ᴍʏꜱᴛᴇʀʏ 𓆩🖤𓆪 — CS2 Stats

EE76561198444966104[U:1:484700376]Steam profile ↗✓ No bans

4,673Tracked matches45%Win rate2020Tracked since

6,627Hours in CS18Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating17,291Purple band · top ~19.3% of ranked players (population est.)

CSDB Leaderboard#29953 of 58466 tracked

Ladder ranks via Leetify

Rating over time

17,291Peak Premier on CSDB

918Peak Faceit ELO on CSDB

1Days observed since 2026-08-31

Faceit ELO

At peak — 918
Next: Level 5 at 1,051 — 133 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-08-31
Level 3 first seen 2026-08-31

Premier CS Rating

At peak — 17,291
Next: Pink band at 20,000 — 2,709 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-31
Blue band first seen 2026-08-31

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=7,746), 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	37.3%	44.2%	47.1%	9.7% short
Shot accuracy	9.4%	11.7%	12.8%	3.5% short
Kill/death ratio	0.73	1.03	1.08	0.35 short
Match win rate	40.4%	45.2%	46.7%	6.3% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Kill/death ratio. 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

Aim56

Positioning31

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLLWWWLLWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim5.6

Aggression0.9

Utility4.6

Positioning3.1

Opening Duels0.0

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.

Your pro match

Plays most like NiKo 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

T-side openings. Opening success drops from 36% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim5.6

Positioning3.1

Utility4.6

Mechanics5.6

Opening Duels0.7

Win Impact3.3

Composite 4.2/10 (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 rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time559ms−53ms

first ⅓ avg 612ms → last ⅓ avg 559ms

Headshot accuracy12.6%−1.4%

first ⅓ avg 14.1% → last ⅓ avg 12.6%

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.

Highlights

0.06Best rating — dust2 13–2

13–1Biggest win — anubis

3Longest win streak

L2Current streak

8–14In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 60% over 5nukeWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	26	11–15	42%	-0.03
cache	C	23	9–14	39%	-0.03
nuke	D	18	6–12	33%	-0.03
anubis	B	15	8–7	53%	-0.02
mirage	B	10	5–5	50%	-0.03
dust2	A	5	3–2	60%	0.01
inferno	—	3	1–2	33%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

129,042Lifetime kills

0.73K/D

8,817Matches

40.4%Match win rate

37.3%Headshot %

9.4%Shot accuracy

15,925MVPs

3,758Hours (in match)

6,432Bombs planted

1,527Bombs defused

Most-used weapons

AK-4744,832

M4A4 / M4A1-S28,461

AWP10,732

P2000 / USP-S7,949

Galil AR6,388

Glock-186,048

FAMAS5,843

Desert Eagle4,984

P901,725

MP71,692

Lifetime map wins

12,300inferno

10,516dust2

7,209nuke

3,620vertigo

3,256train

471cbble

464office

42lake

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

Faceit stats

Combat

220Matches

49%Win rate

0.79Avg K/D

68.1ADR

37%Headshot %

Clutches & streaks

37%1v1 clutch win

11%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	40	45%	0.77	13.2
Mirage	39	54%	0.89	13.3
Nuke	38	58%	0.91	13.8
Anubis	24	50%	0.76	12.8
Dust2	14	36%	0.63	11.2
Vertigo	13	31%	0.76	11.5
Train	10	50%	0.88	13.6
Inferno	9	33%	0.76	12.4

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.

12.7%Headshot accuracy

32.0%Accuracy (enemy spotted)

30.8%Spray accuracy

75.3%Counter-strafing

9.0°Preaim

556msReaction time

11.7%T opening success

35.6%CT opening success

0.54Enemies flashed / flash

2.0%Flash assists

5.47HE damage / grenade

8.88Flashes / 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 12.6995% — below the 15% mark we flag
Aim Training →
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 11.6611% — below the 40% mark we flag

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.

