d1zzy

d1zzy — CS2 Stats

PH76561198144653008[U:1:184387280]Steam profile ↗✓ No bans

560Tracked matches47%Win rate2020Tracked since
1,800Hours in CS1Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating19,708Top 50% of 215,386 CSDB-tracked playersPurple band · top ~9.7% of ranked players (population est.)
CSDB Leaderboard#91129 of 261546 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (28 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: 19,708 +4,095 16 Aug – 17 Oct · 23 days played
15,61320,595peak 20,59516 Aug17 Oct
20,701Peak Premier in tracked matches
37Days played since 2026-08-02

Premier CS Rating

  • 887 below peak (20,595)
  • -887 over 30 days · declining
  • Next: Pink band at 20,000 — 292 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-02

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate49.2%44.4%46.9%above
Shot accuracy11.9%11.9%13.0%1.0% short
Kill/death ratio1.161.031.08above
Match win rate45.2%45.2%46.7%1.5% short

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

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

Share this profile

CSDB.GGd1zzyPREMIER19,708 · Purple bandcsdb.gg/stats

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

Aim63
Positioning46
Utility50

0–100 skill scores via Leetify.

Recent form

HOT56–43–1Last 10056%Win rateWLWWWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −0.6pp headshot accuracy · +21ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 708ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 590ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 579ms

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).

Aim6.3
Utility5.0
Positioning4.6
Opening Duels1.1

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

b1t

Plays most like b1t 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 591ms 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

Aim6.3
Positioning4.6
Utility5.0
Mechanics4.8
Opening Duels2.9
Win Impact3.9

Composite 5.0/10 (Developing), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time572ms+3ms
first ⅓ avg 569ms → last ⅓ avg 572ms
Headshot accuracy17.5%−2.8%
first ⅓ avg 20.2% → last ⅓ avg 17.5%

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

0.14Best match rating · 9–1 · inferno, 18 Oct →
64%Best headshot accuracy · 9–1 · inferno, 18 Oct →
297msFastest reaction time · 1–9 · anubis, 18 Sept →
13–1Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.01
infernoS2315–865%0.03
dust2C219–1243%-0.01
ancientA149–564%0.00
cacheS64–267%-0.02
anubisD60–60%-0.03
nuke—44–0100%-0.01
train—11–0100%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,814Lifetime kills
1.16K/D · Top 25% of Purple band
2,420Matches
45.2%Match win rate
49.2%Headshot % · Top 50% of Purple band
11.9%Shot accuracy · Top 50% of Purple band
6,007MVPs
979Hours (in match)
2,564Bombs planted
824Bombs defused

Most-used weapons

Lifetime map wins

7,531inferno
2,475dust2
736nuke
685vertigo
256train
25cbble
16safehouse
13lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.7%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.6%Spray accuracy
71.7%Counter-strafing
10.4°Preaim
591msReaction time
39.8%T opening success
43.4%CT opening success
0.50Enemies flashed / flash
4.8%Flash assists
9.19HE damage / grenade
7.17Flashes / 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 14.7356% — 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 39.8149% — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–20.0919%30 Oct →
dust26–13-0.0118%30 Oct →
cache13–30.0313%26 Oct →
mirage13–60.0218%24 Oct →
inferno9–20.0722%24 Oct →
inferno7–9-0.0121%24 Oct →
inferno9–20.1125%24 Oct →
inferno9–40.0511%24 Oct →
inferno9–60.0848%24 Oct →
dust26–13-0.058%24 Oct →
cache8–130.0010%21 Oct →
ancient13–40.0218%21 Oct →
inferno5–9-0.0229%20 Oct →
inferno4–9-0.0619%18 Oct →
inferno9–6-0.0310%18 Oct →
inferno9–10.1464%18 Oct →
inferno9–30.1426%18 Oct →
cache13–9-0.056%17 Oct →
ancient16–13-0.0413%17 Oct →
inferno13–16-0.0215%17 Oct →
anubis6–13-0.057%17 Oct →
mirage6–13-0.0617%17 Oct →
inferno4–13-0.045%11 Oct →
mirage13–80.0517%11 Oct →
dust27–13-0.0010%11 Oct →
mirage13–7-0.0223%11 Oct →
cache13–7-0.0715%10 Oct →
train13–70.068%7 Oct →
inferno8–13-0.038%4 Oct →
mirage16–130.0117%4 Oct →
ancient13–60.0523%3 Oct →
mirage2–12-0.007%3 Oct →
mirage0–8-0.068%1 Oct →
anubis6–130.0223%19 Sept →
mirage13–110.0625%18 Sept →
anubis1–9-0.0430%18 Sept →
ancient7–130.0926%17 Sept →
cache7–13-0.0411%17 Sept →
mirage13–110.0713%13 Sept →
ancient0–6-0.039%13 Sept →
ancient13–7-0.0518%13 Sept →
dust25–13-0.0824%13 Sept →
mirage9–13-0.0514%10 Sept →
dust213–10-0.0011%10 Sept →
mirage13–2-0.0212%7 Sept →
inferno13–50.0921%7 Sept →
cache13–110.0118%7 Sept →
ancient13–20.019%7 Sept →
mirage12–16-0.0015%7 Sept →
mirage5–130.0217%7 Sept →
dust28–130.0116%7 Sept →
inferno13–40.0828%7 Sept →
dust213–100.0815%6 Sept →
dust211–13-0.0212%6 Sept →
dust213–11-0.055%6 Sept →
inferno13–80.0716%6 Sept →
dust27–10.0463%6 Sept →
nuke13–11-0.0425%5 Sept →
ancient13–10-0.1020%5 Sept →
ancient13–90.0822%5 Sept →
mirage9–13-0.0420%4 Sept →
ancient8–13-0.0512%4 Sept →
dust215–15-0.0510%4 Sept →
nuke13–1-0.0418%4 Sept →
mirage5–130.0518%4 Sept →
inferno13–110.0615%4 Sept →
dust213–5-0.0613%4 Sept →
anubis7–13-0.1112%3 Sept →
nuke13–90.0423%3 Sept →
mirage13–10-0.0111%30 Aug →
mirage13–1-0.035%30 Aug →
inferno13–5-0.0017%30 Aug →
dust213–90.0417%30 Aug →
mirage13–90.0210%30 Aug →
dust23–13-0.0935%30 Aug →
dust213–110.0335%28 Aug →
mirage13–100.0319%28 Aug →
mirage9–130.0514%27 Aug →
mirage9–130.0220%25 Aug →
anubis12–160.0427%22 Aug →
dust23–13-0.0421%22 Aug →
ancient13–100.0215%22 Aug →
ancient13–16-0.0219%20 Aug →
inferno13–6-0.0020%18 Aug →
dust213–70.0316%16 Aug →
mirage11–130.0315%16 Aug →
mirage13–40.0517%15 Aug →
nuke13–60.0012%14 Aug →
ancient16–130.0215%13 Aug →
inferno10–130.0420%13 Aug →
mirage13–4-0.0518%12 Aug →
ancient9–130.0334%12 Aug →
inferno13–3-0.0132%12 Aug →
dust27–13-0.0321%12 Aug →
dust210–13-0.0830%12 Aug →
dust214–160.0222%12 Aug →
mirage13–20.0831%12 Aug →
inferno13–100.0522%9 Aug →
inferno14–16-0.0422%9 Aug →
anubis6–13-0.0321%2 Aug →

Match data via Leetify.

Milestones

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

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.