[PN] ❧ ⚜ Luzz1993 ⚜ ☙ — CS2 Stats

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

3,978Tracked matches39%Win rate2021Tracked since

7,898Hours in CS56Hrs last 2 wks

CSDB Rating3.0 LearningClutch Specialist

Premier CS Rating10,541Blue band · top ~52% of ranked players (population est.)

CSDB Leaderboard#162080 of 230940 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 19 days played since 30 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,541 -2,069 30 Aug – 19 Sept · 19 days played

13,485Peak Premier in tracked matches

19Days played since 2026-08-30

Premier CS Rating

2,758 below peak (13,299)
Next: Purple band at 15,000 — 4,459 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.

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	43	31	+12
Win rate	44%	52%	−7pp
K/D	0.91	0.93	−0.02
Headshot %	40%	42%	−2pp

Measured 12 Sep 2026 → 20 Sep 2026; previous 6 Sep 2026 → 12 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	35.3%	41.9%	42.7%	7.4% short
Shot accuracy	6.1%	12.2%	11.3%	5.2% short
Kill/death ratio	0.70	0.98	0.99	0.30 short
Match win rate	43.1%	43.3%	43.9%	meets

This profile matches the typical Level 4 player on 1 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.

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Performance scores

Aim24

Positioning57

Utility43

0–100 skill scores via Leetify.

Recent form

COLD42–55–3Last 10042%Win rateLWWLLWLLLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +2.7pp headshot accuracy · −20ms 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

2–3 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 15%
Avg reaction 589ms

Last 10

3–7 · 30% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 578ms

Last 20

6–12–2 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 588ms

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 (+1.4 against its own average).

Aim2.4

Utility4.3

Positioning5.7

Opening Duels2.3

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

Plays most like jL 56% 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

CT openings. Opening success drops from 57% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim2.4

Positioning5.7

Utility4.3

Mechanics0.7

Opening Duels4.5

Win Impact1.4

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time576ms−12ms

first ⅓ avg 588ms → last ⅓ avg 576ms

Headshot accuracy13.1%+0.2%

first ⅓ avg 12.9% → last ⅓ avg 13.1%

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 · 8–13 · dust2, 16 Sept →

27%Best headshot accuracy · 13–8 · dust2, 11 Sept →

391msFastest reaction time · 4–13 · inferno, 5 Sept →

13–1Biggest win · dust2, 31 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

10–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 50% over 26anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	0.00
inferno	B	26	13–13	50%	-0.01
nuke	C	17	7–10	41%	-0.00
ancient	C	11	4–7	36%	-0.03
cache	D	8	2–6	25%	-0.01
anubis	D	6	1–5	17%	-0.03
mirage	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,758Lifetime kills

0.70K/D

7,952Matches

43.1%Match win rate

35.3%Headshot %

6.1%Shot accuracy

12,741MVPs

3,277Hours (in match)

11,515Bombs planted

1,073Bombs defused

Most-used weapons

P9021,922

MP718,312

AWP12,214

M4A4 / M4A1-S10,790

P2000 / USP-S6,706

AK-476,702

Glock-183,610

Tec-93,352

XM10143,128

AUG2,542

Lifetime map wins

25,935inferno

20,906dust2

7,348nuke

1,738vertigo

719train

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

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	5	40%	0.80	15.0
Dust2	5	20%	0.57	9.4
Ancient	2	50%	0.66	11.5

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

28.2%Accuracy (enemy spotted)

30.3%Spray accuracy

52.9%Counter-strafing

11.7°Preaim

584msReaction time

56.8%T opening success

39.3%CT opening success

0.47Enemies flashed / flash

5.4%Flash assists

8.17HE damage / grenade

3.43Flashes / 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.

