𓂀𝕂𝔸ℝ𝕌𝕊𝟚𝟛 — CS2 Stats

PR76561199502145164[U:1:1541879436]Steam profile ↗✓ No bans

2,247Tracked matches45%Win rate2023Tracked since

2,088Hours in CS41Hrs last 2 wks

CSDB Rating3.6 LearningSupport

Premier CS Rating12,624Blue band · top ~41% of ranked players (population est.)

CSDB Leaderboard#171596 of 261675 tracked

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−648Premier CS Rating · 13,272 → 12,624

Rating over time

Premier CS Rating: 12,624 +5,473 13 Aug – 15 Nov · 36 days played

13,272Peak Premier in tracked matches

35Days played since 2026-08-13

Premier CS Rating

648 below peak (13,272)
+3,308 over 30 days · improving
+5,617 over 90 days
Next: Purple band at 15,000 — 2,376 to go
Reached: Blue band · Light Blue band
Light Blue band first seen 2026-09-22

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 Blue band among CSDB-tracked players (n=23,968), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	40.3%	42.0%	44.4%	4.1% short
Shot accuracy	2.7%	9.7%	11.8%	9.1% short
Kill/death ratio	0.65	0.98	1.03	0.38 short
Match win rate	44.7%	43.8%	45.3%	meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Aim38

Positioning35

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLLWWLWLWLL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.3pp headshot accuracy · −12ms 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

2–3 · 40% win rate
Avg rating -0.07
Avg headshot accuracy 12%
Avg reaction 642ms

Last 10

4–6 · 40% win rate
Avg rating -0.07
Avg headshot accuracy 10%
Avg reaction 612ms

Last 20

10–9–1 · 50% win rate
Avg rating -0.05
Avg headshot accuracy 11%
Avg reaction 618ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim3.8

Utility4.2

Positioning3.5

Opening Duels0.2

Clutch3.4

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 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 625ms 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

Aim3.8

Positioning3.5

Utility4.2

Mechanics6.1

Opening Duels0.8

Win Impact3.3

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05+0.01

first ⅓ avg -0.06 → last ⅓ avg -0.05

Reaction time626ms−7ms

first ⅓ avg 633ms → last ⅓ avg 626ms

Headshot accuracy12.3%−4.2%

first ⅓ avg 16.5% → last ⅓ avg 12.3%

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

0.07Best match rating · 13–8 · ancient, 5 Nov →

56%Best headshot accuracy · 13–3 · inferno, 29 Aug →

391msFastest reaction time · 1–13 · anubis, 21 Aug →

13–2Biggest win · cache, 10 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L2Current streak

5–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 60% over 20dust2Weakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	22	10–12	45%	-0.05
inferno	A	20	12–8	60%	-0.05
dust2	D	17	5–12	29%	-0.05
mirage	B	15	8–7	53%	-0.04
anubis	C	12	5–7	42%	-0.04
nuke	C	7	3–4	43%	-0.05
ancient	A	7	4–3	57%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,481Lifetime kills

0.65K/D

2,694Matches

44.7%Match win rate · Top 50% of Blue band

40.3%Headshot %

2.7%Shot accuracy

3,645MVPs

985Hours (in match)

2,009Bombs planted

342Bombs defused

Most-used weapons

AK-479,086

M4A4 / M4A1-S7,869

AWP2,809

P2000 / USP-S2,015

Glock-181,820

MP91,194

MAC-101,166

MP7976

Desert Eagle806

Galil AR732

Lifetime map wins

9,107inferno

1,945dust2

1,795vertigo

1,205nuke

225train

20lake

14cbble

7office

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

Faceit stats

Combat

358Matches

48%Win rate

0.75Avg K/D

65.1ADR

39%Headshot %

Clutches & streaks

37%1v1 clutch win

15%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	97	57%	0.80	12.6
Anubis	96	51%	0.74	12.0
Ancient	49	45%	0.77	13.1
Mirage	44	36%	0.69	11.3
Vertigo	30	60%	0.79	11.4
Nuke	16	38%	0.74	12.4
Dust2	13	8%	0.64	14.1
Cache	9	33%	0.67	11.1

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.

11.1%Headshot accuracy

30.0%Accuracy (enemy spotted)

33.3%Spray accuracy

77.6%Counter-strafing

12.0°Preaim

625msReaction time

32.5%T opening success

33.6%CT opening success

0.41Enemies flashed / flash

2.3%Flash assists

8.80HE damage / grenade

7.00Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.1146% — below the 15% mark we flag
Aim Training →
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 0.4104 — 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 32.5243% — below the 40% mark we flag

