ุ

ุ — CS2 Stats

76561198954937887[U:1:994672159]Steam profile ↗✓ No bans

684Tracked matches44%Win rate2025Tracked since
624Hours in CS17Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating19,234Top 50% of 201,122 CSDB-tracked playersPurple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#91597 of 247939 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (5 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: 19,234 +1,664 12 Jun – 27 Sept · 16 days played
17,36919,510peak 19,51012 Jun27 Sept
19,510Peak Premier in tracked matches
40Days played since 2026-06-11

Premier CS Rating

  • 276 below peak (19,510)
  • -276 over 30 days · steady
  • +1,865 over 90 days
  • Next: Pink band at 20,000 — 766 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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
Matches41——
Win rate41%——
K/D0.83——
Headshot %52%——

Measured 7 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate45.0%44.3%46.9%2.0% short
Shot accuracy1.2%11.9%13.0%11.8% short
Kill/death ratio0.771.031.080.31 short
Match win rate44.8%45.2%46.7%1.9% short

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

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

Share this profile

CSDB.GGุPREMIER19,234 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning48
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateLWWLTWTLLW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · −1.7pp headshot accuracy · +35ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 556ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 576ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

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 (+1.2 against its own average).

Aim8.8
Utility3.2
Positioning4.8
Opening Duels1.9
Clutch4.6

Sharp aimerExcellent counter-strafing

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

sh1ro

Plays most like sh1ro 86% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

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

Reaction time. 575ms 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

Aim8.8
Positioning4.8
Utility3.2
Mechanics8.8
Opening Duels2.8
Win Impact3.1

Composite 6.0/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time575ms−50ms
first ⅓ avg 624ms → last ⅓ avg 575ms
Headshot accuracy21.2%+1.0%
first ⅓ avg 20.2% → last ⅓ avg 21.2%

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

0.10Best match rating · 3–8 · train, 29 Sept →
47%Best headshot accuracy · 3–13 · mirage, 20 Jun →
391msFastest reaction time · 6–13 · ancient, 17 Jun →
13–0Biggest win · train, 22 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB3417–1750%-0.03
dust2B2613–1350%-0.02
cacheS96–367%-0.00
ancientD61–517%-0.05
nukeB63–350%-0.04
train—42–250%0.02
inferno—42–250%-0.03
anubis—30–30%0.01
vertigo—32–167%-0.03
overpass—20–20%-0.02
fachwerk—11–0100%-0.03
shelter—11–0100%0.05
office—10–10%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,074Lifetime kills
0.77K/D
880Matches
44.8%Match win rate
45.0%Headshot % · Top 50% of Purple band
1.2%Shot accuracy
1,158MVPs
939Hours (in match)
454Bombs planted
128Bombs defused

Most-used weapons

Lifetime map wins

1,913dust2
769nuke
434inferno
298vertigo
185train
76office
22italy
2ar_shoots

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

Faceit stats

Combat

9Matches
56%Win rate
0.92Avg K/D
70.3ADR
46%Headshot %

Clutches & streaks

43%1v1 clutch win
29%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke367%1.2113.3
Dust2367%0.8210.7
Cache250%0.7612.0
Mirage10%0.699.0

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.

20.3%Headshot accuracy
39.8%Accuracy (enemy spotted)
41.6%Spray accuracy
89.8%Counter-strafing
9.3°Preaim
575msReaction time
44.6%T opening success
38.2%CT opening success
0.58Enemies flashed / flash
2.5%Flash assists
3.49HE damage / grenade
5.71Flashes / 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

