♿️ CocaBienFraiChakaL ♿

♿️ CocaBienFraiChakaL ♿ — CS2 Stats

FR76561198417757516[U:1:457491788]Steam profile ↗✓ No bans

467Tracked matches50%Win rate2025Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating12,617Blue band · top ~41% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 12,617 -1,968 31 Mar – 14 Nov · 52 days played
11,38716,441peak 16,44131 Mar14 Nov
16,441Peak Premier in tracked matches
66Days played since 2026-03-31

Premier CS Rating

  • 3,824 below peak (16,441)
  • -72 over 30 days · steady
  • Next: Purple band at 15,000 — 2,383 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-11-14
  • Light Blue band first seen 2026-11-14

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

Share this profile

CSDB.GG♿️ CocaBienFraiChakaL ♿PREMIER12,617 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning61
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLLLWLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.6pp headshot accuracy · +47ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 617ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 594ms

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 (+1.1 against its own average).

Aim4.9
Utility6.2
Positioning6.1
Opening Duels3.0

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 67% 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. 588ms 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

Aim4.9
Positioning6.1
Utility6.2
Mechanics4.7
Opening Duels4.7
Win Impact5.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time581ms−11ms
first ⅓ avg 593ms → last ⅓ avg 581ms
Headshot accuracy9.5%−1.3%
first ⅓ avg 10.7% → last ⅓ avg 9.5%

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

0.13Best match rating · 9–1 · mirage, 14 Jul →
26%Best headshot accuracy · 7–13 · anubis, 6 Jul →
422msFastest reaction time · 7–13 · mirage, 14 Aug →
13–1Biggest win · ancient, 1 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
6–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%-0.01
infernoC229–1341%-0.00
mirageB2110–1148%0.00
anubisA127–558%-0.02
nukeB105–550%-0.01
ancientA85–363%0.01
cache—21–150%0.01
overpass—21–150%-0.09
sanctum—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.9%Spray accuracy
71.3%Counter-strafing
10.3°Preaim
588msReaction time
53.7%T opening success
43.6%CT opening success
0.61Enemies flashed / flash
7.0%Flash assists
11.92HE damage / grenade
7.24Flashes / 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 10.0274% — below the 15% mark we flag

    Aim Training →
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.

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0413%13 Nov →
nuke11–13-0.0515%12 Nov →
dust213–16-0.0317%12 Nov →
dust213–80.0112%10 Nov →
anubis4–13-0.117%8 Nov →
dust213–4-0.053%8 Nov →
inferno13–6-0.0116%8 Nov →
inferno6–13-0.0313%7 Nov →
nuke6–13-0.018%6 Nov →
dust213–110.0711%6 Nov →
ancient13–7-0.028%4 Nov →
mirage13–11-0.015%4 Nov →
dust213–5-0.028%3 Nov →
ancient8–13-0.059%1 Nov →
mirage16–130.0614%1 Nov →
ancient13–10.008%1 Nov →
anubis13–10-0.006%1 Nov →
inferno6–13-0.095%25 Oct →
nuke6–130.0311%20 Oct →
ancient6–13-0.014%18 Oct →
ancient13–40.046%16 Oct →
inferno13–100.014%15 Oct →
inferno11–13-0.0414%12 Oct →
inferno8–13-0.009%9 Oct →
mirage16–12-0.0517%9 Oct →
nuke9–13-0.032%8 Oct →
mirage8–130.0613%3 Oct →
dust213–11-0.0414%1 Oct →
dust212–16-0.039%1 Oct →
anubis13–80.0210%1 Oct →
mirage16–140.055%30 Sept →
ancient13–50.087%27 Sept →
anubis11–13-0.0111%26 Sept →
dust213–70.009%26 Sept →
dust213–8-0.0012%20 Sept →
anubis13–90.0510%19 Sept →
inferno13–80.0514%19 Sept →
nuke13–20.0311%13 Sept →
cache13–50.057%12 Sept →
inferno16–12-0.0813%5 Sept →
mirage5–130.046%3 Sept →
nuke13–7-0.025%28 Aug →
dust24–13-0.0324%28 Aug →
anubis9–13-0.059%14 Aug →
mirage7–13-0.077%14 Aug →
inferno4–13-0.026%9 Aug →
dust212–16-0.009%2 Aug →
dust24–13-0.085%14 Jul →
dust213–50.025%14 Jul →
mirage9–10.1325%14 Jul →
ancient15–150.076%13 Jul →
cache14–16-0.032%10 Jul →
mirage8–110.0120%10 Jul →
inferno3–13-0.0819%7 Jul →
nuke7–2-0.100%7 Jul →
mirage4–13-0.084%6 Jul →
anubis7–13-0.0726%6 Jul →
anubis13–9-0.0210%29 Jun →
nuke13–7-0.0511%29 Jun →
mirage11–13-0.0214%27 Jun →
mirage11–10.043%22 Jun →
dust28–13-0.063%21 Jun →
dust28–13-0.0114%20 Jun →
anubis13–90.027%19 Jun →
inferno13–100.1111%16 Jun →
mirage13–110.027%15 Jun →
anubis8–13-0.0613%15 Jun →
overpass4–9-0.1520%14 Jun →
inferno15–15-0.048%14 Jun →
dust213–6-0.0213%7 Jun →
nuke16–120.0216%5 Jun →
dust29–130.043%4 Jun →
nuke15–150.059%28 May →
inferno15–15-0.017%28 May →
inferno12–16-0.0518%27 May →
inferno16–140.0310%25 May →
inferno13–20.1320%21 May →
dust29–13-0.0811%21 May →
anubis13–100.015%15 May →
mirage11–130.0314%15 May →
overpass13–8-0.026%15 May →
dust213–6-0.045%15 May →
mirage13–100.018%14 May →
mirage13–30.017%1 May →
mirage9–13-0.018%1 May →
inferno11–13-0.0311%30 Apr →
sanctum7–9-0.0311%29 Apr →
dust27–130.0511%25 Apr →
inferno16–13-0.0114%25 Apr →
inferno13–10-0.038%25 Apr →
inferno7–130.0515%25 Apr →
mirage6–13-0.0619%20 Apr →
mirage13–6-0.0414%14 Apr →
mirage4–13-0.137%12 Apr →
mirage10–130.015%12 Apr →
anubis13–9-0.0110%11 Apr →
ancient13–10-0.064%2 Apr →
inferno8–13-0.0513%2 Apr →
inferno10–130.087%1 Apr →
dust213–100.0217%31 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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