not for kitchen

not for kitchen — CS2 Stats

GB76561198165633148[U:1:205367420]Steam profile ↗✓ No bans

1,962Tracked matches52%Win rate2023Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating13,264Blue band · top ~37.6% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 13,264 → 13,264
+11Tracked matches · now 1,962
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. 39 days played since 24 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,264 +177 10 Jun3 Sept · 28 days played
12,81416,454peak 16,45410 Jun3 Sept
16,454Peak Premier in tracked matches
39Days played since 2026-05-24

Premier CS Rating

  • 3,190 below peak (16,454)
  • -1,736 over 30 days · declining
  • +177 over 90 days
  • Next: Purple band at 15,000 1,736 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGnot for kitchenFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER13,264 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWWWWLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +7.1pp headshot accuracy · −52ms reaction

Win rate up 20pp 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 19%
  • Avg reaction 525ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 585ms

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: SupportUtility contribution stands above the rest of this profile (+1.2 against its own average).

Aim4.1
Utility4.8
Positioning4.6
Opening Duels2.2
Clutch2.8

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

jL

Plays most like jL 74% 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

Strengths

Flashes. 0.93 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.1
Positioning4.6
Utility4.8
Mechanics3.3
Opening Duels1.9
Win Impact5.6

Composite 3.9/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time586ms−60ms
first ⅓ avg 646ms → last ⅓ avg 586ms
Headshot accuracy15.4%−0.2%
first ⅓ avg 15.7% → last ⅓ avg 15.4%

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 · 13–4 · nuke, 9 Jul
27%Best headshot accuracy · 6–13 · nuke, 15 Jun
484msFastest reaction time · 13–11 · ancient, 16 Jun
13–1Biggest win · mirage, 11 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
89In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 73% over 11cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%-0.01
mirageB26141254%-0.01
nukeS118373%0.01
infernoC114736%-0.00
anubisA95456%-0.00
ancientB84450%0.00
cacheD71614%-0.00
overpass1010%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

335Matches
52%Win rate
0.89Avg K/D
74.8ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust210358%0.8613.8
Mirage9255%0.9514.4
Inferno3453%0.8012.2
Nuke3244%0.8213.0
Anubis3145%0.8913.9
Ancient2045%0.9515.8
Cache1644%1.0113.9
Train425%0.7713.3

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.

15.4%Headshot accuracy
29.1%Accuracy (enemy spotted)
33.3%Spray accuracy
64.6%Counter-strafing
10.5°Preaim
587msReaction time
28.2%T opening success
45.1%CT opening success
0.93Enemies flashed / flash
5.5%Flash assists
4.41HE damage / grenade
9.82Flashes / 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 28.166% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0317%16 Sept
mirage13–11-0.0219%26 Aug
mirage16–13-0.0015%25 Aug
mirage13–70.0022%25 Aug
dust25–13-0.0122%24 Aug
inferno13–8-0.0225%20 Aug
dust28–13-0.0022%20 Aug
mirage8–130.0219%18 Aug
dust216–130.0613%18 Aug
cache11–130.0312%18 Aug
dust27–130.028%18 Aug
mirage13–9-0.0215%29 Jul
mirage10–13-0.0513%29 Jul
nuke13–10-0.017%29 Jul
ancient11–13-0.028%29 Jul
anubis16–140.0117%29 Jul
ancient10–130.037%29 Jul
cache11–13-0.0013%28 Jul
anubis13–90.0210%28 Jul
dust215–150.0217%28 Jul
nuke13–10-0.0019%28 Jul
mirage10–13-0.0112%27 Jul
mirage13–60.0714%27 Jul
dust29–130.0118%27 Jul
mirage9–130.0024%27 Jul
dust213–60.0418%27 Jul
dust213–60.0526%25 Jul
inferno2–13-0.0014%24 Jul
anubis13–100.018%24 Jul
dust28–13-0.0812%24 Jul
anubis16–120.029%24 Jul
cache5–130.0218%24 Jul
ancient16–12-0.0414%18 Jul
nuke10–130.0018%18 Jul
mirage11–13-0.0720%18 Jul
mirage2–130.0025%18 Jul
mirage13–30.0724%17 Jul
dust213–80.0417%17 Jul
anubis10–13-0.0211%17 Jul
mirage6–13-0.037%16 Jul
mirage13–16-0.0217%16 Jul
dust213–11-0.0610%14 Jul
mirage13–40.0713%14 Jul
dust213–6-0.0526%14 Jul
mirage13–6-0.027%14 Jul
mirage8–130.0214%13 Jul
mirage13–9-0.0714%13 Jul
nuke16–13-0.0515%12 Jul
mirage13–8-0.015%12 Jul
inferno10–130.0316%12 Jul
dust25–13-0.0413%11 Jul
dust213–5-0.0015%11 Jul
ancient9–13-0.068%11 Jul
inferno16–12-0.0019%11 Jul
mirage13–10.0012%11 Jul
inferno11–13-0.0025%11 Jul
inferno11–13-0.0418%11 Jul
ancient5–130.0013%10 Jul
nuke13–100.0515%10 Jul
cache2–13-0.0020%10 Jul
cache11–130.0011%10 Jul
cache11–13-0.0611%9 Jul
mirage7–13-0.088%9 Jul
anubis10–130.0213%9 Jul
cache13–80.0113%9 Jul
ancient13–110.0115%9 Jul
anubis5–13-0.0110%9 Jul
dust213–7-0.0213%9 Jul
dust213–30.0612%9 Jul
nuke13–40.1221%9 Jul
dust213–5-0.0512%5 Jul
mirage9–130.0013%3 Jul
ancient13–60.0711%1 Jul
inferno11–130.0418%30 Jun
inferno19–170.0314%26 Jun
mirage13–10-0.047%25 Jun
nuke5–13-0.0511%24 Jun
mirage13–3-0.028%22 Jun
dust213–80.0216%22 Jun
nuke13–40.0013%22 Jun
overpass8–13-0.0520%21 Jun
dust27–13-0.0027%20 Jun
inferno3–130.0123%19 Jun
dust213–20.0123%19 Jun
dust215–15-0.0322%18 Jun
dust213–8-0.0311%18 Jun
dust213–5-0.0216%18 Jun
inferno12–16-0.0520%17 Jun
dust213–9-0.0113%17 Jun
ancient13–110.0417%16 Jun
nuke6–130.0127%15 Jun
anubis8–13-0.059%14 Jun
inferno13–11-0.007%14 Jun
dust213–10-0.0310%14 Jun
mirage4–13-0.0611%14 Jun
dust27–13-0.039%14 Jun
anubis13–90.0021%11 Jun
nuke13–60.0226%10 Jun
mirage13–5-0.0220%10 Jun
dust29–13-0.0515%24 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 →