LadyTiMing

LadyTiMing — CS2 Stats

DE76561199130784138[U:1:1170518410]Steam profile ↗✓ No bans

1,234Tracked matches34%Win rate2021Tracked since
1,686Hours in CS15Hrs last 2 wks
CSDB Rating3.2 LearningSupport
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (7 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: 5,000 +630 16 Aug – 24 Sept · 25 days played
2,9785,434peak 5,43416 Aug24 Sept
6,050Peak Premier in tracked matches
29Days played since 2026-08-16

Premier CS Rating

  • 434 below peak (5,434)
  • +1,429 over 30 days · improving
  • Next: Blue band at 10,000 — 5,000 to go
  • Reached: 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 Level 4 among CSDB-tracked players (n=13,989), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate40.1%42.7%43.8%3.7% short
Shot accuracy5.9%11.3%12.0%6.1% short
Kill/death ratio0.760.991.020.26 short
Match win rate37.6%43.9%44.7%7.1% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLadyTiMingFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,000 · 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

Aim48
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLLLLLTWLLL

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · −11.8pp headshot accuracy · −48ms reaction

Win rate down 30pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 622ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 635ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 659ms

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 (+1.3 against its own average).

Aim4.8
Utility4.9
Positioning4.3
Opening Duels1.6

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

NiKo

Plays most like NiKo 78% 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. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim4.8
Positioning4.3
Utility4.9
Mechanics2.6
Opening Duels1.5
Win Impact0.0

Composite 3.2/10 (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-0.00+0.05
first ⅓ avg -0.05 → last ⅓ avg -0.00
Reaction time642ms−13ms
first ⅓ avg 655ms → last ⅓ avg 642ms
Headshot accuracy20.5%+5.9%
first ⅓ avg 14.6% → last ⅓ avg 20.5%

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 · 13–2 · ancient, 13 Sept →
48%Best headshot accuracy · 8–13 · inferno, 13 Sept →
406msFastest reaction time · 10–13 · office, 24 Aug →
13–1Biggest win · inferno, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
5–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3315–1845%-0.03
infernoD165–1131%-0.03
mirageB157–847%-0.01
ancientC104–640%-0.02
nukeD72–529%-0.06
cacheC73–443%-0.02
anubisA53–260%-0.06
office—41–325%-0.02
vertigo—20–20%-0.03
italy—11–0100%0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,237Lifetime kills
0.76K/D
2,868Matches
37.6%Match win rate
40.1%Headshot %
5.9%Shot accuracy
2,904MVPs
973Hours (in match)
1,928Bombs planted
296Bombs defused

Most-used weapons

AK-475,102
AWP3,562
MP93,041
MAC-101,760
P901,342

Lifetime map wins

7,909office
2,753dust2
1,967inferno
1,541nuke
913vertigo
580italy
220train
208assault

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

Faceit stats

Combat

5Matches
0%Win rate
0.77Avg K/D
—ADR
60%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke30%0.8713.3
Inferno10%0.5610.0
Vertigo10%0.6813.0

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.