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 13.6351% — below the 15% mark we flag
Aim Training →
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 0.4688 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.3436% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	-0.05	20%	19 Sept →
mirage	13–2	0.04	9%	19 Sept →
anubis	13–8	0.05	15%	19 Sept →
nuke	9–13	0.06	17%	19 Sept →
dust2	11–13	0.03	14%	19 Sept →
inferno	13–8	0.04	14%	19 Sept →
nuke	8–13	0.02	9%	18 Sept →
nuke	9–13	-0.02	18%	18 Sept →
dust2	11–13	0.01	23%	18 Sept →
ancient	11–13	-0.00	7%	18 Sept →
inferno	13–11	-0.06	17%	18 Sept →
anubis	11–13	0.03	12%	18 Sept →
dust2	10–13	-0.00	8%	18 Sept →
dust2	11–13	-0.11	13%	18 Sept →
anubis	4–13	-0.08	4%	18 Sept →
inferno	6–13	-0.03	6%	17 Sept →
dust2	13–10	0.01	23%	17 Sept →
dust2	16–13	0.06	11%	16 Sept →
dust2	15–15	-0.02	14%	16 Sept →
cache	15–15	-0.01	13%	16 Sept →
dust2	8–13	0.09	15%	16 Sept →
inferno	13–9	0.03	10%	16 Sept →
dust2	13–11	-0.04	12%	15 Sept →
nuke	13–8	0.05	12%	15 Sept →
cache	4–13	-0.05	11%	15 Sept →
nuke	13–16	0.01	18%	15 Sept →
nuke	11–13	0.00	20%	13 Sept →
inferno	13–7	0.07	13%	13 Sept →
dust2	13–11	-0.02	12%	13 Sept →
inferno	9–13	-0.08	13%	12 Sept →
inferno	9–13	-0.03	9%	12 Sept →
inferno	13–3	-0.01	7%	12 Sept →
ancient	6–13	-0.05	14%	12 Sept →
ancient	13–10	-0.06	11%	12 Sept →
nuke	8–13	-0.03	12%	12 Sept →
inferno	13–9	0.05	12%	12 Sept →
anubis	2–13	-0.08	19%	12 Sept →
dust2	4–13	-0.06	14%	12 Sept →
nuke	10–2	0.02	9%	12 Sept →
dust2	16–14	-0.03	15%	12 Sept →
inferno	10–13	0.03	14%	11 Sept →
dust2	13–8	0.03	27%	11 Sept →
cache	8–13	-0.01	19%	11 Sept →
nuke	10–13	0.03	23%	11 Sept →
nuke	13–2	-0.01	17%	11 Sept →
dust2	7–13	-0.03	14%	11 Sept →
nuke	13–4	-0.01	12%	11 Sept →
inferno	6–13	-0.05	13%	11 Sept →
dust2	10–13	0.06	12%	11 Sept →
inferno	13–2	-0.02	11%	10 Sept →
dust2	13–16	-0.01	12%	10 Sept →
cache	13–10	-0.00	9%	10 Sept →
inferno	13–4	0.03	12%	9 Sept →
anubis	9–13	-0.06	18%	9 Sept →
dust2	5–13	-0.08	11%	9 Sept →
inferno	13–9	0.07	13%	8 Sept →
nuke	13–2	0.03	26%	8 Sept →
dust2	13–10	0.04	22%	8 Sept →
inferno	13–11	-0.05	7%	8 Sept →
dust2	13–5	0.07	18%	8 Sept →
inferno	13–11	-0.02	16%	7 Sept →
inferno	8–13	-0.05	20%	6 Sept →
inferno	13–11	-0.05	15%	6 Sept →
nuke	13–5	-0.05	10%	6 Sept →
dust2	13–9	0.04	19%	6 Sept →
inferno	4–13	-0.04	11%	6 Sept →
dust2	10–13	-0.03	15%	6 Sept →
dust2	11–13	-0.07	23%	6 Sept →
nuke	4–13	-0.07	9%	5 Sept →
ancient	13–11	-0.04	21%	5 Sept →
ancient	13–5	0.01	10%	5 Sept →
cache	6–13	-0.02	8%	5 Sept →
ancient	10–13	-0.02	13%	5 Sept →
anubis	9–13	-0.01	13%	5 Sept →
inferno	9–13	0.05	9%	5 Sept →
inferno	4–13	-0.04	26%	5 Sept →
inferno	9–13	-0.01	6%	4 Sept →
dust2	9–13	0.03	16%	2 Sept →
dust2	13–6	0.08	18%	2 Sept →
dust2	15–15	0.00	19%	2 Sept →
cache	9–13	-0.04	24%	2 Sept →
cache	13–3	-0.01	10%	2 Sept →
dust2	16–14	-0.03	15%	1 Sept →
dust2	13–9	0.04	15%	1 Sept →
inferno	6–13	-0.06	9%	1 Sept →
ancient	7–13	-0.04	8%	1 Sept →
inferno	10–13	-0.03	9%	1 Sept →
dust2	11–13	-0.03	8%	31 Aug →
inferno	13–8	0.01	15%	31 Aug →
ancient	9–13	-0.05	12%	31 Aug →
ancient	10–13	-0.06	5%	31 Aug →
dust2	13–1	0.01	21%	31 Aug →
ancient	4–13	-0.02	9%	31 Aug →
cache	11–13	0.04	7%	30 Aug →
ancient	13–9	0.06	18%	30 Aug →
nuke	2–13	-0.06	4%	30 Aug →
nuke	13–9	-0.03	9%	30 Aug →
nuke	10–13	0.00	12%	30 Aug →
dust2	13–11	0.02	12%	30 Aug →
dust2	7–13	0.01	13%	30 Aug →