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[PN] LadyDy02

[PN] LadyDy02 — CS2 Stats

DE76561198070380199[U:1:110114471]Steam profile ↗✓ No bans

1,864Tracked matches45%Win rate2020Tracked since
5,913Hours in CS42Hrs last 2 wks
CSDB Rating2.8 LearningSupport
Premier CS Rating9,017Light Blue band · top ~59.6% of ranked players (population est.)
CSDB Leaderboard#189844 of 258870 tracked
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 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: 9,017 -166 17 Sept – 29 Oct · 25 days played
8,89312,382peak 12,38217 Sept29 Oct
12,824Peak Premier in tracked matches
24Days played since 2026-09-17

Premier CS Rating

  • 3,365 below peak (12,382)
  • -620 over 30 days · declining
  • Next: Blue band at 10,000 — 983 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-18

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate32.9%39.9%42.0%9.1% short
Shot accuracy14.7%7.0%9.6%above
Kill/death ratio0.930.920.980.05 short
Match win rate42.0%42.3%43.8%1.8% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG[PN] LadyDy02PREMIER9,017 · Light Blue bandcsdb.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

Aim17
Positioning49
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWLWWLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · +17ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 7%
  • Avg reaction 694ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 629ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 620ms

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 (+2.6 against its own average).

Aim1.7
Utility6.1
Positioning4.9
Opening Duels0.4
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.

Strengths & areas to improve

Areas to improve

Reaction time. 620ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim1.7
Positioning4.9
Utility6.1
Mechanics1.9
Opening Duels0.5
Win Impact3.3

Composite 2.8/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time612ms+5ms
first ⅓ avg 607ms → last ⅓ avg 612ms
Headshot accuracy10.7%+0.8%
first ⅓ avg 9.9% → last ⅓ avg 10.7%

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

0.13Best match rating · 13–3 · dust2, 25 Oct →
28%Best headshot accuracy · 13–2 · inferno, 21 Oct →
438msFastest reaction time · 5–13 · ancient, 2 Oct →
13–1Biggest win · dust2, 17 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 70% over 10nukeWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S3120–1165%0.00
infernoB2110–1148%-0.01
nukeD163–1319%-0.02
ancientC114–736%-0.02
anubisS107–370%-0.02
mirageD72–529%0.01
cache—42–250%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,784Lifetime kills
0.93K/D · Top 50% of Light Blue band
7,894Matches
42.0%Match win rate
32.9%Headshot %
14.7%Shot accuracy · Top 25% of Light Blue band
17,453MVPs
3,240Hours (in match)
16,657Bombs planted
1,837Bombs defused

Most-used weapons

AK-4726,622
M4A4 / M4A1-S17,955
MP717,422
AWP15,470
P2507,504
P2000 / USP-S5,904
P905,596
UMP-455,300
Glock-184,659
Galil AR4,532

Lifetime map wins

31,699dust2
14,084inferno
3,987nuke
1,219cbble
918train
913office
728vertigo
426lake

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

Faceit stats

Combat

31Matches
55%Win rate
0.91Avg K/D
67.4ADR
36%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno475%0.8411.8
Ancient367%0.7913.7
Cache250%0.9412.0
Anubis250%0.7616.0
Dust2250%0.8312.5
Nuke10%0.479.0
Mirage10%0.406.0

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.