20.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.5%Spray accuracy
61.6%Counter-strafing
10.5°Preaim
633msReaction time
31.6%T opening success
40.0%CT opening success
0.51Enemies flashed / flash
3.3%Flash assists
8.93HE damage / grenade
9.61Flashes / 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 31.5931% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo5–13-0.0711%29 Sept →
nuke0–5-0.0425%26 Sept →
mirage4–13-0.0614%26 Sept →
ancient11–13-0.0713%26 Sept →
dust24–13-0.078%26 Sept →
vertigo12–120.0111%26 Sept →
italy13–20.0921%26 Sept →
office5–13-0.0217%26 Sept →
dust26–13-0.047%24 Sept →
cache3–13-0.1019%23 Sept →
anubis2–13-0.0410%17 Sept →
nuke4–9-0.0612%15 Sept →
inferno6–9-0.0426%15 Sept →
office3–10-0.010%15 Sept →
ancient11–130.0620%13 Sept →
inferno8–130.0248%13 Sept →
cache13–40.0344%13 Sept →
ancient13–20.1826%13 Sept →
mirage13–100.1040%13 Sept →
dust213–90.0138%13 Sept →
mirage9–13-0.066%12 Sept →
mirage4–13-0.0715%12 Sept →
inferno13–40.0233%12 Sept →
mirage7–13-0.0618%12 Sept →
dust213–110.0327%12 Sept →
ancient9–13-0.1215%11 Sept →
inferno3–13-0.0232%10 Sept →
dust27–13-0.0921%10 Sept →
inferno13–60.1317%10 Sept →
cache13–60.1123%10 Sept →
dust213–40.0318%10 Sept →
dust213–60.1016%10 Sept →
inferno9–13-0.0123%9 Sept →
dust21–13-0.110%9 Sept →
dust213–80.0816%9 Sept →
dust213–70.0730%9 Sept →
dust213–20.0837%9 Sept →
dust213–30.1737%9 Sept →
mirage13–60.1214%9 Sept →
mirage8–130.0522%9 Sept →
ancient16–120.0720%9 Sept →
dust213–40.0710%9 Sept →
mirage7–13-0.0412%8 Sept →
office13–3-0.013%8 Sept →
dust213–9-0.0812%7 Sept →
inferno1–13-0.088%7 Sept →
dust213–10-0.0514%7 Sept →
mirage13–5-0.046%7 Sept →
ancient13–8-0.057%7 Sept →
dust28–13-0.0514%7 Sept →
nuke9–7-0.105%7 Sept →
mirage14–16-0.028%4 Sept →
inferno4–13-0.0216%4 Sept →
inferno3–9-0.1413%4 Sept →
dust213–9-0.0714%3 Sept →
inferno13–9-0.0526%3 Sept →
dust29–13-0.075%2 Sept →
anubis16–14-0.0115%2 Sept →
mirage8–13-0.0610%31 Aug →
dust213–9-0.1110%31 Aug →
mirage13–70.0116%31 Aug →
inferno13–16-0.0910%27 Aug →
inferno5–13-0.036%27 Aug →
dust29–13-0.066%26 Aug →
cache11–13-0.0211%26 Aug →
ancient9–13-0.0912%26 Aug →
dust26–13-0.0918%25 Aug →
dust25–13-0.0717%25 Aug →
office10–13-0.0521%24 Aug →
mirage13–2-0.0016%24 Aug →
dust213–4-0.0119%23 Aug →
nuke13–100.0214%23 Aug →
nuke8–13-0.108%23 Aug →
ancient13–8-0.0110%23 Aug →
anubis2–13-0.0512%22 Aug →
cache3–13-0.063%22 Aug →
inferno5–13-0.0214%22 Aug →
dust210–13-0.0615%21 Aug →
mirage13–70.0319%21 Aug →
mirage16–14-0.015%21 Aug →
ancient15–15-0.0219%20 Aug →
dust27–13-0.129%20 Aug →
inferno9–13-0.0410%19 Aug →
cache13–10-0.0421%19 Aug →
nuke10–13-0.0817%19 Aug →
dust25–13-0.127%18 Aug →
dust29–13-0.0518%18 Aug →
dust213–7-0.0319%18 Aug →
dust23–13-0.0518%17 Aug →
ancient5–13-0.1229%17 Aug →
cache4–13-0.0410%17 Aug →
dust215–15-0.0212%17 Aug →
anubis13–6-0.0915%16 Aug →
dust210–13-0.0916%16 Aug →
dust24–13-0.0718%16 Aug →
dust27–13-0.0714%16 Aug →
inferno13–1-0.0110%16 Aug →
nuke2–13-0.0825%16 Aug →
inferno9–3-0.0811%16 Aug →
anubis8–8-0.1112%16 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.