𝕱𝖑𝖆𝖒𝖊 † — CS2 Stats

AU76561198887588590[U:1:927322862]Steam profile ↗✓ No bans

4,466Tracked matches87%Win rate2020Tracked since

6,139Hours in CS40Hrs last 2 wks

CSDB Rating7.0 StrongPositional Player

Premier CS Rating20,540Top 50% of 211,827 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#75635 of 258747 tracked

FaceitLevel 10 · 2,152 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 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: 20,540 +894 13 Oct – 29 Oct · 4 days played

Faceit ELO: 2,152 +0 28 Aug – 13 Sept · 2 observations

20,643Peak Premier in tracked matches

2,152Highest Faceit ELO seen on CSDB

33Days played since 2026-08-25

Faceit ELO

At peak — 2,152
Next: 2,500 ELO at 2,500 — 348 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

103 below peak (20,643)
Next: Red band at 25,000 — 4,460 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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	Level 10 median
Headshot rate	56.9%	50.9%
Shot accuracy	14.2%	13.7%
Kill/death ratio	1.74	1.09
Match win rate	45.2%	48.4%

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Performance scores

Aim81

Positioning65

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY70–29–1Last 10070%Win rateLWWLWWWWWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.6pp headshot accuracy · +62ms reaction

Win rate −10pp 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 -0.02
Avg headshot accuracy 21%
Avg reaction 530ms

Last 10

8–2 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 555ms

Last 20

17–3 · 85% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 524ms

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 (+1.6 against its own average).

Aim8.1

Utility6.2

Positioning6.5

Opening Duels3.7

Clutch3.2

Effective flashes

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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

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

Positioning6.5

Utility6.2

Mechanics5.7

Opening Duels3.6

Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time516ms+13ms

first ⅓ avg 503ms → last ⅓ avg 516ms

Headshot accuracy17.1%−3.4%

first ⅓ avg 20.5% → last ⅓ avg 17.1%

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 · 13–3 · dust2, 13 Oct →

37%Best headshot accuracy · 13–3 · cache, 27 Aug →

352msFastest reaction time · 13–9 · ancient, 5 Oct →

13–0Biggest win · mirage, 8 Oct →

Across the last 100 tracked matches.

Highlights

16Longest win streak

7–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 94% over 16dust2Weakest map · 45% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	0.01
mirage	S	17	14–3	82%	0.02
nuke	S	16	15–1	94%	0.00
anubis	S	14	11–3	79%	0.02
ancient	S	11	8–3	73%	0.01
cache	S	9	7–2	78%	0.01
inferno	A	8	5–3	63%	0.01
vertigo	—	2	0–2	0%	0.04
office	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

287,868Lifetime kills

1.74K/D · Top 5% of Level 10 players

6,961Matches

45.2%Match win rate

56.9%Headshot % · Top 25% of Level 10 players

14.2%Shot accuracy · Top 50% of Level 10 players

17,817MVPs

5,781Hours (in match)

6,546Bombs planted

1,873Bombs defused

Most-used weapons

AK-47119,028

AWP41,575

Desert Eagle34,677

M4A4 / M4A1-S27,801

P2000 / USP-S11,952

UMP-456,707

Glock-185,948

MP95,919

MAC-104,293

Tec-93,385

Lifetime map wins

11,371inferno

9,013dust2

4,850nuke

2,767vertigo

2,701train

1,508office

458cbble

88lake

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

Faceit stats

Combat

3,132Matches

49%Win rate

1.07Avg K/D

79.4ADR

37%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	416	52%	1.10	16.3
Ancient	388	46%	1.05	16.6
Anubis	274	50%	1.07	16.4
Dust2	189	52%	1.03	16.2
Nuke	169	54%	1.06	15.3
Inferno	161	43%	0.98	15.7
Train	57	47%	1.00	15.8
Overpass	26	27%	0.86	14.8

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.

17.7%Headshot accuracy

37.1%Accuracy (enemy spotted)

40.9%Spray accuracy

75.9%Counter-strafing

8.9°Preaim

513msReaction time

41.7%T opening success

47.4%CT opening success

0.76Enemies flashed / flash

11.6%Flash assists

5.12HE damage / grenade

12.29Flashes / match

Recommended for you

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.

