GZED🐻 — CS2 Stats

FR76561197960546687[U:1:280959]Steam profile ↗✓ No bans

3,720Tracked matches46%Win rate2020Tracked since

5,223Hours in CS70Hrs last 2 wks

CSDB Rating6.1 SolidSupport

Premier CS Rating18,801Top 50% of 213,399 CSDB-tracked playersPurple band · top ~13.3% of ranked players (population est.)

CSDB Leaderboard#101844 of 260013 tracked

FaceitLevel 9 · 1,473 ELOTop 20.7% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 18,801 -1,198 1 Sept – 4 Nov · 29 days played

Faceit ELO: 1,473 +0 1 Sept – 19 Sept · 2 observations

20,994Peak Premier in tracked matches

1,473Highest Faceit ELO seen on CSDB

31Days played since 2026-09-01

Faceit ELO

At peak — 1,473
Next: Level 8 at 1,531 — 58 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-01
Level 6 first seen 2026-09-01

Premier CS Rating

2,193 below peak (20,994)
-581 over 30 days · declining
Next: Pink band at 20,000 — 1,199 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-09-19
Purple 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. 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	59.8%	48.2%	50.9%	above
Shot accuracy	6.4%	13.2%	13.7%	7.3% short
Kill/death ratio	0.96	1.07	1.09	0.13 short
Match win rate	40.8%	46.9%	48.4%	7.6% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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

Aim81

Positioning53

Utility56

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLWLLWLWTLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −3.8pp headshot accuracy · +84ms 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 741ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 24%
Avg reaction 682ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.00
Avg headshot accuracy 26%
Avg reaction 640ms

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 (+1.4 against its own average).

Aim8.1

Utility5.6

Positioning5.3

Opening Duels2.2

Clutch3.6

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 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 613ms 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

Positioning5.3

Utility5.6

Mechanics7.7

Opening Duels2.3

Win Impact3.8

Composite 6.1/10 (Solid), 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 rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time623ms+6ms

first ⅓ avg 616ms → last ⅓ avg 623ms

Headshot accuracy26.5%+2.0%

first ⅓ avg 24.5% → last ⅓ avg 26.5%

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

0.13Best match rating · 6–13 · dust2, 24 Oct →

61%Best headshot accuracy · 1–13 · cache, 11 Oct →

422msFastest reaction time · 5–13 · cache, 7 Oct →

13–2Biggest win · anubis, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 67% over 18ancientWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	15–16	48%	-0.00
anubis	S	18	12–6	67%	0.01
inferno	D	13	4–9	31%	0.00
nuke	A	11	6–5	55%	0.00
cache	C	10	4–6	40%	-0.01
mirage	D	9	3–6	33%	-0.03
ancient	D	8	1–7	13%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

187,493Lifetime kills

0.96K/D

7,824Matches

40.8%Match win rate

59.8%Headshot % · Top 10% of Level 9 players

6.4%Shot accuracy

18,703MVPs

3,999Hours (in match)

10,733Bombs planted

1,909Bombs defused

Most-used weapons

AK-4784,190

M4A4 / M4A1-S36,794

Desert Eagle16,530

AWP13,516

P2000 / USP-S10,048

Glock-185,392

Galil AR3,979

FAMAS3,659

Knife2,303

SG 5531,475

Lifetime map wins

16,488dust2

13,908inferno

6,711nuke

3,583vertigo

2,148train

493cbble

26office

19ar_shoots

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

Faceit stats

Combat

2,463Matches

50%Win rate

1.06Avg K/D

80.9ADR

51%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	311	54%	1.05	16.3
Inferno	254	52%	1.12	16.4
Mirage	179	49%	1.00	15.7
Anubis	168	52%	1.02	15.7
Ancient	153	46%	1.09	16.5
Nuke	136	52%	1.06	15.8
Vertigo	83	52%	1.00	15.9
Cache	58	40%	0.95	15.2

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.

26.9%Headshot accuracy

36.0%Accuracy (enemy spotted)

