Princess' Lusmak

Princess' Lusmak — CS2 Stats

FJ76561199117083734[U:1:1156818006]Steam profile ↗✓ No bans

2,266Tracked matches45%Win rate2021Tracked since
3,071Hours in CS18Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating18,816Top 50% of 213,399 CSDB-tracked playersPurple band · top ~13.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 18,816 -1,072 15 Sept – 1 Nov · 30 days played
18,17721,585peak 21,58515 Sept1 Nov
21,585Peak Premier in tracked matches
27Days played since 2026-09-15

Premier CS Rating

  • 2,769 below peak (21,585)
  • -1,184 over 30 days · declining
  • Next: Pink band at 20,000 — 1,184 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-15

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate43.7%41.8%42.7%above
Shot accuracy4.5%12.2%11.2%6.7% short
Kill/death ratio0.700.980.990.29 short
Match win rate43.2%43.3%43.9%meets

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPrincess' LusmakFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER18,816 · Purple 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

Aim58
Positioning62
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWLWWLLLLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +0.1pp headshot accuracy · +5ms 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 -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 630ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

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 (+1.3 against its own average).

Aim5.8
Utility5.4
Positioning6.2
Opening Duels3.6
Clutch4.4

Effective flashes

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

jL

Plays most like jL 77% 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 619ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.8
Positioning6.2
Utility5.4
Mechanics4.0
Opening Duels5.5
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+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time610ms+35ms
first ⅓ avg 575ms → last ⅓ avg 610ms
Headshot accuracy18.7%+4.7%
first ⅓ avg 13.9% → last ⅓ avg 18.7%

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

0.16Best match rating · 9–2 · vertigo, 21 Oct →
47%Best headshot accuracy · 13–5 · dust2, 17 Oct →
391msFastest reaction time · 2–5 · anubis, 6 Oct →
13–0Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 63% over 8cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.00
dust2A1810–856%-0.03
infernoB168–850%-0.03
cacheD113–827%-0.02
anubisA85–363%-0.01
ancientB84–450%-0.03
vertigoA85–363%0.01
nukeD62–433%-0.05
train—10–10%-0.07
overpass—11–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

47,540Lifetime kills
0.70K/D
3,741Matches
43.2%Match win rate
43.7%Headshot % · Top 50% of Level 3 players
4.5%Shot accuracy
6,299MVPs
1,536Hours (in match)
5,946Bombs planted
697Bombs defused

Most-used weapons

AK-4711,413
MAC-105,754
MP95,098
P2501,867
MP71,601
AWP1,537

Lifetime map wins

9,745inferno
6,931dust2
2,593vertigo
2,266nuke
493train
167cbble
161office
47italy

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

Faceit stats

Combat

100Matches
50%Win rate
0.69Avg K/D
68.8ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
28%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2467%0.8112.0
Anubis2167%0.7111.5
Dust21724%0.539.0
Nuke956%0.669.7
Vertigo850%0.5511.0
Mirage729%0.8713.0
Ancient540%0.8011.8
Overpass250%0.639.5

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.

18.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
38.1%Spray accuracy
68.0%Counter-strafing
9.1°Preaim
619msReaction time
61.3%T opening success
42.5%CT opening success
0.74Enemies flashed / flash
4.7%Flash assists
7.61HE damage / grenade
5.68Flashes / match

