ch3uk

ch3uk — CS2 Stats

76561197968253152[U:1:7987424]Steam profile ↗✓ No bans

621Tracked matches62%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating17,422Purple band · top ~18.8% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (3 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: 17,422 +718 14 Aug – 7 Oct · 35 days played
14,42218,521peak 18,52114 Aug7 Oct
18,521Peak Premier in tracked matches
35Days played since 2026-08-14

Premier CS Rating

  • 1,099 below peak (18,521)
  • +295 over 30 days · steady
  • Next: Pink band at 20,000 — 2,578 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-11

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

Share this profile

CSDB.GGch3ukPREMIER17,422 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning60
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWWWLLWWWTL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.0pp headshot accuracy · +56ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 629ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 601ms

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 (+0.8 against its own average).

Aim5.0
Utility5.5
Positioning6.0
Opening Duels4.0

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

jL

Plays most like jL 74% 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

Reaction time. 619ms 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
Positioning6.0
Utility5.5
Mechanics5.9
Opening Duels6.2
Win Impact9.0

Composite 5.9/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time624ms+5ms
first ⅓ avg 619ms → last ⅓ avg 624ms
Headshot accuracy20.0%−3.8%
first ⅓ avg 23.7% → last ⅓ avg 20.0%

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

0.23Best match rating · 13–7 · cache, 27 Aug →
41%Best headshot accuracy · 13–3 · dust2, 21 Aug →
414msFastest reaction time · 6–13 · anubis, 30 Sept →
13–0Biggest win · mirage, 25 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
8–13In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 65% over 23infernoWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S2315–865%0.02
mirageB209–1145%0.01
ancientB147–750%0.02
cacheB137–654%-0.00
nukeA138–562%0.02
infernoD123–925%-0.02
anubisC52–340%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

71Matches
58%Win rate
1.23Avg K/D
—ADR
43%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

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.

19.3%Headshot accuracy
30.5%Accuracy (enemy spotted)
27.2%Spray accuracy
76.6%Counter-strafing
10.4°Preaim
619msReaction time
51.8%T opening success
58.1%CT opening success
0.54Enemies flashed / flash
7.2%Flash assists
8.96HE damage / grenade
5.96Flashes / 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–30.0618%7 Oct →
dust213–50.0619%7 Oct →
cache13–11-0.0317%7 Oct →
mirage5–13-0.0121%6 Oct →
ancient10–13-0.0118%6 Oct →
dust213–10-0.0417%1 Oct →
mirage13–80.0527%1 Oct →
ancient13–80.0221%1 Oct →
dust215–15-0.0213%30 Sept →
mirage11–13-0.0413%30 Sept →
anubis6–13-0.0911%30 Sept →
nuke13–70.0513%30 Sept →
mirage8–13-0.0315%29 Sept →
cache13–7-0.0120%29 Sept →
dust214–16-0.0621%29 Sept →
anubis13–90.0222%26 Sept →
inferno16–130.0226%25 Sept →
mirage13–00.1527%25 Sept →
dust213–30.0525%25 Sept →
dust213–10-0.0114%24 Sept →
mirage14–16-0.0223%24 Sept →
nuke8–13-0.0424%24 Sept →
inferno13–7-0.0126%24 Sept →
mirage13–6-0.0015%22 Sept →
dust213–100.0412%22 Sept →
mirage8–130.0222%22 Sept →
anubis13–110.0121%22 Sept →
cache8–130.0229%21 Sept →
mirage10–130.0010%21 Sept →
ancient13–110.0521%21 Sept →
dust213–100.0625%21 Sept →
mirage6–13-0.0422%19 Sept →
cache16–140.0729%19 Sept →
ancient6–130.0315%19 Sept →
inferno10–13-0.0126%19 Sept →
dust213–4-0.0311%18 Sept →
ancient11–13-0.0727%18 Sept →
inferno13–70.0330%18 Sept →
cache7–13-0.0818%18 Sept →
mirage13–60.0729%17 Sept →
inferno10–13-0.0113%17 Sept →
ancient10–130.0617%17 Sept →
mirage2–13-0.0217%17 Sept →
nuke16–14-0.0117%16 Sept →
nuke8–130.0221%15 Sept →
dust26–13-0.0218%15 Sept →
ancient13–30.0732%14 Sept →
mirage3–130.0429%14 Sept →
nuke9–130.0010%13 Sept →
cache11–13-0.0318%13 Sept →
nuke13–70.0417%13 Sept →
dust26–130.0126%12 Sept →
nuke16–140.0519%12 Sept →
dust213–110.0223%12 Sept →
inferno3–13-0.063%11 Sept →
inferno10–13-0.0710%11 Sept →
ancient13–100.0520%10 Sept →
dust27–13-0.0517%10 Sept →
ancient14–16-0.0124%2 Sept →
cache13–7-0.0412%2 Sept →
dust213–70.1118%31 Aug →
cache9–13-0.0719%31 Aug →
inferno14–160.0617%31 Aug →
ancient16–130.0118%29 Aug →
dust213–30.0229%29 Aug →
nuke14–16-0.0124%29 Aug →
cache11–13-0.0519%28 Aug →
cache13–70.2319%27 Aug →
anubis7–13-0.0513%27 Aug →
mirage11–13-0.0325%27 Aug →
ancient13–90.1126%26 Aug →
cache11–130.0020%25 Aug →
mirage13–50.0427%24 Aug →
inferno5–13-0.0520%24 Aug →
mirage13–40.0419%24 Aug →
dust213–60.1124%24 Aug →
cache13–9-0.0823%21 Aug →
dust213–3-0.0225%21 Aug →
mirage13–11-0.0321%21 Aug →
dust213–30.0341%21 Aug →
inferno10–13-0.0226%19 Aug →
nuke13–50.0528%19 Aug →
cache13–3-0.0025%19 Aug →
ancient9–130.0226%18 Aug →
nuke13–80.0733%18 Aug →
ancient13–50.0320%18 Aug →
mirage13–3-0.0520%17 Aug →
nuke10–130.0826%17 Aug →
inferno8–13-0.0041%17 Aug →
dust29–130.0121%16 Aug →
mirage13–20.0232%16 Aug →
inferno11–13-0.0711%16 Aug →
nuke13–8-0.0115%16 Aug →
ancient15–15-0.0119%15 Aug →
nuke13–100.0223%15 Aug →
dust211–130.0916%15 Aug →
anubis3–13-0.0618%14 Aug →
dust213–70.0138%14 Aug →
mirage3–13-0.0133%14 Aug →
dust24–13-0.0411%14 Aug →

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 →

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