Cosmic — CS2 Stats

76561199073367443[U:1:1113101715]Steam profile ↗✓ No bans

391Tracked matches42%Win rate2025Tracked since

CSDB Rating4.9 DevelopingPositional Player

CSDB Leaderboard#50412 of 247972 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 391

+3.8ppWin rate · 38.5% → 42.3%

Rating over time

Premier CS Rating: 22,256 -348 29 Jul – 3 Sept · 6 days played

22,604Peak Premier in tracked matches

33Days played since 2026-07-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim76

Positioning49

Utility13

0–100 skill scores via Leetify.

Recent form

COLD50–42–8Last 10050%Win rateLWLWWLLLTT

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −3.1pp headshot accuracy · +22ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.05
Avg headshot accuracy 23%
Avg reaction 550ms

Last 10

3–5–2 · 30% win rate
Avg rating -0.05
Avg headshot accuracy 20%
Avg reaction 574ms

Last 20

8–9–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 22%
Avg reaction 563ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.6

Utility1.3

Positioning4.9

Opening Duels2.5

Clutch3.2

Limited 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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ropz 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

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

Reaction time. 585ms 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

Aim7.6

Positioning4.9

Utility1.3

Mechanics6.7

Opening Duels1.7

Win Impact2.4

Composite 4.9/10 (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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time587ms+88ms

first ⅓ avg 499ms → last ⅓ avg 587ms

Headshot accuracy19.5%+3.1%

first ⅓ avg 16.4% → last ⅓ avg 19.5%

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.

Personal bests

0.18Best match rating · 9–4 · inferno, 31 Jul →

53%Best headshot accuracy · 12–12 · office, 26 Aug →

289msFastest reaction time · 9–4 · inferno, 31 Jul →

13–1Biggest win · ancient, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

Map breakdown

anubisBest map · 64% over 11nukeWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
office	B	17	9–8	53%	-0.02
anubis	A	11	7–4	64%	-0.01
cache	C	9	4–5	44%	-0.01
nuke	D	9	3–6	33%	-0.04
vertigo	A	8	5–3	63%	-0.03
ancient	B	8	4–4	50%	0.00
overpass	B	8	4–4	50%	-0.03
mirage	B	6	3–3	50%	-0.04
train	D	6	2–4	33%	-0.01
inferno	A	5	3–2	60%	0.00
dust2	—	4	0–4	0%	-0.04
italy	—	3	1–2	33%	-0.01
boulder	—	3	2–1	67%	0.03
fachwerk	—	2	2–0	100%	0.03
shelter	—	1	1–0	100%	-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

27Matches

44%Win rate

0.88Avg K/D

60.8ADR

34%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	8	38%	0.93	12.1
Anubis	7	57%	0.98	11.9
Dust2	4	25%	0.78	13.0
Vertigo	2	100%	0.54	7.5
Cache	2	0%	0.82	12.5
Mirage	2	50%	0.86	10.0
Inferno	1	100%	1.13	17.0
Nuke	1	0%	0.63	12.0

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.

19.0%Headshot accuracy

34.1%Accuracy (enemy spotted)

38.3%Spray accuracy

80.1%Counter-strafing

8.2°Preaim

585msReaction time

30.8%T opening success

42.5%CT opening success

0.20Enemies flashed / flash

3.8%Flash assists

3.68HE damage / grenade

3.16Flashes / 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.

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 0.2045 — below the 0.5 mark we flag
Grenade Lineups →
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 30.823% — 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.

