❤ QueeenX1❤

❤ QueeenX1❤ — CS2 Stats

76561198375536199[U:1:415270471]Steam profile ↗

1,754Tracked matches43%Win rate2020Tracked since
3,927Hours in CS13Hrs last 2 wks
CSDB Rating2.0 Learning
WingmanSilver II
Ladder ranks via Leetify

Performance scores

Aim11
Positioning17
Utility19

0–100 skill scores via Leetify.

Recent form

COLD4753Last 10047%Win rateLWLLWLLWLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

Aim1.1
Aggression0.0
Utility1.9
Positioning1.7
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 52% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower aim 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

Reaction time. 780ms 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

Aim1.1
Positioning1.7
Utility1.9
Mechanics5.0
Opening Duels0.0
Win Impact2.8

Composite 2.0/10 (Learning), 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-0.06+0.00
first ⅓ avg -0.07 → last ⅓ avg -0.06
Reaction time778ms+11ms
first ⅓ avg 767ms → last ⅓ avg 778ms
Headshot accuracy12.5%+1.8%
first ⅓ avg 10.7% → last ⅓ avg 12.5%

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.

Highlights

0.09Best rating — inferno 5–3
132Biggest win — cache
8Longest win streak
610In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 54% over 26vertigoWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB26141254%-0.07
vertigoC2071335%-0.06
cacheB168850%-0.06
infernoB158753%-0.06
dust2C83538%-0.07
ancientC52340%-0.06
nuke31233%-0.10
anubis32167%-0.05
train32167%-0.08
overpass1010%-0.08

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,995Lifetime kills
0.48K/D
4,613Matches
39.7%Match win rate
36.0%Headshot %
9.1%Shot accuracy
4,664MVPs
1,876Hours (in match)
6,320Bombs planted
652Bombs defused

Most-used weapons

Lifetime map wins

7,230inferno
5,883dust2
3,941vertigo
1,747nuke
806cbble
447train
65lake
42office

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
25.1%Accuracy (enemy spotted)
30.8%Spray accuracy
72.7%Counter-strafing
14.9°Preaim
780msReaction time
8.8%T opening success
10.6%CT opening success
0.48Enemies flashed / flash
1.8%Flash assists
3.75HE damage / grenade
2.09Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.8974° — above the 12° mark we flag

    Aim Training
  2. 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 12.8998% — below the 15% mark we flag

    Aim Training
  3. 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 780.1847ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Vertigo

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo9–13-0.0413%20 Aug
ancient13–8-0.0613%20 Aug
mirage4–13-0.088%20 Aug
dust27–13-0.0628%19 Aug
cache13–8-0.0610%19 Aug
inferno1–13-0.119%19 Aug
nuke0–9-0.110%18 Aug
inferno5–30.0911%18 Aug
cache5–130.0220%18 Aug
ancient11–13-0.099%16 Aug
mirage8–13-0.0917%16 Aug
mirage13–8-0.1021%16 Aug
vertigo8–13-0.103%16 Aug
dust211–13-0.1022%16 Aug
dust25–13-0.098%16 Aug
inferno6–13-0.107%16 Aug
inferno16–12-0.0615%13 Aug
inferno15–9-0.015%12 Aug
vertigo13–11-0.0510%9 Aug
inferno13–8-0.085%23 Jul
cache11–13-0.0615%23 Jul
anubis19–17-0.0710%22 Jul
dust25–13-0.0219%22 Jul
mirage13–8-0.0510%15 Jul
inferno13–8-0.042%15 Jul
mirage13–3-0.0213%23 Jun
cache13–9-0.1121%23 Jun
mirage4–13-0.0521%23 Jun
mirage13–11-0.0514%13 Jun
vertigo12–16-0.1012%13 Jun
inferno3–13-0.0622%13 Jun
mirage6–13-0.109%13 Jun
dust213–6-0.049%13 Jun
mirage13–4-0.057%13 Jun
ancient14–16-0.063%13 Jun
vertigo8–13-0.1111%10 Jun
train16–13-0.0633%10 Jun
mirage13–3-0.0615%10 Jun
cache7–13-0.083%7 Jun
vertigo7–13-0.0315%7 Jun
mirage8–13-0.040%6 Jun
cache13–9-0.079%6 Jun
mirage14–16-0.1212%4 Jun
vertigo11–13-0.054%3 Jun
mirage14–16-0.0310%3 Jun
mirage5–13-0.059%2 Jun
vertigo4–13-0.0420%2 Jun
train11–13-0.1013%1 Jun
cache6–13-0.129%31 May
mirage13–8-0.0910%31 May
vertigo19–16-0.079%30 May
cache16–12-0.078%30 May
mirage11–13-0.0711%30 May
mirage8–13-0.079%30 May
cache5–13-0.049%30 May
vertigo9–13-0.078%30 May
overpass6–13-0.0824%30 May
vertigo13–5-0.0517%30 May
inferno13–5-0.1013%29 May
nuke9–13-0.0913%29 May
mirage13–10-0.0831%29 May
dust213–9-0.0423%29 May
mirage8–1-0.0217%29 May
vertigo11–13-0.090%29 May
vertigo6–13-0.1023%29 May
dust25–13-0.096%28 May
nuke13–5-0.109%28 May
inferno2–13-0.130%28 May
mirage13–11-0.0910%28 May
cache13–9-0.0737%28 May
mirage13–11-0.087%28 May
vertigo13–5-0.0719%27 May
cache8–13-0.065%27 May
ancient22–25-0.0911%27 May
cache13–10-0.045%27 May
cache13–20.0525%27 May
cache8–0-0.130%27 May
mirage13–8-0.0113%26 May
inferno13–8-0.0615%26 May
vertigo13–9-0.0518%26 May
mirage13–10-0.098%26 May
vertigo13–8-0.0510%25 May
vertigo10–13-0.049%25 May
vertigo9–13-0.047%25 May
mirage13–9-0.0513%25 May
inferno10–13-0.093%25 May
vertigo10–13-0.067%25 May
mirage7–13-0.0816%24 May
inferno3–13-0.066%23 May
ancient13–6-0.019%23 May
cache6–13-0.117%23 May
train13–6-0.0811%23 May
anubis6–13-0.0926%23 May
vertigo13–3-0.058%23 May
anubis13–50.025%23 May
mirage8–13-0.108%23 May
inferno2–13-0.119%23 May
cache10–13-0.1011%23 May
inferno13–8-0.047%23 May
dust213–8-0.1010%23 May

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 →