The one the not only vuny

The one the not only vuny — CS2 Stats

DK76561198000433441[U:1:40167713]Steam profile ↗✓ No bans

125Tracked matches45%Win rate2020Tracked since
1,408Hours in CS
CSDB Rating4.4 DevelopingSupport
Premier CS Rating12,566Blue band · top ~41.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Jan 2026 (283 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: 12,566 +1,832 28 Sept – 17 Jan · 39 days played
10,54112,566peak 12,56628 Sept17 Jan
12,566Peak Premier in tracked matches
48Days played since 2025-08-08

Premier CS Rating

  • At peak — 12,566
  • +915 over 30 days · improving
  • +1,565 over 90 days
  • Next: Purple band at 15,000 — 2,434 to go
  • Reached: Blue band · Light Blue band

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 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 rate43.0%42.0%44.4%1.3% short
Shot accuracy16.0%9.6%11.9%above
Kill/death ratio0.800.981.030.23 short
Match win rate36.1%43.8%45.2%9.1% short

This profile matches the typical Purple band player on 1 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.

Share this profile

CSDB.GGThe one the not only vunyPREMIER12,566 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning40
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWLWLLWLWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −2.0pp headshot accuracy · +28ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 696ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 702ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 688ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim5.0
Utility4.8
Positioning4.0
Opening Duels2.6

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 671ms 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

Aim5.0
Positioning4.0
Utility4.8
Mechanics7.0
Opening Duels2.0
Win Impact3.3

Composite 4.4/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time674ms−33ms
first ⅓ avg 707ms → last ⅓ avg 674ms
Headshot accuracy16.1%+1.3%
first ⅓ avg 14.8% → last ⅓ avg 16.1%

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

0.09Best match rating · 13–0 · overpass, 17 Nov →
44%Best headshot accuracy · 4–13 · inferno, 4 Dec →
469msFastest reaction time · 13–9 · inferno, 15 Dec →
13–0Biggest win · overpass, 17 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 65% over 20trainWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC219–1243%-0.03
infernoS2013–765%-0.02
mirageC207–1335%-0.01
overpassD175–1229%-0.01
ancientC104–640%-0.01
trainD81–713%-0.04
dust2—42–250%0.01

Across the last 100 tracked matches.

Lifetime stats

49,564Lifetime kills
0.80K/D
2,241Matches
36.1%Match win rate
43.0%Headshot % · Top 50% of Blue band
16.0%Shot accuracy · Top 25% of Blue band
3,914MVPs
1,408Hours (in match)
1,290Bombs planted
440Bombs defused

Most-used weapons

AK-4720,116
AWP1,874
SG 5531,814
P901,372
P250906
AUG851

Lifetime map wins

4,376inferno
3,817dust2
3,069nuke
643train
203vertigo
164italy
138aztec
121office

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.

16.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.1%Spray accuracy
81.6%Counter-strafing
11.0°Preaim
671msReaction time
31.2%T opening success
44.5%CT opening success
0.54Enemies flashed / flash
2.3%Flash assists
2.63HE damage / grenade
13.43Flashes / 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 31.2176% — below the 40% mark we flag

Spend your practice time on Train

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–30.069%17 Jan →
overpass3–13-0.0611%17 Jan →
nuke13–110.0313%17 Jan →
overpass7–130.0127%16 Jan →
mirage14–16-0.0014%16 Jan →
inferno13–10-0.0210%11 Jan →
nuke10–13-0.0320%11 Jan →
inferno13–40.0023%11 Jan →
mirage13–80.0525%10 Jan →
dust213–80.0216%9 Jan →
overpass4–130.0011%9 Jan →
nuke10–13-0.0226%9 Jan →
dust213–7-0.009%7 Jan →
ancient4–130.0321%5 Jan →
train7–130.0337%2 Jan →
inferno13–8-0.0215%2 Jan →
train5–13-0.1015%30 Dec →
overpass6–130.0116%30 Dec →
mirage9–13-0.0619%30 Dec →
mirage13–4-0.0119%29 Dec →
nuke15–15-0.0511%29 Dec →
mirage11–13-0.0113%22 Dec →
ancient13–80.0513%22 Dec →
mirage12–160.0314%21 Dec →
inferno13–110.0222%21 Dec →
overpass7–13-0.0115%20 Dec →
dust28–13-0.059%20 Dec →
nuke10–13-0.0617%19 Dec →
nuke13–9-0.0019%19 Dec →
mirage13–11-0.0213%19 Dec →
nuke11–130.0213%17 Dec →
inferno13–9-0.0110%15 Dec →
overpass16–12-0.069%14 Dec →
ancient16–140.016%10 Dec →
mirage14–16-0.0115%8 Dec →
inferno4–13-0.0944%4 Dec →
nuke13–10-0.0315%4 Dec →
nuke6–130.0015%2 Dec →
inferno13–60.0324%2 Dec →
mirage9–130.0213%1 Dec →
ancient9–13-0.0521%1 Dec →
nuke4–13-0.0818%1 Dec →
mirage10–130.0420%29 Nov →
inferno15–15-0.0714%26 Nov →
ancient11–130.0623%26 Nov →
mirage13–16-0.0123%19 Nov →
train6–13-0.0418%19 Nov →
inferno13–9-0.0220%17 Nov →
nuke13–7-0.0221%17 Nov →
overpass13–00.0913%17 Nov →
train12–16-0.0213%16 Nov →
inferno13–11-0.0317%10 Nov →
mirage6–13-0.0721%10 Nov →
inferno6–13-0.0223%10 Nov →
inferno11–13-0.039%8 Nov →
mirage13–10-0.0114%8 Nov →
ancient13–6-0.052%8 Nov →
inferno15–15-0.0017%1 Nov →
overpass11–13-0.0312%1 Nov →
mirage4–13-0.087%1 Nov →
overpass3–13-0.0517%1 Nov →
inferno13–11-0.0223%27 Oct →
mirage13–90.0312%27 Oct →
train4–13-0.069%20 Oct →
inferno13–80.0115%20 Oct →
mirage6–13-0.0719%20 Oct →
ancient6–13-0.0614%17 Oct →
mirage11–13-0.0313%17 Oct →
nuke13–9-0.0222%17 Oct →
overpass10–13-0.0316%16 Oct →
ancient15–15-0.0512%15 Oct →
inferno13–16-0.0024%15 Oct →
nuke4–13-0.084%12 Oct →
train3–13-0.0222%12 Oct →
mirage13–80.0121%6 Oct →
overpass13–80.0623%6 Oct →
mirage13–110.0317%29 Sept →
train6–13-0.0517%29 Sept →
nuke13–9-0.0313%28 Sept →
overpass8–13-0.0615%28 Sept →
overpass7–130.006%26 Sept →
nuke6–13-0.0713%26 Sept →
nuke13–9-0.0114%24 Sept →
nuke6–13-0.0713%24 Sept →
ancient2–13-0.069%24 Sept →
nuke14–16-0.0718%12 Sept →
inferno13–8-0.0115%12 Sept →
ancient13–10-0.0316%12 Sept →
overpass6–13-0.0512%10 Sept →
dust26–130.0721%10 Sept →
overpass9–13-0.0114%25 Aug →
nuke13–100.0320%25 Aug →
mirage4–13-0.0912%25 Aug →
overpass13–11-0.0113%18 Aug →
nuke6–13-0.0615%18 Aug →
inferno9–13-0.1115%18 Aug →
inferno16–14-0.0220%15 Aug →
nuke13–6-0.036%15 Aug →
overpass13–6-0.0410%12 Aug →
train13–8-0.069%8 Aug →

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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