.尺ocket

.尺ocket — CS2 Stats

DE76561197994352929[U:1:34087201]Steam profile ↗✓ No bans

693Tracked matches79%Win rate2024Tracked since
CSDB Rating5.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 693 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,722 +122 16 Jun – 6 Jul · 2 days played
16,60016,722peak 16,72216 Jun6 Jul
16,722Peak Premier in tracked matches
57Days played since 2026-04-27

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

Performance scores

Aim68
Positioning24
Utility57

0–100 skill scores via Leetify.

Recent form

HOT68–26–6Last 10068%Win rateWWWLWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +6.2pp headshot accuracy · +49ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 705ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 675ms

Last 20

  • 16–3–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 651ms

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 (+3 against its own average).

Aim6.8
Utility5.7
Positioning2.4
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 27% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim6.8
Positioning2.4
Utility5.7
Mechanics7.1
Opening Duels0.0
Win Impact10.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time667ms−87ms
first ⅓ avg 754ms → last ⅓ avg 667ms
Headshot accuracy15.3%+2.6%
first ⅓ avg 12.6% → last ⅓ avg 15.3%

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

0.11Best match rating · 13–1 · italy, 8 Jun →
39%Best headshot accuracy · 10–13 · ancient, 1 Sept →
445msFastest reaction time · 13–10 · office, 30 Aug →
13–0Biggest win · italy, 9 May →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
8–5In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 83% over 6cacheWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
italyS6346–1773%-0.04
cacheB157–847%-0.06
vertigoS65–183%-0.04
ancientA53–260%-0.05
office—33–0100%-0.02
mirage—31–233%-0.06
anubis—22–0100%-0.03
inferno—10–10%0.05
dust2—11–0100%-0.00
train—10–10%-0.07

Across the last 100 tracked matches.

Skill profile

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

15.8%Headshot accuracy
35.0%Accuracy (enemy spotted)
37.3%Spray accuracy
81.7%Counter-strafing
8.2°Preaim
650msReaction time
10.8%T opening success
27.0%CT opening success
0.73Enemies flashed / flash
2.9%Flash assists
7.85HE damage / grenade
8.43Flashes / 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 10.828% — 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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
italy13–90.008%8 Sept →
vertigo13–6-0.0114%6 Sept →
italy13–8-0.0810%6 Sept →
ancient10–13-0.0739%1 Sept →
office13–11-0.0036%31 Aug →
italy13–7-0.1111%31 Aug →
vertigo13–9-0.0210%30 Aug →
office13–100.0126%30 Aug →
anubis13–4-0.0425%27 Aug →
office13–9-0.0623%27 Aug →
cache3–13-0.1025%25 Aug →
italy13–60.0116%25 Aug →
italy13–11-0.095%23 Aug →
italy13–6-0.0318%23 Aug →
italy13–20.0518%20 Aug →
italy12–12-0.0716%20 Aug →
italy13–10-0.0610%19 Aug →
italy13–8-0.099%18 Aug →
italy10–13-0.0715%17 Aug →
italy13–4-0.018%17 Aug →
vertigo13–11-0.029%16 Aug →
italy13–11-0.0915%16 Aug →
cache8–0-0.0411%16 Aug →
italy4–13-0.067%16 Aug →
italy7–13-0.0616%14 Aug →
italy13–9-0.088%14 Aug →
italy13–60.0124%10 Aug →
cache5–13-0.0617%8 Aug →
italy12–12-0.098%8 Aug →
italy13–5-0.0618%8 Aug →
italy13–8-0.029%6 Aug →
ancient13–10-0.056%2 Aug →
cache11–13-0.0616%2 Aug →
italy13–7-0.0711%29 Jul →
italy8–13-0.0612%28 Jul →
italy11–13-0.0418%28 Jul →
italy13–9-0.026%27 Jul →
italy9–8-0.0615%26 Jul →
italy5–130.0321%26 Jul →
italy13–60.0523%25 Jul →
italy13–8-0.0314%25 Jul →
ancient13–2-0.0218%23 Jul →
italy13–5-0.0218%23 Jul →
ancient5–13-0.0612%23 Jul →
italy13–10-0.0215%21 Jul →
italy9–13-0.0913%21 Jul →
italy13–8-0.047%20 Jul →
italy12–12-0.1029%19 Jul →
mirage13–6-0.0324%18 Jul →
mirage10–13-0.069%18 Jul →
inferno7–90.0514%18 Jul →
anubis13–3-0.0217%17 Jul →
cache13–9-0.0532%17 Jul →
italy13–3-0.0326%16 Jul →
italy13–6-0.098%16 Jul →
cache13–5-0.098%16 Jul →
italy13–7-0.0523%15 Jul →
italy13–4-0.0328%8 Jul →
italy5–1-0.1330%8 Jul →
cache4–13-0.0822%8 Jul →
italy13–10-0.0727%6 Jul →
cache13–6-0.0412%6 Jul →
ancient13–6-0.0632%6 Jul →
italy4–13-0.1113%5 Jul →
mirage10–13-0.0822%5 Jul →
italy13–9-0.0514%3 Jul →
italy1–13-0.0525%3 Jul →
italy13–80.0114%2 Jul →
italy13–20.0516%2 Jul →
italy13–8-0.0714%30 Jun →
italy13–4-0.088%30 Jun →
cache12–12-0.077%18 Jun →
italy13–8-0.0511%17 Jun →
italy13–5-0.0414%16 Jun →
dust213–10-0.0018%16 Jun →
italy13–11-0.058%15 Jun →
italy12–12-0.076%9 Jun →
cache13–5-0.0023%8 Jun →
italy13–10.1116%8 Jun →
italy13–8-0.076%30 May →
italy1–13-0.030%30 May →
italy13–11-0.0319%28 May →
vertigo13–9-0.064%26 May →
cache5–13-0.0618%23 May →
italy13–30.0218%19 May →
italy7–13-0.088%19 May →
italy13–50.0110%18 May →
vertigo11–13-0.055%12 May →
vertigo13–11-0.090%9 May →
italy13–0-0.0117%9 May →
train12–12-0.078%7 May →
italy13–7-0.069%7 May →
italy11–13-0.0911%6 May →
italy3–13-0.079%4 May →
italy13–30.0213%3 May →
cache10–13-0.0632%3 May →
cache13–7-0.0720%3 May →
cache7–13-0.0918%29 Apr →
cache13–8-0.0721%29 Apr →
italy13–10-0.0817%27 Apr →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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