Recommended for you

Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0215%1 Nov →
cache10–13-0.1112%31 Oct →
mirage13–30.0013%31 Oct →
inferno16–13-0.0611%31 Oct →
nuke10–13-0.0625%30 Oct →
anubis3–13-0.0418%29 Oct →
nuke14–16-0.0512%29 Oct →
ancient14–160.0214%27 Oct →
vertigo6–9-0.1618%26 Oct →
vertigo9–7-0.0627%26 Oct →
inferno13–50.0419%25 Oct →
train12–12-0.0722%25 Oct →
overpass13–100.0123%25 Oct →
ancient11–13-0.0512%24 Oct →
mirage13–160.0011%24 Oct →
ancient13–80.0113%24 Oct →
ancient4–13-0.0520%23 Oct →
dust213–9-0.0122%23 Oct →
ancient13–11-0.0414%23 Oct →
dust211–13-0.0810%23 Oct →
mirage13–70.0514%23 Oct →
cache7–13-0.0622%23 Oct →
cache10–130.0725%22 Oct →
mirage8–130.0217%22 Oct →
vertigo5–9-0.1315%21 Oct →
vertigo9–20.0634%21 Oct →
vertigo9–20.1626%21 Oct →
mirage9–13-0.0320%21 Oct →
vertigo9–20.1027%21 Oct →
dust216–13-0.0713%21 Oct →
dust213–50.0215%21 Oct →
mirage11–13-0.1035%21 Oct →
dust213–30.0725%21 Oct →
inferno5–13-0.0420%18 Oct →
mirage10–130.1244%18 Oct →
mirage13–3-0.0115%18 Oct →
mirage10–130.0726%18 Oct →
dust213–11-0.0817%17 Oct →
nuke16–13-0.0714%17 Oct →
dust213–40.0228%17 Oct →
cache11–130.0235%17 Oct →
mirage10–130.0132%17 Oct →
dust213–50.0347%17 Oct →
anubis13–90.0739%17 Oct →
inferno13–8-0.0040%17 Oct →
cache13–60.0324%16 Oct →
mirage13–40.0918%16 Oct →
ancient13–50.0114%16 Oct →
inferno13–8-0.0615%16 Oct →
nuke13–16-0.0411%16 Oct →
vertigo8–130.0619%15 Oct →
mirage7–130.0525%15 Oct →
mirage13–110.0114%15 Oct →
cache9–13-0.0213%15 Oct →
inferno13–70.0514%14 Oct →
vertigo13–50.0515%14 Oct →
cache16–13-0.0411%14 Oct →
inferno13–00.0921%14 Oct →
inferno16–12-0.048%13 Oct →
dust28–13-0.0128%13 Oct →
dust211–13-0.0531%13 Oct →
cache4–13-0.076%13 Oct →
dust213–9-0.0319%13 Oct →
mirage13–11-0.0517%13 Oct →
mirage13–50.0918%13 Oct →
inferno6–13-0.0311%12 Oct →
mirage4–13-0.1214%11 Oct →
inferno16–12-0.0120%11 Oct →
inferno15–15-0.089%11 Oct →
anubis13–5-0.0517%11 Oct →
nuke13–5-0.0625%10 Oct →
dust25–13-0.065%10 Oct →
cache13–20.0424%10 Oct →
dust212–16-0.0810%10 Oct →
anubis13–4-0.0010%10 Oct →
inferno11–13-0.0417%10 Oct →
dust27–13-0.056%10 Oct →
inferno11–13-0.107%10 Oct →
cache7–13-0.0711%9 Oct →
inferno4–13-0.0923%8 Oct →
mirage13–10-0.0316%8 Oct →
nuke10–13-0.0410%8 Oct →
inferno8–13-0.0911%7 Oct →
dust213–5-0.0316%7 Oct →
mirage13–9-0.028%6 Oct →
dust212–12-0.0415%6 Oct →
anubis2–5-0.0219%6 Oct →
ancient4–13-0.0427%6 Oct →
anubis13–80.0315%5 Oct →
anubis13–5-0.0416%5 Oct →
mirage5–13-0.029%4 Oct →
dust211–13-0.0421%4 Oct →
mirage13–4-0.0418%4 Oct →
mirage13–8-0.0718%4 Oct →
mirage10–13-0.0310%3 Oct →
cache15–15-0.038%3 Oct →
inferno14–16-0.0714%3 Oct →
mirage15–15-0.1012%3 Oct →
anubis0–13-0.020%3 Oct →
ancient13–11-0.0813%3 Oct →

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.