|!||y

|!||y — CS2 Stats

US76561199560673624[U:1:1600407896]Steam profile ↗✓ No bans

3,082Tracked matches23%Win rate2023Tracked since
CSDB Rating3.1 LearningClutch Specialist
Premier CS Rating4,877Grey band · top ~79.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (13 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: 4,877 -865 24 Aug – 4 Oct · 7 days played
4,8776,413peak 6,41324 Aug4 Oct
6,502Peak Premier in tracked matches
18Days played since 2026-08-24

Premier CS Rating

  • 1,536 below peak (6,413)
  • -1,021 over 30 days · declining
  • Next: Light Blue band at 5,000 — 123 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GG|!||yPREMIER4,877 · Grey bandcsdb.gg/stats

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Performance scores

Aim31
Positioning42
Utility53

0–100 skill scores via Leetify.

Recent form

COLD34–57–9Last 10034%Win rateTTLLLLLWLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +2.7pp headshot accuracy · +20ms reaction

Win rate down 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 697ms

Last 10

  • 1–7–2 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 756ms

Last 20

  • 4–12–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 746ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim3.1
Utility5.3
Positioning4.2
Opening Duels0.0
Clutch6.0

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 65% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 38% on T to 21% on CT — first contacts on the defending side are being lost.

Reaction time. 735ms 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

Aim3.1
Positioning4.2
Utility5.3
Mechanics5.1
Opening Duels1.0
Win Impact0.0

Composite 3.1/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time727ms+19ms
first ⅓ avg 708ms → last ⅓ avg 727ms
Headshot accuracy14.3%+1.0%
first ⅓ avg 13.3% → last ⅓ avg 14.3%

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

0.09Best match rating · 7–13 · dust2, 28 Aug →
29%Best headshot accuracy · 10–13 · dust2, 4 Oct →
492msFastest reaction time · 2–13 · ancient, 4 Oct →
13–1Biggest win · ancient, 6 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–1In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 41% over 17cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3915–2438%-0.03
mirageC177–1041%-0.03
ancientC156–940%-0.03
infernoD82–625%-0.02
anubisD82–625%-0.04
vertigoD72–529%-0.05
cacheD50–50%-0.08
nuke—10–10%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

12Matches
0%Win rate
0.42Avg K/D
49.5ADR
35%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.334.7
Inferno30%0.7110.7
Ancient20%0.447.5
Anubis20%0.204.5
Vertigo10%0.335.0
Nuke10%0.294.0

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.

14.5%Headshot accuracy
30.1%Accuracy (enemy spotted)
35.5%Spray accuracy
72.8%Counter-strafing
11.9°Preaim
735msReaction time
38.2%T opening success
21.1%CT opening success
0.55Enemies flashed / flash
5.4%Flash assists
12.00HE damage / grenade
8.05Flashes / 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 14.5364% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 735.4022ms — above the 700ms mark we flag

    Aim Training →
  3. 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 38.2354% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.0621%11 Oct →
inferno12–12-0.0514%11 Oct →
dust24–13-0.0623%11 Oct →
vertigo11–13-0.0119%11 Oct →
ancient2–13-0.067%4 Oct →
dust210–13-0.0229%4 Oct →
cache9–13-0.0520%4 Oct →
dust213–9-0.0711%4 Oct →
dust210–13-0.0521%4 Oct →
mirage10–13-0.0414%4 Oct →
dust213–8-0.0117%4 Oct →
ancient9–130.0015%4 Oct →
dust29–13-0.0015%4 Oct →
mirage13–9-0.0414%4 Oct →
inferno10–13-0.0226%30 Sept →
anubis12–12-0.0513%30 Sept →
ancient13–110.0110%30 Sept →
dust26–13-0.0414%30 Sept →
dust24–130.0423%30 Sept →
ancient12–12-0.064%28 Sept →
vertigo8–13-0.063%28 Sept →
mirage10–13-0.0117%28 Sept →
dust213–6-0.0614%28 Sept →
nuke9–13-0.032%24 Sept →
ancient1–13-0.080%24 Sept →
dust21–13-0.1111%24 Sept →
dust213–11-0.0111%24 Sept →
dust26–13-0.0319%24 Sept →
dust24–13-0.0711%24 Sept →
anubis9–13-0.0711%19 Sept →
dust213–8-0.0117%19 Sept →
inferno9–130.027%19 Sept →
vertigo13–5-0.0520%19 Sept →
dust29–1-0.0129%15 Sept →
dust25–13-0.088%15 Sept →
dust213–100.0512%15 Sept →
dust25–13-0.0611%15 Sept →
dust22–00.050%15 Sept →
dust213–9-0.019%15 Sept →
ancient13–7-0.018%14 Sept →
dust210–13-0.056%14 Sept →
mirage13–9-0.065%14 Sept →
anubis5–13-0.0117%14 Sept →
inferno7–130.0114%14 Sept →
dust213–9-0.0311%14 Sept →
dust25–13-0.0121%14 Sept →
ancient6–13-0.076%14 Sept →
dust27–130.0414%14 Sept →
inferno13–5-0.0015%12 Sept →
anubis8–13-0.086%12 Sept →
dust213–9-0.0623%12 Sept →
mirage13–20.059%12 Sept →
mirage0–13-0.0418%12 Sept →
ancient13–6-0.035%12 Sept →
dust25–13-0.0913%12 Sept →
mirage12–12-0.0314%9 Sept →
vertigo13–5-0.079%9 Sept →
dust213–100.0614%9 Sept →
dust210–13-0.059%9 Sept →
inferno12–12-0.070%9 Sept →
dust213–11-0.0227%9 Sept →
mirage6–13-0.0815%6 Sept →
ancient13–10.079%6 Sept →
dust213–5-0.0213%6 Sept →
dust26–13-0.128%6 Sept →
mirage13–80.0610%6 Sept →
vertigo12–12-0.0310%6 Sept →
dust27–13-0.0713%3 Sept →
anubis13–5-0.0320%3 Sept →
dust20–13-0.0717%31 Aug →
ancient3–13-0.0620%31 Aug →
mirage5–13-0.053%31 Aug →
mirage7–13-0.066%31 Aug →
ancient9–13-0.0710%31 Aug →
dust26–13-0.0721%31 Aug →
ancient13–7-0.0410%31 Aug →
cache6–13-0.127%31 Aug →
cache3–13-0.0615%28 Aug →
vertigo6–13-0.0912%28 Aug →
mirage7–130.0115%28 Aug →
ancient7–13-0.0511%28 Aug →
dust27–130.0917%28 Aug →
ancient13–3-0.0210%28 Aug →
dust28–1-0.0410%28 Aug →
mirage5–13-0.0310%27 Aug →
vertigo6–13-0.0710%27 Aug →
cache12–12-0.058%26 Aug →
mirage13–7-0.0516%26 Aug →
dust210–13-0.0523%26 Aug →
anubis12–12-0.0111%26 Aug →
inferno13–40.0323%26 Aug →
mirage13–6-0.004%26 Aug →
ancient1–13-0.079%25 Aug →
mirage13–10-0.0824%25 Aug →
dust210–13-0.0418%25 Aug →
anubis8–13-0.0717%24 Aug →
anubis13–110.0215%24 Aug →
inferno8–13-0.0510%24 Aug →
cache5–13-0.1017%24 Aug →
dust29–13-0.1010%24 Aug →

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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