33% win rate across 9 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	2–13	-0.10	40%	1 Oct →
office	13–3	-0.04	21%	1 Oct →
cache	8–13	0.01	17%	28 Sept →
mirage	13–3	-0.03	13%	24 Sept →
mirage	13–8	-0.07	23%	22 Sept →
dust2	2–13	-0.04	22%	22 Sept →
vertigo	2–13	-0.07	29%	1 Sept →
nuke	7–13	-0.05	14%	31 Aug →
ancient	12–12	-0.02	16%	27 Aug →
train	12–12	-0.07	7%	27 Aug →
overpass	7–13	-0.05	19%	27 Aug →
mirage	9–13	-0.00	19%	27 Aug →
office	12–12	0.01	53%	26 Aug →
office	13–3	0.02	26%	26 Aug →
office	7–3	-0.05	29%	26 Aug →
office	13–4	-0.05	25%	25 Aug →
italy	9–13	0.01	28%	25 Aug →
vertigo	13–8	-0.02	3%	25 Aug →
anubis	1–13	-0.11	15%	24 Aug →
cache	13–4	0.04	15%	24 Aug →
overpass	6–13	-0.08	13%	24 Aug →
nuke	13–11	-0.07	17%	23 Aug →
overpass	13–8	0.00	15%	23 Aug →
anubis	5–13	-0.02	7%	23 Aug →
anubis	12–12	0.03	18%	23 Aug →
vertigo	2–13	-0.03	8%	22 Aug →
vertigo	13–2	0.09	17%	22 Aug →
vertigo	6–13	-0.13	13%	22 Aug →
train	3–13	-0.01	0%	21 Aug →
office	2–9	-0.07	38%	20 Aug →
office	7–13	-0.08	36%	20 Aug →
overpass	13–6	-0.01	14%	19 Aug →
anubis	13–4	0.04	15%	18 Aug →
nuke	0–13	-0.10	10%	18 Aug →
cache	5–13	-0.06	12%	18 Aug →
vertigo	13–9	-0.04	11%	16 Aug →
ancient	10–13	0.00	6%	16 Aug →
anubis	13–4	0.02	8%	16 Aug →
ancient	13–1	0.04	21%	16 Aug →
overpass	11–13	-0.07	13%	15 Aug →
office	8–13	-0.08	22%	15 Aug →
cache	5–13	0.04	26%	15 Aug →
office	13–8	0.05	50%	15 Aug →
office	13–5	-0.00	19%	15 Aug →
office	13–4	-0.00	28%	15 Aug →
train	10–13	-0.04	11%	13 Aug →
dust2	12–12	-0.08	6%	13 Aug →
ancient	4–13	-0.11	22%	12 Aug →
nuke	7–13	-0.06	10%	12 Aug →
train	13–7	0.11	25%	12 Aug →
nuke	2–9	-0.20	16%	12 Aug →
overpass	13–4	-0.01	19%	12 Aug →
anubis	13–2	0.01	3%	11 Aug →
office	5–13	-0.01	6%	9 Aug →
ancient	13–3	0.01	13%	9 Aug →
overpass	13–4	0.03	16%	9 Aug →
nuke	9–3	0.15	14%	9 Aug →
inferno	13–1	-0.03	19%	9 Aug →
office	2–13	-0.03	15%	9 Aug →
office	13–9	-0.02	20%	9 Aug →
dust2	1–5	0.02	50%	9 Aug →
anubis	13–4	0.02	3%	9 Aug →
cache	12–12	-0.03	14%	9 Aug →
mirage	6–13	-0.09	10%	9 Aug →
office	12–12	-0.01	25%	9 Aug →
vertigo	13–7	-0.02	13%	8 Aug →
inferno	9–4	0.18	21%	31 Jul →
vertigo	9–7	-0.01	23%	31 Jul →
anubis	13–7	-0.02	12%	29 Jul →
nuke	13–9	0.03	20%	29 Jul →
nuke	8–13	0.01	24%	29 Jul →
ancient	13–9	0.04	16%	27 Jul →
cache	13–10	-0.01	19%	27 Jul →
ancient	13–9	0.06	21%	26 Jul →
anubis	13–9	-0.01	13%	26 Jul →
dust2	2–13	-0.07	5%	26 Jul →
inferno	13–10	-0.01	13%	26 Jul →
cache	5–13	-0.02	26%	26 Jul →
cache	13–5	-0.03	32%	26 Jul →
cache	13–5	-0.04	16%	26 Jul →
office	3–9	0.05	17%	25 Jul →
ancient	11–13	-0.01	30%	25 Jul →
anubis	13–5	0.01	13%	25 Jul →
office	13–4	-0.05	33%	19 Jul →
boulder	13–6	0.05	11%	19 Jul →
boulder	13–8	0.01	27%	19 Jul →
fachwerk	13–9	0.10	16%	19 Jul →
boulder	12–12	0.05	21%	19 Jul →
fachwerk	13–10	-0.03	12%	19 Jul →
nuke	8–13	-0.10	4%	19 Jul →
mirage	13–1	-0.02	9%	18 Jul →
shelter	13–3	-0.09	15%	18 Jul →
inferno	1–13	-0.07	0%	18 Jul →
italy	13–4	0.01	3%	18 Jul →
italy	7–13	-0.06	9%	15 Jul →
train	13–9	0.02	11%	15 Jul →
inferno	4–13	-0.03	18%	15 Jul →
train	9–13	-0.08	12%	15 Jul →
mirage	1–13	-0.01	9%	13 Jul →
overpass	6–13	-0.03	29%	12 Jul →