Cooked

Cooked — CS2 Stats

FM76561199284232279[U:1:1323966551]Steam profile ↗✓ No bans

258Tracked matches57%Win rate2025Tracked since
164Hours in CS
CSDB Rating4.1 DevelopingSupport
Premier CS Rating5,294Light Blue band · top ~77.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 258 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,294 +0 16 Sept – 28 Oct · 4 observations
5,2945,294peak 5,29416 Sept28 Oct
5,294Peak Premier on CSDB
32Days played since 2026-07-28

Premier CS Rating

  • At peak — 5,294
  • 0 over 30 days · steady
  • Next: Blue band at 10,000 — 4,706 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-16

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=10,066), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.7%40.0%42.0%8.3% short
Shot accuracy0.0%6.9%9.7%9.7% short
Kill/death ratio0.850.920.980.13 short
Match win rate51.1%42.3%43.8%above

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

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

Share this profile

CSDB.GGCookedPREMIER5,294 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning47
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY62–35–3Last 10062%Win rateWWWLLLWLLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.7pp headshot accuracy · −2ms 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 9%
  • Avg reaction 628ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 593ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 594ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim4.2
Utility4.9
Positioning4.7
Opening Duels1.2

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 72% 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

T-side openings. Opening success drops from 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim4.2
Positioning4.7
Utility4.9
Mechanics5.2
Opening Duels1.7
Win Impact7.2

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time607ms−71ms
first ⅓ avg 678ms → last ⅓ avg 607ms
Headshot accuracy13.2%+2.1%
first ⅓ avg 11.2% → last ⅓ avg 13.2%

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 · 13–7 · mirage, 21 Aug →
31%Best headshot accuracy · 13–5 · nuke, 28 Aug →
422msFastest reaction time · 4–13 · dust2, 4 Sept →
13–0Biggest win · inferno, 23 Aug →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W3Current streak
4–4In matches decided by ≤2 rounds

Map breakdown

trainBest map · 75% over 8cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2S4230–1271%-0.00
infernoS128–467%-0.00
nukeA127–558%-0.03
mirageB126–650%-0.03
trainS86–275%-0.02
cacheD51–420%-0.03
ancient—31–233%-0.01
boulder—22–0100%-0.02
vertigo—20–20%-0.07
fachwerk—11–0100%0.02
anubis—10–10%0.00

Across the last 100 tracked matches.

Lifetime stats

5,546Lifetime kills
0.85K/D
468Matches
51.1%Match win rate · Top 5% of Light Blue band
33.7%Headshot %
0.0%Shot accuracy
650MVPs
164Hours (in match)
742Bombs planted
100Bombs defused

Most-used weapons

Lifetime map wins

1,677dust2
625inferno
475nuke
225train
108vertigo
44office
15italy
1ar_shoots

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.6%Headshot accuracy
31.0%Accuracy (enemy spotted)
30.0%Spray accuracy
73.5%Counter-strafing
10.4°Preaim
609msReaction time
23.1%T opening success
43.7%CT opening success
0.54Enemies flashed / flash
1.8%Flash assists
8.17HE damage / grenade
5.42Flashes / 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 12.6473% — 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 23.1008% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.068%9 Oct →
train13–5-0.0312%9 Oct →
dust213–90.0116%27 Sept →
nuke4–13-0.100%23 Sept →
train2–13-0.039%20 Sept →
dust26–130.0110%20 Sept →
dust213–11-0.068%5 Sept →
mirage6–13-0.0213%4 Sept →
dust24–13-0.027%4 Sept →
inferno13–8-0.0113%4 Sept →
dust24–40.0416%4 Sept →
mirage9–13-0.0321%4 Sept →
dust213–30.0417%3 Sept →
ancient13–4-0.067%3 Sept →
dust213–90.015%2 Sept →
dust213–10.0122%2 Sept →
dust211–13-0.0510%1 Sept →
inferno8–130.0212%1 Sept →
dust213–30.0211%1 Sept →
cache3–13-0.0711%31 Aug →
inferno13–40.059%31 Aug →
dust20–13-0.0629%31 Aug →
dust211–1-0.019%29 Aug →
dust25–2-0.0531%29 Aug →
cache13–40.044%29 Aug →
dust28–13-0.0717%29 Aug →
nuke13–5-0.0231%28 Aug →
inferno9–13-0.0510%28 Aug →
mirage13–9-0.0619%28 Aug →
nuke13–3-0.039%28 Aug →
dust210–1-0.0117%28 Aug →
cache0–6-0.069%28 Aug →
dust213–110.0516%26 Aug →
dust213–100.0414%26 Aug →
mirage4–13-0.1025%26 Aug →
cache6–13-0.0313%26 Aug →
dust213–8-0.0120%24 Aug →
inferno13–100.0121%24 Aug →
dust213–7-0.014%24 Aug →
train13–20.0120%23 Aug →
dust213–50.0212%23 Aug →
inferno13–00.0113%23 Aug →
nuke13–110.0320%23 Aug →
mirage13–4-0.016%23 Aug →
boulder13–5-0.0311%23 Aug →
nuke5–13-0.0815%22 Aug →
nuke13–7-0.128%22 Aug →
dust213–30.0021%22 Aug →
inferno13–90.0318%22 Aug →
dust24–13-0.0720%22 Aug →
cache6–13-0.0618%22 Aug →
mirage13–10-0.0411%21 Aug →
mirage13–5-0.0117%21 Aug →
mirage13–70.1030%21 Aug →
dust213–4-0.029%21 Aug →
dust213–40.058%21 Aug →
inferno13–7-0.038%19 Aug →
dust213–70.0411%19 Aug →
mirage13–7-0.027%17 Aug →
train13–4-0.0714%14 Aug →
boulder13–1-0.017%14 Aug →
dust210–40.0312%14 Aug →
mirage6–13-0.0612%14 Aug →
nuke11–130.026%14 Aug →
train13–50.013%12 Aug →
nuke13–90.019%12 Aug →
train13–6-0.0117%12 Aug →
inferno4–13-0.0819%12 Aug →
dust213–20.0311%12 Aug →
dust213–40.0111%10 Aug →
nuke13–5-0.020%9 Aug →
dust213–50.0310%9 Aug →
nuke12–12-0.0512%9 Aug →
dust213–60.0723%8 Aug →
nuke13–4-0.0116%8 Aug →
train12–12-0.059%8 Aug →
ancient4–13-0.0410%8 Aug →
dust213–70.0811%7 Aug →
vertigo3–13-0.119%7 Aug →
dust213–60.048%7 Aug →
mirage1–130.030%5 Aug →
mirage1–13-0.148%5 Aug →
dust213–5-0.0712%5 Aug →
dust213–80.023%5 Aug →
nuke1–13-0.058%5 Aug →
dust29–13-0.0615%4 Aug →
dust26–13-0.049%1 Aug →
fachwerk13–40.0215%1 Aug →
inferno9–130.0613%1 Aug →
dust213–6-0.069%31 Jul →
dust212–12-0.028%31 Jul →
anubis6–130.0016%31 Jul →
dust213–8-0.0316%30 Jul →
vertigo10–13-0.0415%29 Jul →
dust213–3-0.0018%29 Jul →
dust211–13-0.058%29 Jul →
train13–110.007%29 Jul →
dust27–13-0.0111%28 Jul →
ancient9–130.0610%28 Jul →
inferno13–40.0320%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.