Beastly LuKeY

Beastly LuKeY — CS2 Stats

US76561198154039295[U:1:193773567]Steam profile ↗✓ No bans

1,451Tracked matches31%Win rate2023Tracked since
1,333Hours in CS4Hrs last 2 wks
CSDB Rating3.0 LearningPositional Player
Premier CS Rating2,900Grey band · top ~87.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (8 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 29 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 2,900 +271 10 Aug23 Sept · 20 days played
1,9103,232peak 3,23210 Aug23 Sept
3,359Peak Premier in tracked matches
30Days played since 2026-07-29

Premier CS Rating

  • 332 below peak (3,232)
  • +990 over 30 days · improving
  • Next: Light Blue band at 5,000 2,100 to go

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 Grey band among CSDB-tracked players (n=3,562), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate31.5%38.2%39.9%8.5% short
Shot accuracy3.8%3.7%6.9%3.1% short
Kill/death ratio0.740.830.920.17 short
Match win rate39.7%40.2%42.3%2.5% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBeastly LuKeYPREMIER2,900 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim46
Positioning34
Utility22

0–100 skill scores via Leetify.

Recent form

COLD33661Last 10033%Win rateLWLWLWTLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.8pp headshot accuracy · +47ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 706ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 653ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 630ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim4.6
Utility2.2
Positioning3.4
Opening Duels0.4

Limited utility dependence

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

NiKo

Plays most like NiKo 90% 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

Areas to improve

Reaction time. 633ms 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

Aim4.6
Positioning3.4
Utility2.2
Mechanics5.6
Opening Duels0.5
Win Impact0.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.03
first ⅓ avg -0.06 → last ⅓ avg -0.03
Reaction time642ms−100ms
first ⅓ avg 742ms → last ⅓ avg 642ms
Headshot accuracy10.5%−1.2%
first ⅓ avg 11.7% → last ⅓ avg 10.5%

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

0.05Best match rating · 6–13 · inferno, 25 Aug
100%Best headshot accuracy · 0–4 · overpass, 29 Jul
484msFastest reaction time · 2–13 · mirage, 2 Sept
13–0Biggest win · inferno, 9 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
94In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 44% over 18dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC1881044%-0.03
mirageC1871139%-0.06
ancientD134931%-0.06
cacheC135838%-0.05
anubisD113827%-0.05
dust2D91811%-0.05
nukeD82625%-0.04
vertigoC52340%-0.05
overpass31233%-0.04
office1010%-0.12
train1010%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,933Lifetime kills
0.74K/D
1,955Matches
39.7%Match win rate
31.5%Headshot %
3.8%Shot accuracy · Top 50% of Grey band
2,701MVPs
768Hours (in match)
1,992Bombs planted
501Bombs defused

Most-used weapons

Lifetime map wins

3,271inferno
2,820dust2
1,543nuke
1,202vertigo
91train
79bank
72lake
51safehouse

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.

10.5%Headshot accuracy
32.8%Accuracy (enemy spotted)
33.5%Spray accuracy
75.0%Counter-strafing
9.7°Preaim
633msReaction time
31.6%T opening success
32.7%CT opening success
0.20Enemies flashed / flash
4.7%Flash assists
11.04HE damage / grenade
0.62Flashes / 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 10.4681% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1962 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 31.574% — below the 40% mark we flag

Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0211%15 Sept
mirage13–8-0.0313%15 Sept
dust24–130.0411%12 Sept
mirage13–8-0.0212%12 Sept
mirage11–13-0.0515%7 Sept
ancient13–5-0.056%7 Sept
anubis12–12-0.0412%7 Sept
inferno13–16-0.0316%5 Sept
dust211–13-0.0712%5 Sept
anubis8–130.0314%5 Sept
nuke10–130.0110%2 Sept
cache13–50.0315%2 Sept
inferno13–7-0.045%2 Sept
mirage2–13-0.0618%2 Sept
ancient8–13-0.057%2 Sept
inferno6–130.0112%2 Sept
inferno8–130.0213%2 Sept
cache13–9-0.0112%2 Sept
anubis13–50.0116%1 Sept
ancient9–13-0.045%1 Sept
ancient1–13-0.100%1 Sept
anubis13–11-0.0612%1 Sept
dust28–13-0.029%26 Aug
cache6–13-0.0715%26 Aug
cache10–13-0.057%26 Aug
office3–13-0.124%26 Aug
nuke13–7-0.035%25 Aug
inferno6–130.056%25 Aug
nuke4–130.0212%24 Aug
cache5–13-0.097%24 Aug
inferno3–13-0.039%24 Aug
mirage3–13-0.0917%22 Aug
anubis10–13-0.0611%21 Aug
mirage16–14-0.0110%21 Aug
ancient10–13-0.0211%21 Aug
dust22–13-0.127%20 Aug
dust213–6-0.0410%20 Aug
inferno13–11-0.016%20 Aug
mirage16–14-0.0614%20 Aug
dust23–13-0.1210%20 Aug
ancient6–13-0.105%20 Aug
vertigo9–13-0.1215%19 Aug
overpass9–13-0.0523%19 Aug
ancient3–13-0.1111%19 Aug
mirage16–13-0.0010%18 Aug
nuke4–13-0.116%18 Aug
dust25–13-0.0110%17 Aug
mirage13–16-0.0411%16 Aug
nuke1–12-0.0211%16 Aug
ancient0–8-0.037%14 Aug
vertigo13–9-0.0610%14 Aug
train5–13-0.084%14 Aug
anubis11–13-0.062%14 Aug
ancient13–16-0.1011%12 Aug
mirage7–13-0.0313%12 Aug
dust26–13-0.0115%12 Aug
inferno2–10.030%12 Aug
anubis7–13-0.0614%11 Aug
mirage4–13-0.0717%11 Aug
mirage11–13-0.0919%10 Aug
ancient16–13-0.0710%10 Aug
cache7–13-0.077%10 Aug
mirage8–13-0.0913%10 Aug
ancient13–110.0414%10 Aug
inferno13–0-0.0613%9 Aug
vertigo13–8-0.0511%9 Aug
inferno13–6-0.0919%9 Aug
nuke13–6-0.048%9 Aug
cache10–13-0.0413%9 Aug
inferno13–10-0.047%9 Aug
cache13–3-0.050%9 Aug
mirage6–13-0.130%8 Aug
inferno10–13-0.057%7 Aug
cache3–13-0.0819%7 Aug
anubis8–13-0.043%7 Aug
nuke7–13-0.0411%7 Aug
anubis8–13-0.110%7 Aug
inferno13–16-0.0410%6 Aug
cache7–13-0.080%6 Aug
inferno4–13-0.097%6 Aug
mirage1–13-0.0816%5 Aug
ancient13–11-0.0311%5 Aug
anubis2–13-0.110%5 Aug
inferno13–10-0.0818%5 Aug
dust29–13-0.0626%4 Aug
mirage13–10-0.0414%4 Aug
ancient5–13-0.100%4 Aug
inferno13–6-0.0816%4 Aug
inferno10–13-0.056%3 Aug
mirage13–11-0.078%3 Aug
cache7–13-0.0714%3 Aug
nuke4–9-0.080%3 Aug
anubis13–7-0.0310%2 Aug
overpass13–11-0.0311%2 Aug
cache13–3-0.1012%2 Aug
cache13–8-0.037%2 Aug
mirage6–13-0.107%31 Jul
vertigo7–13-0.0118%29 Jul
overpass0–4-0.05100%29 Jul
vertigo9–13-0.028%29 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 →