Dedarkℤ 💢 — CS2 Stats

76561198005452873[U:1:45187145]Steam profile ↗✓ No bans

2,390Tracked matches48%Win rate2022Tracked since

1,438Hours in CS

CSDB Rating5.6 SolidSupport

Premier CS Rating26,961Top 5% of 204,793 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)

CSDB Leaderboard#6119 of 251934 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (5 days ago). 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: 26,961 +623 18 Aug – 10 Oct · 14 days played

27,092Peak Premier in tracked matches

28Days played since 2026-08-13

Premier CS Rating

At peak — 26,961
+1,961 over 30 days · improving
Next: Gold band at 30,000 — 3,039 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-09-05
Pink band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	60	—	—
Win rate	60%	—	—
K/D	0.86	—	—
Headshot %	51%	—	—

Measured 13 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=13,318), 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	Red band median	Gold band median	vs Gold band
Headshot rate	36.0%	49.3%	50.9%	14.9% short
Shot accuracy	10.3%	13.4%	11.8%	1.5% short
Kill/death ratio	1.22	1.12	1.18	above
Match win rate	51.8%	48.5%	51.9%	meets

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim68

Positioning47

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLWWLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · +19ms 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 16%
Avg reaction 592ms

Last 10

5–5 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 16%
Avg reaction 567ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 558ms

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 (+2.6 against its own average).

Aim6.8

Utility5.7

Positioning4.7

Opening Duels2.2

Clutch0.0

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 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 593ms 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

Aim6.8

Positioning4.7

Utility5.7

Mechanics5.3

Opening Duels2.8

Win Impact4.4

Composite 5.6/10 (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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time590ms−6ms

first ⅓ avg 596ms → last ⅓ avg 590ms

Headshot accuracy17.2%+2.6%

first ⅓ avg 14.7% → last ⅓ avg 17.2%

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

0.08Best match rating · 10–13 · nuke, 11 Oct →

50%Best headshot accuracy · 4–0 · inferno, 13 Sept →

359msFastest reaction time · 13–0 · inferno, 28 Sept →

13–0Biggest win · inferno, 28 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

6–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

trainBest map · 80% over 5anubisWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	25	15–10	60%	-0.02
inferno	B	17	9–8	53%	-0.01
cache	B	15	7–8	47%	-0.01
anubis	D	13	4–9	31%	-0.01
dust2	A	7	4–3	57%	-0.03
ancient	B	6	3–3	50%	-0.03
train	S	5	4–1	80%	-0.05
boulder	—	3	3–0	100%	-0.01
shelter	—	2	2–0	100%	0.00
office	—	2	0–2	0%	0.00
vertigo	—	1	0–1	0%	-0.01
eldorado	—	1	0–1	0%	0.02
poseidon	—	1	1–0	100%	-0.12
debris	—	1	0–1	0%	-0.03
italy	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,165Lifetime kills

1.22K/D · Top 50% of Red band

4,596Matches

51.8%Match win rate · Top 50% of Red band

36.0%Headshot %

10.3%Shot accuracy

8,374MVPs

1,438Hours (in match)

4,403Bombs planted

659Bombs defused

Most-used weapons

M4A4 / M4A1-S10,960

AWP10,214

AK-479,727

P903,819

Galil AR3,030

XM10142,774

FAMAS2,681

Desert Eagle2,449

P2000 / USP-S2,437

Glock-182,332

Lifetime map wins

8,682dust2

5,742nuke

5,335inferno

1,875train

1,829vertigo

572office

358cbble

278italy

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

Faceit stats

Combat

5Matches

60%Win rate

1.04Avg K/D

72.2ADR

24%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	1	100%	0.95	18.0
Inferno	1	0%	0.71	12.0
Dust2	1	100%	1.83	11.0

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.

17.4%Headshot accuracy

37.2%Accuracy (enemy spotted)

43.2%Spray accuracy

73.9%Counter-strafing

11.2°Preaim

593msReaction time

38.3%T opening success

44.4%CT opening success

0.66Enemies flashed / flash

8.0%Flash assists

7.68HE damage / grenade

8.69Flashes / 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 38.2828% — 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.

