🆂🅸🅽🅃🅁🄰 𝕔𝕒𝕣𝕣𝕪𝕞𝕖 — CS2 Stats

76561199021783681[U:1:1061517953]Steam profile ↗✓ No bans

544Tracked matches52%Win rate2022Tracked since

687Hours in CS30Hrs last 2 wks

CSDB Rating7.2 StrongPositional Player

Premier CS Rating16,523Purple band · top ~22.3% of ranked players (population est.)

CSDB Leaderboard#126043 of 251170 tracked

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (yesterday). 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: 16,523 +961 27 Aug – 9 Oct · 36 days played

17,444Peak Premier in tracked matches

35Days played since 2026-08-27

Premier CS Rating

571 below peak (17,094)
+1,523 over 30 days · improving
Next: Pink band at 20,000 — 3,477 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-01
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.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	76	—	—
Win rate	55%	—	—
K/D	1.00	—	—
Headshot %	49%	—	—

Measured 15 Sep 2026 → 10 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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	49.6%	44.3%	46.9%	above
Shot accuracy	2.2%	11.9%	13.0%	10.8% short
Kill/death ratio	1.09	1.03	1.08	meets
Match win rate	47.2%	45.2%	46.7%	meets

This profile matches the typical Pink band player on 3 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

Aim81

Positioning68

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLWWLWLTWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −5.9pp headshot accuracy · −69ms 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

3–2 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 506ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 13%
Avg reaction 552ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 587ms

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 against its own average).

Aim8.1

Utility6.3

Positioning6.8

Opening Duels4.2

Clutch6.0

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 NiKo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.0° off target when enemies appear — placement, not flicking, is the bigger win available.

CT openings. Opening success drops from 66% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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

Aim8.1

Positioning6.8

Utility6.3

Mechanics8.2

Opening Duels7.0

Win Impact5.6

Composite 7.2/10 (Strong), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time596ms+18ms

first ⅓ avg 578ms → last ⅓ avg 596ms

Headshot accuracy15.8%−4.5%

first ⅓ avg 20.3% → last ⅓ avg 15.8%

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

0.27Best match rating · 9–3 · inferno, 7 Oct →

33%Best headshot accuracy · 7–13 · nuke, 9 Sept →

367msFastest reaction time · 9–13 · dust2, 30 Aug →

13–2Biggest win · inferno, 24 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

mirageBest map · 67% over 9nukeWeakest map · 40% over 25

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	10–15	40%	0.02
dust2	C	23	10–13	43%	-0.00
inferno	A	16	10–6	63%	0.04
cache	B	10	5–5	50%	0.00
mirage	S	9	6–3	67%	-0.01
ancient	A	9	5–4	56%	-0.01
anubis	A	8	5–3	63%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,073Lifetime kills

1.09K/D · Top 50% of Purple band

820Matches

47.2%Match win rate · Top 50% of Purple band

49.6%Headshot % · Top 50% of Purple band

2.2%Shot accuracy

1,947MVPs

314Hours (in match)

943Bombs planted

185Bombs defused

Most-used weapons

SG 5533,927

AUG3,352

Glock-18949

P2000 / USP-S936

AK-47823

M4A4 / M4A1-S584

Tec-9516

MAC-10484

MP9396

Five-SeveN388

Lifetime map wins

1,715dust2

1,623inferno

1,542nuke

91train

84vertigo

47office

7aztec

1ar_monastery

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

Faceit stats

Combat

7Matches

43%Win rate

1.35Avg K/D

100.2ADR

52%Headshot %

Clutches & streaks

50%1v1 clutch win

40%1v2 clutch win

1Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	33%	1.17	18.7
Nuke	2	100%	1.94	24.0
Anubis	1	0%	0.71	10.0
Dust2	1	0%	1.33	24.0

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.

16.3%Headshot accuracy

40.7%Accuracy (enemy spotted)

45.4%Spray accuracy

86.7%Counter-strafing

11.0°Preaim

609msReaction time

66.2%T opening success

49.7%CT opening success

0.57Enemies flashed / flash

7.1%Flash assists

13.16HE damage / grenade

11.51Flashes / match

Recommended for you

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.

