𝕷𝖚𝖘𝖘𝖊 — CS2 Stats

NO76561198128736083[U:1:168470355]Steam profile ↗✓ No bans

1,945Tracked matches43%Win rate2020Tracked since

5,689Hours in CS4Hrs last 2 wks

CSDB Rating5.5 SolidSupport

CSDB Leaderboard#232167 of 258178 tracked

FaceitLevel 9 · 1,965 ELOTop 20.7% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Aug 2026 (61 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,965 → 1,965

+22Tracked matches · now 1,945

+2.1ppWin rate · 40.7% → 42.9%

Rating over time

Premier CS Rating: 25,466 +841 9 May – 20 Jun · 9 days played

25,698Peak Premier in tracked matches

1,965Highest Faceit ELO seen on CSDB

50Days played since 2026-04-22

Faceit ELO

At peak — 1,965
Next: Level 10 at 2,001 — 36 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

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 9 among CSDB-tracked players (n=15,132), 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 9 median	Level 10 median	vs Level 10
Headshot rate	50.8%	48.2%	50.9%	meets
Shot accuracy	13.1%	13.2%	13.7%	0.6% short
Kill/death ratio	0.98	1.07	1.09	0.11 short
Match win rate	47.8%	46.9%	48.4%	meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim71

Positioning56

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLWLWLWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −9.3pp headshot accuracy · +4ms 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 -0.01
Avg headshot accuracy 20%
Avg reaction 517ms

Last 10

5–5 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 559ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 26%
Avg reaction 557ms

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 (+1.3 against its own average).

Aim7.1

Utility6.5

Positioning5.6

Opening Duels4.6

Clutch4.0

Strong 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.

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 ZywOo 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 58% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim7.1

Positioning5.6

Utility6.5

Mechanics5.5

Opening Duels4.7

Win Impact2.6

Composite 5.5/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time571ms−40ms

first ⅓ avg 611ms → last ⅓ avg 571ms

Headshot accuracy28.2%+2.8%

first ⅓ avg 25.4% → last ⅓ avg 28.2%

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

0.28Best match rating · 13–7 · office, 24 May →

55%Best headshot accuracy · 5–13 · inferno, 25 Jul →

406msFastest reaction time · 8–1 · mirage, 19 Oct →

13–1Biggest win · dust2, 25 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

9–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 60% over 20anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	23	10–13	43%	0.00
dust2	A	20	12–8	60%	0.01
mirage	C	20	8–12	40%	0.03
nuke	B	10	5–5	50%	0.02
anubis	D	9	3–6	33%	0.00
cache	B	8	4–4	50%	0.04
overpass	—	4	4–0	100%	0.06
vertigo	—	2	0–2	0%	0.02
office	—	2	1–1	50%	0.14
ancient	—	2	0–2	0%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,446Lifetime kills

0.98K/D

6,386Matches

47.8%Match win rate · Top 50% of Level 9 players

50.8%Headshot % · Top 50% of Level 9 players

13.1%Shot accuracy

17,427MVPs

3,895Hours (in match)

6,871Bombs planted

2,284Bombs defused

Most-used weapons

AK-4746,809

M4A4 / M4A1-S21,793

Desert Eagle20,191

AWP19,264

P2000 / USP-S11,319

P2506,392

Glock-185,242

SSG 083,712

Knife2,956

FAMAS2,177

Lifetime map wins

15,045inferno

10,602dust2

6,612nuke

4,072train

2,575cbble

1,921vertigo

696office

180assault

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

Faceit stats

Combat

1,008Matches

52%Win rate

1.07Avg K/D

76.4ADR

50%Headshot %

Clutches & streaks

40%1v1 clutch win

27%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	59	59%	1.03	14.9
Inferno	39	59%	0.98	14.4
Nuke	34	53%	1.25	15.9
Overpass	25	56%	1.17	16.8
Ancient	23	57%	0.99	14.2
Mirage	17	41%	1.32	16.3
Anubis	15	53%	1.24	14.4
Train	8	38%	0.87	14.1

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.

28.0%Headshot accuracy

31.6%Accuracy (enemy spotted)

31.5%Spray accuracy

74.7%Counter-strafing

9.9°Preaim

576msReaction time

39.4%T opening success

58.2%CT opening success

0.61Enemies flashed / flash

8.3%Flash assists

7.78HE damage / grenade

10.46Flashes / 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.