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

    CT opening duels 38.1671% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0515%29 Sept →
mirage13–30.0514%29 Sept →
cache13–5-0.0210%29 Sept →
train3–80.1035%29 Sept →
anubis15–15-0.0218%27 Sept →
mirage13–5-0.0417%27 Sept →
vertigo12–120.0123%25 Sept →
anubis5–130.0420%25 Sept →
dust21–13-0.0715%25 Sept →
cache13–80.0317%24 Sept →
anubis10–130.0124%24 Sept →
cache10–13-0.0717%24 Sept →
inferno13–4-0.0818%23 Sept →
mirage12–12-0.0218%23 Sept →
cache13–60.0315%23 Sept →
dust29–13-0.0735%22 Sept →
mirage11–13-0.0315%22 Sept →
mirage8–13-0.0823%20 Sept →
mirage7–13-0.0622%20 Sept →
ancient3–13-0.0713%18 Sept →
inferno4–13-0.0133%18 Sept →
fachwerk13–1-0.0312%18 Sept →
overpass10–130.0223%18 Sept →
dust213–6-0.0015%11 Sept →
mirage13–5-0.0317%11 Sept →
dust213–6-0.0116%10 Sept →
mirage13–10-0.0341%9 Sept →
dust210–13-0.0223%9 Sept →
nuke13–9-0.0719%27 Aug →
nuke8–13-0.0724%27 Aug →
mirage13–11-0.0337%27 Aug →
mirage13–9-0.0522%26 Aug →
dust211–13-0.0536%26 Aug →
mirage9–13-0.0815%16 Aug →
dust213–8-0.0437%16 Aug →
mirage13–100.0115%14 Aug →
dust25–13-0.0820%14 Aug →
mirage7–130.0425%8 Aug →
mirage8–130.0112%8 Aug →
mirage6–13-0.0411%8 Aug →
dust213–50.0524%8 Aug →
mirage13–10-0.0521%5 Aug →
nuke13–80.0222%29 Jul →
cache13–60.0720%29 Jul →
dust210–13-0.0515%29 Jul →
nuke9–13-0.076%26 Jul →
cache6–5-0.0136%26 Jul →
mirage9–13-0.088%26 Jul →
inferno13–3-0.0213%26 Jul →
nuke13–80.0138%21 Jul →
mirage3–13-0.0626%14 Jul →
shelter13–10.0525%12 Jul →
ancient6–13-0.0823%12 Jul →
mirage13–4-0.0322%12 Jul →
nuke6–13-0.0710%12 Jul →
dust213–20.0129%12 Jul →
dust213–30.0215%12 Jul →
cache13–4-0.0412%12 Jul →
dust27–13-0.0125%9 Jul →
mirage15–150.0219%9 Jul →
cache14–16-0.0615%9 Jul →
mirage13–7-0.0529%9 Jul →
train13–11-0.0013%8 Jul →
vertigo13–8-0.0814%7 Jul →
mirage13–10-0.0823%7 Jul →
mirage8–13-0.0825%6 Jul →
dust28–130.0120%3 Jul →
office4–13-0.0527%2 Jul →
dust213–70.0416%2 Jul →
mirage13–10-0.0212%2 Jul →
cache11–130.0422%2 Jul →
dust213–110.0034%1 Jul →
mirage12–5-0.0310%1 Jul →
dust213–5-0.0321%1 Jul →
dust23–8-0.1117%30 Jun →
mirage6–13-0.0426%30 Jun →
mirage13–110.0321%25 Jun →
dust213–70.0129%25 Jun →
vertigo13–10-0.0127%22 Jun →
mirage13–11-0.0624%22 Jun →
train12–12-0.0330%22 Jun →
train13–00.0223%22 Jun →
mirage13–90.0422%22 Jun →
dust213–5-0.0222%22 Jun →
dust26–13-0.0612%21 Jun →
mirage8–13-0.0222%21 Jun →
inferno7–13-0.0414%20 Jun →
dust211–13-0.046%20 Jun →
mirage3–13-0.0147%20 Jun →
overpass4–13-0.0633%20 Jun →
mirage13–4-0.0517%19 Jun →
ancient6–13-0.0320%17 Jun →
ancient3–13-0.0410%15 Jun →
ancient13–7-0.0214%15 Jun →
mirage6–13-0.0412%15 Jun →
ancient9–13-0.0212%14 Jun →
dust213–90.0117%14 Jun →
dust213–11-0.0312%12 Jun →
mirage4–13-0.0027%12 Jun →
dust29–13-0.0213%11 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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