[PN] ⚜Luzz1993⚜

[PN] ⚜Luzz1993⚜ — CS2 Stats

AT76561199103575951[U:1:1143310223]Steam profile ↗✓ No bans

4,116Tracked matches50%Win rate2021Tracked since
8,041Hours in CS43Hrs last 2 wks
CSDB Rating3.4 LearningClutch Specialist
Premier CS Rating8,021Light Blue band · top ~64.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
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.

−86Premier CS Rating · 8,107 → 8,021

Rating over time

Premier CS Rating: 8,021 -3,705 8 Sept – 30 Oct · 27 days played
7,23511,726peak 11,7268 Sept30 Oct
11,726Peak Premier in tracked matches
23Days played since 2026-09-08

Premier CS Rating

  • 3,705 below peak (11,726)
  • -1,835 over 30 days · declining
  • Next: Blue band at 10,000 — 1,979 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-08
  • Light Blue band first seen 2026-09-08

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 rate35.4%41.8%42.7%7.4% short
Shot accuracy5.9%12.2%11.2%5.3% short
Kill/death ratio0.700.980.990.29 short
Match win rate43.0%43.3%43.9%0.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

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.GG[PN] ⚜Luzz1993⚜FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER8,021 · 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

Aim28
Positioning58
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWLLWLWWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +0.1pp headshot accuracy · −10ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 580ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 575ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 580ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim2.8
Utility4.6
Positioning5.8
Opening Duels1.8
Clutch6.0

Limited utility dependence

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 57% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 574ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim2.8
Positioning5.8
Utility4.6
Mechanics1.6
Opening Duels3.0
Win Impact5.0

Composite 3.4/10 (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 time574ms−56ms
first ⅓ avg 631ms → last ⅓ avg 574ms
Headshot accuracy13.8%−1.1%
first ⅓ avg 14.9% → last ⅓ avg 13.8%

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

0.09Best match rating · 13–5 · dust2, 8 Oct →
27%Best headshot accuracy · 3–13 · inferno, 3 Oct →
422msFastest reaction time · 3–13 · inferno, 3 Oct →
13–0Biggest win · cache, 2 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
3–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 6mirageWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.01
infernoC208–1240%-0.01
nukeA169–756%-0.01
mirageD165–1131%-0.02
ancientB105–550%-0.01
cacheA85–363%0.02
anubisS64–267%-0.03
train—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,401Lifetime kills
0.70K/D
8,139Matches
43.0%Match win rate
35.4%Headshot %
5.9%Shot accuracy
13,149MVPs
3,342Hours (in match)
11,670Bombs planted
1,107Bombs defused

Most-used weapons

P9021,990
MP719,450
AWP12,596
AK-476,911
Tec-93,482
XM10143,189
AUG2,555

Lifetime map wins

26,317inferno
21,282dust2
7,622nuke
1,757vertigo
732train
107office
17cbble
13bank

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

Faceit stats

Combat

12Matches
33%Win rate
0.68Avg K/D
72.4ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis540%0.8015.0
Dust2520%0.579.4
Ancient250%0.6611.5

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.

13.6%Headshot accuracy
27.6%Accuracy (enemy spotted)
30.1%Spray accuracy
57.0%Counter-strafing
11.0°Preaim
574msReaction time
44.3%T opening success
39.7%CT opening success
0.45Enemies flashed / flash
4.5%Flash assists
8.40HE damage / grenade
4.06Flashes / 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 13.6437% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4513 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.6595% — below the 40% mark we flag

