DeadWoman †

DeadWoman † — CS2 Stats

PL76561198980961327[U:1:1020695599]Steam profile ↗✓ No bans

1,113Tracked matches50%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
CSDB Leaderboard#60130 of 251327 tracked
FaceitLevel 9 · 1,454 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,553 -872 11 Feb – 24 Jun · 20 days played
21,24725,000peak 25,00011 Feb24 Jun
25,560Peak Premier in tracked matches
1,454Highest Faceit ELO seen on CSDB
57Days played since 2026-02-11

Faceit ELO

  • At peak — 1,454
  • Next: Level 8 at 1,531 — 77 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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

Share this profile

CSDB.GGDeadWoman †FACEITLevel 9 · 1,454 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,454csdb.gg/stats

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Performance scores

Aim91
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLLWLLWLLLW

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · −0.2pp headshot accuracy · +14ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 565ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 552ms

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).

Aim9.1
Utility5.3
Positioning5.8
Opening Duels2.7
Clutch3.6

Sharp aimerExcellent counter-strafing

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 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Reaction time. 564ms 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

Aim9.1
Positioning5.8
Utility5.3
Mechanics8.9
Opening Duels2.3
Win Impact5.0

Composite 6.1/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time565ms−67ms
first ⅓ avg 632ms → last ⅓ avg 565ms
Headshot accuracy20.7%+1.6%
first ⅓ avg 19.1% → last ⅓ avg 20.7%

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 · 9–6 · debris, 16 Sept →
49%Best headshot accuracy · 13–7 · dust2, 14 Apr →
438msFastest reaction time · 0–4 · inferno, 23 Sept →
13–2Biggest win · anubis, 10 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 75% over 12nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%0.02
mirageA2012–860%-0.01
ancientB136–746%0.00
anubisS129–375%0.01
cacheD113–827%0.01
infernoD93–633%-0.01
nukeD61–517%-0.02
overpass—31–233%-0.07
vertigo—10–10%-0.03
debris—11–0100%0.18
boulder—11–0100%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

558Matches
52%Win rate
1.07Avg K/D
71.8ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13549%1.0414.1
Anubis8158%1.0013.5
Dust28055%1.0715.2
Ancient6641%0.9613.9
Vertigo3962%1.1516.3
Inferno3047%0.9412.6
Cache2839%1.1516.1
Nuke1136%0.6611.7

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.

20.8%Headshot accuracy
39.6%Accuracy (enemy spotted)
45.2%Spray accuracy
90.3%Counter-strafing
8.6°Preaim
564msReaction time
36.3%T opening success
42.2%CT opening success
0.59Enemies flashed / flash
4.4%Flash assists
9.07HE damage / grenade
8.42Flashes / 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

    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 36.3048% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo6–9-0.0325%11 Oct →
anubis5–13-0.0121%28 Sept →
mirage13–10-0.0318%27 Sept →
dust210–13-0.009%27 Sept →
nuke14–160.0114%27 Sept →
anubis13–7-0.0417%27 Sept →
cache10–13-0.0221%25 Sept →
dust29–130.0131%25 Sept →
inferno0–4-0.0411%23 Sept →
anubis13–100.0324%21 Sept →
dust211–130.039%18 Sept →
debris9–60.1816%16 Sept →
mirage13–6-0.0426%14 Sept →
mirage13–40.0817%12 Sept →
anubis13–30.1536%9 Sept →
cache17–19-0.0418%8 Sept →
anubis13–110.0317%8 Sept →
mirage9–13-0.0415%8 Sept →
boulder13–110.0321%4 Sept →
mirage13–100.0118%3 Sept →
dust29–13-0.0120%3 Sept →
dust213–100.0625%31 Aug →
cache4–13-0.0213%21 Aug →
cache13–40.1327%21 Aug →
ancient10–130.0131%14 Aug →
ancient13–70.0731%14 Aug →
dust28–130.1125%3 Aug →
ancient13–10-0.067%3 Aug →
dust211–13-0.0030%11 Jul →
dust213–7-0.0218%6 Jul →
mirage13–10-0.0233%24 Jun →
dust28–13-0.0124%14 Jun →
anubis13–11-0.0016%12 Jun →
inferno5–130.0029%12 Jun →
ancient13–30.1220%11 Jun →
anubis13–2-0.0315%10 Jun →
inferno8–80.0328%10 Jun →
cache11–130.0032%9 Jun →
mirage13–110.0619%3 Jun →
cache9–13-0.0026%28 May →
inferno9–40.0317%27 May →
overpass5–9-0.140%27 May →
cache13–8-0.0329%25 May →
cache8–130.0244%25 May →
cache13–60.0529%20 May →
cache6–13-0.0119%11 May →
cache12–12-0.0229%10 May →
dust213–60.0827%6 May →
mirage4–13-0.0528%20 Apr →
inferno8–13-0.0321%20 Apr →
nuke8–80.0110%20 Apr →
nuke7–13-0.0447%16 Apr →
dust213–7-0.0024%16 Apr →
anubis10–13-0.0623%16 Apr →
dust213–70.0449%14 Apr →
mirage14–16-0.0034%11 Apr →
mirage11–130.0317%30 Mar →
ancient13–160.0323%29 Mar →
anubis13–11-0.0222%24 Mar →
inferno8–80.0510%22 Mar →
dust213–90.1019%19 Mar →
mirage12–16-0.0428%15 Mar →
mirage12–16-0.0332%11 Mar →
ancient3–13-0.0720%9 Mar →
ancient10–13-0.0126%9 Mar →
inferno13–7-0.0317%9 Mar →
dust23–13-0.0531%9 Mar →
dust213–3-0.0213%9 Mar →
inferno4–9-0.1414%5 Mar →
dust26–13-0.0711%1 Mar →
overpass6–13-0.0120%1 Mar →
mirage13–11-0.0626%1 Mar →
dust213–11-0.0026%1 Mar →
ancient4–13-0.0523%27 Feb →
ancient9–13-0.0020%27 Feb →
mirage13–60.0211%27 Feb →
overpass16–13-0.0711%27 Feb →
nuke13–4-0.0633%24 Feb →
anubis13–90.0315%24 Feb →
mirage8–13-0.0411%24 Feb →
ancient13–80.0519%24 Feb →
inferno13–100.0218%23 Feb →
mirage13–80.0222%23 Feb →
nuke10–13-0.0415%23 Feb →
mirage13–30.0526%23 Feb →
dust213–70.0420%22 Feb →
nuke10–130.0119%22 Feb →
ancient13–9-0.0319%22 Feb →
dust213–40.0012%22 Feb →
mirage13–4-0.0332%22 Feb →
ancient8–13-0.0714%17 Feb →
dust213–100.0738%17 Feb →
anubis13–30.0917%16 Feb →
dust213–30.1019%13 Feb →
ancient13–70.0626%13 Feb →
mirage13–4-0.0013%12 Feb →
dust29–13-0.0116%12 Feb →
dust24–13-0.075%12 Feb →
anubis5–13-0.0323%12 Feb →
mirage11–130.0125%11 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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