cozyboy — CS2 Stats

MH76561198292556862[U:1:332291134]Steam profile ↗✓ No bans

1,371Tracked matches37%Win rate2020Tracked since

1,519Hours in CS

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating21,575Pink band · top ~6.8% of ranked players (population est.)

CSDB Leaderboard#6358 of 18282 tracked

FaceitLevel 10 · 1,943 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	49.2%	52.8%
Shot accuracy	15.0%	13.7%
Kill/death ratio	1.06	1.08
Match win rate	51.6%	49.2%

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Performance scores

Aim85

Positioning48

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWLWLLLWLWL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

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

Aim8.5

Aggression5.1

Utility4.5

Positioning4.8

Opening Duels2.1

Clutch4.2

Sharp aimerStrong CT-side openerLimited 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 NiKo 91% playstyle similarity

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

Where you differ: 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 46% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.5

Positioning4.8

Utility4.5

Mechanics7.9

Opening Duels2.1

Win Impact0.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time551ms−54ms

first ⅓ avg 605ms → last ⅓ avg 551ms

Headshot accuracy20.9%−4.9%

first ⅓ avg 25.7% → last ⅓ avg 20.9%

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

0.12Best rating — cache 11–13

13–1Biggest win — nuke

6Longest win streak

7–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 56% over 18infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	0.01
cache	B	22	11–11	50%	0.02
dust2	A	18	10–8	56%	-0.00
nuke	B	15	7–8	47%	-0.00
inferno	C	14	5–9	36%	0.01
anubis	—	4	3–1	75%	0.03
ancient	—	3	2–1	67%	-0.04

Across the last 100 tracked matches.

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

Lifetime stats

66,071Lifetime kills

1.06K/D

1,920Matches

51.6%Match win rate · Top 50% of Level 10 players

49.2%Headshot %

15.0%Shot accuracy · Top 50% of Level 10 players

5,616MVPs

1,519Hours (in match)

3,471Bombs planted

771Bombs defused

Most-used weapons

AK-4723,091

M4A4 / M4A1-S11,469

Desert Eagle4,981

AWP4,737

P2000 / USP-S3,661

Glock-182,857

SG 5532,765

Galil AR1,917

FAMAS1,757

AUG1,697

Lifetime map wins

6,859inferno

1,942nuke

1,829dust2

1,324train

632vertigo

416cbble

25lake

16bank

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

785Matches

55%Win rate

1.21Avg K/D

83.6ADR

48%Headshot %

Clutches & streaks

41%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	57	58%	1.24	17.8
Dust2	30	53%	0.88	16.1
Cache	28	50%	1.21	18.3
Anubis	26	58%	1.18	15.1
Inferno	25	48%	1.19	19.0
Nuke	21	48%	1.12	16.6
Ancient	16	31%	0.90	14.4
Overpass	5	40%	1.29	16.2

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.

20.8%Headshot accuracy

36.8%Accuracy (enemy spotted)

40.6%Spray accuracy

85.3%Counter-strafing

9.6°Preaim

540msReaction time

30.5%T opening success

46.1%CT opening success

0.57Enemies flashed / flash

4.2%Flash assists

9.24HE damage / grenade

4.22Flashes / 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 30.5317% — 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.

