COCOLOCO TRATRA

COCOLOCO TRATRA — CS2 Stats

ES76561197986981396[U:1:26715668]Steam profile ↗

669Tracked matches79%Win rate2021Tracked since
2,754Hours in CS62Hrs last 2 wks
CSDB Rating5.1 Developing
Premier CS Rating15,516Purple band · top ~26.3% of ranked players (population est.)
CSDB Leaderboard#12870 of 20637 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 medianvs Pink band
Headshot rate34.3%48.1%13.8% short
Shot accuracy11.2%12.9%1.7% short
Kill/death ratio1.281.08above
Match win rate44.7%46.5%1.8% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGCOCOLOCO TRATRAPREMIER15,516 · Purple bandcsdb.gg/stats

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Performance scores

Aim44
Positioning45
Utility66

0–100 skill scores via Leetify.

Recent form

HOT59383Last 10059%Win rateWWWWLWWLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim4.4
Aggression5.8
Utility6.6
Positioning4.5
Opening Duels1.4
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 48% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.4
Positioning4.5
Utility6.6
Mechanics4.2
Opening Duels2.3
Win Impact10.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time632ms−21ms
first ⅓ avg 653ms → last ⅓ avg 632ms
Headshot accuracy15.7%−1.4%
first ⅓ avg 17.1% → last ⅓ avg 15.7%

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.

Highlights

0.16Best rating — ancient 13–0
130Biggest win — ancient
5Longest win streak
W4Current streak
73In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 79% over 14ancientWeakest map · 47% over 19
MapGradePlayedRecordWin rateAvg rating
ancientB1991047%0.01
infernoS1712571%0.01
nukeB147750%-0.01
mirageS1411379%-0.01
dust2S128467%0.01
anubisA116555%-0.01
cacheA116555%-0.01
overpass2020%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,111Lifetime kills
1.28K/D · Top 25% of tracked players
8,110Matches
44.7%Match win rate
34.3%Headshot %
11.2%Shot accuracy
8,075MVPs
1,797Hours (in match)
3,848Bombs planted
824Bombs defused

Most-used weapons

AK-4716,978
SSG 0814,818
AWP10,033
Tec-95,292
MP73,832

Lifetime map wins

11,512dust2
4,099inferno
2,964nuke
2,285vertigo
1,363lake
1,051ar_shoots
972safehouse
925train

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

40Matches
52%Win rate
0.92Avg K/D
73.6ADR
51%Headshot %

Clutches & streaks

38%1v1 clutch win
38%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%0.8011.7
Dust2838%0.9313.9
Inferno729%0.7712.1
Cache475%0.9212.8
Anubis425%0.7111.5
Nuke475%1.2014.0
Ancient3100%1.6220.0
Train10%0.5910.0

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.

16.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
34.4%Spray accuracy
68.8%Counter-strafing
12.1°Preaim
625msReaction time
22.9%T opening success
48.4%CT opening success
0.57Enemies flashed / flash
8.6%Flash assists
8.16HE damage / grenade
12.40Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0996° — above the 12° mark we flag

    Aim Training
Spend your practice time on Ancient

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

47% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–140.0114%28 Aug
inferno13–6-0.0115%28 Aug
anubis13–50.0019%27 Aug
inferno13–7-0.059%27 Aug
nuke5–13-0.0311%27 Aug
nuke13–100.0414%26 Aug
mirage13–10-0.0115%26 Aug
inferno7–130.0524%26 Aug
nuke13–3-0.0610%25 Aug
cache13–90.0215%25 Aug
mirage13–10-0.0514%25 Aug
mirage16–120.0218%25 Aug
cache13–90.0625%25 Aug
inferno11–130.0314%24 Aug
inferno13–50.0625%24 Aug
ancient13–00.1612%24 Aug
dust211–4-0.029%24 Aug
inferno13–8-0.0424%24 Aug
ancient13–90.0013%24 Aug
cache5–130.0026%23 Aug
mirage13–70.0115%23 Aug
nuke13–10-0.0519%23 Aug
anubis15–150.0116%23 Aug
mirage13–2-0.0215%23 Aug
nuke13–6-0.0414%23 Aug
cache8–13-0.048%22 Aug
ancient13–80.0116%22 Aug
inferno13–110.0616%22 Aug
mirage7–13-0.0418%22 Aug
nuke13–80.0018%22 Aug
ancient13–70.0323%22 Aug
ancient11–13-0.036%21 Aug
cache13–00.0812%21 Aug
ancient8–13-0.0328%21 Aug
inferno13–90.0719%21 Aug
ancient11–130.028%21 Aug
inferno1–13-0.0825%21 Aug
dust21–13-0.0319%21 Aug
inferno7–130.0028%20 Aug
ancient8–13-0.0120%19 Aug
cache8–13-0.0224%18 Aug
nuke13–10-0.0424%16 Aug
dust213–80.0213%16 Aug
ancient7–13-0.0214%16 Aug
dust213–80.0726%16 Aug
nuke7–130.0321%15 Aug
ancient15–150.0014%15 Aug
ancient13–50.0118%15 Aug
dust213–7-0.0014%2 Aug
anubis13–40.0412%26 Jul
anubis13–100.0321%25 Jul
cache6–13-0.0417%25 Jul
dust25–13-0.0220%22 Jul
mirage13–60.0117%22 Jul
ancient16–14-0.0111%21 Jul
inferno13–8-0.029%20 Jul
anubis8–13-0.0719%20 Jul
ancient13–90.0314%20 Jul
mirage10–13-0.0413%20 Jul
inferno13–90.0012%19 Jul
anubis13–110.0314%19 Jul
inferno13–30.0311%19 Jul
ancient13–90.0313%19 Jul
mirage0–13-0.069%18 Jul
mirage13–90.0410%18 Jul
nuke13–80.1419%18 Jul
ancient13–16-0.0222%17 Jul
dust213–8-0.0611%17 Jul
anubis7–13-0.0920%17 Jul
nuke13–16-0.0120%16 Jul
mirage16–14-0.0111%16 Jul
dust216–130.0810%14 Jul
ancient13–11-0.0021%14 Jul
cache7–13-0.1117%14 Jul
cache13–4-0.017%14 Jul
anubis5–13-0.0217%13 Jul
cache13–60.0016%13 Jul
mirage13–70.059%12 Jul
dust213–40.0524%12 Jul
mirage16–12-0.0513%12 Jul
dust210–130.035%11 Jul
anubis13–8-0.0231%11 Jul
ancient13–160.0423%11 Jul
ancient12–16-0.0614%11 Jul
inferno8–13-0.0226%10 Jul
nuke4–13-0.0635%10 Jul
nuke7–130.0424%8 Jul
overpass4–13-0.039%8 Jul
cache13–7-0.047%8 Jul
inferno13–80.068%6 Jul
overpass15–15-0.0116%6 Jul
nuke2–13-0.0213%28 Jun
anubis10–13-0.0619%21 Jun
anubis13–70.0124%21 Jun
inferno13–3-0.0319%21 Jun
dust25–13-0.0228%20 Jun
mirage16–140.0025%20 Jun
ancient8–13-0.0317%20 Jun
nuke2–13-0.1117%20 Jun
inferno13–40.0410%20 Jun

Match data via Leetify.

Milestones

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