♛︎tuhkur♛

♛︎tuhkur♛ — CS2 Stats

EE76561197977706408[U:1:17440680]Steam profile ↗✓ No bans

460Tracked matches57%Win rate2025Tracked since
192Hours in CS
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating13,784Blue band · top ~34.8% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). 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: 13,784 +1,530 5 May – 1 Oct · 30 days played
10,94915,000peak 15,0005 May1 Oct
15,114Peak Premier in tracked matches
36Days played since 2026-05-05

Premier CS Rating

  • 1,216 below peak (15,000)
  • Next: Purple band at 15,000 — 1,216 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-25

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches7——
Win rate14%——
K/D0.59——
Headshot %47%——

Measured 25 Sep 2026 → 2 Oct 2026; no observation near 14 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 rate44.7%42.0%44.3%meets
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.060.981.03above
Match win rate47.3%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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.GG♛︎tuhkur♛PREMIER13,784 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim65
Positioning52
Utility51

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLLLLLLWWLL

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · −4.9pp headshot accuracy · −18ms reaction

Win rate down 50pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 568ms

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 against its own average).

Aim6.5
Utility5.1
Positioning5.2
Opening Duels2.2

Strong CT-side opener

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 50% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Aim6.5
Positioning5.2
Utility5.1
Mechanics6.3
Opening Duels2.5
Win Impact7.2

Composite 5.4/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time562ms−30ms
first ⅓ avg 592ms → last ⅓ avg 562ms
Headshot accuracy20.5%+0.3%
first ⅓ avg 20.1% → last ⅓ avg 20.5%

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

0.17Best match rating · 13–2 · inferno, 18 Jun →
47%Best headshot accuracy · 16–12 · dust2, 8 May →
391msFastest reaction time · 0–6 · ancient, 8 May →
13–1Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
13–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 9nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%-0.01
dust2C208–1240%-0.01
ancientA1811–761%0.01
infernoA148–657%0.02
cacheS96–367%0.01
anubisB84–450%-0.02
nukeD62–433%0.03
overpass—22–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,789Lifetime kills
1.06K/D · Top 50% of Blue band
550Matches
47.3%Match win rate · Top 25% of Blue band
44.7%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
1,332MVPs
192Hours (in match)
737Bombs planted
136Bombs defused

Most-used weapons

Lifetime map wins

1,016dust2
730inferno
414nuke
100vertigo
31office
14safehouse
10train

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.

19.9%Headshot accuracy
30.9%Accuracy (enemy spotted)
31.3%Spray accuracy
78.5%Counter-strafing
9.2°Preaim
566msReaction time
27.5%T opening success
50.1%CT opening success
0.52Enemies flashed / flash
9.3%Flash assists
7.33HE damage / grenade
6.45Flashes / 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 27.4834% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–130.0016%1 Oct →
dust25–13-0.0417%1 Oct →
mirage5–13-0.0924%30 Sept →
ancient12–16-0.0711%29 Sept →
dust24–13-0.0110%29 Sept →
dust26–130.019%24 Sept →
anubis13–9-0.0120%24 Sept →
ancient13–11-0.0329%24 Sept →
cache0–13-0.0342%24 Sept →
ancient4–13-0.0913%24 Sept →
mirage13–20.0414%24 Sept →
ancient13–100.0341%23 Sept →
inferno13–9-0.0216%23 Sept →
dust211–13-0.0016%23 Sept →
cache13–11-0.0514%23 Sept →
inferno9–50.0418%20 Sept →
mirage5–13-0.0627%19 Sept →
cache13–80.0235%19 Sept →
mirage3–13-0.0439%19 Sept →
mirage16–140.0820%18 Sept →
ancient13–60.0617%18 Sept →
mirage16–140.0319%18 Sept →
dust20–13-0.1515%18 Sept →
mirage13–5-0.026%17 Sept →
mirage16–14-0.0516%17 Sept →
mirage13–1-0.0117%17 Sept →
ancient13–70.0521%17 Sept →
mirage13–11-0.0523%16 Sept →
nuke3–13-0.0312%16 Sept →
inferno13–5-0.0012%16 Sept →
ancient13–10.0535%16 Sept →
cache6–00.0830%16 Sept →
dust213–9-0.0223%15 Sept →
dust27–13-0.0216%15 Sept →
anubis7–13-0.0533%15 Sept →
anubis16–14-0.0624%14 Sept →
dust24–13-0.0236%14 Sept →
nuke4–130.0642%14 Sept →
inferno9–20.1126%14 Sept →
dust213–40.1310%13 Sept →
ancient13–50.0119%13 Sept →
dust25–13-0.0320%12 Sept →
ancient8–130.0122%18 Jun →
overpass13–30.0920%18 Jun →
anubis13–110.0611%18 Jun →
nuke8–80.0419%18 Jun →
inferno13–20.1729%18 Jun →
mirage8–130.0418%17 Jun →
dust212–160.0426%16 Jun →
dust26–20.0329%16 Jun →
mirage9–130.0117%15 Jun →
ancient13–70.0228%15 Jun →
inferno7–13-0.0619%15 Jun →
mirage6–130.0815%13 Jun →
mirage8–130.0631%6 Jun →
ancient13–10.0315%5 Jun →
ancient13–10.0321%4 Jun →
inferno11–130.0318%3 Jun →
dust213–8-0.0514%31 May →
anubis6–130.0120%31 May →
inferno13–40.0125%30 May →
mirage10–130.0515%26 May →
anubis8–130.0014%25 May →
ancient16–140.0715%24 May →
mirage8–13-0.0014%24 May →
dust213–40.0332%24 May →
dust20–13-0.1027%19 May →
inferno8–130.0118%14 May →
ancient11–13-0.0015%14 May →
cache7–13-0.0317%10 May →
overpass13–90.0014%9 May →
ancient11–130.0232%9 May →
dust22–13-0.0932%9 May →
mirage13–11-0.0415%9 May →
dust213–10.0333%9 May →
dust216–12-0.0347%8 May →
nuke16–14-0.0127%8 May →
inferno9–70.0927%8 May →
nuke7–90.038%8 May →
mirage10–13-0.0117%8 May →
ancient0–6-0.080%8 May →
mirage3–13-0.0817%8 May →
mirage5–13-0.0115%7 May →
ancient13–50.0415%7 May →
cache13–9-0.0226%7 May →
inferno3–9-0.1412%7 May →
cache4–130.0126%7 May →
inferno10–13-0.0626%6 May →
anubis13–11-0.0326%6 May →
ancient3–13-0.0313%6 May →
cache13–100.0716%6 May →
inferno9–40.0413%6 May →
dust213–7-0.0020%6 May →
dust28–130.0220%5 May →
mirage0–13-0.0632%5 May →
mirage3–13-0.0422%5 May →
mirage13–4-0.0414%5 May →
nuke13–100.0814%5 May →
cache13–30.0425%5 May →
anubis5–13-0.0810%5 May →

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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