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 39.3535% — below the 40% mark we flag

Spend your practice time on Anubis

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 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.06	34%	26 Oct →
inferno	8–13	-0.02	22%	26 Oct →
nuke	13–5	0.02	16%	26 Oct →
dust2	4–13	-0.03	15%	21 Oct →
mirage	8–1	0.06	14%	19 Oct →
nuke	7–13	0.03	29%	18 Oct →
dust2	13–3	0.04	29%	7 Oct →
mirage	7–13	-0.05	19%	5 Oct →
dust2	6–13	0.03	15%	5 Oct →
mirage	13–11	0.08	24%	5 Oct →
nuke	13–3	0.08	43%	1 Oct →
mirage	13–4	0.10	28%	1 Oct →
anubis	3–13	-0.04	23%	1 Oct →
inferno	13–6	0.09	44%	29 Sept →
cache	12–12	0.04	40%	29 Sept →
mirage	6–13	-0.02	25%	29 Sept →
nuke	6–13	-0.08	10%	26 Aug →
inferno	13–6	-0.03	21%	24 Aug →
cache	2–13	0.03	43%	24 Aug →
cache	13–11	-0.02	31%	24 Aug →
dust2	13–11	0.00	27%	19 Aug →
dust2	4–13	-0.02	34%	17 Aug →
inferno	10–13	0.02	41%	5 Aug →
mirage	12–12	-0.00	42%	31 Jul →
vertigo	8–13	0.05	28%	31 Jul →
inferno	10–13	-0.03	29%	29 Jul →
dust2	13–7	0.05	18%	29 Jul →
dust2	9–13	0.01	24%	29 Jul →
anubis	3–13	-0.08	24%	29 Jul →
inferno	8–13	-0.03	29%	27 Jul →
cache	13–8	0.12	24%	27 Jul →
inferno	5–13	0.00	55%	25 Jul →
nuke	13–3	0.01	31%	25 Jul →
dust2	13–1	0.02	31%	25 Jul →
mirage	2–13	-0.03	21%	25 Jul →
mirage	13–7	-0.01	28%	25 Jul →
inferno	5–13	-0.05	30%	25 Jul →
mirage	11–13	0.02	28%	24 Jul →
inferno	13–7	0.09	25%	24 Jul →
mirage	7–13	0.07	32%	24 Jul →
nuke	12–12	0.01	33%	24 Jul →
anubis	4–13	0.14	40%	23 Jul →
mirage	13–5	0.08	35%	22 Jul →
anubis	11–13	-0.00	25%	22 Jul →
dust2	13–11	0.03	21%	22 Jul →
vertigo	12–12	-0.00	10%	21 Jul →
anubis	13–3	0.03	50%	21 Jul →
dust2	9–13	-0.00	18%	15 Jul →
inferno	2–13	-0.05	19%	13 Jul →
mirage	5–13	0.08	34%	13 Jul →
overpass	13–8	0.03	19%	3 Jul →
nuke	13–8	0.07	19%	3 Jul →
inferno	13–8	0.01	19%	3 Jul →
dust2	6–13	-0.01	43%	3 Jul →
mirage	11–13	-0.01	28%	2 Jul →
mirage	8–13	0.02	33%	1 Jul →
overpass	13–6	0.14	30%	22 Jun →
cache	9–13	0.01	39%	22 Jun →
nuke	4–13	0.01	22%	22 Jun →
mirage	13–10	0.01	24%	21 Jun →
dust2	10–13	0.05	32%	20 Jun →
inferno	10–13	-0.01	29%	20 Jun →
inferno	13–7	0.01	50%	17 Jun →
office	11–13	0.01	27%	14 Jun →
inferno	7–13	-0.03	23%	14 Jun →
anubis	13–10	0.09	22%	6 Jun →
anubis	6–13	-0.04	48%	5 Jun →
cache	13–7	0.07	30%	5 Jun →
mirage	10–13	0.08	21%	5 Jun →
inferno	2–13	-0.08	27%	3 Jun →
mirage	11–13	0.07	38%	1 Jun →
mirage	13–10	0.03	16%	31 May →
dust2	13–7	0.08	28%	29 May →
ancient	9–13	0.09	33%	29 May →
mirage	12–16	-0.00	34%	28 May →
dust2	13–9	0.03	25%	28 May →
office	13–7	0.28	50%	24 May →
ancient	9–13	-0.00	23%	24 May →
overpass	13–9	0.02	20%	23 May →
inferno	16–12	0.08	16%	20 May →
nuke	8–13	-0.02	30%	16 May →
anubis	14–16	-0.03	24%	16 May →
dust2	13–10	0.00	15%	16 May →
inferno	1–13	-0.08	17%	16 May →
anubis	19–17	-0.03	18%	13 May →
inferno	12–16	-0.01	24%	12 May →
dust2	13–11	-0.03	23%	11 May →
mirage	8–3	0.07	18%	10 May →
overpass	13–11	0.05	17%	10 May →
nuke	13–10	0.02	37%	10 May →
inferno	6–13	-0.01	23%	9 May →
inferno	13–11	-0.02	12%	9 May →
cache	6–13	0.02	16%	9 May →
inferno	13–11	0.07	32%	9 May →
inferno	13–5	-0.03	29%	9 May →
cache	13–8	0.04	45%	9 May →
dust2	13–4	0.00	17%	4 May →
inferno	13–7	0.10	35%	4 May →
dust2	13–3	0.01	24%	1 May →
dust2	7–13	-0.03	25%	22 Apr →