40% win rate across 25 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	13–11	-0.00	15%	9 Oct →
cache	10–13	0.00	17%	9 Oct →
inferno	13–10	-0.07	15%	9 Oct →
mirage	13–8	-0.01	5%	9 Oct →
inferno	4–13	-0.08	9%	8 Oct →
nuke	13–11	0.07	23%	8 Oct →
nuke	11–13	-0.03	10%	7 Oct →
nuke	15–15	-0.01	11%	7 Oct →
inferno	9–3	0.27	14%	7 Oct →
cache	6–13	-0.08	7%	6 Oct →
nuke	7–13	0.01	23%	6 Oct →
anubis	5–13	-0.07	18%	6 Oct →
ancient	5–13	-0.06	24%	5 Oct →
nuke	6–13	0.00	21%	5 Oct →
inferno	13–9	0.07	23%	5 Oct →
dust2	13–6	-0.03	22%	4 Oct →
anubis	13–10	0.05	17%	4 Oct →
dust2	13–11	-0.02	17%	4 Oct →
mirage	7–13	0.03	9%	3 Oct →
ancient	13–6	-0.01	11%	3 Oct →
cache	13–9	0.03	18%	3 Oct →
nuke	9–13	0.03	15%	2 Oct →
nuke	8–13	-0.00	18%	2 Oct →
dust2	12–16	0.09	20%	2 Oct →
ancient	13–10	0.02	16%	1 Oct →
dust2	7–13	0.03	11%	1 Oct →
nuke	16–13	0.04	19%	26 Sept →
anubis	13–5	0.02	16%	26 Sept →
nuke	13–7	0.01	15%	26 Sept →
nuke	14–16	-0.03	20%	24 Sept →
inferno	13–2	0.14	22%	24 Sept →
inferno	13–9	0.01	11%	24 Sept →
inferno	13–8	0.06	10%	24 Sept →
nuke	15–15	-0.01	27%	23 Sept →
dust2	13–4	0.03	28%	23 Sept →
anubis	5–13	-0.07	14%	22 Sept →
dust2	13–9	-0.02	12%	22 Sept →
cache	16–13	0.01	21%	22 Sept →
dust2	10–13	-0.02	29%	21 Sept →
nuke	10–13	0.01	25%	21 Sept →
mirage	13–7	0.01	15%	21 Sept →
dust2	13–9	-0.02	17%	20 Sept →
ancient	13–8	0.00	18%	20 Sept →
dust2	10–13	-0.07	16%	20 Sept →
nuke	13–5	-0.02	18%	20 Sept →
dust2	16–13	-0.02	8%	19 Sept →
cache	13–10	0.03	19%	19 Sept →
dust2	13–8	0.03	19%	19 Sept →
mirage	13–6	0.03	15%	17 Sept →
mirage	15–15	0.00	14%	17 Sept →
anubis	13–3	0.01	19%	16 Sept →
cache	13–11	0.03	17%	15 Sept →
dust2	9–13	-0.05	21%	15 Sept →
mirage	9–13	-0.05	17%	15 Sept →
dust2	13–5	0.05	23%	14 Sept →
nuke	13–8	0.03	16%	14 Sept →
anubis	14–16	-0.01	11%	14 Sept →
dust2	12–16	-0.02	13%	13 Sept →
ancient	10–13	-0.08	16%	13 Sept →
nuke	15–15	0.03	18%	13 Sept →
ancient	14–16	-0.03	15%	12 Sept →
nuke	13–10	-0.01	18%	12 Sept →
inferno	9–6	0.03	16%	12 Sept →
inferno	8–13	-0.01	24%	11 Sept →
anubis	13–11	-0.05	7%	10 Sept →
dust2	1–13	0.00	18%	10 Sept →
inferno	9–7	0.06	11%	10 Sept →
nuke	7–13	-0.02	33%	9 Sept →
dust2	13–6	0.11	21%	9 Sept →
ancient	11–13	0.01	23%	8 Sept →
inferno	6–13	0.03	23%	8 Sept →
inferno	10–13	0.06	20%	7 Sept →
nuke	13–7	0.19	33%	7 Sept →
inferno	5–13	0.01	13%	6 Sept →
nuke	9–13	0.01	27%	6 Sept →
ancient	13–10	0.06	23%	6 Sept →
dust2	12–12	-0.01	18%	5 Sept →
nuke	9–13	0.06	17%	5 Sept →
nuke	11–13	0.02	13%	5 Sept →
mirage	16–13	-0.06	30%	4 Sept →
ancient	13–9	-0.04	26%	4 Sept →
dust2	9–13	-0.03	18%	4 Sept →
nuke	13–6	0.09	15%	4 Sept →
cache	6–13	-0.01	18%	4 Sept →
inferno	13–3	0.13	19%	4 Sept →
dust2	11–13	-0.03	17%	3 Sept →
cache	4–13	0.00	32%	3 Sept →
dust2	9–13	-0.05	27%	30 Aug →
mirage	13–9	0.01	24%	30 Aug →
mirage	13–11	-0.06	4%	29 Aug →
dust2	10–13	-0.11	7%	29 Aug →
anubis	16–13	-0.03	23%	29 Aug →
inferno	9–13	-0.02	16%	29 Aug →
dust2	5–13	0.01	26%	29 Aug →
cache	13–10	0.02	18%	29 Aug →
inferno	13–6	0.03	13%	28 Aug →
nuke	8–13	-0.03	17%	28 Aug →
cache	8–13	-0.01	18%	28 Aug →
dust2	16–14	0.05	13%	27 Aug →
nuke	13–10	0.00	26%	27 Aug →