IBEATWOMEN;)

IBEATWOMEN;) — CS2 Stats

76561199552805174[U:1:1592539446]Steam profile ↗✓ No bans

2,239Tracked matches45%Win rate2023Tracked since
1,090Hours in CS
CSDB Rating5.3 DevelopingSupport
Premier CS Rating15,864Purple band · top ~25% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 15,864 +2,702 31 Aug – 16 Oct · 29 days played
13,16216,365peak 16,36531 Aug16 Oct
16,731Peak Premier in tracked matches
1,131Highest Faceit ELO seen on CSDB
29Days played since 2026-08-31

Faceit ELO

  • At peak — 1,131
  • Next: Level 6 at 1,201 — 70 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 501 below peak (16,365)
  • +1,522 over 30 days · improving
  • Next: Pink band at 20,000 — 4,136 to go
  • Reached: Purple band · Blue band · 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.4%44.3%46.9%4.5% short
Shot accuracy0.4%11.9%13.0%12.5% short
Kill/death ratio0.781.031.080.30 short
Match win rate41.9%45.2%46.7%4.8% short

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

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

Share this profile

CSDB.GGIBEATWOMEN;)PREMIER15,864 · Purple bandPEAK ELO1,131csdb.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

Aim57
Positioning56
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLWLWWLLWLL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · +3.3pp headshot accuracy · +43ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 583ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 584ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

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 (+1.4 against its own average).

Aim5.7
Utility5.8
Positioning5.6
Opening Duels3.5
Clutch2.6

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

donk

Plays most like donk 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 572ms 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

Aim5.7
Positioning5.6
Utility5.8
Mechanics5.2
Opening Duels4.4
Win Impact3.3

Composite 5.3/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time576ms+9ms
first ⅓ avg 567ms → last ⅓ avg 576ms
Headshot accuracy17.0%−0.6%
first ⅓ avg 17.5% → last ⅓ avg 17.0%

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

0.10Best match rating · 13–6 · anubis, 16 Oct →
44%Best headshot accuracy · 13–5 · dust2, 23 Sept →
406msFastest reaction time · 13–11 · dust2, 3 Oct →
13–3Biggest win · anubis, 12 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
10–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 63% over 19nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B209–1145%-0.03
anubisA1912–763%-0.03
ancientA1810–856%-0.01
nukeD134–931%-0.04
mirageB126–650%-0.04
cacheC94–544%-0.01
infernoA95–456%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,472Lifetime kills
0.78K/D
2,670Matches
41.9%Match win rate
42.4%Headshot %
0.4%Shot accuracy
4,518MVPs
1,090Hours (in match)
1,564Bombs planted
508Bombs defused

Most-used weapons

Lifetime map wins

3,663inferno
3,330dust2
3,035nuke
1,789vertigo
399train
48office
19ar_shoots
19ar_baggage

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

Faceit stats

Combat

67Matches
64%Win rate
0.76Avg K/D
69.4ADR
47%Headshot %

Clutches & streaks

33%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1675%0.8714.5
Anubis1155%0.7611.8
Inferno967%0.6912.0
Mirage944%0.6511.4
Dust2862%0.9514.4
Nuke771%0.6911.3
Overpass475%0.5110.5
Vertigo367%0.8512.7

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.

16.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.3%Spray accuracy
73.4%Counter-strafing
12.9°Preaim
572msReaction time
47.5%T opening success
48.0%CT opening success
0.62Enemies flashed / flash
8.4%Flash assists
10.49HE damage / grenade
9.30Flashes / 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 12.9443° — above the 12° mark we flag