36% 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	13–5	0.02	17%	26 Aug →
cache	14–16	0.05	11%	26 Aug →
dust2	13–4	0.10	27%	26 Aug →
nuke	6–13	-0.02	7%	25 Aug →
inferno	13–16	-0.01	19%	21 Aug →
nuke	5–13	0.02	34%	21 Aug →
mirage	13–8	0.03	22%	21 Aug →
dust2	9–13	-0.00	17%	20 Aug →
dust2	13–3	0.04	21%	20 Aug →
cache	5–13	-0.04	22%	19 Aug →
mirage	9–13	-0.04	11%	18 Aug →
dust2	8–13	-0.02	28%	18 Aug →
anubis	13–10	0.05	23%	16 Aug →
nuke	13–4	0.08	28%	16 Aug →
cache	4–13	-0.01	18%	16 Aug →
mirage	14–16	0.01	23%	15 Aug →
cache	13–7	0.04	23%	15 Aug →
cache	6–13	0.05	23%	15 Aug →
nuke	13–2	-0.00	15%	15 Aug →
mirage	9–13	0.02	26%	14 Aug →
cache	13–7	0.09	17%	14 Aug →
dust2	13–7	-0.07	23%	13 Aug →
ancient	13–11	-0.04	17%	13 Aug →
inferno	10–13	0.07	28%	11 Aug →
mirage	8–13	-0.04	18%	9 Aug →
mirage	9–13	0.07	27%	8 Aug →
nuke	0–13	-0.05	23%	6 Aug →
anubis	6–13	0.01	23%	6 Aug →
mirage	9–13	0.00	22%	4 Aug →
cache	7–13	-0.09	17%	3 Aug →
dust2	9–13	-0.05	26%	3 Aug →
dust2	6–13	-0.02	21%	3 Aug →
cache	7–13	-0.00	12%	3 Aug →
cache	13–3	0.01	25%	3 Aug →
dust2	13–5	0.04	29%	2 Aug →
cache	13–9	0.06	22%	2 Aug →
nuke	11–13	-0.00	36%	2 Aug →
cache	7–13	-0.01	18%	2 Aug →
mirage	12–12	-0.00	21%	2 Aug →
inferno	10–13	0.00	20%	2 Aug →
mirage	13–11	-0.00	20%	1 Aug →
mirage	13–16	0.01	22%	31 Jul →
inferno	8–13	-0.03	19%	31 Jul →
nuke	15–15	0.01	17%	30 Jul →
mirage	13–7	0.04	38%	30 Jul →
ancient	13–11	-0.05	15%	30 Jul →
cache	13–8	-0.01	19%	30 Jul →
dust2	4–13	-0.01	38%	29 Jul →
inferno	13–8	0.01	21%	29 Jul →
cache	13–8	-0.01	24%	29 Jul →
dust2	13–7	0.05	23%	27 Jul →
dust2	12–16	-0.05	26%	26 Jul →
mirage	16–12	-0.01	17%	26 Jul →
mirage	12–16	-0.00	26%	26 Jul →
inferno	11–13	0.05	25%	26 Jul →
nuke	6–13	-0.04	27%	26 Jul →
mirage	13–8	-0.04	16%	25 Jul →
mirage	13–5	0.07	30%	25 Jul →
ancient	10–13	-0.01	20%	25 Jul →
cache	13–8	0.10	26%	25 Jul →
inferno	3–13	-0.01	34%	24 Jul →
nuke	13–7	0.03	23%	23 Jul →
inferno	10–13	0.02	13%	23 Jul →
cache	13–9	0.04	23%	22 Jul →
cache	3–13	-0.07	20%	22 Jul →
mirage	13–11	-0.01	31%	21 Jul →
mirage	8–13	-0.02	20%	21 Jul →
dust2	13–8	0.02	33%	20 Jul →
anubis	13–9	0.02	30%	19 Jul →
mirage	13–3	0.04	22%	19 Jul →
inferno	16–14	0.07	23%	19 Jul →
dust2	17–19	0.01	19%	19 Jul →
cache	13–3	0.05	37%	19 Jul →
dust2	13–11	-0.01	31%	19 Jul →
nuke	13–1	-0.03	15%	18 Jul →
anubis	16–14	0.06	23%	18 Jul →
inferno	13–8	-0.02	32%	18 Jul →
inferno	13–5	-0.01	20%	18 Jul →
mirage	6–13	-0.04	33%	17 Jul →
nuke	13–8	0.09	30%	16 Jul →
nuke	5–13	-0.06	24%	16 Jul →
mirage	13–10	0.02	29%	16 Jul →
dust2	13–10	0.00	34%	16 Jul →
cache	13–7	-0.01	25%	16 Jul →
nuke	13–5	-0.03	20%	16 Jul →
cache	11–13	0.01	22%	15 Jul →
dust2	11–1	-0.04	29%	15 Jul →
mirage	13–7	0.03	19%	15 Jul →
cache	11–13	-0.03	20%	15 Jul →
nuke	14–16	-0.01	15%	14 Jul →
mirage	8–13	-0.04	16%	14 Jul →
mirage	13–9	0.02	25%	13 Jul →
cache	11–13	0.12	30%	13 Jul →
cache	16–12	0.00	23%	12 Jul →
inferno	4–13	-0.04	43%	12 Jul →
mirage	8–13	-0.01	34%	12 Jul →
inferno	15–15	0.01	29%	12 Jul →
nuke	13–1	0.02	11%	12 Jul →
inferno	13–7	0.01	37%	12 Jul →
dust2	12–16	-0.07	15%	11 Jul →