0133%8 Sept →
inferno8–80.1015%8 Sept →
cache13–50.0423%8 Sept →
inferno13–100.0323%8 Sept →
cache12–120.0119%7 Sept →
inferno13–10-0.0212%6 Sept →
nuke8–8-0.0633%6 Sept →
inferno10–13-0.0420%3 Sept →
anubis5–130.0426%3 Sept →
nuke8–13-0.0315%2 Sept →
inferno11–13-0.0028%2 Sept →
ancient13–60.0025%2 Sept →
cache4–13-0.0915%2 Sept →
overpass7–130.0212%30 Aug →
cache13–3-0.098%30 Aug →
inferno13–20.0011%30 Aug →
cache9–13-0.0119%30 Aug →
cache12–12-0.0124%30 Aug →
ancient7–130.0318%27 Aug →
cache9–13-0.0213%27 Aug →
cache6–130.0222%27 Aug →
anubis8–13-0.026%25 Aug →
ancient7–13-0.058%25 Aug →
ancient16–13-0.0412%19 Aug →
ancient13–110.0319%16 Aug →
dust29–13-0.0013%13 Aug →
cache16–13-0.0216%13 Aug →
anubis13–7-0.0615%11 Aug →
dust213–60.0631%11 Aug →
cache13–40.0332%11 Aug →
dust28–13-0.0121%10 Aug →
anubis13–110.0211%10 Aug →
ancient16–140.0318%9 Aug →
anubis13–50.0721%9 Aug →
inferno13–3-0.015%9 Aug →
cache13–80.1221%7 Aug →
anubis13–60.0915%7 Aug →
inferno10–13-0.0018%7 Aug →
ancient13–50.0214%7 Aug →
inferno13–70.0314%7 Aug →
nuke13–50.0430%6 Aug →
dust213–30.0514%6 Aug →
cache2–7-0.035%6 Aug →
dust25–13-0.113%4 Aug →
vertigo4–130.0510%4 Aug →
boulder7–13-0.047%3 Aug →
vertigo13–9-0.058%3 Aug →
dust21–13-0.0220%3 Aug →
ancient9–13-0.069%3 Aug →
vertigo13–80.0420%1 Aug →
vertigo13–50.0113%1 Aug →
inferno9–4-0.144%29 Jul →
inferno4–9-0.0519%29 Jul →
anubis10–13-0.0412%28 Jul →
anubis13–2-0.036%27 Jul →
anubis12–12-0.0419%24 Jul →
inferno12–160.0213%21 Jul →
nuke13–11-0.017%21 Jul →
debris2–9-0.1317%21 Jul →
eldorado9–20.0327%21 Jul →
fachwerk13–9-0.0613%17 Jul →
nuke13–90.0114%17 Jul →
anubis4–13-0.119%12 Jul →
anubis9–13-0.0216%12 Jul →
boulder13–11-0.0613%11 Jul →
cache5–13-0.0521%10 Jul →
mirage6–13-0.0113%6 Jul →
inferno12–12-0.0610%6 Jul →
anubis4–130.0016%4 Jul →
nuke13–30.0215%4 Jul →
anubis9–130.0211%1 Jul →
inferno13–100.0621%30 Jun →
anubis13–100.0923%30 Jun →
ancient9–130.0317%30 Jun →
cache9–130.0015%29 Jun →

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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