wtp'n | Queen ♛

wtp'n | Queen ♛ — CS2 Stats

CA76561198277257311[U:1:316991583]Steam profile ↗✓ No bans

2,175Tracked matches20%Win rate2020Tracked since
4,296Hours in CS18Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating3,412Grey band · top ~85.5% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−581Premier CS Rating · 3,993 → 3,412
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 25 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 3,412 +109 25 Jun20 Sept · 23 days played
3,3035,183peak 5,18325 Jun20 Sept
5,412Peak Premier in tracked matches
30Days played since 2026-06-25

Premier CS Rating

  • 1,771 below peak (5,183)
  • -906 over 30 days · declining
  • +109 over 90 days
  • Next: Light Blue band at 5,000 1,588 to go
  • Reached: 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 Level 1 among CSDB-tracked players (n=2,067), 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 playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate34.8%41.0%41.3%6.5% short
Shot accuracy20.0%14.2%12.6%above
Kill/death ratio0.710.950.950.24 short
Match win rate37.0%42.2%42.5%5.5% short

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwtp'n | Queen ♛FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER3,412 · Grey 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

Aim66
Positioning48
Utility5

0–100 skill scores via Leetify.

Recent form

COLD38611Last 10038%Win rateLLLLLLLLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −3.1pp headshot accuracy · −16ms 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

  • 05 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 7%
  • Avg reaction 687ms

Last 10

  • 010 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 705ms

Last 20

  • 515 · 25% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 713ms

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 PlayerPositioning stands above the rest of this profile (+3 against its own average).

Aim6.6
Utility0.5
Positioning4.8
Opening Duels1.8
Clutch0.0

Strong CT-side openerLimited 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

ropz

Plays most like ropz 76% 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

Areas to improve

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

T-side openings. Opening success drops from 50% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 714ms 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

Aim6.6
Positioning4.8
Utility0.5
Mechanics6.5
Opening Duels2.4
Win Impact0.0

Composite 3.8/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time701ms−64ms
first ⅓ avg 765ms → last ⅓ avg 701ms
Headshot accuracy10.1%−1.0%
first ⅓ avg 11.0% → last ⅓ avg 10.1%

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

0.13Best match rating · 13–5 · cache, 25 Aug
38%Best headshot accuracy · 4–13 · nuke, 25 Jun
500msFastest reaction time · 0–13 · anubis, 24 Aug
13–0Biggest win · mirage, 18 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
L12Current streak
63In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 60% over 15infernoWeakest map · 13% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB23121152%0.01
nukeC2191243%0.00
infernoD1621413%-0.03
dust2A159660%0.00
ancientD1531220%-0.02
anubis4040%-0.03
cache43175%0.03
vertigo1010%-0.08
overpass1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,569Lifetime kills
0.71K/D
5,511Matches
37.0%Match win rate
34.8%Headshot %
20.0%Shot accuracy · Top 10% of Level 1 players
7,298MVPs
2,143Hours (in match)
5,328Bombs planted
715Bombs defused

Most-used weapons

SG 55313,341
AUG12,822
AWP9,909
AK-476,671
SCAR-201,662

Lifetime map wins

24,963dust2
3,357inferno
2,611nuke
1,563vertigo
657train
437lake
325office
214cbble

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

Faceit stats

Combat

374Matches
45%Win rate
0.64Avg K/D
108.0ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

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.

