Your WET Dream

Your WET Dream — CS2 Stats

TW76561199644417739[U:1:1684152011]Steam profile ↗✓ No bans

1,113Tracked matches54%Win rate2024Tracked since
647Hours in CS
CSDB Rating7.5 StrongPositional Player
Premier CS Rating20,445Top 50% of 201,197 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)
CSDB Leaderboard#73578 of 248024 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 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: 20,445 +5,323 19 Aug – 2 Oct · 28 days played
15,12222,216peak 22,21619 Aug2 Oct
22,339Peak Premier in tracked matches
27Days played since 2026-08-19

Premier CS Rating

  • 1,771 below peak (22,216)
  • +4,133 over 30 days · improving
  • Next: Red band at 25,000 — 4,555 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches62——
Win rate63%——
K/D1.50——
Headshot %42%——

Measured 4 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.4%46.9%49.2%5.9% short
Shot accuracy0.0%13.0%13.4%13.4% short
Kill/death ratio1.301.081.12above
Match win rate52.7%46.7%48.5%above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGYour WET DreamPREMIER20,445 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning78
Utility51

0–100 skill scores via Leetify.

Recent form

COLD56–39–5Last 10056%Win rateLWLTLLLLLW

Last 10 vs previous 10: −50pp win rate · −0.09 avg rating · +0.5pp headshot accuracy · +25ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 524ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 512ms

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 (+1.4 against its own average).

Aim8.3
Utility5.1
Positioning7.8
Opening Duels6.2

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

donk

Plays most like donk 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 74% 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 74% on T to 56% on CT — first contacts on the defending side are being lost.

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

Aim8.3
Positioning7.8
Utility5.1
Mechanics7.4
Opening Duels8.3
Win Impact6.2

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time498ms−62ms
first ⅓ avg 561ms → last ⅓ avg 498ms
Headshot accuracy15.8%+1.3%
first ⅓ avg 14.5% → last ⅓ avg 15.8%

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

0.32Best match rating · 13–3 · inferno, 31 Aug →
32%Best headshot accuracy · 11–13 · mirage, 26 Aug →
367msFastest reaction time · 11–13 · ancient, 15 Sept →
13–1Biggest win · dust2, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 69% over 16ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%0.04
infernoS1611–569%0.08
cacheA149–564%0.04
nukeB126–650%0.06
anubisA127–558%0.07
ancientC125–742%0.02
mirageB115–645%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,104Lifetime kills
1.30K/D · Top 25% of Pink band
1,574Matches
52.7%Match win rate · Top 25% of Pink band
43.4%Headshot %
0.0%Shot accuracy
4,632MVPs
647Hours (in match)
2,008Bombs planted
496Bombs defused

Most-used weapons

Lifetime map wins

3,856dust2
2,334inferno
1,906nuke
589train
274vertigo
268office
43italy
13aztec

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.

16.2%Headshot accuracy
38.9%Accuracy (enemy spotted)
36.7%Spray accuracy
83.2%Counter-strafing
9.1°Preaim
499msReaction time
74.4%T opening success
56.2%CT opening success
0.61Enemies flashed / flash
7.1%Flash assists
7.46HE damage / grenade
6.04Flashes / match

Recommended for you

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–130.0323%2 Oct →
mirage13–4-0.036%2 Oct →
dust29–13-0.0417%2 Oct →
mirage15–15-0.0825%1 Oct →
nuke11–130.0029%1 Oct →
nuke13–16-0.0416%1 Oct →
dust210–13-0.0322%1 Oct →
nuke2–13-0.018%1 Oct →
anubis10–130.028%30 Sept →
inferno16–140.0310%30 Sept →
mirage9–130.1019%29 Sept →
anubis13–60.0211%28 Sept →
cache13–80.039%28 Sept →
cache13–90.0313%24 Sept →
dust213–70.1423%24 Sept →
inferno7–130.0525%24 Sept →
nuke13–40.2213%24 Sept →
cache13–110.0420%24 Sept →
mirage13–110.1015%23 Sept →
dust211–130.0610%23 Sept →
nuke13–40.139%22 Sept →
dust215–150.0814%22 Sept →
inferno13–30.0218%22 Sept →
dust213–100.0512%21 Sept →
ancient4–13-0.0118%21 Sept →
ancient12–16-0.0321%21 Sept →
inferno13–70.0713%20 Sept →
ancient13–80.1915%20 Sept →
cache5–130.0619%20 Sept →
dust213–7-0.0520%20 Sept →
cache9–130.0712%19 Sept →
anubis16–120.0612%19 Sept →
inferno11–130.1015%18 Sept →
inferno16–140.179%18 Sept →
anubis13–90.1214%18 Sept →
dust213–40.0722%18 Sept →
inferno13–40.108%17 Sept →
anubis13–60.1311%17 Sept →
nuke7–130.0116%17 Sept →
anubis1–8-0.0114%17 Sept →
cache13–40.0716%17 Sept →
ancient13–50.119%17 Sept →
mirage13–90.0811%17 Sept →
ancient5–13-0.160%16 Sept →
dust216–130.0810%16 Sept →
nuke13–80.1113%15 Sept →
cache13–70.059%15 Sept →
inferno13–100.0616%15 Sept →
ancient11–130.0214%15 Sept →
ancient1–60.013%15 Sept →
mirage8–13-0.0615%15 Sept →
dust213–70.019%15 Sept →
inferno13–70.038%14 Sept →
dust213–110.0514%14 Sept →
anubis13–30.0816%5 Sept →
mirage4–130.0123%5 Sept →
dust211–130.0213%1 Sept →
ancient4–130.043%1 Sept →
dust213–20.2113%1 Sept →
ancient13–11-0.0816%1 Sept →
mirage8–13-0.098%1 Sept →
inferno15–150.089%31 Aug →
inferno13–30.3217%31 Aug →
ancient7–13-0.0724%31 Aug →
inferno10–13-0.0319%31 Aug →
nuke13–5-0.0323%30 Aug →
dust213–40.0527%30 Aug →
dust213–10.0625%30 Aug →
anubis13–16-0.0310%30 Aug →
dust24–130.0116%28 Aug →
dust213–5-0.1013%27 Aug →
mirage8–1-0.0325%27 Aug →
dust29–130.0818%27 Aug →
anubis13–100.1416%26 Aug →
nuke5–130.1213%26 Aug →
dust213–60.2016%26 Aug →
mirage13–7-0.0423%26 Aug →
dust215–15-0.0713%26 Aug →
mirage11–13-0.0532%26 Aug →
cache7–130.0313%24 Aug →
nuke15–150.0913%24 Aug →
inferno8–130.0312%24 Aug →
cache13–10-0.0511%24 Aug →
cache5–13-0.0815%24 Aug →
dust211–13-0.076%24 Aug →
anubis11–130.1317%21 Aug →
cache13–10.068%21 Aug →
inferno13–70.1619%21 Aug →
cache13–60.178%21 Aug →
nuke16–140.0816%21 Aug →
dust211–130.0813%21 Aug →
ancient13–50.0917%20 Aug →
nuke13–30.0511%20 Aug →
anubis7–130.1013%20 Aug →
anubis13–70.0712%20 Aug →
ancient13–100.0811%20 Aug →
dust213–60.1116%20 Aug →
inferno13–50.058%20 Aug →
cache16–120.0514%19 Aug →
inferno13–50.0410%19 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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