Tea

Tea — CS2 Stats

US76561198848936813[U:1:888671085]Steam profile ↗✓ No bans

272Tracked matches53%Win rate2022Tracked since
578Hours in CS22Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating18,512Purple band · top ~14.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

−11Premier CS Rating · 18,523 → 18,512

Rating over time

Premier CS Rating: 18,512 +8,343 3 Jul – 18 Oct · 16 days played
10,16919,273peak 19,2733 Jul18 Oct
19,634Peak Premier in tracked matches
20Days played since 2026-07-03

Premier CS Rating

  • 761 below peak (19,273)
  • +2,099 over 30 days · improving
  • +3,964 over 90 days
  • Next: Pink band at 20,000 — 1,488 to go
  • Reached: 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 rate45.0%44.3%46.9%1.9% short
Shot accuracy15.2%11.9%13.0%above
Kill/death ratio1.141.031.08above
Match win rate41.8%45.2%46.7%4.9% short

This profile matches the typical Pink band player on 2 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.GGTeaPREMIER18,512 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning71
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateLWWWLLWLWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +1.1pp headshot accuracy · +180ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 617ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 650ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • 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 (+2.1 against its own average).

Aim7.7
Utility1.4
Positioning7.1
Opening Duels5.4
Clutch6.0

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

s1mple

Plays most like s1mple 74% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

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 69% on T to 54% on CT — first contacts on the defending side are being lost.

Reaction time. 583ms 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

Aim7.7
Positioning7.1
Utility1.4
Mechanics7.1
Opening Duels7.8
Win Impact6.1

Composite 6.4/10 (Solid), 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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time571ms−43ms
first ⅓ avg 614ms → last ⅓ avg 571ms
Headshot accuracy18.3%−1.0%
first ⅓ avg 19.3% → last ⅓ avg 18.3%

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

0.18Best match rating · 13–3 · dust2, 5 Jul →
35%Best headshot accuracy · 13–8 · dust2, 20 Sept →
406msFastest reaction time · 5–13 · inferno, 15 Aug →
13–1Biggest win · dust2, 5 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2816–1257%0.02
mirageB2513–1252%0.01
nukeS1410–471%-0.00
cacheB105–550%-0.01
ancientC104–640%0.00
infernoB84–450%0.00
anubis—43–175%0.06
overpass—11–0100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,232Lifetime kills
1.14K/D · Top 50% of Purple band
921Matches
41.8%Match win rate
45.0%Headshot % · Top 50% of Purple band
15.2%Shot accuracy · Top 50% of Purple band
1,977MVPs
308Hours (in match)
957Bombs planted
192Bombs defused

Most-used weapons

Lifetime map wins

1,916dust2
497nuke
246inferno
77lake
63cbble
59office
52train
16stmarc

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

8Matches
38%Win rate
1.29Avg K/D
89.7ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2333%1.1720.0
Nuke250%1.6221.5
Ancient250%1.3420.0
Anubis10%0.8916.0

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.

19.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
32.9%Spray accuracy
81.9%Counter-strafing
7.3°Preaim
583msReaction time
69.2%T opening success
53.5%CT opening success
0.34Enemies flashed / flash
2.4%Flash assists
4.16HE damage / grenade
1.47Flashes / 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. 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 0.3426 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–16-0.0125%18 Oct →
cache13–9-0.0115%18 Oct →
mirage13–30.0112%13 Oct →
dust213–110.0314%13 Oct →
dust25–13-0.0021%13 Oct →
ancient14–16-0.0613%11 Oct →
inferno16–130.0624%11 Oct →
nuke2–13-0.0921%11 Oct →
cache13–100.0221%11 Oct →
nuke13–5-0.0224%11 Oct →
cache9–13-0.015%10 Oct →
anubis8–20.0816%10 Oct →
anubis10–130.0514%10 Oct →
mirage8–13-0.0011%10 Oct →
mirage13–90.1028%10 Oct →
dust213–8-0.0023%10 Oct →
dust23–0-0.060%10 Oct →
mirage13–9-0.0131%10 Oct →
dust213–80.0425%10 Oct →
dust29–130.0226%10 Oct →
dust210–13-0.0022%10 Oct →
ancient11–13-0.0118%10 Oct →
mirage7–13-0.0127%4 Oct →
cache10–13-0.0715%4 Oct →
dust27–13-0.0414%4 Oct →
dust213–80.0117%4 Oct →
dust25–130.0416%3 Oct →
cache13–8-0.0118%3 Oct →
nuke13–5-0.0526%3 Oct →
mirage13–60.0311%3 Oct →
ancient13–80.0523%27 Sept →
nuke4–13-0.0515%27 Sept →
dust213–10-0.0113%27 Sept →
mirage13–40.0826%27 Sept →
mirage10–13-0.0410%27 Sept →
ancient5–13-0.0418%27 Sept →
mirage9–13-0.0714%26 Sept →
nuke13–80.0321%26 Sept →
nuke13–50.0024%26 Sept →
ancient13–6-0.0215%26 Sept →
mirage13–60.0622%26 Sept →
cache13–9-0.0111%26 Sept →
mirage11–13-0.0816%26 Sept →
mirage13–40.1129%20 Sept →
dust212–120.0419%20 Sept →
mirage15–15-0.0419%20 Sept →
cache15–150.0119%20 Sept →
mirage13–10-0.0116%20 Sept →
dust213–80.0835%20 Sept →
nuke13–80.0422%20 Sept →
dust213–10-0.0416%20 Sept →
mirage1–8-0.0126%20 Sept →
nuke13–100.0417%8 Sept →
cache6–130.0319%30 Aug →
mirage13–9-0.0118%30 Aug →
cache7–13-0.0416%30 Aug →
nuke13–40.0920%30 Aug →
ancient13–11-0.0224%30 Aug →
ancient5–130.0617%30 Aug →
dust28–130.0216%30 Aug →
nuke9–130.0015%30 Aug →
dust211–130.0813%23 Aug →
dust213–110.0327%23 Aug →
mirage13–8-0.0518%23 Aug →
nuke8–13-0.0510%23 Aug →
inferno13–10-0.0417%23 Aug →
mirage4–13-0.0119%23 Aug →
mirage13–8-0.0012%16 Aug →
mirage13–20.0621%16 Aug →
dust213–50.1724%16 Aug →
nuke13–60.0511%16 Aug →
dust28–130.0119%16 Aug →
inferno12–16-0.0125%15 Aug →
inferno5–13-0.0615%15 Aug →
dust213–11-0.0320%15 Aug →
dust215–150.0121%26 Jul →
nuke13–40.0030%26 Jul →
mirage11–13-0.0123%14 Jul →
cache13–40.0420%14 Jul →
ancient13–110.0823%6 Jul →
dust213–80.0119%5 Jul →
inferno8–13-0.0519%5 Jul →
nuke13–4-0.0117%5 Jul →
dust213–10.0227%5 Jul →
inferno13–50.0524%5 Jul →
overpass16–130.0922%5 Jul →
ancient8–130.0222%5 Jul →
mirage13–3-0.0121%5 Jul →
dust213–30.1812%5 Jul →
mirage1–80.0116%5 Jul →
anubis13–100.0518%5 Jul →
mirage9–130.0424%5 Jul →
dust211–13-0.0517%5 Jul →
mirage11–13-0.018%4 Jul →
dust215–150.0016%4 Jul →
inferno13–20.1027%4 Jul →
anubis13–110.0417%4 Jul →
dust213–80.0117%4 Jul →
ancient15–15-0.0311%3 Jul →
dust213–80.0222%3 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.