10.4%Headshot accuracy
44.9%Accuracy (enemy spotted)
43.8%Spray accuracy
79.2%Counter-strafing
10.7°Preaim
714msReaction time
20.9%T opening success
49.6%CT opening success
0.16Enemies flashed / flash
4.2%Flash assists
0.19HE damage / grenade
1.07Flashes / 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 10.3708% — 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 713.5832ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.1571 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo10–13-0.0814%20 Sept
inferno1–13-0.077%20 Sept
nuke5–130.064%20 Sept
mirage5–13-0.033%20 Sept
anubis9–130.008%20 Sept
mirage9–13-0.017%19 Sept
inferno4–13-0.075%19 Sept
dust29–13-0.0113%19 Sept
ancient6–13-0.0010%17 Sept
nuke9–130.048%16 Sept
mirage4–13-0.0417%16 Sept
ancient10–130.0114%16 Sept
mirage13–11-0.016%16 Sept
dust29–130.0315%16 Sept
cache13–9-0.0010%16 Sept
mirage13–30.0810%16 Sept
nuke13–16-0.056%15 Sept
inferno2–130.020%8 Sept
dust216–140.1022%7 Sept
nuke13–80.0410%7 Sept
inferno9–13-0.035%7 Sept
ancient9–130.048%7 Sept
nuke13–50.0816%7 Sept
inferno0–5-0.0117%7 Sept
mirage4–13-0.064%7 Sept
ancient4–130.0210%6 Sept
inferno8–13-0.029%6 Sept
dust28–13-0.0722%3 Sept
ancient2–130.0215%3 Sept
nuke8–130.0314%3 Sept
mirage13–3-0.025%3 Sept
nuke11–13-0.0311%1 Sept
dust213–2-0.039%1 Sept
dust213–40.0817%1 Sept
inferno6–13-0.053%31 Aug
mirage6–13-0.024%31 Aug
mirage13–70.056%31 Aug
nuke13–50.050%31 Aug
cache6–13-0.0211%31 Aug
nuke13–160.019%30 Aug
dust27–13-0.0316%30 Aug
nuke5–13-0.074%29 Aug
ancient6–130.018%29 Aug
dust213–8-0.0410%29 Aug
dust28–130.0317%28 Aug
mirage2–130.0119%28 Aug
inferno5–13-0.0218%25 Aug
ancient4–13-0.076%25 Aug
cache13–50.1311%25 Aug
inferno13–10.0914%25 Aug
mirage13–5-0.080%25 Aug
mirage13–100.0410%25 Aug
inferno6–13-0.0812%25 Aug
mirage13–100.068%24 Aug
ancient13–10-0.0123%24 Aug
mirage11–130.0210%24 Aug
anubis0–13-0.0610%24 Aug
ancient16–12-0.034%24 Aug
cache13–8-0.0112%24 Aug
nuke13–20.0811%24 Aug
ancient10–13-0.0510%24 Aug
inferno7–13-0.0613%24 Aug
anubis6–13-0.007%22 Aug
inferno9–130.0116%19 Aug
dust210–4-0.0310%18 Aug
mirage7–13-0.0121%18 Aug
ancient11–13-0.0912%18 Aug
mirage13–00.136%18 Aug
mirage10–130.0415%18 Aug
ancient5–130.016%15 Aug
dust29–130.0513%15 Aug
anubis1–13-0.0810%15 Aug
nuke8–2-0.059%15 Aug
mirage13–160.0212%6 Aug
nuke6–130.0013%6 Aug
dust213–3-0.0311%6 Aug
nuke7–13-0.0514%6 Aug
ancient13–16-0.0112%31 Jul
nuke13–80.117%31 Jul
inferno13–100.039%20 Jul
mirage13–40.0226%20 Jul
nuke16–14-0.019%13 Jul
nuke7–13-0.0417%13 Jul
inferno4–130.0219%13 Jul
dust213–6-0.020%9 Jul
dust213–10.014%9 Jul
ancient7–13-0.0714%9 Jul
mirage13–11-0.053%1 Jul
inferno6–9-0.124%1 Jul
mirage13–100.0313%29 Jun
ancient13–11-0.058%28 Jun
inferno1–13-0.083%28 Jun
nuke13–50.0510%28 Jun
overpass12–12-0.047%26 Jun
nuke16–13-0.049%26 Jun
mirage13–50.074%25 Jun
dust213–11-0.0318%25 Jun
mirage10–130.0611%25 Jun
nuke4–13-0.0538%25 Jun
nuke6–9-0.1010%25 Jun

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 →