Chatski

Chatski — CS2 Stats

AU76561198030868353[U:1:70602625]Steam profile ↗✓ No bans

617Tracked matches47%Win rate2024Tracked since
1,674Hours in CS29Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating15,812Purple band · top ~25.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+370Premier CS Rating · 15,442 → 15,812

Rating over time

Premier CS Rating: 15,812 +1,843 5 Sept – 31 Oct · 22 days played
13,96917,799peak 17,7995 Sept31 Oct
18,132Peak Premier in tracked matches
27Days played since 2026-09-05

Premier CS Rating

  • 1,987 below peak (17,799)
  • -328 over 30 days · steady
  • Next: Pink band at 20,000 — 4,188 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.

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 rate34.2%44.4%46.9%12.7% short
Shot accuracy10.9%11.9%13.0%2.1% short
Kill/death ratio1.041.031.080.04 short
Match win rate39.4%45.2%46.7%7.3% short

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

Widest gap: Headshot rate. 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.GGChatskiPREMIER15,812 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning64
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWWLLLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −1.3pp headshot accuracy · +12ms 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 -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 625ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 575ms

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 (+2.2 against its own average).

Aim7.2
Utility4.3
Positioning6.4
Opening Duels3.7
Clutch2.6

Excellent counter-strafingStrong 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

jL

Plays most like jL 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 53% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim7.2
Positioning6.4
Utility4.3
Mechanics8.4
Opening Duels3.7
Win Impact3.9

Composite 6.1/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time590ms+4ms
first ⅓ avg 586ms → last ⅓ avg 590ms
Headshot accuracy13.6%+0.5%
first ⅓ avg 13.1% → last ⅓ avg 13.6%

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

0.20Best match rating · 13–3 · inferno, 23 Oct →
28%Best headshot accuracy · 4–13 · cache, 9 Oct →
406msFastest reaction time · 13–2 · ancient, 3 Oct →
13–1Biggest win · mirage, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 86% over 7cacheWeakest map · 0% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC238–1535%-0.02
dust2A1912–763%-0.00
infernoA1710–759%0.01
ancientB147–750%-0.03
cacheD100–100%0.02
nukeS76–186%-0.02
anubisS65–183%-0.00
overpass—20–20%-0.02
vertigo—10–10%-0.02
office—10–10%0.10

Across the last 100 tracked matches.

Lifetime stats

50,313Lifetime kills
1.04K/D · Top 50% of Purple band
2,500Matches
39.4%Match win rate
34.2%Headshot %
10.9%Shot accuracy
4,827MVPs
936Hours (in match)
2,892Bombs planted
538Bombs defused

Most-used weapons

AK-4715,300
AWP3,283
P902,083
P2501,367
MP71,008

Lifetime map wins

7,320dust2
3,735inferno
2,318nuke
252office
83vertigo
67italy
67train
52cbble

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

Faceit stats

Combat

15Matches
47%Win rate
0.87Avg K/D
76.1ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno475%0.9313.8
Ancient367%1.0917.0
Dust2367%0.9215.0
Mirage30%0.6715.3
Anubis20%0.6312.5

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.

12.9%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.7%Spray accuracy
88.0%Counter-strafing
9.6°Preaim
597msReaction time
36.2%T opening success
53.5%CT opening success
0.62Enemies flashed / flash
5.6%Flash assists
8.29HE damage / grenade
6.67Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.9194% — below the 15% mark we flag

    Aim Training →
  2. 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 36.1669% — below the 40% mark we flag

