chukhna

chukhna — CS2 Stats

76561198000932007[U:1:40666279]Steam profile ↗✓ No bans

2,557Tracked matches50%Win rate2020Tracked since
CSDB Rating7.4 StrongAll-Rounder
Premier CS Rating17,077Purple band · top ~20.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 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

17,514Peak Premier in tracked matches
26Days played since 2026-09-08

Premier CS Rating

  • At peak — 17,077
  • Next: Pink band at 20,000 — 2,923 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGchukhnaPREMIER17,077 · Purple bandcsdb.gg/stats

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Performance scores

Aim82
Positioning75
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY35–57–8Last 10035%Win rateLWWWLWWLLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +0.3pp headshot accuracy · +17ms 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 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 562ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 592ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 584ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.2
Utility6.9
Positioning7.5
Opening Duels6.9

Strong T-side openerEffective flashes

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

device

Plays most like device 89% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 77% T opening-duel success — entries that actually open the round.

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 77% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 584ms 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

Aim8.2
Positioning7.5
Utility6.9
Mechanics7.5
Opening Duels7.5
Win Impact5.0

Composite 7.4/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time585ms+2ms
first ⅓ avg 583ms → last ⅓ avg 585ms
Headshot accuracy21.0%−3.4%
first ⅓ avg 24.4% → last ⅓ avg 21.0%

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

0.27Best match rating · 13–3 · nuke, 16 Oct →
40%Best headshot accuracy · 2–13 · dust2, 13 Sept →
398msFastest reaction time · 6–9 · inferno, 16 Oct →
13–0Biggest win · cache, 13 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–5In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 46% over 24vertigoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
cacheB2411–1346%0.03
infernoC238–1535%0.01
nukeC125–742%0.01
vertigoD112–918%0.01
overpassD72–529%0.01
ancientC73–443%-0.01
anubisD51–420%0.04
dust2C52–340%-0.03
mirage—30–30%0.01
train—31–233%0.00

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
39.0%Spray accuracy
83.6%Counter-strafing
8.9°Preaim
584msReaction time
77.4%T opening success
49.6%CT opening success
0.76Enemies flashed / flash
13.6%Flash assists
11.59HE damage / grenade
8.14Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0919%31 Oct →
anubis13–100.0517%31 Oct →
inferno13–50.0919%31 Oct →
cache13–110.0928%31 Oct →
vertigo9–130.0121%31 Oct →
cache13–70.0825%31 Oct →
overpass13–60.1419%30 Oct →
vertigo6–13-0.0317%30 Oct →
mirage8–130.0326%30 Oct →
ancient13–1-0.0218%30 Oct →
ancient2–13-0.0814%30 Oct →
dust210–13-0.0525%30 Oct →
train13–110.0316%30 Oct →
inferno9–130.0221%29 Oct →
cache6–13-0.0223%29 Oct →
vertigo13–90.0718%29 Oct →
cache13–60.0733%27 Oct →
ancient13–11-0.0222%27 Oct →
inferno13–6-0.0020%27 Oct →
inferno13–8-0.0315%26 Oct →
nuke3–130.0123%26 Oct →
cache10–130.0925%26 Oct →
train7–130.0121%26 Oct →
cache8–130.0220%25 Oct →
mirage7–130.0127%25 Oct →
inferno12–120.0321%22 Oct →
cache12–120.0613%22 Oct →
nuke6–2-0.0315%22 Oct →
mirage8–13-0.0123%20 Oct →
inferno13–11-0.0428%20 Oct →
cache9–130.0622%20 Oct →
anubis12–120.0622%19 Oct →
dust213–4-0.0119%19 Oct →
inferno12–12-0.0118%19 Oct →
cache13–60.1218%19 Oct →
nuke13–110.0427%19 Oct →
anubis7–130.0223%18 Oct →
nuke7–130.0429%18 Oct →
cache13–9-0.0423%18 Oct →
inferno10–130.0723%18 Oct →
cache10–13-0.0337%18 Oct →
inferno7–13-0.0525%17 Oct →
cache13–11-0.0129%17 Oct →
overpass13–90.0325%17 Oct →
vertigo5–130.0519%17 Oct →
overpass4–130.0831%16 Oct →
inferno11–130.0728%16 Oct →
cache13–100.0119%16 Oct →
nuke13–30.2735%16 Oct →
inferno6–9-0.0718%16 Oct →
ancient7–13-0.0220%7 Oct →
inferno11–13-0.0120%7 Oct →
cache13–20.1127%7 Oct →
inferno13–100.0822%5 Oct →
vertigo1–130.0531%5 Oct →
cache11–13-0.0225%5 Oct →
inferno5–13-0.0429%4 Oct →
cache13–30.0216%4 Oct →
ancient7–130.0318%4 Oct →
dust28–13-0.0313%29 Sept →
vertigo9–13-0.007%29 Sept →
cache10–13-0.0419%29 Sept →
inferno12–12-0.0212%29 Sept →
nuke13–7-0.0222%28 Sept →
dust213–5-0.0523%26 Sept →
overpass12–12-0.0617%26 Sept →
inferno10–13-0.0533%26 Sept →
overpass6–13-0.0319%24 Sept →
ancient8–130.0317%24 Sept →
nuke9–13-0.0137%24 Sept →
cache6–130.0014%23 Sept →
overpass9–13-0.0311%23 Sept →
vertigo8–13-0.0116%23 Sept →
nuke8–13-0.0520%23 Sept →
inferno13–110.0116%21 Sept →
vertigo12–120.0427%21 Sept →
ancient13–10-0.0125%21 Sept →
cache13–110.0416%21 Sept →
inferno13–90.0318%14 Sept →
vertigo13–8-0.0420%14 Sept →
nuke13–70.0225%14 Sept →
cache4–130.0826%14 Sept →
anubis0–13-0.0136%14 Sept →
anubis6–130.0935%13 Sept →
overpass5–13-0.0519%13 Sept →
cache11–13-0.0327%13 Sept →
inferno4–130.0331%13 Sept →
nuke5–130.0316%13 Sept →
cache11–13-0.0323%13 Sept →
vertigo7–130.0127%13 Sept →
dust22–13-0.0140%13 Sept →
cache13–00.0731%13 Sept →
train12–12-0.0327%13 Sept →
nuke1–13-0.0825%13 Sept →
inferno9–130.0831%13 Sept →
inferno8–13-0.0036%12 Sept →
cache2–9-0.0233%10 Sept →
vertigo9–13-0.0315%10 Sept →
inferno8–130.0126%10 Sept →
inferno13–90.0122%8 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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