täti

täti — CS2 Stats

76561198200781189[U:1:240515461]Steam profile ↗✓ No bans

382Tracked matches53%Win rate2020Tracked since
1,074Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating16,641Purple band · top ~21.9% 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: 16,641 -3,359 20 Sept – 15 Oct · 22 days played
16,30820,645peak 20,64520 Sept15 Oct
21,065Peak Premier in tracked matches
22Days played since 2026-09-20

Premier CS Rating

  • 4,004 below peak (20,645)
  • -3,359 over 30 days · declining
  • Next: Pink band at 20,000 — 3,359 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.5%44.3%46.9%4.4% short
Shot accuracy20.9%11.9%13.0%above
Kill/death ratio0.931.031.080.15 short
Match win rate33.1%45.2%46.7%13.6% short

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

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

Share this profile

CSDB.GGtätiPREMIER16,641 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning25
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLWWWWWWLLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +3.8pp headshot accuracy · −78ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 528ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 544ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 583ms

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 (+1.7 against its own average).

Aim7.8
Utility3.8
Positioning2.5
Opening Duels0.0

Limited utility dependence

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

b1t

Plays most like b1t 84% playstyle similarity

Most alike: aim profile, utility contribution.

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 53 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 29% on T to 9% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms 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

Aim7.8
Positioning2.5
Utility3.8
Mechanics7.3
Opening Duels0.0
Win Impact6.1

Composite 5.1/10 (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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time582ms−10ms
first ⅓ avg 592ms → last ⅓ avg 582ms
Headshot accuracy13.9%−0.5%
first ⅓ avg 14.3% → 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

0.07Best match rating · 13–1 · mirage, 11 Oct →
100%Best headshot accuracy · 1–4 · mirage, 7 Oct →
422msFastest reaction time · 4–13 · mirage, 10 Oct →
13–0Biggest win · nuke, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 78% over 9ancientWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2715–1256%-0.04
dust2C166–1038%-0.04
nukeB157–847%-0.05
infernoB137–654%-0.04
cacheB136–746%-0.04
anubisS97–278%-0.05
ancientD70–70%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,417Lifetime kills
0.93K/D
3,041Matches
33.1%Match win rate
42.5%Headshot %
20.9%Shot accuracy · Top 5% of Purple band
3,591MVPs
1,074Hours (in match)
1,531Bombs planted
410Bombs defused

Most-used weapons

AK-479,895
SG 5536,501
AUG5,721
P902,565
AWP1,211

Lifetime map wins

4,580inferno
3,618dust2
1,330nuke
417cbble
133train
120vertigo
63italy
53assault

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.

12.9%Headshot accuracy
37.0%Accuracy (enemy spotted)
42.6%Spray accuracy
82.9%Counter-strafing
8.4°Preaim
566msReaction time
29.0%T opening success
8.8%CT opening success
0.49Enemies flashed / flash
2.1%Flash assists
10.74HE damage / grenade
1.68Flashes / 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 12.9113% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4889 — below the 0.5 mark we flag

    Grenade Lineups →
  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 28.9902% — below the 40% mark we flag

Spend your practice time on Ancient

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 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0011%15 Oct →
nuke13–10-0.126%15 Oct →
inferno16–14-0.0216%15 Oct →
nuke13–0-0.0426%15 Oct →
anubis13–10-0.0413%14 Oct →
anubis13–5-0.0313%14 Oct →
mirage13–80.0314%14 Oct →
dust23–13-0.059%14 Oct →
cache6–13-0.0320%14 Oct →
inferno4–13-0.0623%14 Oct →
cache13–6-0.0113%13 Oct →
mirage13–10-0.0416%13 Oct →
cache10–13-0.0313%13 Oct →
cache3–13-0.0610%13 Oct →
anubis6–13-0.097%12 Oct →
nuke13–2-0.080%12 Oct →
mirage13–7-0.0814%12 Oct →
dust213–8-0.0313%11 Oct →
inferno10–13-0.039%11 Oct →
mirage13–10.0719%11 Oct →
mirage13–8-0.0414%11 Oct →
dust22–13-0.0821%10 Oct →
mirage4–13-0.088%10 Oct →
nuke13–90.0522%10 Oct →
nuke13–6-0.0318%10 Oct →
nuke9–13-0.084%10 Oct →
mirage10–13-0.068%10 Oct →
dust213–90.0614%10 Oct →
nuke13–16-0.0011%10 Oct →
cache14–16-0.0610%10 Oct →
nuke6–130.0320%8 Oct →
anubis13–7-0.0218%7 Oct →
inferno13–3-0.0224%7 Oct →
mirage1–40.04100%7 Oct →
ancient10–13-0.0532%7 Oct →
mirage13–6-0.0216%7 Oct →
mirage13–7-0.0312%7 Oct →
mirage9–13-0.0813%6 Oct →
cache10–13-0.0216%6 Oct →
cache16–14-0.0517%6 Oct →
dust210–13-0.0613%6 Oct →
nuke13–10-0.0410%6 Oct →
anubis13–7-0.107%2 Oct →
anubis13–8-0.077%2 Oct →
dust215–15-0.0620%1 Oct →
ancient7–13-0.0520%1 Oct →
nuke9–13-0.089%30 Sept →
mirage13–16-0.046%30 Sept →
dust211–13-0.0618%29 Sept →
mirage16–13-0.0419%29 Sept →
mirage13–30.0129%29 Sept →
ancient6–13-0.140%29 Sept →
cache5–13-0.0321%29 Sept →
dust214–16-0.0622%28 Sept →
inferno5–13-0.077%28 Sept →
anubis13–60.0415%28 Sept →
inferno13–8-0.0127%28 Sept →
mirage13–8-0.0613%28 Sept →
inferno10–13-0.0112%27 Sept →
mirage10–13-0.0315%27 Sept →
inferno13–6-0.0117%27 Sept →
dust213–10-0.0817%27 Sept →
mirage13–10-0.080%27 Sept →
dust213–7-0.0719%27 Sept →
cache13–4-0.028%27 Sept →
mirage4–13-0.0820%27 Sept →
inferno13–6-0.0123%27 Sept →
anubis16–14-0.068%26 Sept →
cache13–3-0.0520%26 Sept →
dust210–13-0.0013%26 Sept →
nuke9–13-0.086%26 Sept →
mirage13–8-0.0120%26 Sept →
nuke5–13-0.0725%26 Sept →
mirage5–13-0.0813%26 Sept →
cache14–16-0.059%26 Sept →
dust213–10-0.0216%26 Sept →
inferno8–13-0.0911%26 Sept →
mirage10–130.0114%26 Sept →
nuke3–11-0.0513%26 Sept →
cache13–5-0.0119%25 Sept →
mirage13–7-0.0610%25 Sept →
ancient9–130.0111%25 Sept →
ancient11–13-0.077%25 Sept →
dust210–13-0.0614%25 Sept →
nuke13–7-0.0718%25 Sept →
mirage6–13-0.0712%25 Sept →
nuke10–13-0.0513%24 Sept →
mirage12–16-0.0320%24 Sept →
mirage15–15-0.0519%24 Sept →
ancient3–13-0.1423%23 Sept →
mirage13–10-0.0617%23 Sept →
inferno7–13-0.0424%23 Sept →
inferno13–10-0.0717%23 Sept →
cache13–9-0.0213%22 Sept →
anubis13–16-0.039%22 Sept →
inferno13–4-0.0618%21 Sept →
dust29–13-0.089%21 Sept →
dust213–10-0.028%21 Sept →
mirage13–10-0.0512%21 Sept →
ancient5–13-0.0414%20 Sept →

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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