Spend your practice time on Cache

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

0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0413%31 Oct →
dust213–70.0514%30 Oct →
cache10–13-0.0110%30 Oct →
inferno14–16-0.0017%30 Oct →
mirage2–13-0.0819%29 Oct →
nuke13–60.0114%29 Oct →
anubis13–11-0.017%29 Oct →
inferno4–9-0.0518%29 Oct →
inferno6–9-0.0614%29 Oct →
inferno6–90.0126%29 Oct →
ancient5–13-0.0217%24 Oct →
mirage8–130.0213%24 Oct →
inferno13–3-0.0223%24 Oct →
cache11–130.0616%24 Oct →
inferno13–11-0.0315%23 Oct →
inferno13–30.2011%23 Oct →
cache9–130.0813%23 Oct →
mirage13–7-0.0314%23 Oct →
mirage13–9-0.0222%23 Oct →
mirage8–13-0.0220%20 Oct →
mirage13–90.0411%20 Oct →
ancient11–13-0.0410%20 Oct →
dust211–130.0110%20 Oct →
dust27–13-0.088%20 Oct →
inferno11–130.0311%20 Oct →
mirage10–13-0.078%20 Oct →
inferno13–70.0015%20 Oct →
dust213–80.008%20 Oct →
dust213–8-0.046%17 Oct →
nuke10–13-0.086%17 Oct →
dust210–130.0111%17 Oct →
mirage11–13-0.0817%17 Oct →
mirage13–60.0512%16 Oct →
inferno13–80.0614%16 Oct →
dust210–13-0.0210%16 Oct →
mirage12–120.0315%16 Oct →
cache3–13-0.077%16 Oct →
ancient15–15-0.096%16 Oct →
ancient13–90.0310%16 Oct →
dust211–13-0.008%14 Oct →
dust213–110.0212%14 Oct →
overpass7–130.0112%14 Oct →
anubis8–13-0.0512%10 Oct →
ancient13–7-0.0115%10 Oct →
inferno13–9-0.083%10 Oct →
ancient13–8-0.023%10 Oct →
mirage13–50.0316%10 Oct →
dust213–110.038%10 Oct →
inferno13–100.0113%9 Oct →
cache4–130.0028%9 Oct →
nuke13–10-0.009%9 Oct →
mirage13–9-0.0413%6 Oct →
mirage5–13-0.1013%6 Oct →
dust213–9-0.0120%6 Oct →
ancient10–13-0.067%6 Oct →
ancient5–13-0.0912%6 Oct →
nuke13–6-0.0819%6 Oct →
mirage13–10.0615%6 Oct →
dust213–90.0411%6 Oct →
mirage7–13-0.0618%4 Oct →
cache8–13-0.0319%4 Oct →
ancient13–10-0.027%4 Oct →
cache3–13-0.0410%3 Oct →
ancient13–2-0.0216%3 Oct →
mirage4–13-0.0615%3 Oct →
cache8–130.1021%29 Sept →
overpass10–13-0.0610%29 Sept →
anubis13–7-0.0218%29 Sept →
mirage13–10-0.0410%29 Sept →
dust28–13-0.0522%26 Sept →
anubis13–10-0.019%26 Sept →
ancient6–13-0.057%26 Sept →
vertigo10–13-0.0213%26 Sept →
dust213–11-0.035%26 Sept →
ancient15–150.008%24 Sept →
dust213–5-0.029%24 Sept →
mirage7–13-0.0715%24 Sept →
ancient13–11-0.005%24 Sept →
mirage7–13-0.0415%24 Sept →
office8–130.1026%24 Sept →
inferno13–80.108%24 Sept →
mirage12–12-0.0610%22 Sept →
nuke13–60.0224%22 Sept →
inferno10–130.0213%19 Sept →
anubis13–80.0811%19 Sept →
cache9–130.0415%18 Sept →
dust213–110.0015%16 Sept →
dust213–80.0319%16 Sept →
inferno11–13-0.0610%15 Sept →
dust213–50.0715%15 Sept →
mirage10–130.0215%15 Sept →
mirage12–120.1417%15 Sept →
cache3–130.0214%15 Sept →
inferno13–8-0.0513%15 Sept →
anubis16–130.0013%12 Sept →
dust215–15-0.029%11 Sept →
nuke13–11-0.0411%8 Sept →
mirage3–130.0112%8 Sept →
inferno13–90.0417%7 Sept →
nuke13–110.0110%5 Sept →

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 →

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