욱 — CS2 Stats

76561198338229387[U:1:377963659]✓ No bans

1,923Tracked matches67%Win rate2023Tracked since

1,531Hours in CS23Hrs last 2 wks

CSDB Rating6.7 SolidHybrid Rifler

Premier CS Rating25,109Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#4400 of 37296 tracked

FaceitLevel 8 · 1,621 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Rating over time

25,109Peak Premier on CSDB

1,621Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 1,621
Next: Level 9 at 1,751 — 130 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-30
Level 7 first seen 2026-08-30

Premier CS Rating

At peak — 25,109
Next: Gold band at 30,000 — 4,891 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-30
Pink band first seen 2026-08-30

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 Level 8 among CSDB-tracked players (n=1,146), 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 8 median	Level 9 median	vs Level 9
Headshot rate	46.5%	47.2%	49.0%	2.4% short
Shot accuracy	0.8%	12.3%	13.1%	12.3% short
Kill/death ratio	1.08	1.07	1.08	meets
Match win rate	51.1%	46.3%	46.9%	above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning46

Utility46

0–100 skill scores via Leetify.

Recent form

HOT58–38–4Last 10058%Win rateWWWLWWWWWW

Last 10 vs previous 10: +30pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.6

Aggression6.0

Utility4.6

Positioning4.6

Opening Duels2.0

Clutch2.2

Sharp aimerStrong CT-side opener

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 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning4.6

Utility4.6

Mechanics6.7

Opening Duels2.2

Win Impact10.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time499ms−16ms

first ⅓ avg 515ms → last ⅓ avg 499ms

Headshot accuracy15.9%+1.2%

first ⅓ avg 14.7% → last ⅓ avg 15.9%

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

0.16Best rating — nuke 5–1

13–1Biggest win — nuke

6Longest win streak

W3Current streak

6–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 78% over 9mirageWeakest map · 46% over 24

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	16–15	52%	0.02
mirage	B	24	11–13	46%	0.02
ancient	A	16	10–6	63%	0.05
nuke	S	9	7–2	78%	0.02
anubis	S	9	6–3	67%	0.02
cache	S	7	5–2	71%	-0.01
inferno	—	4	3–1	75%	0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,126Lifetime kills

1.08K/D · Top 50% of Level 8 players

2,180Matches

51.1%Match win rate · Top 25% of Level 8 players

46.5%Headshot %

0.8%Shot accuracy

5,088MVPs

844Hours (in match)

1,373Bombs planted

437Bombs defused

Most-used weapons

AK-4718,296

M4A4 / M4A1-S8,191

Desert Eagle2,377

P2000 / USP-S1,994

Galil AR1,717

AWP1,504

Glock-181,502

MP91,209

FAMAS1,025

MAC-10724

Lifetime map wins

5,361dust2

2,503inferno

1,795nuke

581vertigo

238train

13office

1ar_shoots

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

Faceit stats

Combat

19Matches

68%Win rate

1.13Avg K/D

91.0ADR

44%Headshot %

Clutches & streaks

31%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	7	71%	1.16	19.4
Mirage	5	60%	1.06	13.0
Inferno	4	75%	1.16	15.0
Ancient	2	50%	1.27	24.0
Anubis	1	100%	1.00	15.0

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.

15.8%Headshot accuracy

38.0%Accuracy (enemy spotted)

41.5%Spray accuracy

80.3%Counter-strafing

7.9°Preaim

492msReaction time

28.8%T opening success

47.5%CT opening success

0.45Enemies flashed / flash

7.4%Flash assists

6.98HE damage / grenade

6.11Flashes / 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 0.4456 — 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 28.8195% — below the 40% mark we flag

