Scrappy COCO (ง ͠° ͟ل͜ ͡

Scrappy COCO (ง ͠° ͟ل͜ ͡ — CS2 Stats

76561199212779188[U:1:1252513460]Steam profile ↗✓ No bans

467Tracked matches48%Win rate2023Tracked since
339Hours in CS
CSDB Rating3.7 LearningAll-Rounder
Premier CS Rating12,692Blue band · top ~40.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (67 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 12,692 → 12,692
+1Tracked matches · now 467
0.0ppWin rate · 48.1% → 48.1%

Rating over time

Premier CS Rating: 12,692 +1,096 8 Jan – 9 Sept · 25 days played
11,59613,037peak 13,0378 Jan9 Sept
13,429Peak Premier in tracked matches
48Days played since 2025-12-31

Premier CS Rating

  • 345 below peak (13,037)
  • Next: Purple band at 15,000 — 2,308 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,911), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate45.8%42.7%43.8%above
Shot accuracy8.5%11.2%12.0%3.5% short
Kill/death ratio1.010.991.02meets
Match win rate45.8%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGScrappy COCO (ง ͠° ͟ل͜ ͡FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,692 · Blue 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

Aim32
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateLLLLLTTWLW

Last 10 vs previous 10: −50pp win rate · −0.06 avg rating · +0.0pp headshot accuracy · +37ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 10%
  • Avg reaction 642ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 627ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 609ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim3.2
Utility5.6
Positioning5.3
Opening Duels3.9
Clutch4.8

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 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim3.2
Positioning5.3
Utility5.6
Mechanics2.3
Opening Duels2.9
Win Impact4.4

Composite 3.7/10 (Learning), 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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time592ms−27ms
first ⅓ avg 619ms → last ⅓ avg 592ms
Headshot accuracy14.5%−0.9%
first ⅓ avg 15.4% → last ⅓ avg 14.5%

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

0.39Best match rating · 9–1 · vertigo, 26 Jan →
38%Best headshot accuracy · 3–13 · nuke, 7 Mar →
375msFastest reaction time · 7–9 · inferno, 23 Jun →
12–0Biggest win · ancient, 6 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 69% over 13mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2112–957%-0.00
vertigoS139–469%0.02
nukeD134–931%-0.03
dust2C125–742%0.01
ancientA106–460%-0.01
poseidonB84–450%-0.00
mirageD72–529%-0.03
anubisB63–350%0.00
overpass—31–233%0.02
office—31–233%-0.02
rooftop—32–167%0.07
cache—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,335Lifetime kills
1.01K/D · Top 50% of Level 4 players
1,484Matches
45.8%Match win rate · Top 50% of Level 4 players
45.8%Headshot % · Top 50% of Level 4 players
8.5%Shot accuracy
3,374MVPs
339Hours (in match)
1,671Bombs planted
245Bombs defused

Most-used weapons

Lifetime map wins

1,876inferno
1,180nuke
1,110vertigo
849train
710dust2
622office
488cbble
100lake

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

Faceit stats

Combat

20Matches
50%Win rate
1.11Avg K/D
79.6ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage757%1.0915.1
Ancient425%0.9817.8
Dust2367%1.0816.0
Anubis20%0.9915.5
Inferno2100%1.3015.5
Train10%1.0018.0
Vertigo1100%1.8018.0

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.

