🗿⃤⃢🍷🗿⃤⃢🍷🗿 — CS2 Stats

76561198074265978[U:1:114000250]Steam profile ↗✓ No bans

355Tracked matches43%Win rate2020Tracked since

2,056Hours in CS

CSDB Rating5.2 DevelopingAll-Rounder

Premier CS Rating21,698Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#60328 of 259880 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 May 2026 (161 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: 21,698 +7,728 25 Apr – 27 May · 27 days played

23,172Peak Premier in tracked matches

28Days played since 2026-04-25

Premier CS Rating

1,336 below peak (23,034)
+7,982 over 30 days · improving
Next: Red band at 25,000 — 3,302 to go
Reached: Pink band · 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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	Pink band median	Red band median	vs Red band
Headshot rate	48.0%	46.9%	49.3%	1.3% short
Shot accuracy	17.8%	13.0%	13.4%	above
Kill/death ratio	1.25	1.08	1.12	above
Match win rate	37.6%	46.7%	48.5%	10.9% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim67

Positioning44

Utility43

0–100 skill scores via Leetify.

Recent form

COLD58–39–3Last 10058%Win rateLWLLLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +4.3pp headshot accuracy · +21ms 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

1–4 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 23%
Avg reaction 658ms

Last 10

3–7 · 30% win rate
Avg rating -0.03
Avg headshot accuracy 21%
Avg reaction 650ms

Last 20

8–12 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 19%
Avg reaction 639ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.7

Utility4.3

Positioning4.4

Opening Duels2.3

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 Twistzz 97% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 614ms 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

Aim6.7

Positioning4.4

Utility4.3

Mechanics7.8

Opening Duels1.4

Win Impact2.8

Composite 5.2/10 (Developing), 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 rating-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time622ms−12ms

first ⅓ avg 635ms → last ⅓ avg 622ms

Headshot accuracy19.9%+0.6%

first ⅓ avg 19.3% → last ⅓ avg 19.9%

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.

Personal bests

0.17Best match rating · 13–2 · inferno, 2 May →

50%Best headshot accuracy · 2–0 · inferno, 7 May →

461msFastest reaction time · 7–13 · inferno, 11 May →

13–2Biggest win · mirage, 7 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak

15–4In matches decided by ≤2 rounds

14Overtime games

Map breakdown

dust2Best map · 73% over 11anubisWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	15–10	60%	-0.01
mirage	B	16	8–8	50%	-0.00
nuke	B	13	7–6	54%	-0.01
overpass	S	12	8–4	67%	-0.01
dust2	S	11	8–3	73%	-0.00
ancient	A	10	6–4	60%	-0.03
anubis	C	9	4–5	44%	-0.02
cache	—	3	2–1	67%	-0.01
office	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

118,126Lifetime kills

1.25K/D · Top 25% of Pink band

5,055Matches

37.6%Match win rate

48.0%Headshot % · Top 50% of Pink band

17.8%Shot accuracy · Top 25% of Pink band

11,802MVPs

2,056Hours (in match)

2,772Bombs planted

863Bombs defused

Most-used weapons

AK-4740,563

M4A4 / M4A1-S17,821

AWP17,451

P2000 / USP-S6,933

Desert Eagle4,079

P2503,374

Glock-183,126

Five-SeveN2,621

Tec-92,612

SCAR-201,686

Lifetime map wins

7,650inferno

6,610dust2

1,396nuke

1,241office

1,064train

285assault

265vertigo

253cbble

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

Faceit stats

Combat

88Matches

53%Win rate

1.31Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

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.

19.6%Headshot accuracy

31.8%Accuracy (enemy spotted)

34.5%Spray accuracy

85.1%Counter-strafing

9.8°Preaim

614msReaction time

31.1%T opening success

40.1%CT opening success

0.61Enemies flashed / flash

3.6%Flash assists

7.90HE damage / grenade

2.92Flashes / 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 2.9208 — below the 4 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 31.1295% — below the 40% mark we flag