45% win rate across 22 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	11–13	0.03	21%	29 Oct →
cache	13–5	-0.11	20%	28 Oct →
mirage	16–14	-0.02	22%	27 Oct →
cache	11–13	-0.03	23%	27 Oct →
ancient	13–7	0.01	21%	27 Oct →
cache	13–3	0.01	7%	27 Oct →
nuke	13–11	-0.05	10%	27 Oct →
nuke	13–8	0.05	20%	26 Oct →
cache	13–1	0.01	19%	26 Oct →
mirage	16–12	0.02	17%	26 Oct →
mirage	13–9	0.03	26%	21 Oct →
nuke	13–2	0.04	21%	21 Oct →
anubis	13–7	0.02	13%	21 Oct →
dust2	8–13	-0.04	15%	21 Oct →
ancient	13–11	-0.00	18%	20 Oct →
nuke	13–7	0.05	13%	19 Oct →
nuke	13–7	-0.04	19%	14 Oct →
nuke	13–5	0.05	12%	14 Oct →
inferno	13–5	0.04	29%	14 Oct →
dust2	13–4	-0.06	9%	13 Oct →
cache	13–8	0.02	14%	13 Oct →
nuke	13–10	0.02	20%	13 Oct →
anubis	9–13	-0.00	14%	13 Oct →
inferno	13–10	0.04	25%	13 Oct →
dust2	13–3	0.17	28%	13 Oct →
anubis	13–8	0.04	16%	13 Oct →
anubis	13–8	0.00	16%	12 Oct →
nuke	13–5	-0.02	19%	12 Oct →
mirage	13–5	-0.01	0%	12 Oct →
anubis	13–6	0.09	20%	12 Oct →
mirage	13–9	0.06	15%	12 Oct →
ancient	13–10	0.04	16%	12 Oct →
mirage	13–11	-0.02	9%	8 Oct →
dust2	7–13	-0.02	5%	8 Oct →
mirage	13–0	0.08	8%	8 Oct →
mirage	13–9	0.09	24%	8 Oct →
dust2	13–8	0.06	17%	7 Oct →
anubis	3–13	-0.04	17%	7 Oct →
dust2	14–16	-0.01	25%	7 Oct →
anubis	13–7	0.07	26%	7 Oct →
mirage	13–11	0.10	20%	7 Oct →
dust2	9–13	0.00	28%	6 Oct →
nuke	9–13	0.02	24%	6 Oct →
ancient	13–9	0.06	15%	5 Oct →
nuke	16–13	0.03	16%	5 Oct →
anubis	13–10	-0.03	15%	5 Oct →
dust2	13–3	0.03	4%	4 Oct →
ancient	13–10	0.01	15%	4 Oct →
inferno	13–6	0.01	24%	4 Oct →
mirage	13–6	0.09	19%	4 Oct →
dust2	13–10	0.10	20%	4 Oct →
ancient	13–4	0.08	10%	4 Oct →
dust2	13–9	0.07	29%	2 Oct →
anubis	13–2	0.04	13%	30 Sept →
cache	13–2	0.03	9%	28 Sept →
mirage	13–5	-0.00	18%	28 Sept →
nuke	13–8	0.02	24%	28 Sept →
dust2	13–5	0.02	33%	28 Sept →
dust2	13–4	0.04	31%	28 Sept →
inferno	12–12	-0.08	20%	24 Sept →
nuke	13–5	-0.06	11%	24 Sept →
cache	13–4	0.07	17%	23 Sept →
vertigo	8–13	0.06	25%	23 Sept →
vertigo	9–13	0.02	11%	23 Sept →
mirage	13–3	0.04	35%	22 Sept →
inferno	13–11	0.04	22%	22 Sept →
dust2	10–13	0.01	11%	22 Sept →
nuke	13–4	0.06	13%	22 Sept →
ancient	13–9	-0.02	11%	22 Sept →
mirage	10–13	-0.04	13%	22 Sept →
dust2	1–13	-0.06	21%	22 Sept →
anubis	13–10	0.08	22%	16 Sept →
dust2	10–13	-0.02	15%	16 Sept →
anubis	13–8	0.01	16%	15 Sept →
dust2	5–13	-0.02	20%	14 Sept →
dust2	13–16	0.01	24%	10 Sept →
anubis	13–7	0.03	29%	10 Sept →
inferno	9–13	-0.05	28%	10 Sept →
ancient	8–13	-0.02	14%	10 Sept →
dust2	13–3	-0.01	21%	10 Sept →
mirage	16–14	-0.05	12%	9 Sept →
inferno	13–10	0.07	22%	9 Sept →
dust2	10–13	-0.00	27%	9 Sept →
inferno	8–13	-0.02	19%	8 Sept →
ancient	9–13	-0.06	21%	8 Sept →
dust2	10–13	0.02	30%	4 Sept →
mirage	13–10	0.00	12%	2 Sept →
anubis	3–13	-0.01	28%	2 Sept →
ancient	14–16	-0.02	21%	1 Sept →
dust2	16–13	-0.00	26%	1 Sept →
mirage	8–13	-0.03	20%	1 Sept →
nuke	13–10	-0.04	16%	28 Aug →
ancient	13–9	0.00	18%	28 Aug →
anubis	13–7	0.04	12%	28 Aug →
dust2	11–13	0.01	19%	28 Aug →
nuke	13–4	-0.08	24%	28 Aug →
cache	13–3	0.07	37%	27 Aug →
office	2–13	-0.07	25%	27 Aug →
nuke	13–6	0.03	19%	25 Aug →
mirage	7–13	-0.03	24%	25 Aug →