10.5%Headshot accuracy
29.2%Accuracy (enemy spotted)
28.5%Spray accuracy
58.8%Counter-strafing
13.7°Preaim
620msReaction time
33.1%T opening success
31.2%CT opening success
0.58Enemies flashed / flash
2.6%Flash assists
9.69HE damage / grenade
12.63Flashes / 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 13.7159° — 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 10.5182% — below the 15% 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.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–13-0.0510%29 Oct →
nuke11–13-0.047%29 Oct →
dust211–50.000%29 Oct →
mirage13–30.0610%29 Oct →
ancient10–13-0.0611%29 Oct →
ancient13–11-0.0611%29 Oct →
inferno13–5-0.0313%29 Oct →
nuke10–13-0.026%29 Oct →
inferno6–13-0.0113%27 Oct →
mirage11–130.0116%27 Oct →
mirage9–130.018%27 Oct →
anubis13–7-0.0112%27 Oct →
cache13–100.0211%26 Oct →
nuke2–13-0.066%26 Oct →
ancient13–3-0.0211%26 Oct →
ancient5–13-0.057%26 Oct →
dust27–13-0.0215%26 Oct →
dust213–11-0.006%26 Oct →
nuke8–130.015%25 Oct →
dust213–30.1324%25 Oct →
nuke11–13-0.0110%25 Oct →
anubis13–4-0.038%25 Oct →
inferno11–130.0116%23 Oct →
anubis10–13-0.049%23 Oct →
dust215–150.0112%23 Oct →
cache13–70.0211%23 Oct →
dust28–13-0.067%23 Oct →
cache14–160.0410%21 Oct →
inferno3–13-0.107%21 Oct →
inferno13–20.0228%21 Oct →
anubis8–13-0.054%19 Oct →
ancient5–13-0.0416%19 Oct →
mirage9–130.0513%19 Oct →
inferno8–130.0419%18 Oct →
dust213–30.0411%18 Oct →
anubis13–7-0.0321%18 Oct →
nuke9–13-0.0311%18 Oct →
inferno7–13-0.075%18 Oct →
anubis13–4-0.0614%18 Oct →
ancient9–13-0.017%18 Oct →
cache7–13-0.038%16 Oct →
dust25–13-0.0016%14 Oct →
anubis13–7-0.019%11 Oct →
nuke2–13-0.0410%11 Oct →
dust213–70.0216%11 Oct →
nuke13–16-0.016%11 Oct →
inferno13–70.068%11 Oct →
mirage13–40.0710%11 Oct →
nuke11–130.019%9 Oct →
nuke13–9-0.027%9 Oct →
inferno14–16-0.0215%7 Oct →
inferno13–100.0318%7 Oct →
nuke13–100.049%7 Oct →
dust28–13-0.0214%7 Oct →
anubis13–11-0.0314%4 Oct →
dust213–10-0.025%3 Oct →
dust215–150.0213%3 Oct →
ancient13–8-0.0110%3 Oct →
dust213–4-0.0210%3 Oct →
inferno11–13-0.0514%3 Oct →
inferno13–90.019%3 Oct →
dust213–11-0.0011%3 Oct →
dust210–13-0.0011%3 Oct →
dust214–16-0.076%3 Oct →
ancient5–13-0.0325%2 Oct →
dust213–60.077%2 Oct →
inferno13–9-0.047%2 Oct →
mirage1–13-0.066%2 Oct →
nuke8–130.0010%30 Sept →
dust213–9-0.0610%30 Sept →
inferno13–100.018%30 Sept →
dust211–13-0.037%29 Sept →
inferno7–13-0.0312%28 Sept →
inferno13–50.0311%28 Sept →
inferno8–13-0.069%27 Sept →
dust213–70.003%27 Sept →
inferno10–130.008%27 Sept →
mirage6–13-0.0410%27 Sept →
dust213–6-0.028%27 Sept →
ancient13–110.058%27 Sept →
inferno13–50.056%27 Sept →
ancient9–130.029%23 Sept →
nuke13–16-0.0210%23 Sept →
anubis13–90.0411%23 Sept →
anubis6–13-0.0010%20 Sept →
nuke4–13-0.103%20 Sept →
dust213–90.024%20 Sept →
dust215–15-0.0710%20 Sept →
dust213–11-0.0512%20 Sept →
ancient2–13-0.0511%18 Sept →
dust216–130.0111%18 Sept →
dust25–13-0.0216%18 Sept →
inferno16–14-0.0119%18 Sept →
dust213–60.1211%17 Sept →
nuke7–13-0.0413%17 Sept →
dust216–13-0.0416%17 Sept →
inferno6–13-0.0214%17 Sept →
dust213–100.099%17 Sept →
dust216–120.0410%17 Sept →
dust213–10.0112%17 Sept →

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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