layer cake — CS2 Stats

76561198168916047[U:1:208650319]Steam profile ↗✓ No bans

261Tracked matches67%Win rate2022Tracked since

CSDB Rating5.6 SolidHybrid Rifler

Premier CS Rating6,922Light Blue band · top ~69.6% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim64

Positioning56

Utility31

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateLWTTTWTLWW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression7.3

Utility3.1

Positioning5.6

Opening Duels2.7

Excellent counter-strafingLimited 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.

Your pro match

Plays most like b1t 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

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. 709ms 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

Aim6.4

Positioning5.6

Utility3.1

Mechanics9.7

Opening Duels2.7

Win Impact10.0

Composite 5.6/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time719ms+12ms

first ⅓ avg 707ms → last ⅓ avg 719ms

Headshot accuracy24.9%+1.0%

first ⅓ avg 23.9% → last ⅓ avg 24.9%

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.

Highlights

0.19Best rating — cache 13–3

13–1Biggest win — ancient

5Longest win streak

6–8In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 60% over 5anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	44	23–21	52%	0.00
mirage	B	20	9–11	45%	-0.01
inferno	C	18	7–11	39%	-0.01
anubis	D	5	1–4	20%	-0.01
ancient	A	5	3–2	60%	0.01
nuke	—	4	2–2	50%	0.01
cache	—	2	1–1	50%	0.07
train	—	1	1–0	100%	-0.00
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.3%Headshot accuracy

28.8%Accuracy (enemy spotted)

30.2%Spray accuracy

93.7%Counter-strafing

9.0°Preaim

709msReaction time

42.3%T opening success

39.2%CT opening success

0.41Enemies flashed / flash

5.6%Flash assists

9.32HE damage / grenade

1.77Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 708.5026ms — above the 700ms 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 0.4089 — 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 39.1914% — 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.

20% win rate across 5 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
mirage	8–13	-0.02	21%	29 Aug →
dust2	13–3	-0.00	33%	29 Aug →
inferno	12–12	-0.04	27%	29 Aug →
mirage	12–12	0.06	12%	22 Aug →
inferno	12–12	-0.02	31%	22 Aug →
mirage	13–9	0.01	22%	21 Jul →
dust2	12–12	-0.05	12%	21 Jul →
dust2	5–13	0.04	23%	21 Jul →
dust2	13–3	0.03	41%	20 Jul →
inferno	13–3	0.01	31%	20 Jul →
dust2	13–8	0.10	25%	20 Jul →
inferno	8–13	0.02	25%	19 Jul →
mirage	7–13	0.00	15%	19 Jul →
dust2	7–13	0.01	13%	19 Jul →
dust2	12–12	0.08	23%	19 Jul →
mirage	13–8	-0.05	22%	19 Jul →
dust2	4–13	0.03	67%	17 Jul →
inferno	13–10	-0.01	15%	16 Jul →
dust2	13–5	0.01	29%	16 Jul →
mirage	13–11	-0.02	27%	14 Jul →
mirage	7–1	-0.12	40%	14 Jul →
mirage	5–13	-0.04	24%	13 Jul →
dust2	13–11	-0.01	29%	13 Jul →
dust2	13–6	0.09	21%	12 Jul →
mirage	13–5	-0.01	18%	12 Jul →
dust2	13–4	0.01	13%	12 Jul →
inferno	11–13	0.05	24%	9 Jul →
inferno	13–8	-0.00	50%	4 Jul →
mirage	12–12	0.00	11%	24 Jun →
dust2	13–5	0.05	7%	24 Jun →
inferno	13–5	0.03	27%	24 Jun →
train	13–5	-0.00	23%	19 Jun →
dust2	13–10	0.04	21%	19 Jun →
dust2	13–10	-0.02	22%	19 Jun →
inferno	12–12	-0.01	16%	17 Jun →
anubis	9–13	-0.04	27%	16 Jun →
dust2	13–11	0.01	13%	16 Jun →
anubis	7–13	-0.07	20%	12 Jun →
dust2	9–13	-0.04	15%	12 Jun →
anubis	14–16	0.00	14%	12 Jun →
ancient	13–5	0.02	19%	12 Jun →
dust2	0–13	-0.03	37%	11 Jun →
dust2	11–13	-0.05	16%	11 Jun →
dust2	13–9	0.07	16%	1 Jun →
mirage	3–13	0.02	7%	30 May →
dust2	13–10	0.00	27%	30 May →
dust2	9–13	-0.05	11%	29 May →
ancient	13–1	0.04	25%	29 May →
dust2	13–11	-0.04	22%	29 May →
inferno	9–13	-0.04	19%	28 May →
inferno	2–13	-0.07	21%	28 May →
dust2	9–13	-0.04	12%	27 May →
dust2	11–13	-0.03	14%	27 May →
dust2	11–13	-0.02	18%	24 May →
nuke	6–13	-0.09	39%	23 May →
inferno	6–13	-0.08	29%	22 May →
dust2	5–13	-0.06	29%	20 May →
ancient	13–8	-0.01	34%	20 May →
ancient	3–13	0.02	25%	18 May →
inferno	13–6	0.03	23%	18 May →
mirage	5–13	-0.03	43%	18 May →
dust2	3–13	-0.05	15%	18 May →
mirage	7–13	-0.06	28%	17 May →
dust2	13–4	0.04	11%	17 May →
dust2	9–13	-0.02	29%	17 May →
dust2	13–8	0.01	45%	17 May →
dust2	13–9	0.01	16%	17 May →
mirage	13–10	0.07	31%	17 May →
mirage	13–9	-0.04	11%	15 May →
dust2	10–13	0.03	13%	14 May →
inferno	5–13	-0.02	39%	14 May →
dust2	13–6	0.03	12%	14 May →
ancient	5–13	0.01	28%	13 May →
dust2	13–9	0.03	23%	13 May →
anubis	13–2	-0.01	12%	13 May →
overpass	15–15	0.01	18%	4 May →
dust2	13–5	0.02	16%	4 May →
inferno	11–13	-0.05	17%	4 May →
dust2	11–13	-0.05	29%	4 May →
inferno	13–10	-0.01	20%	4 May →
inferno	6–13	-0.03	37%	3 May →
dust2	12–16	-0.06	16%	3 May →
dust2	13–9	0.06	22%	3 May →
mirage	11–13	0.03	31%	3 May →
dust2	13–11	-0.03	19%	3 May →
dust2	7–13	-0.01	21%	3 May →
mirage	13–2	-0.01	30%	3 May →
anubis	2–6	0.06	41%	2 May →
mirage	3–13	-0.03	23%	2 May →
mirage	13–11	0.01	21%	2 May →
dust2	5–13	-0.04	31%	2 May →
inferno	13–1	0.03	4%	2 May →
mirage	6–13	-0.06	20%	2 May →
cache	8–13	-0.05	23%	2 May →
cache	13–3	0.19	32%	2 May →
nuke	4–13	0.01	38%	2 May →
dust2	6–13	-0.04	38%	2 May →
nuke	13–9	0.03	15%	1 May →
dust2	13–9	0.01	18%	1 May →
nuke	13–4	0.09	38%	1 May →