Cocky

Cocky — CS2 Stats

76561198105501337[U:1:145235609]Steam profile ↗✓ No bans

740Tracked matches34%Win rate2021Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating5,520Light Blue band · top ~76.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (14 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: 5,520 +102 16 Apr – 17 Sept · 25 days played
4,6229,674peak 9,67416 Apr17 Sept
9,999Peak Premier in tracked matches
35Days played since 2026-04-16

Premier CS Rating

  • 4,154 below peak (9,674)
  • -463 over 30 days · declining
  • Next: Blue band at 10,000 — 4,480 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGCockyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,520 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning37
Utility49

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLWLWLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.7pp headshot accuracy · +61ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 658ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 656ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 625ms

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 (+2.3 against its own average).

Aim4.1
Utility4.9
Positioning3.7
Opening Duels2.0
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

jL

Plays most like jL 79% 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

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning3.7
Utility4.9
Mechanics2.8
Opening Duels1.7
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+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time635ms−6ms
first ⅓ avg 642ms → last ⅓ avg 635ms
Headshot accuracy17.9%+2.5%
first ⅓ avg 15.5% → last ⅓ avg 17.9%

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 · 13–2 · dust2, 21 Aug →
40%Best headshot accuracy · 2–13 · dust2, 7 May →
469msFastest reaction time · 6–13 · dust2, 17 Sept →
13–2Biggest win · dust2, 21 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 50% over 24anubisWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B3617–1947%-0.02
nukeB2412–1250%-0.03
ancientC198–1142%-0.01
anubisC145–936%-0.03
cache—31–233%-0.04
mirage—21–150%-0.03
inferno—11–0100%-0.01
overpass—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
25%Win rate
0.42Avg K/D
52.7ADR
53%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%0.5213.0
Dust210%0.399.0

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.

17.3%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.8%Spray accuracy
62.8%Counter-strafing
10.1°Preaim
640msReaction time
26.4%T opening success
43.5%CT opening success
0.65Enemies flashed / flash
6.5%Flash assists
6.34HE damage / grenade
6.40Flashes / 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. 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 26.4307% — below the 40% mark we flag

Spend your practice time on Anubis

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.078%17 Sept →
anubis5–2-0.0225%17 Sept →
dust211–13-0.0619%2 Sept →
nuke13–10-0.0513%24 Aug →
dust211–13-0.0526%24 Aug →
cache5–13-0.0512%24 Aug →
nuke9–13-0.0714%23 Aug →
nuke10–13-0.0811%21 Aug →
dust213–20.1121%21 Aug →
cache9–13-0.0316%21 Aug →
ancient13–80.036%21 Aug →
dust27–13-0.0313%20 Aug →
ancient13–40.0121%20 Aug →
ancient6–130.0024%16 Aug →
anubis13–4-0.0333%16 Aug →
dust213–11-0.0317%16 Aug →
ancient8–13-0.0417%16 Aug →
anubis9–13-0.0711%13 Aug →
nuke8–13-0.0519%13 Aug →
dust213–10-0.0223%13 Aug →
ancient11–130.0416%10 Aug →
dust29–13-0.0517%10 Aug →
dust213–16-0.0312%8 Aug →
nuke13–90.0427%8 Aug →
dust213–16-0.0215%5 Aug →
ancient8–13-0.037%5 Aug →
dust23–13-0.0523%4 Aug →
nuke4–13-0.0528%4 Aug →
dust215–15-0.0322%3 Aug →
dust213–4-0.0318%3 Aug →
ancient2–13-0.0915%17 Jul →
dust213–60.0626%17 Jul →
cache13–4-0.0418%17 Jul →
nuke13–20.016%17 Jul →
dust213–8-0.0222%17 Jul →
dust213–80.0115%16 Jul →
ancient16–14-0.0127%16 Jul →
dust210–13-0.0314%13 Jul →
anubis6–13-0.0118%13 Jul →
nuke13–90.019%13 Jul →
dust24–13-0.1111%13 Jul →
anubis7–13-0.0317%13 Jul →
ancient11–130.0414%2 Jul →
nuke7–13-0.0817%2 Jul →
dust29–13-0.0111%2 Jul →
nuke11–13-0.067%23 May →
nuke13–110.0311%23 May →
dust213–11-0.0210%23 May →
mirage7–13-0.0717%23 May →
ancient8–130.0410%22 May →
nuke9–130.0216%22 May →
dust22–13-0.0717%22 May →
anubis9–130.0117%21 May →
ancient9–13-0.0715%21 May →
mirage13–100.0222%21 May →
ancient13–11-0.036%19 May →
dust213–70.0121%19 May →
ancient3–13-0.067%18 May →
nuke13–70.0212%18 May →
inferno13–10-0.018%18 May →
ancient13–5-0.029%18 May →
anubis13–100.0111%18 May →
dust213–30.0421%18 May →
ancient16–14-0.0123%17 May →
nuke13–5-0.067%17 May →
dust23–13-0.0633%17 May →
dust213–90.0618%17 May →
anubis16–12-0.0013%17 May →
dust213–80.0324%11 May →
anubis6–13-0.0416%10 May →
dust216–13-0.0031%7 May →
nuke6–1-0.0226%7 May →
dust22–13-0.0340%7 May →
nuke13–9-0.0517%5 May →
dust213–4-0.0620%5 May →
anubis11–13-0.059%5 May →
ancient9–13-0.0824%4 May →
nuke6–13-0.0711%4 May →
nuke0–13-0.016%4 May →
anubis8–13-0.093%29 Apr →
nuke13–60.018%29 Apr →
dust22–13-0.0514%29 Apr →
anubis11–13-0.0520%26 Apr →
anubis13–3-0.013%26 Apr →
ancient13–50.0112%26 Apr →
dust213–50.0317%24 Apr →
overpass2–13-0.0318%23 Apr →
dust213–100.0217%23 Apr →
ancient13–50.0213%23 Apr →
nuke13–11-0.044%23 Apr →
dust213–16-0.0910%22 Apr →
dust215–15-0.0517%22 Apr →
ancient8–13-0.0221%22 Apr →
nuke11–130.009%22 Apr →
nuke9–13-0.0510%19 Apr →
dust28–130.038%19 Apr →
nuke13–110.0113%16 Apr →
dust213–8-0.0321%16 Apr →
anubis8–13-0.0615%16 Apr →
nuke8–13-0.0421%16 Apr →

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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