33% win rate across 18 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
cache	7–13	-0.07	7%	30 Aug →
mirage	11–13	-0.03	11%	30 Aug →
ancient	13–9	-0.01	6%	23 Aug →
nuke	13–10	0.00	16%	23 Aug →
mirage	13–2	0.03	14%	23 Aug →
inferno	8–13	-0.09	18%	23 Aug →
cache	11–13	0.00	21%	20 Aug →
anubis	13–9	-0.05	15%	20 Aug →
cache	7–13	0.02	15%	20 Aug →
anubis	13–11	-0.04	14%	19 Aug →
nuke	9–13	-0.03	8%	19 Aug →
ancient	10–13	-0.03	14%	19 Aug →
ancient	13–5	-0.06	16%	18 Aug →
cache	10–13	-0.07	15%	16 Aug →
ancient	13–9	-0.03	9%	16 Aug →
nuke	13–16	-0.07	7%	16 Aug →
inferno	13–9	0.05	13%	16 Aug →
cache	4–13	-0.06	6%	16 Aug →
ancient	11–13	-0.03	16%	16 Aug →
nuke	5–13	-0.06	10%	16 Aug →
ancient	7–13	-0.04	11%	16 Aug →
cache	13–11	-0.08	7%	16 Aug →
cache	0–13	-0.11	9%	16 Aug →
mirage	9–13	-0.08	19%	15 Aug →
dust2	15–15	0.04	15%	14 Aug →
nuke	13–4	-0.07	14%	14 Aug →
nuke	6–13	-0.02	10%	13 Aug →
ancient	13–3	-0.00	11%	13 Aug →
dust2	13–10	-0.02	23%	13 Aug →
cache	13–8	0.04	11%	13 Aug →
cache	3–13	-0.03	13%	13 Aug →
nuke	8–13	-0.05	6%	13 Aug →
ancient	13–5	-0.03	20%	12 Aug →
mirage	10–13	-0.01	18%	12 Aug →
cache	13–4	0.06	22%	12 Aug →
ancient	13–8	-0.02	15%	11 Aug →
anubis	13–3	-0.00	7%	11 Aug →
nuke	9–13	-0.01	22%	10 Aug →
cache	13–5	-0.01	19%	10 Aug →
anubis	13–4	0.04	19%	10 Aug →
ancient	9–13	-0.08	14%	9 Aug →
anubis	13–11	-0.03	12%	9 Aug →
nuke	13–8	-0.03	10%	9 Aug →
cache	15–15	-0.06	19%	9 Aug →
cache	3–13	-0.06	7%	8 Aug →
ancient	7–13	-0.05	8%	8 Aug →
ancient	13–11	-0.00	8%	8 Aug →
nuke	13–4	0.00	11%	8 Aug →
nuke	13–8	-0.03	15%	7 Aug →
cache	9–13	-0.02	21%	7 Aug →
ancient	13–8	0.01	24%	6 Aug →
ancient	13–10	-0.04	14%	6 Aug →
mirage	14–16	-0.00	14%	6 Aug →
ancient	14–16	0.01	12%	6 Aug →
nuke	13–3	-0.03	11%	5 Aug →
anubis	13–1	0.01	11%	5 Aug →
inferno	14–16	-0.02	18%	5 Aug →
ancient	5–13	-0.03	6%	5 Aug →
cache	13–3	-0.10	20%	4 Aug →
anubis	13–10	-0.04	10%	4 Aug →
nuke	5–13	-0.07	14%	4 Aug →
ancient	11–13	-0.01	14%	2 Aug →
nuke	7–13	-0.04	12%	2 Aug →
mirage	14–16	-0.10	10%	2 Aug →
cache	16–13	0.02	15%	1 Aug →
cache	13–11	0.01	16%	1 Aug →
ancient	11–13	-0.08	20%	1 Aug →
cache	4–13	0.00	21%	31 Jul →
anubis	16–13	-0.01	11%	31 Jul →
nuke	8–13	-0.01	18%	31 Jul →
ancient	7–13	-0.04	10%	31 Jul →
mirage	13–7	-0.04	16%	31 Jul →
dust2	13–2	0.06	30%	31 Jul →
anubis	10–13	0.04	22%	31 Jul →
nuke	10–13	-0.06	14%	29 Jul →
ancient	11–13	0.01	15%	29 Jul →
ancient	13–11	0.01	10%	28 Jul →
mirage	13–5	-0.04	13%	28 Jul →
nuke	11–13	-0.00	14%	28 Jul →
ancient	10–13	-0.05	10%	28 Jul →
dust2	13–10	0.02	12%	28 Jul →
cache	11–13	-0.01	16%	28 Jul →
anubis	9–13	-0.07	7%	28 Jul →
mirage	16–13	-0.04	13%	28 Jul →
ancient	8–13	-0.03	8%	27 Jul →
anubis	11–13	-0.06	13%	27 Jul →
cache	13–11	0.03	16%	26 Jul →
mirage	13–10	-0.02	9%	26 Jul →
ancient	3–13	-0.07	15%	26 Jul →
anubis	14–16	-0.05	11%	26 Jul →
cache	7–13	-0.04	19%	25 Jul →
nuke	15–15	-0.04	9%	25 Jul →
anubis	7–13	-0.07	18%	25 Jul →
ancient	15–15	-0.05	9%	24 Jul →
anubis	10–13	0.01	17%	24 Jul →
dust2	5–13	-0.06	21%	24 Jul →
anubis	10–13	-0.03	16%	23 Jul →
ancient	13–8	-0.05	8%	23 Jul →
cache	7–13	-0.02	11%	23 Jul →
cache	13–11	-0.01	14%	22 Jul →