Coolish

Coolish — CS2 Stats

SE76561198042459234[U:1:82193506]Steam profile ↗✓ No bans

1,137Tracked matches48%Win rate2022Tracked since
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating21,764Top 50% of 204,316 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#56986 of 251419 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 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: 21,764 +315 18 Apr – 10 Oct · 20 days played
21,44924,247peak 24,24718 Apr10 Oct
24,247Peak Premier in tracked matches
32Days played since 2026-04-18

Premier CS Rating

  • 2,483 below peak (24,247)
  • Next: Red band at 25,000 — 3,236 to go
  • Reached: Pink band · Purple band · Blue band · 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.GGCoolishPREMIER21,764 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning53
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLLLLWWWWTL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · −48ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 473ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 477ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 500ms

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.

Aim8.0
Utility5.3
Positioning5.3
Opening Duels3.5

Effective flashes

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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.0
Positioning5.3
Utility5.3
Mechanics5.8
Opening Duels3.9
Win Impact4.4

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time528ms−64ms
first ⅓ avg 592ms → last ⅓ avg 528ms
Headshot accuracy21.2%+0.3%
first ⅓ avg 20.9% → last ⅓ avg 21.2%

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

0.35Best match rating · 7–1 · overpass, 9 May →
39%Best headshot accuracy · 2–13 · cache, 16 May →
359msFastest reaction time · 6–13 · inferno, 10 Oct →
13–1Biggest win · inferno, 26 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 60% over 5dust2Weakest map · 36% over 25
MapGradePlayedRecordWin rateAvg rating
infernoC2611–1542%0.01
dust2C259–1636%0.01
mirageA2213–959%0.02
cacheC73–443%-0.01
nukeA53–260%0.03
anubis—40–40%-0.03
overpass—32–167%0.13
ancient—30–30%-0.04
office—20–20%-0.03
cache_b—21–150%0.04
alpine—10–10%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches
67%Win rate
2.11Avg K/D
—ADR
45%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.6710.0
Vertigo1100%1.9223.0
Inferno1100%0.9314.0
Nuke1100%0.7311.0

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.

21.2%Headshot accuracy
34.5%Accuracy (enemy spotted)
36.7%Spray accuracy
76.1%Counter-strafing
8.0°Preaim
523msReaction time
39.8%T opening success
51.1%CT opening success
0.72Enemies flashed / flash
3.7%Flash assists
15.19HE damage / grenade
6.07Flashes / 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 39.8195% — below the 40% mark we flag

Spend your practice time on Dust 2

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 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0214%10 Oct →
anubis5–13-0.0914%10 Oct →
inferno3–13-0.0226%10 Oct →
dust25–13-0.0714%9 Oct →
mirage13–7-0.0421%9 Oct →
cache13–110.0319%9 Oct →
mirage13–80.0929%26 Sept →
nuke13–80.0628%26 Sept →
mirage15–15-0.0314%26 Sept →
inferno6–13-0.0124%26 Sept →
dust23–13-0.0416%26 Sept →
dust211–13-0.0323%18 Sept →
mirage13–50.1131%4 Sept →
nuke13–100.0213%4 Sept →
inferno7–130.0113%4 Sept →
overpass7–130.0524%29 Aug →
mirage13–40.0319%29 Aug →
inferno7–13-0.0333%28 Aug →
inferno13–70.0616%23 Aug →
nuke13–70.0924%21 Aug →
inferno7–13-0.0419%21 Aug →
mirage9–130.0310%21 Aug →
mirage16–130.0321%31 Jul →
inferno11–130.0029%31 Jul →
ancient8–13-0.0023%30 Jul →
dust27–13-0.0122%30 Jul →
dust213–110.0426%30 Jul →
mirage13–90.1631%30 Jul →
inferno13–11-0.0324%30 Jul →
mirage13–50.0218%13 Jul →
dust24–13-0.0516%13 Jul →
inferno13–10.0930%26 Jun →
mirage13–50.0617%18 Jun →
dust213–40.0532%18 Jun →
nuke7–13-0.0930%18 Jun →
dust213–100.0228%18 Jun →
inferno13–5-0.0327%12 Jun →
dust213–11-0.0012%12 Jun →
anubis11–130.0216%12 Jun →
alpine8–13-0.0020%12 Jun →
inferno7–13-0.0422%6 Jun →
dust210–13-0.0117%6 Jun →
dust24–13-0.0917%6 Jun →
inferno11–130.1029%6 Jun →
mirage10–13-0.0225%6 Jun →
cache12–12-0.0913%6 Jun →
inferno13–70.0212%5 Jun →
cache8–13-0.0415%5 Jun →
dust212–120.0724%5 Jun →
dust22–13-0.0014%5 Jun →
dust28–13-0.0920%29 May →
mirage10–13-0.0226%29 May →
anubis8–130.0218%23 May →
office8–13-0.0229%22 May →
office2–13-0.0430%22 May →
dust210–130.0218%22 May →
inferno13–10-0.0218%22 May →
dust214–160.0518%22 May →
dust213–160.0612%16 May →
cache2–130.0239%16 May →
inferno13–4-0.0034%16 May →
dust213–90.0532%11 May →
mirage9–13-0.0215%11 May →
mirage13–90.0113%11 May →
ancient3–13-0.059%11 May →
inferno1–130.0113%11 May →
inferno13–90.1113%11 May →
mirage9–130.0618%9 May →
overpass7–10.3518%9 May →
inferno13–16-0.058%8 May →
mirage13–110.0018%8 May →
dust25–13-0.0122%2 May →
mirage16–14-0.0317%2 May →
inferno13–70.0136%2 May →
cache13–100.0022%2 May →
dust213–60.1430%2 May →
nuke15–150.0518%2 May →
overpass13–90.0114%1 May →
inferno6–13-0.0216%1 May →
mirage13–20.0422%1 May →
dust215–150.0425%1 May →
inferno9–130.0118%1 May →
mirage9–130.0223%30 Apr →
mirage11–130.0317%30 Apr →
inferno13–50.0926%30 Apr →
cache6–130.0127%30 Apr →
inferno13–70.0928%29 Apr →
cache13–60.0118%29 Apr →
inferno8–13-0.0218%26 Apr →
dust213–110.0021%25 Apr →
ancient9–13-0.059%25 Apr →
anubis11–13-0.0714%24 Apr →
mirage13–60.0910%24 Apr →
dust213–110.0229%24 Apr →
mirage11–13-0.0722%24 Apr →
cache_b7–13-0.0330%18 Apr →
dust23–13-0.0522%18 Apr →
dust213–70.0620%18 Apr →
inferno9–13-0.0028%18 Apr →
cache_b13–100.1025%18 Apr →

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 →

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