Spend your practice time on Mirage

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 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–13-0.0217%30 Oct →
inferno7–13-0.0416%30 Oct →
dust210–13-0.029%30 Oct →
nuke16–130.006%29 Oct →
nuke11–13-0.028%29 Oct →
dust211–50.0021%29 Oct →
mirage13–30.0818%29 Oct →
dust24–13-0.039%28 Oct →
cache13–90.0411%28 Oct →
mirage6–13-0.0513%28 Oct →
nuke13–10.0719%27 Oct →
ancient13–80.0116%27 Oct →
mirage11–13-0.0015%27 Oct →
dust211–13-0.0816%27 Oct →
mirage5–13-0.024%27 Oct →
inferno6–13-0.0510%23 Oct →
cache13–90.0414%23 Oct →
dust213–6-0.0216%23 Oct →
mirage3–13-0.1214%23 Oct →
inferno11–13-0.074%23 Oct →
dust213–50.0421%23 Oct →
anubis6–13-0.0727%22 Oct →
mirage13–40.0518%22 Oct →
cache14–16-0.0710%21 Oct →
nuke8–13-0.0624%21 Oct →
nuke13–80.0118%21 Oct →
ancient11–13-0.005%21 Oct →
nuke13–90.0615%21 Oct →
inferno13–80.0612%21 Oct →
inferno13–80.0815%20 Oct →
ancient5–13-0.099%19 Oct →
mirage9–13-0.0511%19 Oct →
inferno10–13-0.0013%19 Oct →
inferno8–13-0.0011%18 Oct →
dust213–3-0.0316%18 Oct →
dust210–13-0.0910%18 Oct →
dust210–13-0.0214%18 Oct →
mirage11–13-0.1015%18 Oct →
inferno4–13-0.0215%17 Oct →
dust213–100.0423%17 Oct →
ancient13–110.0414%17 Oct →
ancient13–90.0713%17 Oct →
inferno6–13-0.060%17 Oct →
cache7–13-0.0114%16 Oct →
dust29–130.0514%16 Oct →
ancient13–11-0.0212%16 Oct →
dust29–13-0.0513%16 Oct →
inferno13–110.0313%15 Oct →
mirage13–5-0.0514%15 Oct →
nuke9–13-0.0511%15 Oct →
dust25–13-0.0622%14 Oct →
inferno16–13-0.0312%14 Oct →
mirage3–13-0.004%13 Oct →
ancient13–3-0.0513%13 Oct →
nuke13–3-0.018%13 Oct →
nuke13–20.0313%13 Oct →
dust29–130.0414%13 Oct →
dust26–13-0.0513%13 Oct →
anubis13–70.010%11 Oct →
inferno13–7-0.0412%11 Oct →
mirage6–13-0.0210%11 Oct →
dust213–70.0018%11 Oct →
nuke13–16-0.019%11 Oct →
inferno13–7-0.037%11 Oct →
mirage13–40.047%11 Oct →
dust210–13-0.0113%11 Oct →
cache10–130.0516%11 Oct →
ancient8–130.0915%10 Oct →
nuke13–5-0.0314%10 Oct →
inferno7–130.0110%10 Oct →
inferno13–3-0.0115%9 Oct →
train13–80.019%9 Oct →
dust23–13-0.0416%9 Oct →
anubis13–7-0.0216%9 Oct →
mirage10–13-0.0213%9 Oct →
mirage13–16-0.0611%9 Oct →
anubis13–9-0.0017%9 Oct →
nuke9–13-0.039%9 Oct →
cache16–130.0411%9 Oct →
ancient13–16-0.0521%8 Oct →
dust213–50.0914%8 Oct →
mirage11–13-0.0516%8 Oct →
nuke11–13-0.0515%8 Oct →
mirage13–100.0110%8 Oct →
inferno14–16-0.0413%7 Oct →
inferno13–100.0321%7 Oct →
nuke13–100.039%7 Oct →
dust28–13-0.0718%7 Oct →
inferno10–130.0719%4 Oct →
cache13–100.0318%4 Oct →
anubis0–9-0.110%3 Oct →
inferno3–13-0.0927%3 Oct →
dust213–40.0426%3 Oct →
inferno8–130.0615%3 Oct →
dust216–120.0321%3 Oct →
cache13–00.0319%2 Oct →
nuke15–15-0.0713%2 Oct →
ancient5–13-0.0825%2 Oct →
dust213–6-0.015%2 Oct →
anubis13–50.028%2 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 →

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