snooze — CS2 Stats

76561198015961619[U:1:55695891]Steam profile ↗✓ No bans

1,890Tracked matches66%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

FaceitLevel 7 · 1,517 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning63

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateLLLWWWLWWW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression8.1

Utility5.3

Positioning6.3

Opening Duels3.1

Clutch4.4

Strong CT-side opener

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 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 51% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.9

Positioning6.3

Utility5.3

Mechanics6.4

Opening Duels3.1

Win Impact10.0

Composite 6.4/10 (Solid), 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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time553ms+2ms

first ⅓ avg 551ms → last ⅓ avg 553ms

Headshot accuracy16.0%+2.1%

first ⅓ avg 13.9% → last ⅓ avg 16.0%

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

0.17Best rating — dust2 13–1

13–1Biggest win — dust2

7Longest win streak

L3Current streak

6–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 70% over 10nukeWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	19	8–11	42%	0.01
dust2	S	17	11–6	65%	0.02
anubis	C	16	6–10	38%	0.01
nuke	C	14	5–9	36%	-0.00
inferno	S	10	7–3	70%	0.01
ancient	A	9	5–4	56%	0.02
cache	B	8	4–4	50%	0.00
overpass	A	5	3–2	60%	-0.03
boulder	—	1	1–0	100%	0.08
train	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

516Matches

52%Win rate

1.05Avg K/D

79.7ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	92	40%	1.00	15.1
Inferno	90	46%	1.02	14.4
Ancient	68	53%	1.09	16.3
Anubis	53	53%	1.05	15.1
Vertigo	47	53%	1.01	14.0
Nuke	39	56%	1.20	14.4
Overpass	33	58%	0.85	14.0
Dust2	26	50%	1.07	15.8

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.

15.5%Headshot accuracy

40.3%Accuracy (enemy spotted)

42.3%Spray accuracy

78.7%Counter-strafing

9.9°Preaim

556msReaction time

34.2%T opening success

50.6%CT opening success

0.65Enemies flashed / flash

5.4%Flash assists

6.87HE damage / grenade

7.51Flashes / 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 34.2355% — below the 40% mark we flag

Spend your practice time on Nuke

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.04	15%	11 Jul →
mirage	2–13	-0.09	8%	11 Jul →
inferno	8–13	-0.02	26%	11 Jul →
nuke	13–11	0.01	11%	11 Jul →
dust2	16–13	0.01	10%	11 Jul →
dust2	13–1	0.17	23%	11 Jul →
nuke	8–13	-0.03	23%	11 Jul →
boulder	13–9	0.08	20%	11 Jul →
dust2	13–6	0.04	13%	11 Jul →
mirage	13–8	0.06	14%	11 Jul →
anubis	9–13	0.13	8%	11 Jul →
inferno	1–13	0.01	12%	5 Jul →
dust2	13–6	0.03	8%	3 Jul →
nuke	13–8	-0.01	6%	3 Jul →
mirage	12–12	0.04	16%	29 Jun →
cache	13–6	-0.04	14%	27 Jun →
anubis	13–10	0.05	23%	27 Jun →
dust2	10–2	0.05	16%	27 Jun →
cache	13–9	-0.01	19%	27 Jun →
mirage	13–5	0.07	12%	27 Jun →
ancient	13–6	-0.03	9%	27 Jun →
inferno	13–5	0.01	20%	27 Jun →
nuke	4–13	-0.02	22%	27 Jun →
dust2	13–11	0.03	14%	21 Jun →
mirage	13–1	0.14	24%	21 Jun →
mirage	10–13	-0.03	13%	21 Jun →
nuke	5–13	0.02	13%	21 Jun →
inferno	13–9	-0.01	24%	21 Jun →
cache	13–8	-0.02	10%	21 Jun →
anubis	10–13	-0.07	23%	20 Jun →
ancient	13–7	0.03	20%	26 May →
cache	8–13	0.00	17%	26 May →
cache	12–12	-0.02	24%	25 May →
cache	1–13	-0.03	30%	21 May →
cache	9–13	0.05	11%	11 May →
ancient	6–13	-0.03	18%	11 May →
mirage	13–10	-0.01	14%	10 May →
cache	13–3	0.06	23%	10 May →
anubis	10–13	-0.01	14%	4 Apr →
nuke	10–13	-0.00	11%	4 Apr →
inferno	13–2	0.04	18%	4 Apr →
anubis	15–15	0.02	19%	3 Apr →
nuke	13–3	0.10	27%	3 Apr →
ancient	13–10	0.01	24%	3 Apr →
overpass	9–4	-0.05	0%	31 Mar →
nuke	6–13	-0.13	19%	30 Mar →
mirage	5–13	0.03	7%	29 Mar →
anubis	13–11	-0.03	17%	28 Mar →
mirage	11–13	-0.06	14%	28 Mar →
anubis	7–13	0.05	15%	25 Mar →
nuke	6–13	0.06	14%	25 Mar →
mirage	13–10	0.02	13%	22 Mar →
inferno	13–3	0.10	15%	22 Mar →
inferno	9–13	-0.00	12%	22 Mar →
ancient	10–0	0.12	24%	22 Mar →
nuke	13–5	0.01	10%	22 Mar →
overpass	1–13	-0.07	32%	21 Mar →
ancient	8–13	-0.02	16%	21 Mar →
dust2	13–11	-0.01	17%	21 Mar →
dust2	13–16	-0.04	12%	21 Mar →
mirage	13–8	0.00	17%	21 Mar →
anubis	13–3	0.01	12%	21 Mar →
nuke	9–13	0.04	14%	20 Mar →
ancient	6–13	0.05	13%	20 Mar →
nuke	6–13	-0.02	10%	20 Mar →
anubis	13–6	0.00	5%	20 Mar →
dust2	5–13	0.00	9%	20 Mar →
inferno	13–11	0.02	6%	20 Mar →
anubis	15–15	-0.04	12%	20 Mar →
overpass	13–7	0.05	6%	19 Mar →
nuke	13–9	0.02	3%	19 Mar →
ancient	13–10	-0.02	18%	15 Mar →
anubis	11–13	-0.01	24%	14 Mar →
mirage	8–13	-0.02	21%	14 Mar →
overpass	13–10	-0.02	19%	14 Mar →
mirage	11–13	0.04	13%	14 Mar →
anubis	13–4	0.12	21%	13 Mar →
mirage	12–12	-0.01	17%	13 Mar →
dust2	9–13	0.01	17%	13 Mar →
dust2	8–13	-0.03	8%	12 Mar →
dust2	13–2	0.09	21%	12 Mar →
ancient	7–13	0.06	13%	12 Mar →
train	13–10	-0.06	9%	12 Mar →
anubis	13–9	0.06	14%	9 Mar →
mirage	13–5	0.15	21%	8 Mar →
dust2	13–6	0.01	11%	7 Mar →
dust2	13–5	0.03	11%	7 Mar →
anubis	6–13	-0.01	7%	7 Mar →
mirage	2–13	-0.09	15%	22 Feb →
inferno	13–6	-0.01	10%	14 Feb →
dust2	13–11	-0.01	12%	7 Dec →
nuke	3–13	-0.08	13%	7 Dec →
overpass	3–13	-0.05	10%	7 Dec →
mirage	13–7	-0.05	16%	6 Dec →
anubis	12–12	-0.01	16%	6 Dec →
inferno	13–7	-0.01	5%	6 Dec →
mirage	6–13	-0.04	16%	6 Dec →
dust2	8–13	-0.03	27%	29 Nov →
mirage	12–12	-0.04	8%	10 Nov →
dust2	4–13	-0.05	19%	10 Nov →