𝕮𝖍𝖊𝖋𝖋𝖔 ㋛ — CS2 Stats

76561198007004096[U:1:46738368]Steam profile ↗✓ No bans

998Tracked matches50%Win rate2020Tracked since

CSDB Rating6.7 SolidClutch Specialist

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#139969 of 247858 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Aug 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,000 -809 31 Jul – 22 Aug · 18 days played

17,110Peak Premier in tracked matches

27Days played since 2026-07-31

Premier CS Rating

1,782 below peak (16,782)
Next: Pink band at 20,000 — 5,000 to go
Reached: Purple band · Blue band · Light Blue band

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

Aim93

Positioning56

Utility33

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLWLLWLWWWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +1.6pp headshot accuracy · +80ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 26%
Avg reaction 586ms

Last 10

5–5 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 23%
Avg reaction 589ms

Last 20

10–10 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 549ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+0.9 against its own average).

Aim9.3

Utility3.3

Positioning5.6

Opening Duels5.4

Clutch6.0

Sharp aimerLimited 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 87% playstyle similarity

Most alike: opening-duel success, aim profile.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 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 59% on CT to 43% 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

Aim9.3

Positioning5.6

Utility3.3

Mechanics8.4

Opening Duels5.2

Win Impact5.0

Composite 6.7/10 (Solid), 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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time552ms−25ms

first ⅓ avg 577ms → last ⅓ avg 552ms

Headshot accuracy21.0%+4.9%

first ⅓ avg 16.1% → last ⅓ avg 21.0%

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.

Personal bests

0.09Best match rating · 13–6 · inferno, 7 Aug →

43%Best headshot accuracy · 13–4 · cache, 24 Aug →

391msFastest reaction time · 11–13 · inferno, 24 Aug →

13–1Biggest win · cache, 9 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak

8–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 60% over 20nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	15–12	56%	-0.01
mirage	C	20	7–13	35%	-0.01
cache	A	20	12–8	60%	-0.01
ancient	D	14	4–10	29%	-0.02
anubis	B	12	6–6	50%	-0.02
nuke	D	5	1–4	20%	-0.03
vertigo	—	1	0–1	0%	-0.06
dust2	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

570Matches

50%Win rate

1.06Avg K/D

73.3ADR

34%Headshot %

Clutches & streaks

50%1v1 clutch win

9%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	20	65%	0.98	17.4
Mirage	13	46%	0.84	14.6
Cache	6	67%	1.27	16.8
Ancient	4	50%	0.87	11.8
Anubis	3	33%	0.57	11.0
Nuke	1	0%	0.61	11.0
Overpass	1	0%	0.88	15.0

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.

20.9%Headshot accuracy

41.4%Accuracy (enemy spotted)

45.9%Spray accuracy

87.8%Counter-strafing

7.9°Preaim

542msReaction time

43.0%T opening success

58.9%CT opening success

0.58Enemies flashed / flash

2.7%Flash assists

10.82HE damage / grenade

2.02Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.0226 — below the 4 mark we flag
Grenade Lineups →

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.

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