sleepy — CS2 Stats

76561198041594536[U:1:81328808]

1,243Tracked matches54%Win rate2020Tracked since

CSDB Rating5.3 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim64

Positioning47

Utility51

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateLLLLLLLWLW

Last 10 vs previous 10: -50pp win rate · -0.00 avg rating

Player DNA

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

Aim6.4

Aggression5.5

Utility5.1

Positioning4.7

Opening Duels1.1

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 NiKo 86% playstyle similarity

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

Where you differ: 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. 584ms 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

Positioning4.7

Utility5.1

Mechanics6.1

Opening Duels1.1

Win Impact6.3

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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time590ms+6ms

first ⅓ avg 585ms → last ⅓ avg 590ms

Headshot accuracy18.1%−1.6%

first ⅓ avg 19.7% → last ⅓ avg 18.1%

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.

Highlights

0.15Best rating — dust2 13–6

13–1Biggest win — agency

4Longest win streak

L7Current streak

8–5In matches decided by ≤2 rounds

Map breakdown

officeBest map · 53% over 30infernoWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	15–18	45%	0.02
office	B	30	16–14	53%	0.01
inferno	C	14	6–8	43%	0.00
agency	B	10	5–5	50%	0.02
overpass	—	4	1–3	25%	-0.06
shelter	—	2	0–2	0%	0.00
cache	—	2	2–0	100%	0.01
italy	—	2	1–1	50%	0.03
nuke	—	1	1–0	100%	-0.01
alpine	—	1	0–1	0%	-0.07
warden	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno 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.

17.8%Headshot accuracy

31.5%Accuracy (enemy spotted)

34.1%Spray accuracy

77.6%Counter-strafing

9.0°Preaim

584msReaction time

30.8%T opening success

38.1%CT opening success

0.56Enemies flashed / flash

6.3%Flash assists

4.21HE damage / grenade

15.27Flashes / 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.

Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 30.8101% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	4–13	-0.02	23%	24 Jul →
office	6–13	-0.03	27%	24 Jul →
shelter	11–13	0.04	22%	13 Jul →
office	3–13	-0.03	29%	13 Jul →
shelter	10–13	-0.03	18%	12 Jul →
office	11–13	0.02	20%	12 Jul →
office	4–13	-0.03	17%	2 Jun →
cache	13–7	-0.01	10%	30 May →
inferno	6–13	-0.04	17%	30 May →
office	13–3	0.08	18%	13 May →
dust2	13–11	0.04	12%	7 May →
cache	13–4	0.03	16%	7 May →
dust2	13–6	-0.01	19%	28 Apr →
dust2	8–13	0.03	17%	28 Apr →
office	13–11	0.01	20%	23 Apr →
inferno	13–7	-0.01	16%	22 Apr →
dust2	12–12	-0.02	12%	19 Apr →
office	13–5	0.03	22%	15 Apr →
dust2	9–13	-0.04	30%	13 Apr →
overpass	13–7	-0.06	6%	12 Apr →
dust2	12–12	-0.03	20%	10 Apr →
inferno	13–3	0.07	12%	10 Apr →
dust2	13–11	0.06	17%	9 Apr →
inferno	5–13	-0.03	20%	25 Mar →
office	5–1	0.08	32%	25 Mar →
inferno	9–13	-0.01	17%	21 Mar →
office	13–11	0.01	15%	20 Mar →
dust2	12–12	-0.01	17%	20 Mar →
dust2	12–12	0.03	12%	19 Mar →
office	13–6	0.05	13%	19 Mar →
dust2	13–8	0.05	17%	17 Mar →
dust2	13–10	-0.03	16%	16 Mar →
inferno	5–13	-0.07	19%	16 Mar →
dust2	13–9	-0.01	12%	13 Mar →
dust2	11–13	0.01	21%	9 Mar →
inferno	2–13	-0.01	13%	9 Mar →
italy	8–13	-0.01	14%	7 Mar →
office	13–5	-0.03	11%	7 Mar →
dust2	13–10	-0.00	17%	7 Mar →
dust2	10–13	0.06	17%	4 Mar →
office	13–5	-0.03	15%	3 Mar →
dust2	9–13	-0.03	16%	26 Feb →
dust2	13–11	0.02	24%	25 Feb →
inferno	13–4	0.08	10%	24 Feb →
dust2	12–12	0.00	13%	24 Feb →
inferno	4–13	-0.02	11%	2 Feb →
inferno	13–6	0.06	10%	30 Jan →
dust2	13–9	-0.01	8%	30 Jan →
nuke	13–11	-0.01	18%	30 Jan →
office	7–13	-0.04	18%	24 Jan →
dust2	5–13	0.03	17%	24 Jan →
dust2	13–9	0.04	12%	24 Jan →
alpine	9–13	-0.07	7%	23 Jan →
warden	13–7	0.10	16%	22 Jan →
inferno	13–7	0.11	10%	20 Jan →
office	9–13	-0.01	16%	18 Jan →
overpass	7–13	-0.07	14%	17 Jan →
dust2	13–11	0.04	16%	10 Jan →
office	5–13	-0.03	19%	9 Jan →
agency	8–13	-0.04	28%	8 Jan →
office	13–3	-0.04	24%	8 Jan →
office	13–11	0.13	23%	6 Jan →
dust2	13–6	0.15	15%	6 Jan →
office	9–13	-0.00	15%	5 Jan →
agency	13–5	-0.02	11%	5 Jan →
office	13–7	0.06	21%	4 Jan →
office	5–13	0.01	14%	28 Dec →
dust2	13–5	0.07	24%	28 Dec →
agency	13–2	0.05	18%	27 Dec →
office	4–13	0.06	26%	27 Dec →
dust2	11–13	0.04	23%	27 Dec →
agency	7–13	0.03	23%	26 Dec →
overpass	2–13	-0.11	5%	26 Dec →
dust2	9–13	0.04	32%	26 Dec →
overpass	4–13	-0.01	20%	26 Dec →
inferno	3–13	-0.01	12%	22 Dec →
office	12–12	-0.02	14%	22 Dec →
agency	13–2	-0.00	26%	22 Dec →
office	13–9	0.04	18%	18 Dec →
office	12–12	-0.02	21%	17 Dec →
agency	12–12	0.12	19%	16 Dec →
italy	6–2	0.07	35%	16 Dec →
inferno	13–5	-0.00	26%	16 Dec →
agency	7–13	-0.00	15%	9 Dec →
office	13–9	0.02	21%	9 Dec →
agency	5–13	-0.01	5%	8 Dec →
office	9–13	-0.05	20%	7 Dec →
dust2	3–13	-0.06	29%	7 Dec →
inferno	10–13	-0.04	10%	5 Dec →
dust2	13–10	0.04	13%	5 Dec →
office	13–5	-0.04	12%	4 Dec →
dust2	11–13	0.04	16%	1 Dec →
office	13–9	0.07	23%	1 Dec →
office	13–8	0.01	17%	30 Nov →
agency	13–5	0.00	24%	30 Nov →
dust2	9–13	0.01	26%	30 Nov →
office	2–13	-0.05	31%	26 Nov →
dust2	13–4	0.05	16%	25 Nov →
agency	13–1	0.05	14%	24 Nov →
dust2	9–13	-0.01	21%	24 Nov →