cocoamaru — CS2 Stats

76561198876320496[U:1:916054768]

2,528Tracked matches52%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 2,528
0.0ppWin rate · 51.7% → 51.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 48 days played since 13 May 2026. Come back after the next session and the change shows above.

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Rating over time

48Days played since 2026-05-13

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim74
Positioning43
Utility41

0–100 skill scores via Leetify.

Recent form

HOT414910Last 10041%Win rateWLWWWWWLLW

Last 10 vs previous 10: +50pp win rate · +0.00 avg rating · +3.5pp headshot accuracy · −58ms reaction

Win rate up 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

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 489ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 512ms

Last 20

  • 9101 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

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: Positional PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim7.4
Utility4.1
Positioning4.3
Opening Duels1.2
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.

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.4
Positioning4.3
Utility4.1
Mechanics6.5
Opening Duels0.4
Win Impact5.6

Composite 5.3/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time539ms−80ms
first ⅓ avg 619ms → last ⅓ avg 539ms
Headshot accuracy19.3%+0.4%
first ⅓ avg 18.8% → last ⅓ avg 19.3%

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

0.12Best match rating · 13–8 · inferno, 14 May
38%Best headshot accuracy · 6–13 · cache, 11 Aug
391msFastest reaction time · 11–0 · anubis, 11 Aug
13–1Biggest win · cache, 5 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
59In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 57% over 21cacheWeakest map · 35% over 37
MapGradePlayedRecordWin rateAvg rating
cacheC37132435%-0.03
infernoA2112957%-0.02
dust2C1771041%-0.02
anubisB137654%-0.01
ancient4040%-0.06
nuke31233%-0.03
vertigo2020%-0.06
overpass21150%0.06
train1010%0.02

Across the last 100 tracked matches.

Faceit stats

Combat

701Matches
52%Win rate
0.97Avg K/D
73.9ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis4753%0.9615.4
Inferno4556%1.2215.2
Dust23358%0.9815.0
Ancient1346%0.9014.5
Mirage933%0.8613.2
Overpass862%1.1916.1
Nuke757%0.7812.1
Cache475%1.1118.8

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.

19.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.6%Spray accuracy
79.4%Counter-strafing
9.9°Preaim
532msReaction time
22.9%T opening success
33.1%CT opening success
0.50Enemies flashed / flash
2.6%Flash assists
6.95HE damage / grenade
5.84Flashes / 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 22.9418% — below the 40% mark we flag

Spend your practice time on Cache

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

35% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache13–90.0626%16 Sept
ancient9–13-0.0919%7 Sept
nuke13–10-0.0423%7 Sept
dust219–16-0.039%24 Aug
anubis13–70.0528%24 Aug
dust213–8-0.0222%24 Aug
cache13–10-0.0828%23 Aug
anubis11–13-0.0410%23 Aug
inferno9–130.0019%23 Aug
inferno13–8-0.0418%21 Aug
anubis9–13-0.0225%20 Aug
cache4–13-0.0711%20 Aug
cache7–13-0.0224%19 Aug
anubis25–28-0.0313%16 Aug
inferno14–16-0.0215%16 Aug
anubis13–3-0.0315%15 Aug
cache9–13-0.0310%14 Aug
cache9–130.0217%13 Aug
ancient12–12-0.0317%13 Aug
cache13–11-0.0320%12 Aug
inferno8–13-0.0120%12 Aug
cache6–13-0.0638%11 Aug
inferno13–40.0416%11 Aug
anubis11–00.1116%11 Aug
cache13–3-0.0521%11 Aug
inferno13–3-0.0421%11 Aug
vertigo7–13-0.0918%11 Aug
inferno13–11-0.0521%10 Aug
inferno10–13-0.0821%9 Aug
inferno13–10-0.0226%9 Aug
cache13–8-0.0524%9 Aug
anubis6–130.0310%31 Jul
inferno13–8-0.0417%29 Jul
anubis13–8-0.0115%29 Jul
cache4–13-0.0923%29 Jul
cache13–11-0.0223%27 Jul
cache8–13-0.0220%27 Jul
anubis13–11-0.0716%27 Jul
inferno3–13-0.0618%27 Jul
dust25–13-0.0321%21 Jul
dust211–130.0220%21 Jul
dust26–13-0.0321%21 Jul
inferno13–7-0.028%19 Jul
cache6–2-0.080%19 Jul
inferno13–100.0227%19 Jul
vertigo12–12-0.0313%18 Jul
anubis13–70.0221%18 Jul
nuke12–12-0.0115%18 Jul
nuke9–13-0.0514%17 Jul
ancient12–12-0.077%17 Jul
cache0–10-0.0725%12 Jul
dust24–13-0.0427%12 Jul
dust23–7-0.0322%11 Jul
inferno7–13-0.0829%5 Jul
dust28–13-0.0425%5 Jul
cache13–10.0917%5 Jul
cache10–13-0.0215%2 Jul
cache13–10-0.0114%29 Jun
inferno5–13-0.0523%29 Jun
cache12–120.0519%28 Jun
anubis5–13-0.0423%20 Jun
dust213–20.1122%20 Jun
cache0–4-0.0313%18 Jun
dust213–11-0.1015%17 Jun
cache13–10-0.0023%17 Jun
cache13–9-0.0311%15 Jun
inferno13–7-0.0218%15 Jun
dust213–10.0225%14 Jun
inferno13–9-0.0324%14 Jun
ancient11–13-0.049%10 Jun
anubis11–13-0.0830%10 Jun
dust26–13-0.0526%8 Jun
inferno8–130.0317%7 Jun
dust213–7-0.0622%7 Jun
train10–130.0229%6 Jun
cache2–13-0.1118%6 Jun
dust211–13-0.0328%5 Jun
cache9–130.0115%5 Jun
inferno13–8-0.0515%1 Jun
dust213–90.0118%1 Jun
dust24–13-0.0617%31 May
cache4–13-0.0421%31 May
cache5–13-0.048%29 May
dust27–13-0.0423%29 May
cache12–12-0.0316%27 May
cache11–13-0.0811%24 May
cache13–9-0.0213%24 May
cache12–12-0.0514%24 May
cache13–60.0219%24 May
inferno5–13-0.0414%23 May
cache11–13-0.0520%16 May
cache7–13-0.0717%16 May
cache12–12-0.0719%16 May
cache12–120.0131%15 May
overpass13–70.0714%14 May
cache1–13-0.0919%14 May
anubis13–60.0124%14 May
overpass11–130.0419%14 May
inferno13–80.1220%14 May
cache12–12-0.066%13 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 →