® 𝕫0𝕟𝕋 𝕩 — CS2 Stats

UZ76561199882378961[U:1:1922113233]Steam profile ↗✓ No bans

266Tracked matches57%Win rate2025Tracked since

1,768Hours in CS56Hrs last 2 wks

CSDB Rating5.4 DevelopingPositional Player

Premier CS Rating15,643Purple band · top ~25.8% of ranked players (population est.)

CSDB Leaderboard#122822 of 225842 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 16 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,643 +2,074 16 Jul – 16 Sept · 46 days played

19,622Peak Premier in tracked matches

45Days played since 2026-07-16

Premier CS Rating

3,979 below peak (19,622)
+1,085 over 30 days · improving
Next: Pink band at 20,000 — 4,357 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-01
Light Blue band first seen 2026-09-01

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 Purple band among CSDB-tracked players (n=35,214), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	44.7%	44.3%	47.0%	2.2% short
Shot accuracy	0.0%	11.8%	13.0%	12.9% short
Kill/death ratio	1.21	1.03	1.08	above
Match win rate	50.8%	45.2%	46.7%	above

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

Widest gap: Shot accuracy. That is the metric furthest from the Pink 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

Aim75

Positioning51

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLWLLWLLWL

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +0.2pp headshot accuracy · −21ms reaction

Win rate down 40pp 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 591ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 578ms

Last 20

12–8 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 589ms

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 (+1.4 against its own average).

Aim7.5

Utility3.9

Positioning5.1

Opening Duels2.0

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 sh1ro 90% 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

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

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.5

Positioning5.1

Utility3.9

Mechanics3.9

Opening Duels2.0

Win Impact7.2

Composite 5.4/10 (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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time581ms−22ms

first ⅓ avg 603ms → last ⅓ avg 581ms

Headshot accuracy22.3%−1.3%

first ⅓ avg 23.6% → last ⅓ avg 22.3%

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

0.22Best match rating · 13–6 · ancient, 16 Jul →

77%Best headshot accuracy · 13–6 · ancient, 16 Jul →

391msFastest reaction time · 13–4 · inferno, 20 Aug →

13–1Biggest win · anubis, 6 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

3–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 70% over 10anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	12–12	50%	0.02
dust2	C	23	10–13	43%	0.04
ancient	B	16	8–8	50%	0.02
nuke	C	14	6–8	43%	0.02
inferno	S	10	7–3	70%	0.02
cache	S	6	4–2	67%	0.04
anubis	D	6	2–4	33%	0.03
train	—	1	1–0	100%	0.12

Across the last 100 tracked matches.

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

Lifetime stats

28,459Lifetime kills

1.21K/D · Top 25% of Purple band

1,340Matches

50.8%Match win rate · Top 25% of Purple band

44.7%Headshot % · Top 50% of Purple band

0.0%Shot accuracy

4,359MVPs

539Hours (in match)

1,520Bombs planted

420Bombs defused

Most-used weapons

AK-478,041

AWP6,560

M4A4 / M4A1-S4,011

Desert Eagle2,284

P2000 / USP-S1,414

Glock-181,100

Galil AR863

SSG 08546

MAC-10509

FAMAS451

Lifetime map wins

3,503dust2

1,249inferno

901nuke

93vertigo

63train

30office

6ar_shoots

1ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.1%Headshot accuracy

35.9%Accuracy (enemy spotted)

38.2%Spray accuracy

67.4%Counter-strafing

8.0°Preaim

570msReaction time

33.2%T opening success

43.0%CT opening success

0.47Enemies flashed / flash

4.5%Flash assists

5.64HE damage / grenade

3.66Flashes / 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 0.4714 — 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 33.1671% — 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.