Spend your practice time on Anubis

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–9	-0.11	24%	28 May →
inferno	13–3	0.06	26%	27 May →
nuke	8–13	-0.05	18%	27 May →
anubis	7–13	-0.04	32%	27 May →
ancient	11–13	-0.01	16%	24 May →
mirage	6–13	-0.02	11%	24 May →
nuke	8–13	-0.09	12%	23 May →
ancient	13–9	-0.05	32%	23 May →
mirage	13–5	0.02	17%	23 May →
inferno	13–16	-0.03	25%	21 May →
anubis	13–9	0.02	15%	19 May →
nuke	6–13	-0.05	20%	17 May →
inferno	6–13	-0.05	13%	17 May →
nuke	13–5	0.03	20%	17 May →
mirage	13–16	-0.08	22%	16 May →
nuke	16–14	0.04	23%	16 May →
overpass	6–13	-0.02	24%	16 May →
ancient	13–4	0.00	12%	16 May →
mirage	9–13	-0.02	11%	16 May →
inferno	13–7	-0.07	11%	16 May →
mirage	13–9	0.05	11%	16 May →
mirage	13–5	-0.03	22%	16 May →
mirage	8–13	-0.05	15%	15 May →
inferno	13–3	-0.00	17%	14 May →
office	9–13	-0.07	21%	13 May →
anubis	11–13	-0.03	19%	13 May →
dust2	6–13	-0.07	33%	13 May →
ancient	13–9	-0.01	17%	12 May →
dust2	5–13	0.01	40%	12 May →
inferno	7–13	-0.07	17%	11 May →
nuke	13–11	-0.03	16%	10 May →
anubis	16–14	0.01	18%	10 May →
inferno	9–6	0.02	25%	10 May →
dust2	13–4	0.01	19%	10 May →
nuke	13–11	-0.01	13%	10 May →
overpass	9–13	-0.06	4%	10 May →
dust2	13–11	-0.01	27%	8 May →
mirage	13–5	-0.02	9%	8 May →
inferno	13–8	0.01	11%	8 May →
ancient	16–14	-0.02	11%	8 May →
overpass	12–4	0.05	24%	8 May →
overpass	13–11	-0.01	19%	7 May →
overpass	13–6	0.02	21%	7 May →
nuke	6–13	-0.07	19%	7 May →
mirage	13–2	0.06	21%	7 May →
inferno	2–0	0.00	50%	7 May →
inferno	2–13	-0.07	7%	7 May →
inferno	13–5	0.04	16%	7 May →
nuke	16–14	0.01	15%	7 May →
ancient	7–13	0.02	35%	7 May →
overpass	10–13	-0.03	9%	7 May →
anubis	16–14	-0.02	8%	6 May →
nuke	13–9	0.04	21%	6 May →
anubis	13–5	0.01	13%	6 May →
ancient	13–11	0.01	24%	5 May →
inferno	13–8	-0.01	17%	5 May →
inferno	13–10	0.02	21%	5 May →
mirage	12–16	-0.07	20%	5 May →
overpass	13–9	0.02	25%	5 May →
mirage	7–13	-0.02	20%	5 May →
anubis	9–13	-0.08	9%	5 May →
overpass	13–4	-0.05	10%	5 May →
dust2	13–10	-0.01	22%	4 May →
mirage	11–13	0.00	12%	3 May →
overpass	16–12	0.01	18%	2 May →
inferno	13–9	-0.03	25%	2 May →
inferno	13–2	0.17	26%	2 May →
dust2	13–9	-0.02	13%	2 May →
ancient	6–13	-0.09	27%	2 May →
nuke	11–13	-0.05	22%	1 May →
mirage	13–3	0.01	7%	1 May →
inferno	4–13	-0.03	20%	1 May →
overpass	13–9	0.03	20%	30 Apr →
dust2	13–8	-0.06	8%	30 Apr →
inferno	13–11	0.05	14%	30 Apr →
anubis	3–10	-0.00	15%	30 Apr →
cache	13–11	-0.03	16%	30 Apr →
cache	12–12	0.05	27%	30 Apr →
mirage	13–5	0.07	24%	29 Apr →
cache	13–4	-0.05	14%	29 Apr →
overpass	13–5	0.05	22%	28 Apr →
anubis	4–13	-0.08	12%	28 Apr →
inferno	16–14	0.05	23%	28 Apr →
ancient	15–15	-0.05	22%	28 Apr →
dust2	13–9	0.04	40%	28 Apr →
mirage	8–13	-0.00	9%	28 Apr →
dust2	13–10	0.03	19%	28 Apr →
nuke	13–4	0.06	19%	28 Apr →
overpass	7–13	-0.08	19%	27 Apr →
inferno	13–9	-0.02	25%	27 Apr →
inferno	13–8	0.03	19%	27 Apr →
inferno	4–13	0.01	26%	27 Apr →
mirage	16–13	0.05	21%	27 Apr →
inferno	2–13	-0.04	22%	26 Apr →
inferno	3–13	-0.08	7%	26 Apr →
inferno	8–13	-0.08	27%	26 Apr →
dust2	13–9	0.06	29%	26 Apr →
nuke	15–15	0.08	23%	26 Apr →
ancient	16–14	-0.08	18%	25 Apr →
dust2	5–13	-0.02	11%	25 Apr →