stinky bitch

stinky bitch — CS2 Stats

US76561198783322452[U:1:823056724]Steam profile ↗✓ No bans

141Tracked matches41%Win rate2026Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating11,649Blue band · top ~46.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (yesterday). 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: 11,649 +949 22 May – 15 Oct · 16 days played
8,47812,246peak 12,24622 May15 Oct
13,085Peak Premier in tracked matches
34Days played since 2026-05-15

Premier CS Rating

  • 597 below peak (12,246)
  • Next: Purple band at 15,000 — 3,351 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGstinky bitchPREMIER11,649 · Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning66
Utility58

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateWLLLWWLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +3.9pp headshot accuracy · +116ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 14%
  • Avg reaction 695ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 14%
  • Avg reaction 560ms

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 (+1.5 against its own average).

Aim7.0
Utility5.8
Positioning6.6
Opening Duels2.9

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 55% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 587ms 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

Aim7.0
Positioning6.6
Utility5.8
Mechanics5.0
Opening Duels3.7
Win Impact2.1

Composite 5.3/10 (Developing), 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 rating0.05+0.02
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time548ms−96ms
first ⅓ avg 643ms → last ⅓ avg 548ms
Headshot accuracy13.9%−3.4%
first ⅓ avg 17.2% → last ⅓ avg 13.9%

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

0.24Best match rating · 13–2 · ancient, 3 Oct →
43%Best headshot accuracy · 9–3 · inferno, 15 May →
430msFastest reaction time · 9–2 · anubis, 15 Aug →
13–0Biggest win · mirage, 15 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 69% over 16nukeWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC228–1436%0.01
nukeD164–1225%0.02
dust2A169–756%0.02
ancientS1611–569%0.05
anubisC125–742%0.04
infernoB126–650%0.06
cache—43–175%0.02
vertigo—22–0100%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Nuke 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.

15.5%Headshot accuracy
37.6%Accuracy (enemy spotted)
42.5%Spray accuracy
72.5%Counter-strafing
9.6°Preaim
587msReaction time
54.8%T opening success
34.7%CT opening success
0.65Enemies flashed / flash
3.1%Flash assists
10.08HE damage / grenade
12.02Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.6868% — below the 40% mark we flag

Spend your practice time on Nuke

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0814%15 Oct →
anubis10–130.0519%15 Oct →
inferno5–130.0615%15 Oct →
nuke7–9-0.0013%15 Oct →
mirage13–00.1011%15 Oct →
mirage13–80.0322%14 Oct →
dust28–130.0824%14 Oct →
nuke11–130.0413%14 Oct →
mirage10–130.0415%14 Oct →
mirage7–130.0512%14 Oct →
anubis10–13-0.019%13 Oct →
anubis9–130.000%13 Oct →
nuke5–130.0517%11 Oct →
mirage6–130.0024%11 Oct →
dust29–130.0715%11 Oct →
anubis13–30.1316%11 Oct →
inferno4–50.000%9 Oct →
dust213–110.1412%9 Oct →
ancient9–130.1212%9 Oct →
inferno13–80.1013%9 Oct →
dust213–80.1018%9 Oct →
ancient13–80.0919%8 Oct →
inferno12–120.0915%8 Oct →
inferno13–80.1414%6 Oct →
dust213–70.0714%6 Oct →
mirage13–90.0715%6 Oct →
nuke7–13-0.0021%6 Oct →
inferno2–60.000%3 Oct →
ancient6–130.0114%3 Oct →
cache10–130.0215%3 Oct →
ancient13–7-0.0213%3 Oct →
inferno13–80.0214%3 Oct →
dust213–60.0210%3 Oct →
ancient13–20.248%3 Oct →
anubis10–130.1113%2 Oct →
inferno13–50.0817%2 Oct →
ancient10–00.0817%2 Oct →
cache13–70.0715%2 Oct →
nuke9–13-0.0613%1 Oct →
ancient16–12-0.0218%1 Oct →
anubis6–13-0.0412%31 Aug →
ancient13–10-0.047%31 Aug →
mirage13–3-0.104%31 Aug →
ancient13–50.0120%31 Aug →
mirage9–13-0.0517%31 Aug →
nuke13–90.0611%31 Aug →
dust26–13-0.078%22 Aug →
dust216–13-0.0518%21 Aug →
mirage10–13-0.088%21 Aug →
dust213–5-0.0210%21 Aug →
anubis9–13-0.063%20 Aug →
dust211–130.0218%15 Aug →
cache13–11-0.0216%15 Aug →
mirage11–130.0010%15 Aug →
anubis9–20.0720%15 Aug →
dust24–13-0.0513%15 Aug →
inferno13–11-0.0310%12 Aug →
nuke4–13-0.073%12 Aug →
mirage1–130.0114%12 Aug →
nuke16–13-0.0312%12 Aug →
ancient13–10-0.019%12 Aug →
inferno5–13-0.0110%11 Aug →
anubis1–13-0.017%10 Aug →
ancient5–130.097%10 Aug →
mirage13–50.0912%10 Aug →
ancient16–140.018%9 Aug →
ancient2–130.0518%9 Aug →
ancient13–7-0.0919%9 Aug →
anubis13–70.0610%8 Aug →
dust22–13-0.0413%6 Aug →
mirage14–160.028%6 Aug →
nuke9–130.028%6 Aug →
mirage14–16-0.0115%2 Aug →
nuke4–13-0.027%2 Aug →
mirage3–13-0.029%27 Jul →
nuke11–130.0222%25 Jul →
ancient11–130.1817%20 Jul →
anubis13–60.159%20 Jul →
nuke14–160.1413%20 Jul →
mirage7–13-0.0511%29 Jun →
mirage13–60.0218%29 Jun →
ancient13–50.0829%23 Jun →
dust213–9-0.0917%23 Jun →
vertigo13–40.0111%5 Jun →
vertigo13–10-0.0127%1 Jun →
dust213–30.0716%1 Jun →
mirage13–50.0716%22 May →
mirage5–130.0122%22 May →
nuke5–13-0.0028%22 May →
nuke13–60.1423%22 May →
dust25–130.0116%21 May →
nuke13–60.1421%20 May →
dust213–6-0.0024%20 May →
cache13–7-0.0117%20 May →
mirage10–130.0414%20 May →
inferno8–80.1616%17 May →
mirage10–130.009%17 May →
inferno9–30.1543%15 May →
nuke4–13-0.0324%15 May →
mirage13–110.0718%15 May →

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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