[PN] LuKaZo — CS2 Stats

DE76561199801335115[U:1:1841069387]Steam profile ↗✓ No bans

644Tracked matches37%Win rate2024Tracked since

CSDB Rating4.6 DevelopingPositional Player

Premier CS Rating6,163Light Blue band · top ~73.2% of ranked players (population est.)

CSDB Leaderboard#176173 of 230801 tracked

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.

−384Premier CS Rating · 6,547 → 6,163

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. 15 days played since 6 Sep 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 6,163 -2,016 6 Sept – 20 Sept · 15 days played

10,124Peak Premier in tracked matches

15Days played since 2026-09-06

Premier CS Rating

3,961 below peak (10,124)
Next: Blue band at 10,000 — 3,837 to go
Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim71

Positioning54

Utility29

0–100 skill scores via Leetify.

Recent form

COLD40–56–4Last 10040%Win rateLLLLWLWLLW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −2.2pp headshot accuracy · +46ms 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

1–4 · 20% win rate
Avg rating -0.06
Avg headshot accuracy 12%
Avg reaction 655ms

Last 10

3–7 · 30% win rate
Avg rating -0.04
Avg headshot accuracy 14%
Avg reaction 605ms

Last 20

7–13 · 35% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 582ms

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 (+3 against its own average).

Aim7.1

Utility2.9

Positioning5.4

Opening Duels1.5

Clutch0.0

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 sh1ro 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.1

Positioning5.4

Utility2.9

Mechanics7.1

Opening Duels3.6

Win Impact0.6

Composite 4.6/10 (Developing), 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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time583ms+11ms

first ⅓ avg 572ms → last ⅓ avg 583ms

Headshot accuracy13.9%−2.9%

first ⅓ avg 16.8% → last ⅓ avg 13.9%

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

0.07Best match rating · 13–8 · inferno, 19 Sept →

33%Best headshot accuracy · 5–13 · ancient, 9 Sept →

406msFastest reaction time · 13–2 · nuke, 8 Sept →

13–1Biggest win · dust2, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L4Current streak

7–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 55% over 20anubisWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	22	7–15	32%	-0.03
inferno	A	20	11–9	55%	-0.02
ancient	C	19	8–11	42%	-0.03
anubis	D	14	3–11	21%	-0.03
nuke	B	13	7–6	54%	-0.03
cache	D	12	4–8	33%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches

0%Win rate

0.86Avg K/D

70.7ADR

68%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

14.1%Headshot accuracy

34.6%Accuracy (enemy spotted)

37.3%Spray accuracy

82.0%Counter-strafing

8.7°Preaim

578msReaction time

50.4%T opening success

38.3%CT opening success

0.45Enemies flashed / flash

0.4%Flash assists

3.81HE damage / grenade

4.94Flashes / 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 14.08% — 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 0.4456 — 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 38.2883% — 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.

