chukhna

chukhna — CS2 Stats

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

2,507Tracked matches37%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim79
Positioning69
Utility67

0–100 skill scores via Leetify.

Recent form

COLD30–58–12Last 10030%Win rateLLWWLLLWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +1.3pp headshot accuracy · −66ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 547ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 537ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

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).

Aim7.9
Utility6.7
Positioning6.9
Opening Duels4.2

Effective 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

ZywOo

Plays most like ZywOo 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 66% T opening-duel success — entries that actually open the round.

Areas to improve

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

Aim7.9
Positioning6.9
Utility6.7
Mechanics8.1
Opening Duels7.3
Win Impact0.7

Composite 6.8/10 (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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time574ms−80ms
first ⅓ avg 654ms → last ⅓ avg 574ms
Headshot accuracy21.1%−4.3%
first ⅓ avg 25.3% → last ⅓ avg 21.1%

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

0.11Best match rating · 13–2 · cache, 7 Oct →
44%Best headshot accuracy · 11–6 · cache, 21 Aug →
391msFastest reaction time · 13–8 · cache, 6 Sept →
13–0Biggest win · cache, 13 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
3–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 50% over 26infernoWeakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
cacheB2613–1350%0.01
infernoD214–1719%0.01
nukeD123–925%-0.02
vertigoD102–820%0.00
ancientD92–722%0.01
overpassD93–633%-0.01
dust2D51–420%-0.01
train—42–250%0.01
anubis—30–30%0.03
mirage—10–10%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Inferno 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.

20.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
33.2%Spray accuracy
86.5%Counter-strafing
8.7°Preaim
566msReaction time
66.5%T opening success
52.1%CT opening success
0.74Enemies flashed / flash
10.3%Flash assists
14.94HE damage / grenade
7.28Flashes / match

Recommended for you

Spend your practice time on Inferno

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

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
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 →
overpass2–13-0.0519%8 Sept →
cache13–90.0235%8 Sept →
cache13–110.0233%7 Sept →
vertigo13–5-0.0515%7 Sept →
nuke12–120.0615%7 Sept →
vertigo12–12-0.0029%6 Sept →
nuke5–13-0.0224%6 Sept →
cache13–8-0.0127%6 Sept →
ancient2–13-0.0222%6 Sept →
inferno5–130.0631%3 Sept →
anubis10–130.0019%3 Sept →
ancient8–130.0116%3 Sept →
dust22–130.0221%1 Sept →
inferno12–12-0.0628%1 Sept →
overpass10–130.0121%26 Aug →
cache13–100.0633%26 Aug →
inferno9–130.1033%26 Aug →
nuke11–130.0229%26 Aug →
cache13–9-0.0529%25 Aug →
inferno8–130.0227%25 Aug →
cache13–10.0929%24 Aug →
train13–100.0227%24 Aug →
overpass13–50.0327%23 Aug →
inferno12–160.0331%22 Aug →
overpass13–20.0717%22 Aug →
cache13–50.0827%22 Aug →
train12–120.0234%22 Aug →
vertigo12–120.0530%22 Aug →
dust25–130.0519%21 Aug →
mirage11–130.0232%21 Aug →
cache11–60.0144%21 Aug →
inferno8–130.0121%20 Aug →
nuke12–120.0227%20 Aug →
cache9–130.0024%20 Aug →
inferno12–12-0.0916%16 Aug →
cache11–13-0.1018%16 Aug →
ancient13–90.0514%16 Aug →
cache4–13-0.0521%16 Aug →
cache12–120.0221%10 Aug →
nuke2–13-0.0941%10 Aug →
inferno11–13-0.0026%9 Aug →
train13–00.0019%9 Aug →
ancient1–13-0.0126%9 Aug →
overpass13–8-0.0022%9 Aug →
cache3–130.0326%9 Aug →
inferno12–16-0.0520%3 Aug →
nuke13–7-0.088%3 Aug →
cache10–13-0.0643%3 Aug →
ancient10–130.0221%30 Jul →
cache13–8-0.0421%30 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.