14.6%Headshot accuracy
30.1%Accuracy (enemy spotted)
33.4%Spray accuracy
60.6%Counter-strafing
11.5°Preaim
622msReaction time
36.7%T opening success
46.7%CT opening success
0.60Enemies flashed / flash
4.0%Flash assists
8.71HE damage / grenade
11.31Flashes / 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 14.6089% — 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 36.691% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–9-0.096%23 Jun →
vertigo7–90.0117%18 May →
cache4–13-0.0613%2 May →
dust210–13-0.0111%14 Apr →
vertigo0–9-0.275%14 Apr →
ancient15–15-0.048%12 Apr →
nuke15–15-0.0310%10 Apr →
anubis13–60.0415%10 Apr →
ancient9–13-0.0317%9 Apr →
anubis13–20.0217%9 Apr →
inferno13–80.0512%9 Apr →
inferno9–30.0111%5 Apr →
nuke13–100.088%4 Apr →
poseidon6–9-0.136%29 Mar →
inferno13–20.0821%27 Mar →
vertigo9–30.0815%25 Mar →
nuke8–8-0.1210%25 Mar →
vertigo9–40.1214%24 Mar →
inferno9–5-0.0110%24 Mar →
dust210–130.0212%20 Mar →
inferno7–90.0131%17 Mar →
inferno9–7-0.029%16 Mar →
poseidon9–60.1324%15 Mar →
poseidon9–60.0212%15 Mar →
overpass13–50.0614%13 Mar →
mirage13–80.0013%13 Mar →
nuke3–9-0.1719%13 Mar →
nuke3–13-0.0438%7 Mar →
inferno13–40.0916%7 Mar →
overpass11–13-0.0116%7 Mar →
anubis13–110.0218%7 Mar →
inferno13–10-0.0019%4 Mar →
inferno3–130.0413%27 Feb →
poseidon9–70.0219%27 Feb →
dust23–13-0.0227%24 Feb →
vertigo9–10.0516%24 Feb →
anubis15–15-0.036%23 Feb →
inferno8–13-0.0521%22 Feb →
dust213–50.0317%22 Feb →
office6–13-0.067%22 Feb →
office5–13-0.0223%22 Feb →
office13–40.0119%19 Feb →
nuke13–90.029%19 Feb →
vertigo9–6-0.0413%19 Feb →
nuke8–13-0.0110%19 Feb →
dust212–16-0.0120%17 Feb →
poseidon6–9-0.0211%17 Feb →
inferno8–80.0217%17 Feb →
nuke5–13-0.066%15 Feb →
nuke13–11-0.0416%15 Feb →
ancient13–8-0.019%15 Feb →
anubis13–16-0.0211%12 Feb →
mirage10–130.0113%12 Feb →
ancient11–13-0.0111%12 Feb →
inferno9–40.0124%12 Feb →
vertigo5–9-0.094%9 Feb →
inferno3–9-0.1221%9 Feb →
dust26–13-0.0018%9 Feb →
dust213–80.0524%9 Feb →
nuke11–130.0216%7 Feb →
poseidon6–90.0319%6 Feb →
mirage5–13-0.0611%6 Feb →
ancient12–00.0521%6 Feb →
mirage13–5-0.0328%6 Feb →
ancient13–40.0310%6 Feb →
vertigo9–50.0115%6 Feb →
poseidon6–90.0214%4 Feb →
inferno13–16-0.055%3 Feb →
nuke3–9-0.2014%2 Feb →
vertigo9–20.0914%2 Feb →
dust29–13-0.026%29 Jan →
mirage6–13-0.0513%29 Jan →
ancient10–13-0.0313%28 Jan →
vertigo9–10.3918%26 Jan →
ancient13–3-0.0230%25 Jan →
dust213–70.0413%25 Jan →
inferno13–9-0.0015%25 Jan →
dust216–12-0.0116%25 Jan →
nuke7–13-0.0015%25 Jan →
ancient13–7-0.0118%24 Jan →
anubis8–13-0.0318%24 Jan →
inferno13–10-0.019%24 Jan →
mirage5–13-0.0612%24 Jan →
inferno6–13-0.0510%22 Jan →
poseidon9–6-0.060%22 Jan →
dust29–130.0211%22 Jan →
inferno13–20.099%22 Jan →
nuke9–60.1124%21 Jan →
vertigo9–50.0423%21 Jan →
vertigo5–9-0.1416%20 Jan →
rooftop9–70.0924%19 Jan →
inferno9–50.0219%19 Jan →
rooftop9–50.0736%19 Jan →
inferno9–13-0.0619%18 Jan →
overpass5–90.0114%13 Jan →
mirage6–13-0.0212%11 Jan →
dust213–4-0.0216%11 Jan →
vertigo9–50.0425%11 Jan →
ancient13–5-0.0516%8 Jan →
rooftop8–80.057%31 Dec →

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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