    Aim Training →
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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–130.0521%16 Oct →
anubis13–60.1023%16 Oct →
ancient14–16-0.0215%12 Oct →
anubis13–9-0.0212%12 Oct →
anubis13–3-0.0713%12 Oct →
cache5–13-0.0319%8 Oct →
dust210–130.0627%7 Oct →
ancient13–80.0015%7 Oct →
dust21–10-0.0124%3 Oct →
cache7–13-0.0417%3 Oct →
ancient9–13-0.0216%3 Oct →
cache13–11-0.0713%3 Oct →
anubis13–3-0.0313%3 Oct →
dust25–13-0.050%3 Oct →
mirage10–13-0.0725%3 Oct →
dust213–11-0.0113%3 Oct →
nuke16–13-0.005%2 Oct →
dust27–13-0.0028%2 Oct →
anubis9–13-0.0913%2 Oct →
inferno13–11-0.0527%2 Oct →
ancient13–80.0216%2 Oct →
anubis13–60.0622%2 Oct →
dust213–110.0218%1 Oct →
nuke4–13-0.0320%1 Oct →
nuke11–13-0.0620%30 Sept →
dust213–9-0.0013%30 Sept →
inferno7–130.0214%30 Sept →
dust21–13-0.0829%30 Sept →
inferno15–15-0.106%26 Sept →
mirage5–13-0.035%26 Sept →
anubis2–13-0.1016%26 Sept →
anubis13–7-0.0519%26 Sept →
cache11–130.0123%26 Sept →
ancient11–13-0.0411%24 Sept →
anubis10–13-0.0217%23 Sept →
dust213–5-0.0344%23 Sept →
dust25–13-0.0617%23 Sept →
anubis13–9-0.0310%22 Sept →
dust213–100.0315%22 Sept →
ancient13–10-0.0417%22 Sept →
anubis13–8-0.0614%22 Sept →
mirage16–14-0.0515%22 Sept →
dust213–6-0.0732%21 Sept →
anubis13–60.024%21 Sept →
dust213–6-0.0417%21 Sept →
anubis13–9-0.044%21 Sept →
dust28–13-0.0720%21 Sept →
ancient13–16-0.0617%20 Sept →
dust213–110.0321%20 Sept →
ancient13–80.0622%20 Sept →
mirage13–11-0.0115%20 Sept →
mirage8–13-0.1017%19 Sept →
inferno13–7-0.0019%19 Sept →
nuke5–13-0.0410%19 Sept →
ancient13–9-0.0120%19 Sept →
cache7–13-0.0418%19 Sept →
mirage6–13-0.0411%19 Sept →
mirage11–13-0.0123%18 Sept →
ancient13–60.0914%18 Sept →
anubis11–13-0.0518%17 Sept →
nuke9–13-0.0321%17 Sept →
nuke8–13-0.096%16 Sept →
inferno13–50.0022%16 Sept →
mirage13–9-0.0625%16 Sept →
mirage13–10-0.0412%14 Sept →
ancient3–13-0.0519%12 Sept →
nuke13–11-0.0318%12 Sept →
nuke14–16-0.0019%10 Sept →
dust28–13-0.0417%10 Sept →
anubis6–13-0.0610%9 Sept →
inferno8–13-0.0917%7 Sept →
ancient5–13-0.0535%7 Sept →
anubis13–7-0.0221%7 Sept →
cache13–50.0628%7 Sept →
nuke13–5-0.0211%7 Sept →
dust28–13-0.0832%7 Sept →
nuke11–13-0.0025%7 Sept →
cache13–9-0.0311%6 Sept →
ancient13–8-0.0112%6 Sept →
mirage13–11-0.0011%6 Sept →
dust214–16-0.0414%6 Sept →
inferno13–40.0119%6 Sept →
mirage13–8-0.0230%6 Sept →
cache8–130.0123%5 Sept →
anubis10–13-0.0512%5 Sept →
ancient4–13-0.0611%5 Sept →
inferno13–110.0217%5 Sept →
anubis13–5-0.0521%5 Sept →
cache13–50.0714%3 Sept →
ancient13–9-0.0614%2 Sept →
ancient13–6-0.006%2 Sept →
mirage15–15-0.0411%2 Sept →
nuke9–13-0.0418%2 Sept →
ancient13–40.0123%2 Sept →
dust28–13-0.0425%2 Sept →
inferno13–16-0.0714%2 Sept →
nuke13–10-0.088%2 Sept →
dust213–7-0.098%1 Sept →
nuke4–13-0.0719%31 Aug →
ancient10–130.0422%31 Aug →

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 →

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