DGGA!! #RDMZ

DGGA!! #RDMZ — CS2 Stats

76561197973083048[U:1:12817320]Steam profile ↗✓ No bans

422Tracked matches50%Win rate2020Tracked since
3,652Hours in CS4Hrs last 2 wks
CSDB Rating6.5 SolidSupport
Premier CS Rating22,420Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#51752 of 261506 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 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: 22,420 +252 30 Dec – 9 Nov · 25 days played
18,35423,949peak 23,94930 Dec9 Nov
23,949Peak Premier in tracked matches
41Days played since 2025-12-30

Premier CS Rating

  • 1,529 below peak (23,949)
  • Next: Red band at 25,000 — 2,580 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-14
  • Purple band first seen 2026-09-14

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate36.2%46.9%49.3%13.1% short
Shot accuracy17.7%13.0%13.4%above
Kill/death ratio1.321.081.12above
Match win rate48.2%46.7%48.5%meets

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGDGGA!! #RDMZPREMIER22,420 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning52
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLWLLLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +2.4pp headshot accuracy · −20ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 583ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 576ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 586ms

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 (+1.6 against its own average).

Aim7.6
Utility6.8
Positioning5.2
Opening Duels3.7

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim7.6
Positioning5.2
Utility6.8
Mechanics7.6
Opening Duels3.6
Win Impact5.0

Composite 6.5/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time590ms−56ms
first ⅓ avg 646ms → last ⅓ avg 590ms
Headshot accuracy13.8%−0.9%
first ⅓ avg 14.8% → last ⅓ avg 13.8%

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

0.18Best match rating · 13–5 · inferno, 24 Jun →
27%Best headshot accuracy · 13–4 · cache, 29 Aug →
422msFastest reaction time · 13–3 · nuke, 27 Aug →
13–2Biggest win · inferno, 11 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 58% over 12cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2816–1257%0.03
nukeC2611–1542%0.03
anubisA127–558%0.03
cacheC114–736%0.03
ancientC73–443%0.01
overpass—44–0100%0.06
dust2—31–233%-0.02
mirage—30–30%0.01
train—31–233%0.04
fachwerk—21–150%0.10
boulder—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

113,484Lifetime kills
1.32K/D · Top 25% of Pink band
4,741Matches
48.2%Match win rate · Top 50% of Pink band
36.2%Headshot %
17.7%Shot accuracy · Top 25% of Pink band
14,175MVPs
2,168Hours (in match)
4,196Bombs planted
1,932Bombs defused

Most-used weapons

AK-4733,779
AWP8,011
P2504,114
Tec-93,093
UMP-452,452
HE Grenade2,213

Lifetime map wins

14,412inferno
10,203nuke
1,675train
1,671cbble
1,166dust2
618vertigo
264aztec
138lake

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

Faceit stats

Combat

23Matches
61%Win rate
1.25Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

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.

14.2%Headshot accuracy
38.2%Accuracy (enemy spotted)
39.5%Spray accuracy
84.1%Counter-strafing
9.0°Preaim
589msReaction time
32.2%T opening success
56.7%CT opening success
0.60Enemies flashed / flash
4.0%Flash assists
13.59HE damage / grenade
16.39Flashes / 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.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1996% — below the 15% mark we flag

    Aim Training →
  2. 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 32.2221% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis1–13-0.0614%9 Nov →
dust211–6-0.0117%9 Nov →
mirage6–130.0014%9 Nov →
dust211–13-0.0110%2 Nov →
cache9–130.1111%2 Nov →
cache8–13-0.0118%25 Sept →
anubis13–100.0917%29 Aug →
inferno13–90.0420%29 Aug →
cache13–40.0427%29 Aug →
nuke13–30.0410%27 Aug →
anubis5–130.0212%27 Aug →
boulder6–13-0.056%24 Aug →
fachwerk13–30.1510%24 Aug →
nuke13–70.0620%9 Aug →
anubis13–80.0111%9 Aug →
inferno11–13-0.0314%9 Aug →
fachwerk10–130.0611%28 Jul →
cache2–130.0222%28 Jul →
nuke13–110.0315%28 Jul →
cache11–130.0113%24 Jul →
inferno16–140.0421%24 Jul →
cache11–130.0510%24 Jul →
inferno13–110.0220%20 Jul →
inferno7–13-0.027%20 Jul →
cache13–8-0.032%20 Jul →
inferno13–50.0522%16 Jul →
inferno2–13-0.1011%16 Jul →
nuke13–40.0720%16 Jul →
cache13–40.0916%10 Jul →
nuke8–130.046%10 Jul →
cache10–13-0.046%8 Jul →
cache13–100.0412%8 Jul →
anubis13–80.0611%6 Jul →
overpass13–70.069%6 Jul →
inferno13–11-0.0118%2 Jul →
ancient13–40.1114%2 Jul →
cache8–130.0115%29 Jun →
ancient6–13-0.0210%29 Jun →
nuke13–70.1515%29 Jun →
nuke13–110.0212%24 Jun →
inferno13–50.1820%24 Jun →
anubis13–80.0318%24 Jun →
nuke13–160.039%16 Jun →
inferno13–70.0622%16 Jun →
dust210–13-0.0414%16 Jun →
nuke12–16-0.018%15 Jun →
inferno12–160.057%15 Jun →
nuke13–60.1319%8 Jun →
inferno13–100.1115%8 Jun →
nuke14–160.0411%1 Jun →
ancient13–60.0714%1 Jun →
anubis2–130.066%1 Jun →
nuke11–130.0113%27 May →
inferno13–30.039%27 May →
anubis8–13-0.0010%18 May →
inferno8–130.009%18 May →
nuke13–160.038%13 May →
inferno13–110.0511%11 May →
inferno13–20.0318%11 May →
nuke11–130.0315%27 Apr →
nuke9–13-0.039%13 Apr →
ancient8–13-0.067%13 Apr →
inferno8–130.018%13 Apr →
overpass16–130.0520%23 Mar →
overpass13–40.0517%23 Mar →
inferno10–130.0617%23 Mar →
anubis13–80.0418%21 Mar →
inferno11–13-0.018%21 Mar →
inferno7–130.0217%17 Mar →
ancient6–13-0.0020%17 Mar →
overpass13–60.0723%17 Mar →
ancient13–90.028%9 Mar →
anubis16–13-0.0113%9 Mar →
nuke13–11-0.0110%9 Mar →
inferno14–160.0713%4 Mar →
anubis13–80.0314%4 Mar →
anubis8–130.0413%24 Feb →
inferno13–110.0623%24 Feb →
inferno7–13-0.0123%10 Feb →
nuke13–30.0217%10 Feb →
nuke9–130.0616%10 Feb →
ancient6–13-0.019%2 Feb →
mirage9–130.0412%2 Feb →
nuke13–60.0416%29 Jan →
nuke5–13-0.0116%29 Jan →
inferno13–30.0418%29 Jan →
inferno10–13-0.0313%27 Jan →
inferno16–130.0318%27 Jan →
inferno16–140.0510%27 Jan →
inferno16–130.049%19 Jan →
mirage2–13-0.0114%19 Jan →
nuke10–130.0910%19 Jan →
train16–140.0119%19 Jan →
train15–150.0712%12 Jan →
nuke13–5-0.0218%12 Jan →
nuke4–13-0.0213%12 Jan →
nuke8–130.0920%6 Jan →
nuke8–13-0.0115%6 Jan →
nuke2–130.0416%6 Jan →
train10–130.0412%30 Dec →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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