dz1

dz1 — CS2 Stats

US76561197999193199[U:1:38927471]Steam profile ↗✓ No bans

4,548Tracked matches47%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating16,939Purple band · top ~20.7% of ranked players (population est.)
FaceitLevel 5 · 1,306 ELOTop 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 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: 16,939 -2,674 18 Sept – 6 Nov · 37 days played
16,44220,124peak 20,12418 Sept6 Nov
Faceit ELO: 1,306 +0 18 Sept – 26 Sept · 2 observations
1,3061,306peak 1,30618 Sept26 Sept
20,191Peak Premier in tracked matches
1,306Highest Faceit ELO seen on CSDB
37Days played since 2026-09-18

Faceit ELO

  • At peak — 1,306
  • Next: Level 7 at 1,351 — 45 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-18
  • Level 5 first seen 2026-09-18

Premier CS Rating

  • 3,185 below peak (20,124)
  • -1,824 over 30 days · declining
  • Next: Pink band at 20,000 — 3,061 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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.

Share this profile

CSDB.GGdz1FACEITLevel 5 · 1,306 ELOSTANDINGTop 67.6% of rankedPREMIER16,939 · Purple bandPEAK ELO1,306csdb.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

Aim67
Positioning51
Utility48

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateLWWLLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · +31ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 583ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 628ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 613ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim6.7
Utility4.8
Positioning5.1
Opening Duels2.0
Clutch3.2

Limited utility dependence

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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 53% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 604ms 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

Aim6.7
Positioning5.1
Utility4.8
Mechanics6.6
Opening Duels3.7
Win Impact3.9

Composite 5.5/10 (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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time605ms+22ms
first ⅓ avg 583ms → last ⅓ avg 605ms
Headshot accuracy16.4%−0.1%
first ⅓ avg 16.4% → last ⅓ avg 16.4%

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

0.07Best match rating · 13–4 · anubis, 2 Nov →
50%Best headshot accuracy · 13–10 · ancient, 11 Oct →
422msFastest reaction time · 13–10 · ancient, 11 Oct →
13–3Biggest win · dust2, 22 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%-0.03
anubisB178–947%-0.02
infernoC145–936%-0.02
cacheB137–654%-0.01
ancientC125–742%-0.03
dust2B115–645%-0.02
nukeS97–278%-0.03
vertigo—10–10%-0.05
office—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

882Matches
51%Win rate
0.97Avg K/D
70.5ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5357%0.8512.6
Ancient3148%0.7411.8
Inferno1650%0.7813.7
Anubis1644%0.8412.4
Nuke1225%0.8514.6
Cache850%0.9818.3
Dust2425%0.8415.5
Train10%0.8012.0

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.

17.3%Headshot accuracy
34.0%Accuracy (enemy spotted)
32.9%Spray accuracy
79.9%Counter-strafing
8.4°Preaim
604msReaction time
53.4%T opening success
35.9%CT opening success
0.65Enemies flashed / flash
4.1%Flash assists
8.41HE damage / grenade
4.49Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.9144% — below the 40% mark we flag

Spend your practice time on Inferno

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.069%6 Nov →
mirage13–40.0015%6 Nov →
cache13–80.0015%6 Nov →
mirage2–13-0.0719%5 Nov →
ancient11–130.0032%5 Nov →
mirage13–7-0.0317%5 Nov →
inferno6–13-0.0615%5 Nov →
inferno9–13-0.0811%4 Nov →
cache7–13-0.0422%4 Nov →
anubis11–130.0016%4 Nov →
dust213–60.0420%4 Nov →
mirage12–16-0.0619%2 Nov →
ancient13–10-0.0523%2 Nov →
ancient7–130.0218%2 Nov →
anubis13–40.0713%2 Nov →
inferno13–9-0.0312%2 Nov →
nuke13–4-0.0217%1 Nov →
anubis2–13-0.083%31 Oct →
inferno13–11-0.0524%31 Oct →
mirage4–13-0.0216%31 Oct →
nuke5–13-0.0521%30 Oct →
mirage13–80.0217%30 Oct →
cache13–4-0.0331%29 Oct →
anubis7–13-0.0524%29 Oct →
anubis10–13-0.1027%29 Oct →
mirage5–6-0.0217%29 Oct →
mirage13–9-0.056%29 Oct →
inferno8–13-0.0413%28 Oct →
nuke13–40.0511%28 Oct →
dust213–5-0.018%28 Oct →
cache13–60.046%26 Oct →
mirage13–6-0.057%24 Oct →
mirage2–13-0.0315%23 Oct →
inferno10–130.0117%23 Oct →
ancient3–13-0.0413%23 Oct →
cache3–13-0.0314%22 Oct →
dust213–3-0.0120%22 Oct →
cache13–16-0.0517%21 Oct →
dust214–16-0.0314%21 Oct →
anubis13–90.0417%21 Oct →
dust213–9-0.0920%19 Oct →
anubis13–7-0.0722%19 Oct →
ancient13–11-0.0417%19 Oct →
anubis13–50.0112%18 Oct →
ancient7–13-0.0819%18 Oct →
ancient10–13-0.0427%18 Oct →
dust215–150.0329%18 Oct →
dust214–16-0.0118%17 Oct →
ancient7–13-0.0317%16 Oct →
mirage13–11-0.0011%16 Oct →
anubis13–5-0.066%15 Oct →
mirage13–60.0322%15 Oct →
anubis9–13-0.028%15 Oct →
inferno8–130.0414%14 Oct →
anubis3–130.0112%12 Oct →
ancient13–10-0.0650%11 Oct →
dust24–130.0013%10 Oct →
mirage10–13-0.0716%5 Oct →
dust24–13-0.0211%5 Oct →
cache10–130.0219%5 Oct →
anubis6–13-0.099%4 Oct →
nuke13–5-0.0716%4 Oct →
ancient8–13-0.0326%3 Oct →
cache13–90.0421%2 Oct →
ancient13–10-0.0318%2 Oct →
mirage13–110.0211%2 Oct →
inferno10–130.0323%2 Oct →
anubis13–110.0724%2 Oct →
cache13–11-0.1044%1 Oct →
mirage7–13-0.0314%1 Oct →
cache11–130.0517%1 Oct →
cache13–4-0.0719%30 Sept →
inferno13–16-0.0515%30 Sept →
inferno13–9-0.0015%30 Sept →
cache9–13-0.0128%30 Sept →
nuke13–8-0.014%29 Sept →
inferno13–50.0713%29 Sept →
inferno9–13-0.0411%29 Sept →
nuke4–13-0.0715%29 Sept →
mirage6–13-0.0311%29 Sept →
mirage13–9-0.047%28 Sept →
vertigo8–13-0.0514%28 Sept →
nuke13–60.0119%27 Sept →
mirage13–10-0.0214%27 Sept →
nuke13–9-0.038%27 Sept →
ancient13–70.0114%27 Sept →
inferno16–130.0315%27 Sept →
anubis13–40.0512%27 Sept →
office7–130.0319%26 Sept →
mirage1–13-0.0420%26 Sept →
inferno9–13-0.0417%26 Sept →
anubis13–90.0127%26 Sept →
mirage11–13-0.0817%25 Sept →
cache13–10-0.0124%25 Sept →
dust213–60.0216%25 Sept →
anubis7–13-0.0110%24 Sept →
anubis14–16-0.0812%22 Sept →
mirage9–130.0021%22 Sept →
nuke13–11-0.0613%22 Sept →
dust20–13-0.1214%21 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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