Cozmoz — CS2 Stats

76561197960339778[U:1:74050]Steam profile ↗✓ No bans

821Tracked matches34%Win rate2023Tracked since

CSDB Rating4.2 DevelopingHybrid Rifler

FaceitLevel 4 · 1,072 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning38

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWWWWLWLLLL

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating

Player DNA

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

Aim6.1

Aggression4.8

Utility5.5

Positioning3.8

Opening Duels1.3

Clutch1.2

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 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 46% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 658ms 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

Aim6.1

Positioning3.8

Utility5.5

Mechanics6.6

Opening Duels2.1

Win Impact0.0

Composite 4.2/10 (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-0.03−0.03

first ⅓ avg 0.00 → last ⅓ avg -0.03

Reaction time651ms−5ms

first ⅓ avg 657ms → last ⅓ avg 651ms

Headshot accuracy14.9%−2.0%

first ⅓ avg 16.8% → last ⅓ avg 14.9%

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

0.13Best rating — nuke 13–5

13–1Biggest win — cache

8Longest win streak

W4Current streak

9–12In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 59% over 22overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	13–9	59%	-0.01
inferno	A	22	12–10	55%	-0.02
ancient	C	19	8–11	42%	-0.00
anubis	C	10	4–6	40%	-0.02
overpass	D	6	2–4	33%	-0.03
cache	C	5	2–3	40%	-0.02
vertigo	—	4	0–4	0%	-0.07
train	—	4	1–3	25%	-0.02
mirage	—	4	1–3	25%	-0.04
dust2	—	3	0–3	0%	-0.07
poseidon	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

141Matches

52%Win rate

0.80Avg K/D

65.1ADR

45%Headshot %

Clutches & streaks

26%1v1 clutch win

14%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	42	48%	0.83	12.6
Ancient	29	41%	0.71	11.7
Nuke	29	66%	0.85	13.7
Cache	10	70%	0.92	12.5
Vertigo	7	14%	0.60	9.9
Mirage	7	57%	0.88	11.6
Dust2	7	71%	0.74	10.4
Anubis	4	50%	0.86	13.3

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.

15.6%Headshot accuracy

35.5%Accuracy (enemy spotted)

35.6%Spray accuracy

79.8%Counter-strafing

9.5°Preaim

658msReaction time

24.4%T opening success

46.4%CT opening success

0.54Enemies flashed / flash

3.4%Flash assists

10.57HE damage / grenade

9.32Flashes / 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 24.3714% — below the 40% mark we flag

