Coockie

Coockie — CS2 Stats

76561197968756801[U:1:8491073]Steam profile ↗✓ No bans

1,315Tracked matches28%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating24,576Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#27816 of 261612 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

−309Premier CS Rating · 24,885 → 24,576

Rating over time

Premier CS Rating: 24,576 +5,929 14 May – 14 Nov · 32 days played
18,52526,123peak 26,12314 May14 Nov
26,158Peak Premier in tracked matches
39Days played since 2026-05-14

Premier CS Rating

  • 1,547 below peak (26,123)
  • -424 over 30 days · declining
  • -58 over 90 days
  • Next: Red band at 25,000 — 424 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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

Share this profile

CSDB.GGCoockiePREMIER24,576 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning49
Utility61

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLLLTWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −5.3pp headshot accuracy · −11ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 599ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 587ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 592ms

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: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim5.4
Utility6.1
Positioning4.9
Opening Duels1.8
Clutch0.0

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

Twistzz

Plays most like Twistzz 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. 578ms 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

Aim5.4
Positioning4.9
Utility6.1
Mechanics4.5
Opening Duels2.5
Win Impact0.0

Composite 4.5/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time576ms−41ms
first ⅓ avg 617ms → last ⅓ avg 576ms
Headshot accuracy12.6%−1.4%
first ⅓ avg 14.1% → last ⅓ avg 12.6%

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

0.11Best match rating · 13–6 · anubis, 15 Jul →
36%Best headshot accuracy · 2–13 · dust2, 9 Jul →
391msFastest reaction time · 2–13 · inferno, 19 Sept →
13–0Biggest win · ancient, 22 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 100% over 6infernoWeakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
nukeB2110–1148%0.01
infernoD205–1525%0.00
mirageD144–1029%-0.00
ancientC135–838%-0.01
dust2B137–654%0.02
cacheA116–555%-0.01
anubisS66–0100%0.01
overpass—21–150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
100%Win rate
0.90Avg K/D
77.0ADR
47%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

12.8%Headshot accuracy
33.6%Accuracy (enemy spotted)
38.5%Spray accuracy
70.3%Counter-strafing
10.3°Preaim
578msReaction time
37.8%T opening success
42.5%CT opening success
0.59Enemies flashed / flash
3.0%Flash assists
8.47HE damage / grenade
9.41Flashes / 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 12.8365% — 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 37.774% — below the 40% mark we flag

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 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–130.015%14 Nov →
ancient5–13-0.157%14 Nov →
inferno4–130.088%1 Nov →
mirage15–150.0614%1 Nov →
ancient13–11-0.0610%29 Oct →
nuke5–130.0121%29 Oct →
ancient13–80.019%21 Oct →
inferno13–16-0.0014%21 Oct →
inferno9–13-0.023%18 Oct →
dust29–13-0.0312%18 Oct →
mirage3–13-0.0420%7 Oct →
nuke7–130.0717%7 Oct →
ancient4–13-0.0724%1 Oct →
cache13–80.025%1 Oct →
inferno5–130.0211%27 Sept →
mirage0–13-0.033%27 Sept →
ancient13–0-0.0126%22 Sept →
nuke13–110.0419%22 Sept →
nuke13–70.046%19 Sept →
inferno2–13-0.0625%19 Sept →
cache3–13-0.0410%15 Sept →
anubis13–9-0.0213%15 Sept →
cache7–13-0.0113%12 Sept →
nuke4–13-0.0110%12 Sept →
dust25–130.0018%12 Sept →
nuke8–13-0.0120%10 Sept →
mirage9–13-0.037%10 Sept →
ancient8–130.0813%6 Sept →
cache7–13-0.0014%6 Sept →
nuke13–80.0614%6 Sept →
nuke13–80.0116%3 Sept →
ancient6–13-0.036%29 Aug →
anubis13–70.025%29 Aug →
nuke5–130.0315%29 Aug →
inferno5–13-0.088%29 Aug →
dust213–90.0212%27 Aug →
ancient14–160.058%27 Aug →
inferno13–40.027%27 Aug →
ancient13–110.0517%19 Aug →
dust24–130.0124%19 Aug →
cache13–11-0.0113%19 Aug →
nuke13–20.0119%19 Aug →
mirage2–13-0.0532%15 Aug →
dust213–100.0817%15 Aug →
nuke15–15-0.0313%15 Aug →
mirage7–13-0.048%13 Aug →
nuke7–130.0115%13 Aug →
cache13–9-0.0316%13 Aug →
ancient13–40.027%9 Aug →
anubis13–10-0.038%9 Aug →
nuke3–13-0.0510%9 Aug →
inferno8–130.0222%9 Aug →
nuke9–13-0.0111%6 Aug →
inferno13–100.1118%6 Aug →
dust213–20.0911%6 Aug →
ancient9–130.0310%1 Aug →
cache13–60.0920%1 Aug →
inferno2–13-0.0913%1 Aug →
dust215–150.0115%1 Aug →
anubis13–80.0110%26 Jul →
inferno8–13-0.0725%26 Jul →
cache2–13-0.0613%26 Jul →
dust213–60.0618%23 Jul →
inferno13–60.0113%23 Jul →
anubis16–13-0.0617%23 Jul →
inferno8–130.0013%21 Jul →
mirage10–130.0318%21 Jul →
inferno13–9-0.018%16 Jul →
cache2–13-0.1017%16 Jul →
nuke13–100.0217%16 Jul →
dust214–16-0.0216%15 Jul →
anubis13–60.1115%15 Jul →
nuke10–13-0.053%14 Jul →
inferno11–13-0.0312%14 Jul →
mirage16–14-0.059%11 Jul →
cache13–60.038%11 Jul →
inferno13–100.049%11 Jul →
dust22–13-0.0936%9 Jul →
mirage13–60.054%2 Jul →
overpass9–13-0.0212%2 Jul →
mirage16–130.0511%1 Jul →
dust213–11-0.0211%1 Jul →
nuke13–1-0.0013%1 Jul →
overpass13–5-0.024%23 Jun →
nuke13–80.0513%23 Jun →
mirage6–130.0213%19 Jun →
inferno10–130.0622%19 Jun →
cache13–11-0.0219%19 Jun →
mirage9–13-0.0121%5 Jun →
dust213–70.0414%5 Jun →
nuke13–60.0814%5 Jun →
inferno10–130.0810%29 May →
ancient4–13-0.0516%29 May →
nuke7–130.059%29 May →
inferno8–13-0.0020%29 May →
dust213–100.0519%29 May →
nuke13–60.0121%19 May →
mirage13–8-0.0118%19 May →
inferno4–13-0.0210%14 May →
ancient10–13-0.0320%14 May →

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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