36.4%Spray accuracy

84.8%Counter-strafing

10.1°Preaim

613msReaction time

34.7%T opening success

44.1%CT opening success

0.73Enemies flashed / flash

1.6%Flash assists

10.59HE damage / grenade

16.12Flashes / 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 34.6754% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	2–13	-0.06	23%	4 Nov →
dust2	13–9	0.01	19%	4 Nov →
nuke	8–13	-0.02	38%	4 Nov →
anubis	4–13	-0.03	11%	4 Nov →
mirage	13–8	0.02	21%	4 Nov →
dust2	11–13	0.01	17%	3 Nov →
dust2	13–8	-0.01	26%	3 Nov →
ancient	15–15	0.06	30%	3 Nov →
inferno	3–13	-0.07	31%	2 Nov →
cache	7–13	-0.01	26%	2 Nov →
dust2	5–13	-0.02	28%	2 Nov →
dust2	6–13	-0.08	29%	2 Nov →
inferno	11–13	-0.02	38%	1 Nov →
anubis	13–6	0.04	36%	1 Nov →
dust2	16–13	0.00	16%	31 Oct →
ancient	9–13	-0.04	17%	31 Oct →
anubis	9–13	0.06	27%	31 Oct →
anubis	13–7	0.02	33%	31 Oct →
cache	5–13	0.02	23%	30 Oct →
anubis	13–2	0.07	30%	30 Oct →
nuke	9–13	0.05	21%	30 Oct →
mirage	13–9	-0.01	40%	30 Oct →
anubis	13–7	0.10	40%	30 Oct →
inferno	3–13	0.02	27%	30 Oct →
anubis	13–11	-0.03	32%	29 Oct →
inferno	12–12	0.02	27%	29 Oct →
anubis	13–5	0.03	24%	29 Oct →
dust2	3–12	-0.01	16%	29 Oct →
ancient	13–11	0.06	29%	28 Oct →
dust2	13–10	-0.00	29%	28 Oct →
inferno	13–6	0.01	24%	28 Oct →
dust2	7–13	-0.04	16%	28 Oct →
mirage	5–13	0.00	28%	28 Oct →
cache	6–13	-0.02	32%	28 Oct →
nuke	13–11	-0.04	16%	27 Oct →
anubis	13–8	0.00	14%	27 Oct →
nuke	10–13	-0.02	23%	27 Oct →
dust2	14–16	0.00	19%	27 Oct →
nuke	12–12	0.08	23%	26 Oct →
inferno	7–13	0.08	25%	26 Oct →
anubis	13–11	0.12	21%	26 Oct →
dust2	6–13	-0.01	30%	26 Oct →
dust2	19–17	0.05	24%	25 Oct →
dust2	13–9	0.01	13%	25 Oct →
dust2	12–12	0.01	19%	25 Oct →
inferno	4–13	-0.07	28%	25 Oct →
dust2	13–5	0.04	28%	24 Oct →
inferno	9–13	-0.03	19%	24 Oct →
nuke	13–10	-0.04	21%	24 Oct →
dust2	5–13	-0.07	37%	24 Oct →
dust2	13–10	-0.01	22%	24 Oct →
mirage	8–13	0.03	23%	24 Oct →
dust2	13–3	0.12	26%	24 Oct →
mirage	9–13	-0.02	23%	24 Oct →
dust2	6–13	0.13	18%	24 Oct →
cache	13–10	0.01	17%	24 Oct →
ancient	11–13	0.02	36%	24 Oct →
cache	16–13	-0.03	27%	23 Oct →
ancient	8–13	-0.02	32%	23 Oct →
dust2	15–15	-0.03	14%	22 Oct →
ancient	0–2	-0.01	40%	22 Oct →
ancient	7–13	-0.02	18%	22 Oct →
anubis	1–13	-0.02	13%	22 Oct →
dust2	9–13	-0.04	24%	21 Oct →
cache	9–13	-0.06	30%	20 Oct →
anubis	3–13	-0.04	19%	20 Oct →
dust2	11–13	0.07	31%	20 Oct →
nuke	4–13	-0.04	35%	19 Oct →
anubis	13–10	-0.03	29%	19 Oct →
mirage	13–7	-0.03	17%	18 Oct →
cache	13–9	-0.02	24%	18 Oct →
anubis	13–6	0.00	29%	17 Oct →
dust2	13–10	0.01	30%	16 Oct →
mirage	8–13	-0.10	13%	16 Oct →
dust2	5–13	-0.02	18%	15 Oct →
dust2	5–13	-0.10	14%	15 Oct →
ancient	8–13	-0.09	26%	15 Oct →
mirage	4–13	-0.09	17%	13 Oct →
anubis	13–7	0.02	20%	13 Oct →
anubis	13–7	-0.00	21%	12 Oct →
inferno	16–12	0.01	27%	12 Oct →
cache	1–13	-0.03	61%	11 Oct →
inferno	13–5	0.05	35%	11 Oct →
inferno	13–4	0.02	25%	11 Oct →
cache	13–3	0.00	28%	10 Oct →
anubis	10–13	-0.09	21%	9 Oct →
nuke	13–7	0.08	22%	8 Oct →
nuke	13–9	-0.06	16%	8 Oct →
nuke	13–8	0.01	24%	8 Oct →
dust2	13–11	-0.04	23%	7 Oct →
cache	5–13	0.01	20%	7 Oct →
nuke	13–5	0.06	20%	7 Oct →
dust2	13–9	-0.02	31%	7 Oct →
inferno	7–13	0.06	41%	7 Oct →
inferno	11–13	-0.04	22%	6 Oct →
dust2	19–17	-0.06	25%	5 Oct →
dust2	13–11	-0.02	17%	5 Oct →
dust2	13–4	0.04	20%	4 Oct →
dust2	15–15	-0.04	21%	4 Oct →
mirage	4–13	-0.07	15%	4 Oct →