Spend your practice time on Dust 2

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	-0.07	10%	15 Nov →
anubis	7–13	-0.11	6%	15 Nov →
dust2	13–4	-0.06	3%	14 Nov →
cache	13–3	-0.04	21%	14 Nov →
inferno	11–13	-0.10	20%	14 Nov →
inferno	13–5	-0.05	14%	14 Nov →
nuke	9–13	-0.04	5%	14 Nov →
ancient	13–10	-0.04	13%	14 Nov →
mirage	4–13	-0.08	8%	14 Nov →
dust2	4–13	-0.09	5%	14 Nov →
inferno	13–10	-0.10	5%	14 Nov →
mirage	13–4	0.03	8%	14 Nov →
anubis	8–13	-0.07	8%	14 Nov →
inferno	15–15	-0.05	11%	13 Nov →
dust2	13–16	-0.09	5%	12 Nov →
inferno	13–5	-0.04	8%	12 Nov →
cache	4–13	-0.08	15%	12 Nov →
anubis	13–10	-0.04	7%	12 Nov →
dust2	13–6	0.05	18%	12 Nov →
anubis	13–6	0.04	23%	12 Nov →
mirage	5–13	-0.09	19%	12 Nov →
dust2	9–13	-0.04	6%	11 Nov →
mirage	13–10	-0.07	12%	11 Nov →
anubis	11–13	-0.04	15%	11 Nov →
nuke	13–9	-0.01	9%	11 Nov →
anubis	9–13	-0.02	17%	11 Nov →
mirage	4–13	-0.09	7%	11 Nov →
inferno	6–13	-0.05	22%	11 Nov →
cache	11–13	-0.03	10%	11 Nov →
inferno	13–4	-0.01	8%	10 Nov →
cache	13–2	-0.04	20%	10 Nov →
anubis	13–5	-0.02	30%	9 Nov →
cache	13–11	-0.06	18%	9 Nov →
cache	13–11	-0.03	18%	9 Nov →
nuke	13–8	-0.01	20%	9 Nov →
ancient	13–9	-0.03	11%	9 Nov →
inferno	13–9	-0.02	16%	8 Nov →
ancient	4–13	-0.09	7%	8 Nov →
inferno	8–13	-0.08	16%	6 Nov →
mirage	6–13	-0.09	13%	6 Nov →
inferno	13–6	-0.01	23%	6 Nov →
dust2	13–9	-0.06	20%	6 Nov →
mirage	13–2	0.03	11%	6 Nov →
dust2	8–13	-0.05	8%	5 Nov →
inferno	10–13	-0.07	9%	5 Nov →
dust2	11–13	-0.02	15%	5 Nov →
cache	13–10	-0.08	12%	5 Nov →
dust2	13–9	0.02	9%	5 Nov →
ancient	13–8	0.07	3%	5 Nov →
cache	5–13	-0.10	13%	5 Nov →
dust2	15–15	-0.06	23%	3 Nov →
anubis	13–16	-0.00	16%	3 Nov →
mirage	9–13	-0.06	13%	30 Oct →
cache	5–13	-0.08	13%	30 Oct →
inferno	13–7	-0.12	12%	30 Oct →
cache	13–11	-0.00	9%	30 Oct →
anubis	9–13	-0.01	7%	28 Oct →
anubis	13–2	0.02	7%	28 Oct →
ancient	11–13	-0.03	11%	28 Oct →
cache	11–13	-0.06	15%	27 Oct →
cache	11–13	-0.05	10%	26 Oct →
cache	13–9	-0.01	18%	26 Oct →
inferno	13–3	0.01	17%	26 Oct →
cache	13–16	-0.03	19%	25 Oct →
nuke	13–8	-0.05	18%	25 Oct →
cache	13–9	-0.01	22%	25 Oct →
mirage	16–12	-0.02	20%	24 Oct →
cache	16–13	-0.05	12%	16 Oct →
ancient	9–13	-0.06	32%	9 Oct →
mirage	13–10	-0.02	12%	9 Oct →
nuke	10–13	-0.09	23%	8 Oct →
mirage	15–15	-0.04	23%	8 Oct →
dust2	4–13	-0.14	22%	8 Oct →
mirage	13–10	0.01	22%	6 Oct →
dust2	5–13	-0.10	4%	6 Oct →
dust2	13–4	0.04	23%	6 Oct →
inferno	2–13	-0.08	12%	1 Oct →
inferno	15–15	-0.05	22%	1 Oct →
dust2	4–13	-0.09	11%	30 Sept →
inferno	13–10	-0.07	17%	26 Sept →
inferno	16–12	-0.08	9%	24 Sept →
cache	13–9	-0.03	17%	24 Sept →
cache	13–16	-0.11	3%	24 Sept →
cache	6–13	-0.09	18%	23 Sept →
dust2	7–13	-0.04	25%	3 Sept →
mirage	9–13	-0.01	23%	2 Sept →
nuke	5–13	-0.07	5%	29 Aug →
anubis	13–6	-0.09	24%	29 Aug →
inferno	13–3	0.03	56%	29 Aug →
mirage	16–14	-0.07	15%	27 Aug →
ancient	13–5	-0.04	5%	27 Aug →
inferno	13–8	-0.04	14%	26 Aug →
dust2	8–13	-0.04	18%	26 Aug →
anubis	1–13	-0.10	21%	21 Aug →
nuke	5–13	-0.05	18%	18 Aug →
mirage	13–11	-0.10	8%	15 Aug →
inferno	1–13	-0.11	7%	15 Aug →
dust2	10–13	-0.02	8%	15 Aug →
cache	9–13	-0.03	12%	13 Aug →
cache	9–13	-0.04	6%	13 Aug →