muscle "woman"

muscle "woman" — CS2 Stats

76561199572001579[U:1:1611735851]Steam profile ↗✓ No bans

469Tracked matches40%Win rate2023Tracked since
CSDB Rating5.5 SolidSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 14,999 -540 16 Sept – 10 Nov · 3 days played
14,99915,539peak 15,53916 Sept10 Nov
15,539Peak Premier in tracked matches
57Days played since 2025-08-27

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

Performance scores

Aim68
Positioning52
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWLWLWLLWWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +2.0pp headshot accuracy · −73ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 522ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 514ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 550ms

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 (+1.8 against its own average).

Aim6.8
Utility6.5
Positioning5.2
Opening Duels2.4

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.8
Positioning5.2
Utility6.5
Mechanics7.0
Opening Duels2.1
Win Impact1.7

Composite 5.5/10 (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 rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time547ms−27ms
first ⅓ avg 574ms → last ⅓ avg 547ms
Headshot accuracy11.9%+0.2%
first ⅓ avg 11.7% → last ⅓ avg 11.9%

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

0.19Best match rating · 13–2 · dust2, 3 Jan →
30%Best headshot accuracy · 13–8 · mirage, 25 Aug →
391msFastest reaction time · 4–13 · inferno, 5 Feb →
13–1Biggest win · dust2, 13 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 60% over 5officeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC135–838%0.01
vertigoB126–650%0.03
dust2C125–742%0.03
anubisD113–827%0.00
mirageD93–633%0.02
officeD82–625%0.03
nukeB84–450%0.05
trainB63–350%0.03
overpassA53–260%0.03
cache—41–325%0.01
ancient—43–175%0.05
palacio—22–0100%0.03
sanctum—10–10%0.00
alpine—11–0100%0.06
italy—11–0100%0.04
rooftop—10–10%-0.20
golden—10–10%-0.08
grail—10–10%-0.05

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.2%Headshot accuracy
35.3%Accuracy (enemy spotted)
34.0%Spray accuracy
81.4%Counter-strafing
9.7°Preaim
528msReaction time
38.6%T opening success
38.4%CT opening success
0.70Enemies flashed / flash
6.9%Flash assists
16.42HE damage / grenade
11.20Flashes / 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 12.2008% — below the 15% mark we flag

    Aim Training →
  2. 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 38.5858% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–110.0416%21 Oct →
vertigo10–13-0.0116%21 Oct →
anubis13–3-0.015%2 Oct →
office8–13-0.055%25 Sept →
anubis13–60.0113%25 Sept →
inferno11–13-0.0416%24 Sept →
inferno3–130.0315%25 Aug →
mirage13–80.0430%25 Aug →
vertigo11–8-0.009%25 Aug →
cache11–130.0421%21 Aug →
nuke6–9-0.016%7 Jun →
inferno11–30.069%7 Jun →
dust20–13-0.0715%5 Jun →
office4–13-0.0019%13 May →
cache10–130.019%13 May →
anubis7–130.079%8 May →
nuke13–50.1219%3 May →
cache5–130.024%1 May →
nuke6–90.0523%1 May →
mirage13–100.0515%30 Apr →
cache13–4-0.032%29 Apr →
dust213–100.0610%25 Apr →
train5–130.0115%24 Apr →
inferno13–100.065%24 Apr →
nuke10–130.0611%24 Apr →
nuke13–40.0519%24 Apr →
inferno3–13-0.024%19 Apr →
sanctum5–90.006%14 Apr →
inferno9–60.0414%14 Apr →
vertigo9–40.1512%14 Apr →
vertigo7–13-0.005%11 Apr →
office6–130.0512%11 Apr →
nuke9–70.067%11 Apr →
dust28–130.0212%8 Apr →
anubis4–130.0711%30 Mar →
dust28–130.0212%22 Mar →
anubis1–13-0.090%20 Mar →
mirage7–130.0718%19 Mar →
office7–13-0.0112%19 Mar →
mirage8–130.0512%14 Mar →
overpass9–13-0.0220%13 Mar →
dust213–10.0814%13 Mar →
anubis1–13-0.0115%13 Mar →
ancient13–100.0312%6 Mar →
nuke13–30.0211%6 Mar →
inferno11–13-0.170%4 Mar →
train13–60.019%28 Feb →
vertigo12–00.019%27 Feb →
train1–130.0013%27 Feb →
dust27–13-0.034%22 Feb →
dust210–13-0.0117%20 Feb →
inferno3–130.039%20 Feb →
dust28–130.0116%14 Feb →
alpine13–60.0620%14 Feb →
anubis7–130.0118%14 Feb →
anubis13–80.0921%9 Feb →
vertigo6–130.1021%9 Feb →
inferno4–130.0014%5 Feb →
dust215–15-0.0214%9 Jan →
office7–130.0316%9 Jan →
dust213–20.1915%3 Jan →
office13–80.018%31 Dec →
train12–120.0311%31 Dec →
overpass9–50.0920%27 Dec →
inferno9–13-0.019%22 Dec →
vertigo13–110.0910%19 Dec →
vertigo7–9-0.0310%15 Dec →
vertigo4–9-0.106%11 Dec →
anubis1–13-0.0212%11 Dec →
ancient13–110.1414%5 Dec →
anubis1–13-0.0810%5 Dec →
italy13–20.0421%14 Nov →
vertigo13–100.0118%14 Nov →
train13–100.0014%10 Nov →
ancient13–30.0314%10 Nov →
overpass7–13-0.039%22 Oct →
palacio13–20.0013%18 Oct →
rooftop3–9-0.2013%18 Oct →
mirage0–7-0.060%18 Oct →
dust213–110.0314%18 Oct →
golden4–13-0.087%14 Oct →
palacio13–70.0510%14 Oct →
nuke10–130.0215%25 Sept →
dust213–90.0320%19 Sept →
office7–130.119%19 Sept →
overpass13–50.0411%19 Sept →
anubis7–130.0010%19 Sept →
train13–10.1510%16 Sept →
mirage13–9-0.0114%16 Sept →
mirage6–130.0016%16 Sept →
inferno13–7-0.015%9 Sept →
mirage15–150.0815%7 Sept →
overpass13–70.058%7 Sept →
inferno13–10.1310%7 Sept →
inferno10–130.023%5 Sept →
mirage5–13-0.0219%5 Sept →
grail5–13-0.0521%31 Aug →
vertigo10–130.077%27 Aug →
office13–60.0813%27 Aug →
ancient12–120.018%27 Aug →

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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