Lukiewookiepookie

Lukiewookiepookie — CS2 Stats

NZ76561198406142707[U:1:445876979]Steam profile ↗✓ No bans

1,445Tracked matches56%Win rate2023Tracked since
4,293Hours in CS41Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating23,128Top 25% of 204,150 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#40354 of 251238 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (7 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: 23,128 +1,280 12 Sept – 4 Oct · 14 days played
21,84823,768peak 23,76812 Sept4 Oct
24,144Peak Premier in tracked matches
22Days played since 2026-09-12

Premier CS Rating

  • 640 below peak (23,768)
  • Next: Red band at 25,000 — 1,872 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches206——
Win rate52%——
K/D1.24——
Headshot %60%——

Measured 15 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.0%46.9%49.2%6.2% short
Shot accuracy12.5%13.0%13.4%0.9% short
Kill/death ratio1.051.081.120.07 short
Match win rate35.6%46.7%48.5%12.9% short

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

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLukiewookiepookiePREMIER23,128 · Pink 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

Aim84
Positioning77
Utility54

0–100 skill scores via Leetify.

Recent form

COLD53–40–7Last 10053%Win rateLLLLWLLLLW

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −5.6pp headshot accuracy · +36ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 514ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 536ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 518ms

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 (+1.1 against its own average).

Aim8.4
Utility5.4
Positioning7.7
Opening Duels6.7

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

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-duel success, positioning 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. 70% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.4
Positioning7.7
Utility5.4
Mechanics6.6
Opening Duels8.5
Win Impact6.9

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time516ms+4ms
first ⅓ avg 512ms → last ⅓ avg 516ms
Headshot accuracy26.4%−8.4%
first ⅓ avg 34.8% → last ⅓ avg 26.4%

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

0.18Best match rating · 2–0 · cache, 15 Sept →
100%Best headshot accuracy · 0–3 · mirage, 20 Sept →
375msFastest reaction time · 13–10 · office, 26 Sept →
13–0Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L4Current streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

officeBest map · 89% over 9nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%0.02
dust2B115–645%0.03
officeS98–189%0.01
vertigoA95–456%0.02
cacheC94–544%0.05
infernoA95–456%0.02
nukeC83–538%0.00
anubisC73–443%0.05
ancientA74–357%0.01
rush_001S64–267%-0.00
train—22–0100%0.03
overpass—21–150%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,901Lifetime kills
1.05K/D
6,336Matches
35.6%Match win rate
43.0%Headshot %
12.5%Shot accuracy
9,805MVPs
2,192Hours (in match)
2,949Bombs planted
916Bombs defused

Most-used weapons

AK-4738,140
AWP28,902
SSG 082,745
MAG-71,473
P2501,233
Knife1,190

Lifetime map wins

9,363dust2
3,293inferno
1,674train
1,622nuke
1,238vertigo
405office
262cbble
19lake

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.

26.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
33.2%Spray accuracy
79.8%Counter-strafing
8.8°Preaim
508msReaction time
69.5%T opening success
58.8%CT opening success
0.50Enemies flashed / flash
6.2%Flash assists
9.53HE damage / grenade
11.01Flashes / 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. 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 0.4997 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0221%11 Oct →
mirage4–130.0118%11 Oct →
anubis8–130.0617%11 Oct →
office7–13-0.1038%4 Oct →
mirage13–50.0718%4 Oct →
vertigo8–13-0.0123%4 Oct →
cache6–13-0.0016%4 Oct →
cache5–13-0.0124%4 Oct →
inferno7–13-0.0223%3 Oct →
dust213–60.0628%3 Oct →
train8–0-0.0118%3 Oct →
dust213–110.0331%3 Oct →
anubis13–00.1527%3 Oct →
ancient13–5-0.0324%3 Oct →
ancient13–30.1040%2 Oct →
vertigo12–12-0.0123%2 Oct →
nuke4–13-0.0428%30 Sept →
dust213–110.0833%30 Sept →
mirage11–13-0.0233%30 Sept →
inferno13–100.0227%30 Sept →
anubis13–50.0127%29 Sept →
anubis10–130.0328%29 Sept →
cache12–120.0737%29 Sept →
dust212–120.0331%28 Sept →
train13–110.0731%28 Sept →
rush_0015–8-0.0736%27 Sept →
rush_0018–40.0927%27 Sept →
vertigo13–9-0.0132%27 Sept →
cache13–30.0218%27 Sept →
vertigo13–10-0.0519%27 Sept →
dust24–13-0.0122%27 Sept →
office13–100.0231%26 Sept →
mirage4–13-0.1125%26 Sept →
overpass5–130.0015%26 Sept →
vertigo8–130.0328%26 Sept →
dust216–13-0.0130%26 Sept →
rush_0016–2-0.006%26 Sept →
rush_0014–00.1144%26 Sept →
rush_0016–2-0.1127%26 Sept →
dust213–110.0537%26 Sept →
mirage3–130.0138%26 Sept →
cache13–60.0431%26 Sept →
rush_0016–8-0.0433%25 Sept →
overpass13–50.0924%25 Sept →
mirage13–10.0122%25 Sept →
dust28–130.0324%25 Sept →
vertigo13–30.1434%25 Sept →
inferno10–13-0.0824%24 Sept →
cache8–130.0021%24 Sept →
mirage7–130.0516%24 Sept →
nuke13–16-0.0215%23 Sept →
vertigo13–40.0544%23 Sept →
mirage8–130.0418%23 Sept →
anubis7–130.0327%23 Sept →
mirage13–8-0.0014%23 Sept →
vertigo13–30.0528%23 Sept →
nuke5–13-0.0527%23 Sept →
mirage5–130.0215%23 Sept →
inferno8–130.0927%23 Sept →
ancient9–10.0250%23 Sept →
dust212–120.1036%22 Sept →
nuke13–80.0421%22 Sept →
mirage13–60.1248%22 Sept →
ancient16–140.0824%22 Sept →
anubis11–130.0340%21 Sept →
dust212–12-0.0215%21 Sept →
vertigo12–12-0.0241%20 Sept →
office13–80.0332%20 Sept →
office13–5-0.0112%20 Sept →
office13–60.0628%20 Sept →
mirage13–5-0.0210%20 Sept →
mirage0–30.02100%20 Sept →
cache2–130.0225%20 Sept →
inferno13–100.1027%20 Sept →
anubis13–50.0422%20 Sept →
nuke13–20.0836%19 Sept →
mirage13–20.1426%19 Sept →
mirage6–130.0332%19 Sept →
nuke4–13-0.0617%19 Sept →
mirage4–130.0229%19 Sept →
dust211–13-0.0023%19 Sept →
inferno13–30.0732%19 Sept →
mirage16–12-0.0421%18 Sept →
cache13–60.0948%17 Sept →
ancient9–13-0.0228%17 Sept →
office13–60.0640%16 Sept →
office3–10.0160%16 Sept →
office13–40.0336%16 Sept →
mirage8–13-0.0420%16 Sept →
ancient12–120.0024%16 Sept →
inferno13–8-0.0141%15 Sept →
office13–5-0.0136%15 Sept →
ancient8–13-0.0513%15 Sept →
mirage2–13-0.0650%15 Sept →
cache2–00.18100%15 Sept →
inferno13–80.0035%14 Sept →
mirage13–80.0036%14 Sept →
nuke13–50.0447%14 Sept →
inferno1–70.0230%12 Sept →
mirage13–100.0931%12 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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