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–5	0.00	17%	28 Aug →
cache	13–5	0.09	10%	25 Aug →
nuke	13–8	-0.06	19%	9 Aug →
nuke	13–10	0.00	16%	31 Jul →
nuke	9–13	0.06	17%	30 Jul →
inferno	13–6	-0.01	10%	30 Jul →
anubis	11–13	-0.07	21%	30 Jul →
vertigo	11–13	-0.06	10%	30 Jul →
ancient	2–13	-0.06	10%	23 Jul →
dust2	11–13	-0.05	20%	23 Jul →
nuke	7–13	-0.03	18%	22 Jul →
cache	6–13	-0.08	10%	22 Jul →
ancient	6–13	0.00	16%	22 Jul →
inferno	8–8	-0.18	12%	6 Jul →
nuke	5–9	-0.13	19%	6 Jul →
nuke	9–3	-0.09	7%	6 Jul →
cache	6–13	-0.08	19%	2 Jul →
anubis	7–13	-0.04	16%	26 Jun →
inferno	7–13	-0.04	24%	26 Jun →
train	12–12	0.06	17%	21 Jun →
inferno	13–8	-0.05	9%	20 Jun →
ancient	13–8	0.02	22%	20 Jun →
anubis	11–13	-0.01	10%	13 Jun →
inferno	10–13	-0.02	27%	13 Jun →
ancient	13–16	0.02	23%	12 Jun →
ancient	13–10	0.05	10%	12 Jun →
nuke	11–13	-0.03	16%	12 Jun →
overpass	7–13	-0.06	16%	9 Jun →
mirage	1–13	-0.10	12%	1 Jun →
overpass	9–13	-0.07	15%	1 Jun →
ancient	13–8	0.02	18%	1 Jun →
anubis	0–13	-0.11	0%	30 May →
nuke	13–6	0.02	5%	26 May →
inferno	13–10	0.03	30%	26 May →
anubis	11–13	0.01	14%	23 May →
nuke	10–13	0.04	21%	21 May →
inferno	7–13	-0.04	11%	19 May →
nuke	13–9	0.07	10%	19 May →
overpass	13–11	0.01	13%	18 May →
inferno	4–13	-0.07	13%	18 May →
ancient	14–16	0.02	10%	18 May →
inferno	13–11	-0.04	12%	17 May →
dust2	6–13	-0.11	14%	17 May →
ancient	13–11	-0.07	21%	17 May →
ancient	5–13	-0.02	16%	10 May →
overpass	8–13	-0.06	10%	10 May →
cache	13–1	0.03	0%	9 May →
cache	6–13	-0.04	9%	9 May →
train	13–11	-0.02	26%	8 May →
dust2	5–13	-0.06	17%	8 May →
inferno	11–13	-0.05	5%	2 May →
anubis	7–13	0.02	17%	2 May →
ancient	11–13	-0.03	24%	2 May →
overpass	13–10	-0.01	1%	2 May →
vertigo	7–13	-0.09	18%	2 May →
nuke	8–13	-0.08	17%	28 Apr →
inferno	2–13	-0.04	13%	28 Apr →
overpass	8–13	0.03	16%	28 Apr →
mirage	5–13	-0.03	8%	28 Apr →
train	8–13	-0.05	6%	27 Apr →
mirage	11–13	-0.01	14%	26 Apr →
anubis	13–11	-0.04	14%	26 Apr →
train	8–13	-0.08	17%	26 Apr →
inferno	13–8	-0.02	20%	14 Apr →
inferno	13–10	-0.05	19%	14 Apr →
ancient	13–10	-0.02	9%	11 Apr →
nuke	13–6	-0.02	9%	11 Apr →
inferno	9–13	-0.04	32%	11 Apr →
ancient	13–4	0.03	22%	11 Apr →
nuke	13–10	0.00	13%	7 Apr →
inferno	13–5	0.01	18%	7 Apr →
nuke	7–13	-0.02	11%	5 Apr →
inferno	12–16	-0.02	20%	5 Apr →
ancient	4–13	-0.01	18%	5 Apr →
nuke	13–11	-0.07	15%	19 Mar →
nuke	11–13	-0.00	22%	18 Mar →
ancient	9–13	0.05	18%	17 Mar →
nuke	16–14	-0.05	14%	16 Mar →
ancient	4–13	-0.06	15%	16 Mar →
inferno	9–7	-0.02	18%	16 Mar →
nuke	13–1	0.10	10%	13 Mar →
inferno	13–8	0.02	16%	8 Mar →
inferno	13–2	0.05	21%	8 Mar →
ancient	13–10	-0.02	15%	3 Mar →
inferno	16–12	-0.01	17%	3 Mar →
nuke	13–5	0.13	23%	26 Feb →
anubis	13–10	0.04	9%	26 Feb →
nuke	11–13	-0.05	22%	25 Feb →
mirage	13–7	-0.04	20%	25 Feb →
inferno	9–5	0.04	11%	22 Feb →
poseidon	9–5	0.11	17%	22 Feb →
inferno	9–13	0.01	23%	18 Feb →
ancient	8–13	-0.02	16%	17 Feb →
anubis	16–14	0.01	13%	17 Feb →
ancient	13–3	0.02	14%	17 Feb →
nuke	13–10	-0.03	12%	15 Feb →
anubis	13–7	-0.00	9%	15 Feb →
ancient	15–15	0.01	17%	15 Feb →
vertigo	9–13	-0.07	24%	13 Feb →
vertigo	12–12	-0.05	12%	13 Feb →