21% win rate across 14 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
anubis	10–13	-0.08	9%	20 Sept →
nuke	7–13	-0.01	12%	19 Sept →
ancient	4–13	-0.13	17%	19 Sept →
anubis	5–13	-0.05	5%	19 Sept →
cache	13–8	-0.02	18%	19 Sept →
dust2	8–13	-0.05	16%	19 Sept →
inferno	13–8	0.07	13%	19 Sept →
nuke	4–13	-0.10	20%	19 Sept →
inferno	6–13	-0.03	14%	19 Sept →
ancient	16–14	-0.02	16%	19 Sept →
ancient	13–4	0.02	15%	19 Sept →
ancient	13–7	-0.05	15%	19 Sept →
inferno	13–7	0.02	16%	19 Sept →
anubis	8–13	-0.01	19%	19 Sept →
ancient	1–13	-0.05	14%	18 Sept →
inferno	10–13	0.04	25%	18 Sept →
anubis	11–13	-0.00	10%	18 Sept →
inferno	13–6	0.03	20%	18 Sept →
anubis	9–13	0.02	11%	18 Sept →
dust2	8–13	-0.06	18%	18 Sept →
dust2	11–13	-0.07	16%	18 Sept →
ancient	11–13	-0.02	10%	18 Sept →
inferno	13–11	-0.03	5%	18 Sept →
anubis	11–13	-0.06	17%	18 Sept →
dust2	10–13	-0.06	7%	18 Sept →
dust2	16–12	-0.04	12%	17 Sept →
dust2	13–1	0.05	17%	17 Sept →
nuke	13–8	-0.08	14%	17 Sept →
cache	10–13	-0.09	11%	17 Sept →
nuke	9–13	-0.04	16%	17 Sept →
inferno	16–12	-0.05	22%	16 Sept →
anubis	8–13	-0.05	3%	16 Sept →
nuke	13–11	-0.01	8%	16 Sept →
inferno	15–15	-0.05	18%	16 Sept →
nuke	10–13	-0.01	24%	16 Sept →
dust2	6–13	-0.05	8%	16 Sept →
inferno	16–12	-0.03	12%	15 Sept →
nuke	13–8	0.03	13%	15 Sept →
cache	7–13	-0.08	24%	15 Sept →
ancient	8–13	-0.00	8%	15 Sept →
ancient	13–7	-0.07	20%	15 Sept →
dust2	5–13	0.07	23%	15 Sept →
dust2	6–13	-0.04	19%	15 Sept →
dust2	13–10	-0.03	21%	15 Sept →
dust2	13–11	-0.02	9%	15 Sept →
anubis	8–13	0.00	12%	14 Sept →
cache	16–13	-0.06	0%	14 Sept →
dust2	13–8	-0.04	22%	14 Sept →
cache	11–13	-0.02	8%	14 Sept →
dust2	10–13	-0.01	21%	14 Sept →
inferno	7–13	-0.07	10%	14 Sept →
inferno	5–13	-0.10	8%	14 Sept →
cache	13–8	0.05	15%	14 Sept →
nuke	13–11	-0.02	19%	14 Sept →
ancient	13–9	-0.01	11%	14 Sept →
dust2	11–13	-0.03	19%	14 Sept →
inferno	8–13	-0.06	11%	14 Sept →
anubis	13–10	-0.05	26%	13 Sept →
nuke	6–13	-0.00	24%	13 Sept →
ancient	6–13	0.01	11%	13 Sept →
inferno	1–13	-0.01	9%	13 Sept →
anubis	2–13	-0.02	26%	13 Sept →
inferno	13–9	0.02	15%	13 Sept →
nuke	13–7	-0.08	15%	13 Sept →
dust2	8–13	-0.08	14%	13 Sept →
ancient	6–13	-0.07	7%	12 Sept →
ancient	13–10	0.03	15%	12 Sept →
nuke	8–13	-0.05	23%	12 Sept →
inferno	13–9	0.02	30%	12 Sept →
anubis	2–13	-0.05	30%	12 Sept →
dust2	4–13	-0.02	22%	12 Sept →
nuke	10–2	0.03	25%	12 Sept →
dust2	16–14	-0.01	23%	12 Sept →
anubis	6–13	-0.07	23%	11 Sept →
anubis	13–6	0.04	26%	11 Sept →
cache	15–15	-0.02	13%	11 Sept →
dust2	12–16	-0.03	19%	11 Sept →
inferno	11–13	0.01	7%	11 Sept →
dust2	4–13	0.01	15%	10 Sept →
ancient	2–13	-0.06	14%	10 Sept →
ancient	6–13	-0.03	16%	10 Sept →
ancient	5–13	-0.03	33%	9 Sept →
cache	6–13	-0.05	16%	9 Sept →
cache	9–13	-0.01	19%	9 Sept →
dust2	8–13	-0.07	10%	9 Sept →
ancient	6–13	-0.06	0%	9 Sept →
cache	13–11	-0.04	7%	8 Sept →
inferno	13–5	-0.02	9%	8 Sept →
ancient	7–13	-0.07	7%	8 Sept →
inferno	16–12	-0.03	14%	8 Sept →
ancient	13–6	0.02	11%	8 Sept →
dust2	3–13	-0.02	21%	8 Sept →
inferno	13–9	-0.03	23%	8 Sept →
nuke	13–2	-0.01	6%	8 Sept →
dust2	13–10	-0.02	17%	8 Sept →
anubis	13–8	-0.05	18%	7 Sept →
cache	15–15	-0.02	17%	7 Sept →
inferno	9–13	-0.03	13%	7 Sept →
ancient	13–2	0.02	13%	7 Sept →
cache	15–15	0.03	15%	6 Sept →