33% win rate across 6 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
ancient	13–6	-0.01	30%	16 Sept →
mirage	1–13	-0.08	16%	16 Sept →
mirage	13–10	0.00	16%	14 Sept →
dust2	14–16	0.03	25%	14 Sept →
nuke	6–13	-0.06	19%	13 Sept →
dust2	13–8	0.12	20%	10 Sept →
dust2	7–13	-0.03	30%	9 Sept →
dust2	6–13	-0.06	19%	9 Sept →
cache	13–7	0.03	22%	9 Sept →
anubis	7–13	-0.03	22%	8 Sept →
dust2	13–3	0.02	13%	8 Sept →
cache	11–13	0.05	33%	7 Sept →
inferno	13–5	0.02	23%	7 Sept →
anubis	13–1	0.07	23%	6 Sept →
dust2	13–7	-0.03	27%	6 Sept →
inferno	13–9	0.03	18%	5 Sept →
ancient	13–11	0.08	8%	2 Sept →
mirage	13–9	-0.04	25%	2 Sept →
mirage	3–13	-0.02	31%	28 Aug →
dust2	13–3	0.01	17%	28 Aug →
cache	16–14	-0.03	23%	28 Aug →
dust2	7–13	0.08	28%	26 Aug →
inferno	16–13	0.04	25%	26 Aug →
nuke	6–13	0.03	18%	25 Aug →
nuke	13–5	0.00	16%	22 Aug →
anubis	11–13	0.01	18%	21 Aug →
mirage	13–1	0.12	35%	21 Aug →
inferno	11–13	0.01	29%	20 Aug →
inferno	13–4	0.14	23%	20 Aug →
mirage	11–13	0.14	13%	19 Aug →
mirage	13–8	0.10	24%	17 Aug →
nuke	11–13	0.03	20%	16 Aug →
nuke	13–4	0.04	26%	16 Aug →
ancient	9–13	0.00	19%	15 Aug →
ancient	7–13	0.01	24%	14 Aug →
inferno	11–13	-0.02	21%	13 Aug →
dust2	13–4	0.07	23%	13 Aug →
inferno	13–7	-0.05	21%	13 Aug →
dust2	13–16	0.06	21%	13 Aug →
nuke	9–13	0.02	13%	12 Aug →
ancient	5–13	-0.05	14%	12 Aug →
train	13–2	0.12	24%	12 Aug →
mirage	2–13	-0.04	36%	12 Aug →
ancient	10–13	-0.04	19%	11 Aug →
ancient	13–7	0.07	26%	11 Aug →
nuke	13–5	0.11	19%	10 Aug →
nuke	13–9	0.11	18%	10 Aug →
dust2	13–9	0.10	34%	10 Aug →
mirage	13–4	0.06	28%	10 Aug →
mirage	13–16	0.02	19%	10 Aug →
cache	13–8	0.08	23%	8 Aug →
mirage	16–14	-0.00	19%	6 Aug →
anubis	15–15	-0.04	13%	6 Aug →
dust2	15–15	0.05	24%	6 Aug →
ancient	3–13	-0.05	36%	5 Aug →
inferno	13–9	0.03	38%	5 Aug →
ancient	13–6	0.10	36%	5 Aug →
nuke	13–10	-0.03	33%	4 Aug →
anubis	13–5	0.12	19%	4 Aug →
ancient	13–16	-0.06	23%	4 Aug →
ancient	16–13	0.04	22%	3 Aug →
dust2	7–13	0.01	28%	3 Aug →
inferno	4–13	-0.01	23%	3 Aug →
mirage	13–1	0.16	35%	3 Aug →
nuke	10–13	0.06	9%	2 Aug →
mirage	16–12	0.07	26%	2 Aug →
dust2	13–3	0.08	33%	2 Aug →
cache	4–13	0.06	29%	2 Aug →
mirage	9–13	-0.06	18%	1 Aug →
mirage	8–13	0.06	32%	31 Jul →
nuke	10–13	-0.02	30%	31 Jul →
dust2	8–13	-0.00	18%	31 Jul →
ancient	5–13	-0.02	19%	31 Jul →
dust2	7–13	-0.00	18%	31 Jul →
mirage	10–13	-0.01	20%	30 Jul →
mirage	6–13	-0.03	26%	29 Jul →
mirage	13–8	-0.04	17%	28 Jul →
dust2	10–13	0.11	19%	28 Jul →
mirage	16–12	0.04	23%	28 Jul →
mirage	4–13	-0.03	14%	28 Jul →
dust2	5–13	0.02	11%	28 Jul →
anubis	10–13	0.07	18%	25 Jul →
mirage	9–13	-0.00	31%	24 Jul →
nuke	4–13	0.00	27%	24 Jul →
mirage	13–6	0.05	19%	23 Jul →
nuke	13–3	-0.02	21%	21 Jul →
mirage	13–3	0.02	17%	21 Jul →
inferno	13–6	0.02	32%	20 Jul →
nuke	11–13	-0.05	21%	20 Jul →
ancient	11–13	0.01	17%	19 Jul →
dust2	13–2	0.11	42%	19 Jul →
dust2	13–10	0.05	13%	18 Jul →
dust2	7–13	-0.07	21%	18 Jul →
dust2	13–8	0.11	23%	18 Jul →
dust2	14–16	-0.02	18%	18 Jul →
ancient	13–4	0.03	29%	18 Jul →
mirage	7–13	0.05	29%	17 Jul →
ancient	13–6	0.22	77%	16 Jul →
cache	13–10	0.07	14%	16 Jul →
ancient	13–4	-0.01	14%	16 Jul →