not black, just slightly cooked

not black, just slightly cooked — CS2 Stats

KP76561198271083850[U:1:310818122]Steam profile ↗✓ No bans

247Tracked matches54%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating21,503Top 50% of 211,827 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63076 of 258705 tracked
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 May 2026 (161 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: 21,503 +2,397 25 Jun – 22 May · 17 days played
17,53923,567peak 23,56725 Jun22 May
23,685Peak Premier in tracked matches
45Days played since 2025-06-25

Premier CS Rating

  • 2,064 below peak (23,567)
  • -2,064 over 30 days · declining
  • Next: Red band at 25,000 — 3,497 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.GGnot black, just slightly …PREMIER21,503 · Pink bandcsdb.gg/stats

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Performance scores

Aim66
Positioning46
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY48–46–6Last 10048%Win rateWLLWWLTLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +1.4pp headshot accuracy · +8ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 28%
  • Avg reaction 576ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 591ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 587ms

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 Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim6.6
Utility3.6
Positioning4.6
Opening Duels3.0

Strong CT-side openerLimited utility dependence

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

m0NESY

Plays most like m0NESY 97% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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 54% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim6.6
Positioning4.6
Utility3.6
Mechanics6.2
Opening Duels3.0
Win Impact6.2

Composite 5.4/10 (Developing), 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 rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time592ms−20ms
first ⅓ avg 612ms → last ⅓ avg 592ms
Headshot accuracy25.2%+1.9%
first ⅓ avg 23.4% → last ⅓ avg 25.2%

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

0.10Best match rating · 16–14 · dust2, 5 Sept →
56%Best headshot accuracy · 10–1 · dust2, 19 Sept →
477msFastest reaction time · 0–10 · mirage, 22 Mar →
13–1Biggest win · mirage, 25 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 80% over 5ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B4220–2248%-0.01
mirageB2312–1152%-0.01
infernoA116–555%-0.02
ancientD102–820%-0.03
overpassS54–180%-0.00
cache—31–233%-0.02
nuke—21–150%-0.03
train—20–20%-0.00
agency—11–0100%-0.01
office—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient 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.

25.3%Headshot accuracy
28.8%Accuracy (enemy spotted)
27.8%Spray accuracy
78.1%Counter-strafing
8.6°Preaim
592msReaction time
28.1%T opening success
53.6%CT opening success
0.55Enemies flashed / flash
7.3%Flash assists
9.18HE damage / grenade
1.01Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.0083 — below the 4 mark we flag

    Grenade Lineups →
  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 28.0726% — below the 40% mark we flag

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–110.0016%22 May →
ancient8–13-0.0120%22 May →
ancient1–13-0.1233%22 May →
cache13–11-0.0531%5 May →
nuke13–10-0.0337%4 May →
mirage7–13-0.0138%4 May →
cache12–12-0.0417%3 May →
cache11–130.0227%3 May →
ancient7–13-0.0213%26 Apr →
overpass13–2-0.0123%26 Apr →
mirage13–10.0817%25 Apr →
ancient1–13-0.1319%25 Apr →
mirage13–8-0.0322%15 Apr →
dust213–80.0326%15 Apr →
mirage4–13-0.0324%11 Apr →
ancient4–13-0.0532%11 Apr →
dust213–50.0421%7 Apr →
mirage11–13-0.0225%7 Apr →
dust28–130.0120%7 Apr →
ancient7–130.0535%24 Mar →
dust213–9-0.0323%24 Mar →
dust213–30.0649%24 Mar →
mirage15–15-0.0622%23 Mar →
inferno13–60.0032%23 Mar →
mirage13–90.0939%23 Mar →
dust213–7-0.0712%22 Mar →
mirage0–10-0.0814%22 Mar →
inferno7–13-0.0926%22 Mar →
mirage13–110.0423%20 Mar →
mirage13–9-0.0423%16 Mar →
inferno13–6-0.0321%16 Mar →
dust25–13-0.0917%21 Nov →
dust213–30.0336%21 Nov →
mirage1–13-0.0822%21 Nov →
inferno13–110.0022%17 Nov →
dust21–10-0.013%17 Nov →
dust25–13-0.0316%17 Nov →
dust213–50.0826%12 Nov →
dust24–13-0.0224%12 Nov →
dust29–130.0634%11 Nov →
train7–130.0024%10 Nov →
dust212–12-0.0224%5 Nov →
dust22–90.0119%5 Nov →
dust28–13-0.0431%3 Nov →
dust213–20.0726%31 Oct →
dust213–9-0.0329%27 Oct →
dust25–130.0335%27 Oct →
dust28–130.0421%27 Oct →
dust27–13-0.0731%27 Oct →
dust211–130.0221%12 Oct →
mirage12–16-0.0327%3 Oct →
overpass11–13-0.0315%27 Sept →
ancient8–13-0.0316%27 Sept →
overpass13–70.0141%20 Sept →
inferno15–15-0.0130%20 Sept →
dust216–14-0.0522%19 Sept →
mirage13–10.0742%19 Sept →
inferno15–150.0335%19 Sept →
dust210–10.0256%19 Sept →
dust29–13-0.0614%18 Sept →
dust28–13-0.0727%18 Sept →
dust22–13-0.0126%18 Sept →
dust213–11-0.0233%17 Sept →
dust211–13-0.0330%16 Sept →
mirage7–13-0.0615%6 Sept →
dust213–70.0021%6 Sept →
dust216–140.1023%5 Sept →
dust25–13-0.0813%5 Sept →
mirage13–30.0531%5 Sept →
agency13–3-0.0121%25 Aug →
office13–8-0.0350%25 Aug →
dust26–13-0.0326%25 Aug →
overpass13–100.0424%21 Aug →
dust213–60.0524%21 Aug →
dust24–13-0.0616%18 Jul →
inferno8–13-0.0019%18 Jul →
overpass13–7-0.0313%18 Jul →
train9–13-0.0127%18 Jul →
dust211–130.0027%5 Jul →
mirage13–30.0115%5 Jul →
mirage15–15-0.0322%5 Jul →
dust211–13-0.0125%4 Jul →
ancient9–13-0.0122%4 Jul →
mirage13–7-0.0417%4 Jul →
inferno1–13-0.0919%4 Jul →
mirage13–110.0116%2 Jul →
dust213–90.0129%2 Jul →
inferno13–8-0.1024%1 Jul →
dust213–9-0.0221%30 Jun →
ancient13–70.0111%30 Jun →
mirage6–130.0436%30 Jun →
nuke13–16-0.0319%29 Jun →
inferno13–110.0319%29 Jun →
ancient16–14-0.0324%28 Jun →
mirage13–5-0.0121%28 Jun →
dust213–9-0.0333%26 Jun →
mirage13–110.0435%26 Jun →
mirage8–13-0.0524%25 Jun →
inferno13–80.0328%25 Jun →
dust216–14-0.0123%25 Jun →

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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