Spend your practice time on Mirage

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

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–6	-0.03	32%	29 Aug →
nuke	13–3	0.06	18%	29 Aug →
ancient	7–2	0.08	28%	29 Aug →
cache	4–13	-0.07	0%	29 Aug →
dust2	13–10	-0.01	26%	29 Aug →
inferno	13–4	-0.07	25%	29 Aug →
mirage	13–4	0.00	25%	29 Aug →
ancient	13–4	0.03	7%	29 Aug →
ancient	13–7	0.08	24%	29 Aug →
anubis	13–3	0.06	6%	29 Aug →
anubis	4–13	-0.02	8%	29 Aug →
mirage	13–10	-0.01	14%	29 Aug →
nuke	13–1	0.02	28%	29 Aug →
mirage	8–13	0.04	15%	29 Aug →
mirage	13–6	0.04	13%	28 Aug →
dust2	13–7	0.03	18%	28 Aug →
dust2	10–13	0.05	15%	28 Aug →
nuke	5–1	0.16	35%	28 Aug →
dust2	13–7	0.03	20%	28 Aug →
mirage	11–13	0.01	9%	28 Aug →
nuke	13–10	-0.06	12%	17 Aug →
anubis	13–3	0.05	11%	17 Aug →
dust2	11–13	-0.00	13%	17 Aug →
dust2	2–13	-0.02	5%	17 Aug →
ancient	11–13	0.04	8%	17 Aug →
nuke	13–16	-0.01	24%	17 Aug →
ancient	13–11	0.01	12%	17 Aug →
dust2	13–16	-0.03	11%	17 Aug →
cache	13–11	-0.01	18%	17 Aug →
cache	13–11	-0.02	13%	17 Aug →
dust2	13–7	0.14	11%	17 Aug →
mirage	13–10	0.02	16%	17 Aug →
dust2	4–13	-0.05	4%	17 Aug →
dust2	14–16	0.00	18%	15 Aug →
ancient	5–13	-0.06	13%	15 Aug →
ancient	14–16	0.04	12%	15 Aug →
mirage	13–8	0.02	16%	15 Aug →
mirage	13–3	0.03	22%	15 Aug →
dust2	9–13	0.03	16%	15 Aug →
mirage	6–13	0.04	16%	15 Aug →
mirage	15–15	0.04	15%	15 Aug →
dust2	13–11	0.01	9%	15 Aug →
anubis	13–9	-0.06	11%	15 Aug →
cache	13–10	-0.02	7%	15 Aug →
dust2	13–4	0.12	11%	15 Aug →
mirage	13–8	0.08	10%	15 Aug →
ancient	13–7	0.14	16%	15 Aug →
dust2	3–13	-0.03	38%	15 Aug →
cache	13–10	0.07	25%	13 Aug →
cache	9–13	-0.07	9%	13 Aug →
dust2	13–5	0.05	7%	13 Aug →
inferno	5–13	0.02	22%	13 Aug →
inferno	13–5	0.06	11%	13 Aug →
mirage	12–16	-0.01	16%	13 Aug →
mirage	13–6	0.05	12%	13 Aug →
cache	13–5	0.04	13%	13 Aug →
dust2	2–13	0.03	26%	13 Aug →
ancient	11–13	0.05	9%	13 Aug →
anubis	15–15	0.00	10%	13 Aug →
ancient	13–11	-0.00	16%	13 Aug →
dust2	13–5	-0.00	15%	13 Aug →
dust2	7–13	-0.03	24%	13 Aug →
mirage	13–1	-0.02	30%	13 Aug →
mirage	10–13	-0.01	15%	13 Aug →
ancient	13–2	0.11	29%	13 Aug →
nuke	13–4	0.02	12%	13 Aug →
mirage	8–13	0.04	13%	13 Aug →
dust2	4–13	-0.00	19%	13 Aug →
dust2	5–13	-0.02	11%	11 Aug →
ancient	13–10	0.03	19%	11 Aug →
dust2	13–9	0.03	11%	11 Aug →
mirage	15–15	0.03	18%	11 Aug →
mirage	13–9	0.06	24%	11 Aug →
anubis	13–6	0.07	10%	11 Aug →
anubis	13–4	0.06	10%	11 Aug →
mirage	13–5	-0.04	8%	11 Aug →
dust2	7–13	-0.01	25%	11 Aug →
dust2	13–6	0.10	11%	11 Aug →
dust2	13–6	0.09	23%	11 Aug →
ancient	10–13	0.01	14%	11 Aug →
dust2	13–4	0.06	17%	11 Aug →
mirage	10–13	0.03	19%	11 Aug →
nuke	13–6	0.02	9%	11 Aug →
inferno	13–6	0.08	14%	11 Aug →
ancient	10–13	-0.02	9%	11 Aug →
nuke	13–11	0.01	12%	11 Aug →
anubis	13–4	0.06	29%	11 Aug →
ancient	13–1	0.09	26%	11 Aug →
ancient	13–5	0.09	20%	11 Aug →
mirage	13–16	-0.01	8%	11 Aug →
mirage	15–15	0.06	6%	11 Aug →
dust2	12–16	0.03	10%	11 Aug →
dust2	6–13	-0.03	33%	11 Aug →
anubis	8–13	-0.02	10%	9 Aug →
dust2	13–4	0.10	16%	9 Aug →
mirage	8–13	0.03	10%	9 Aug →
dust2	13–6	0.03	23%	9 Aug →
nuke	0–2	0.00	0%	9 Aug →
dust2	13–8	0.00	5%	9 Aug →
mirage	4–13	-0.06	7%	9 Aug →