31% win rate across 13 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
anubis	7–13	-0.08	15%	11 Oct →
nuke	10–13	0.08	22%	11 Oct →
inferno	13–8	-0.01	7%	10 Oct →
ancient	13–8	-0.07	14%	10 Oct →
nuke	9–13	-0.01	22%	10 Oct →
cache	6–0	0.05	21%	10 Oct →
cache	13–1	0.02	15%	6 Oct →
nuke	13–8	0.04	18%	3 Oct →
anubis	11–13	-0.02	17%	3 Oct →
vertigo	1–6	-0.01	13%	28 Sept →
nuke	3–13	-0.03	13%	28 Sept →
inferno	13–0	0.01	20%	28 Sept →
anubis	13–3	0.04	16%	23 Sept →
inferno	4–13	0.02	11%	23 Sept →
ancient	5–13	0.01	18%	23 Sept →
cache	12–12	-0.02	15%	23 Sept →
anubis	8–13	-0.02	16%	22 Sept →
dust2	10–13	-0.08	18%	22 Sept →
train	13–7	-0.02	18%	20 Sept →
nuke	13–10	-0.01	19%	20 Sept →
cache	8–13	-0.06	33%	20 Sept →
train	13–11	-0.01	18%	19 Sept →
anubis	7–13	-0.05	15%	19 Sept →
nuke	3–13	-0.14	0%	19 Sept →
inferno	13–2	0.02	16%	19 Sept →
dust2	13–4	-0.04	19%	19 Sept →
nuke	7–13	-0.02	30%	18 Sept →
inferno	2–13	-0.05	17%	18 Sept →
cache	13–5	0.03	24%	18 Sept →
ancient	13–10	-0.03	17%	18 Sept →
inferno	7–13	-0.07	22%	18 Sept →
anubis	4–13	-0.07	17%	17 Sept →
cache	6–8	-0.03	13%	17 Sept →
nuke	9–13	-0.03	11%	17 Sept →
train	13–3	-0.06	26%	15 Sept →
nuke	13–11	0.06	20%	15 Sept →
shelter	13–9	-0.05	21%	13 Sept →
nuke	13–6	0.01	23%	13 Sept →
inferno	4–0	-0.00	50%	13 Sept →
dust2	13–9	-0.05	24%	13 Sept →
inferno	13–10	-0.05	25%	13 Sept →
nuke	10–13	0.03	22%	13 Sept →
inferno	16–13	-0.01	17%	13 Sept →
cache	16–14	-0.06	13%	12 Sept →
nuke	13–9	-0.00	29%	12 Sept →
ancient	6–13	-0.04	17%	12 Sept →
anubis	12–16	0.02	13%	12 Sept →
nuke	13–8	-0.01	17%	10 Sept →
boulder	13–5	-0.01	19%	10 Sept →
inferno	13–10	-0.01	9%	10 Sept →
cache	4–13	0.01	19%	10 Sept →
inferno	11–13	-0.02	28%	10 Sept →
office	9–13	-0.05	25%	8 Sept →
nuke	13–6	0.04	16%	8 Sept →
anubis	13–5	0.07	27%	8 Sept →
cache	13–8	0.08	16%	8 Sept →
anubis	6–13	-0.04	16%	7 Sept →
nuke	13–10	-0.04	24%	7 Sept →
cache	7–13	-0.08	17%	7 Sept →
dust2	13–10	-0.02	26%	7 Sept →
anubis	13–6	0.04	10%	6 Sept →
cache	9–13	-0.07	25%	6 Sept →
nuke	13–3	-0.07	0%	6 Sept →
nuke	13–1	0.02	13%	5 Sept →
cache	11–13	-0.00	8%	5 Sept →
inferno	13–5	0.00	22%	5 Sept →
cache	13–11	0.00	10%	5 Sept →
anubis	4–13	-0.04	21%	4 Sept →
inferno	5–13	0.02	27%	4 Sept →
ancient	13–9	-0.02	10%	4 Sept →
office	8–13	0.05	25%	4 Sept →
nuke	13–8	-0.03	7%	4 Sept →
dust2	5–13	-0.06	19%	2 Sept →
cache	6–13	-0.02	12%	2 Sept →
inferno	12–12	0.03	14%	2 Sept →
inferno	8–13	-0.07	22%	2 Sept →
nuke	3–13	-0.06	5%	2 Sept →
anubis	13–6	-0.01	11%	2 Sept →
inferno	5–13	-0.00	14%	31 Aug →
nuke	13–8	-0.00	14%	31 Aug →
ancient	11–13	-0.01	5%	31 Aug →
dust2	6–13	0.01	14%	31 Aug →
nuke	1–13	-0.15	11%	31 Aug →
nuke	13–10	-0.05	16%	30 Aug →
train	0–13	-0.08	26%	30 Aug →
boulder	13–8	-0.02	13%	30 Aug →
anubis	11–13	-0.02	16%	22 Aug →
dust2	13–11	0.00	6%	22 Aug →
cache	13–8	-0.05	18%	22 Aug →
nuke	13–3	-0.03	18%	22 Aug →
inferno	13–9	0.01	22%	18 Aug →
nuke	13–6	-0.04	33%	18 Aug →
nuke	8–13	0.00	11%	18 Aug →
train	6–0	-0.10	0%	18 Aug →
eldorado	7–9	0.02	9%	16 Aug →
poseidon	9–7	-0.12	16%	16 Aug →
debris	5–9	-0.03	16%	16 Aug →
boulder	13–8	0.01	21%	14 Aug →
shelter	13–7	0.05	14%	14 Aug →
italy	4–13	-0.02	0%	13 Aug →