estrogen baddie

estrogen baddie — CS2 Stats

76561199846554388[U:1:1886288660]Steam profile ↗✓ No bans

581Tracked matches37%Win rate2026Tracked since
412Hours in CS19Hrs last 2 wks
CSDB Rating1.3 LearningSupport
Premier CS Rating1,520Grey band · top ~93.6% of ranked players (population est.)
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (5 days ago). 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: 1,520 +456 6 Sept – 9 Nov · 13 days played
1,0001,885peak 1,8856 Sept9 Nov
1,885Peak Premier in tracked matches
34Days played since 2026-09-06

Premier CS Rating

  • 365 below peak (1,885)
  • +520 over 30 days · improving
  • Next: Light Blue band at 5,000 — 3,480 to go

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate37.6%38.2%39.9%2.3% short
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.560.830.920.36 short
Match win rate36.7%40.2%42.3%5.6% short

This profile sits below the typical Light Blue band player on every metric we can compare.

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

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CSDB.GGestrogen baddiePREMIER1,520 · Grey bandcsdb.gg/stats

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Performance scores

Aim10
Positioning21
Utility40

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateLLLLWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.5pp headshot accuracy · −57ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 636ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 605ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 633ms

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 (+2 against its own average).

Aim1.0
Utility4.0
Positioning2.1
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.

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 60% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 737ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.0
Positioning2.1
Utility4.0
Mechanics0.2
Opening Duels0.0
Win Impact0.6

Composite 1.3/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time714ms−86ms
first ⅓ avg 800ms → last ⅓ avg 714ms
Headshot accuracy11.1%−6.6%
first ⅓ avg 17.7% → last ⅓ avg 11.1%

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

0.20Best match rating · 9–1 · eldorado, 8 Nov →
100%Best headshot accuracy · 0–5 · anubis, 14 Oct →
203msFastest reaction time · 0–3 · vertigo, 10 Nov →
13–0Biggest win · vertigo, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
5–1In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 71% over 7ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
vertigoC176–1135%-0.05
anubisD134–931%-0.07
cacheB126–650%-0.04
mirageB84–450%-0.05
poseidonA85–363%-0.04
ancientD82–625%-0.04
officeA74–357%0.00
nukeS75–271%-0.04
dust2D72–529%-0.06
overpassC52–340%-0.06
infernoC52–340%-0.05
eldorado—22–0100%0.14
italy—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,924Lifetime kills
0.56K/D
665Matches
36.7%Match win rate
37.6%Headshot %
0.0%Shot accuracy
743MVPs
268Hours (in match)
445Bombs planted
81Bombs defused

Most-used weapons

Lifetime map wins

819dust2
699nuke
694inferno
669vertigo
240office
107train
19italy
4ar_shoots

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.

11.5%Headshot accuracy
23.1%Accuracy (enemy spotted)
30.4%Spray accuracy
51.1%Counter-strafing
10.3°Preaim
737msReaction time
18.9%T opening success
18.1%CT opening success
0.47Enemies flashed / flash
1.7%Flash assists
8.37HE damage / grenade
17.36Flashes / 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 11.5484% — 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 736.8976ms — 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 0.4738 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office4–13-0.0213%11 Nov →
anubis6–13-0.089%11 Nov →
anubis2–13-0.0233%11 Nov →
anubis8–13-0.099%11 Nov →
vertigo13–9-0.070%10 Nov →
nuke1–13-0.110%10 Nov →
dust213–5-0.0412%10 Nov →
overpass0–13-0.0810%10 Nov →
mirage13–5-0.0815%10 Nov →
vertigo0–30.010%10 Nov →
mirage1–13-0.0513%9 Nov →
dust211–13-0.1217%9 Nov →
poseidon8–8-0.0719%8 Nov →
poseidon8–8-0.1018%8 Nov →
poseidon9–7-0.039%8 Nov →
poseidon9–30.0724%8 Nov →
poseidon3–9-0.180%8 Nov →
eldorado9–10.2030%8 Nov →
vertigo6–9-0.039%8 Nov →
vertigo4–9-0.070%8 Nov →
nuke13–9-0.048%7 Nov →
cache13–6-0.024%7 Nov →
anubis13–9-0.019%7 Nov →
ancient9–13-0.0037%7 Nov →
anubis13–3-0.019%7 Nov →
anubis13–5-0.050%7 Nov →
mirage12–2-0.0720%7 Nov →
ancient2–7-0.000%5 Nov →
vertigo10–13-0.089%5 Nov →
nuke5–13-0.0910%4 Nov →
overpass13–11-0.077%4 Nov →
inferno3–13-0.110%3 Nov →
vertigo6–13-0.0315%3 Nov →
dust25–13-0.0117%3 Nov →
office13–7-0.020%1 Nov →
inferno1–10-0.0717%30 Oct →
vertigo8–13-0.0111%24 Oct →
cache1–13-0.0624%24 Oct →
dust21–8-0.059%20 Oct →
office3–110.000%20 Oct →
ancient2–13-0.089%16 Oct →
eldorado9–40.0817%16 Oct →
anubis6–13-0.068%15 Oct →
inferno13–8-0.0513%14 Oct →
overpass12–12-0.0812%14 Oct →
ancient13–7-0.0321%14 Oct →
anubis0–5-0.13100%14 Oct →
office13–10.0116%14 Oct →
inferno13–5-0.0321%13 Oct →
dust213–5-0.0411%13 Oct →
nuke9–2-0.0814%12 Oct →
cache10–30.0820%11 Oct →
dust25–13-0.074%11 Oct →
cache3–9-0.099%10 Oct →
ancient3–13-0.086%10 Oct →
mirage13–9-0.0012%6 Oct →
vertigo8–13-0.1221%5 Oct →
cache13–20.0411%5 Oct →
anubis2–13-0.080%5 Oct →
overpass13–5-0.070%5 Oct →
inferno15–15-0.0012%5 Oct →
office13–80.0311%2 Oct →
vertigo0–13-0.0513%30 Sept →
cache7–13-0.0511%30 Sept →
office2–120.0117%29 Sept →
ancient13–7-0.0513%29 Sept →
poseidon9–3-0.166%29 Sept →
anubis6–13-0.0710%29 Sept →
anubis13–2-0.1122%28 Sept →
mirage6–3-0.0510%28 Sept →
italy3–13-0.0922%27 Sept →
office13–30.016%27 Sept →
ancient5–12-0.0529%27 Sept →
vertigo3–9-0.1610%26 Sept →
vertigo9–70.1012%26 Sept →
vertigo9–6-0.0324%26 Sept →
poseidon9–50.0426%26 Sept →
cache13–11-0.1213%26 Sept →
vertigo1–9-0.0933%24 Sept →
vertigo13–00.1233%24 Sept →
nuke9–7-0.0818%24 Sept →
nuke9–60.094%24 Sept →
mirage2–13-0.080%24 Sept →
poseidon9–50.079%24 Sept →
dust21–12-0.0611%24 Sept →
mirage4–13-0.0618%23 Sept →
vertigo13–10-0.0712%23 Sept →
vertigo13–7-0.0321%23 Sept →
nuke13–20.019%22 Sept →
cache0–6-0.02100%22 Sept →
overpass12–12-0.023%22 Sept →
cache13–10-0.0412%21 Sept →
anubis5–13-0.0812%19 Sept →
cache13–7-0.0415%19 Sept →
mirage7–13-0.0215%19 Sept →
cache1–12-0.0321%18 Sept →
vertigo3–9-0.1920%18 Sept →
cache7–13-0.1015%18 Sept →
ancient10–13-0.0318%17 Sept →
anubis6–13-0.110%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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