dNz

dNz — CS2 Stats

76561198012500752[U:1:52235024]Steam profile ↗✓ No bans

702Tracked matches41%Win rate2021Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating15,437Purple band · top ~26.7% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (2 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: 15,437 +2,349 29 Aug – 29 Oct · 35 days played
13,08817,789peak 17,78929 Aug29 Oct
17,987Peak Premier in tracked matches
36Days played since 2026-08-29

Premier CS Rating

  • 2,352 below peak (17,789)
  • -239 over 30 days · steady
  • Next: Pink band at 20,000 — 4,563 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-04
  • Blue band first seen 2026-10-04

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

Share this profile

CSDB.GGdNzFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,437 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning53
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWWLLLLWWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +6.3pp headshot accuracy · +36ms reaction

Win rate 0pp 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 18%
  • Avg reaction 605ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 589ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 571ms

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 (+2.5 against its own average).

Aim6.9
Utility7.2
Positioning5.3
Opening Duels1.7

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

iM

Plays most like iM 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 553ms 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

Aim6.9
Positioning5.3
Utility7.2
Mechanics6.6
Opening Duels2.8
Win Impact2.1

Composite 5.7/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time556ms+24ms
first ⅓ avg 531ms → last ⅓ avg 556ms
Headshot accuracy15.2%+0.8%
first ⅓ avg 14.3% → last ⅓ avg 15.2%

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

0.16Best match rating · 10–2 · inferno, 29 Oct →
26%Best headshot accuracy · 13–4 · inferno, 1 Sept →
391msFastest reaction time · 6–9 · vertigo, 7 Sept →
13–4Biggest win · nuke, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
11–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 69% over 13ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2717–1063%0.02
nukeA2112–957%-0.01
anubisB1910–953%-0.01
cacheS139–469%-0.01
dust2D82–625%-0.01
ancientD71–614%-0.00
mirage—20–20%-0.04
vertigo—21–150%-0.12
poseidon—10–10%-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

64Matches
50%Win rate
1.08Avg K/D
—ADR
39%Headshot %

Clutches & streaks

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

Recent Faceit resultsWWWLW

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.

14.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.9%Spray accuracy
79.5%Counter-strafing
9.8°Preaim
553msReaction time
44.2%T opening success
38.6%CT opening success
0.63Enemies flashed / flash
5.3%Flash assists
12.29HE damage / grenade
8.56Flashes / 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 14.5212% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 38.6077% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0817%29 Oct →
inferno10–20.1624%29 Oct →
dust24–130.0124%29 Oct →
nuke8–13-0.1010%28 Oct →
mirage3–13-0.0715%27 Oct →
dust27–130.0425%27 Oct →
inferno13–9-0.0113%27 Oct →
inferno13–110.0413%25 Oct →
dust213–6-0.0518%25 Oct →
dust27–13-0.0324%25 Oct →
inferno13–80.0111%13 Oct →
dust27–130.0510%11 Oct →
nuke13–6-0.0513%11 Oct →
mirage14–16-0.0114%9 Oct →
dust213–7-0.0211%9 Oct →
anubis8–13-0.027%9 Oct →
anubis13–8-0.0214%9 Oct →
nuke11–13-0.0318%8 Oct →
inferno15–150.005%5 Oct →
inferno13–100.0017%5 Oct →
inferno13–5-0.0222%5 Oct →
ancient11–130.0218%4 Oct →
nuke11–13-0.0718%24 Sept →
ancient10–13-0.0312%24 Sept →
dust21–13-0.065%24 Sept →
anubis5–13-0.0815%23 Sept →
dust27–13-0.0216%23 Sept →
nuke13–50.0313%23 Sept →
anubis8–13-0.039%22 Sept →
inferno7–13-0.0314%22 Sept →
nuke7–130.0623%21 Sept →
cache13–110.0320%21 Sept →
inferno16–120.0615%21 Sept →
nuke13–40.027%21 Sept →
cache6–13-0.0118%20 Sept →
nuke14–160.017%20 Sept →
inferno16–130.0620%20 Sept →
nuke8–130.0320%20 Sept →
nuke13–40.026%20 Sept →
anubis13–100.0315%19 Sept →
cache13–9-0.0118%19 Sept →
ancient4–13-0.0111%18 Sept →
inferno13–100.0418%18 Sept →
inferno13–11-0.0124%18 Sept →
cache13–11-0.0218%17 Sept →
inferno13–16-0.0320%17 Sept →
anubis13–5-0.0112%16 Sept →
anubis13–11-0.0017%16 Sept →
vertigo9–7-0.079%15 Sept →
nuke4–9-0.224%15 Sept →
poseidon3–9-0.1220%15 Sept →
inferno4–13-0.0317%15 Sept →
cache13–10-0.0416%15 Sept →
nuke13–110.0117%14 Sept →
anubis10–130.0210%14 Sept →
anubis13–90.027%13 Sept →
anubis3–13-0.083%13 Sept →
inferno5–13-0.0217%13 Sept →
cache13–100.0016%12 Sept →
nuke1–13-0.0610%11 Sept →
cache11–13-0.0413%11 Sept →
inferno5–130.0918%11 Sept →
inferno7–13-0.0114%11 Sept →
cache6–13-0.079%11 Sept →
anubis13–60.0012%11 Sept →
nuke13–10-0.0520%11 Sept →
anubis13–7-0.0218%11 Sept →
inferno13–110.019%10 Sept →
inferno5–13-0.0611%10 Sept →
inferno11–130.0614%9 Sept →
nuke13–100.0417%9 Sept →
cache13–60.0314%9 Sept →
ancient14–16-0.0012%8 Sept →
inferno13–40.0323%8 Sept →
nuke13–9-0.089%8 Sept →
vertigo6–9-0.177%7 Sept →
nuke13–100.0421%6 Sept →
anubis7–130.0012%5 Sept →
cache13–50.0419%5 Sept →
cache7–13-0.0713%5 Sept →
inferno13–9-0.0115%5 Sept →
inferno6–13-0.0325%4 Sept →
nuke11–13-0.0210%4 Sept →
ancient5–130.0116%4 Sept →
anubis13–10-0.057%4 Sept →
nuke13–5-0.0210%3 Sept →
anubis15–15-0.0113%3 Sept →
inferno13–40.0916%3 Sept →
anubis13–11-0.0116%1 Sept →
inferno13–100.067%1 Sept →
inferno13–40.0226%1 Sept →
anubis13–9-0.0519%31 Aug →
ancient13–11-0.0112%31 Aug →
anubis8–130.0110%30 Aug →
nuke13–110.0625%30 Aug →
cache13–80.058%30 Aug →
ancient6–13-0.0116%29 Aug →
cache13–70.0111%29 Aug →
anubis15–150.0311%29 Aug →
inferno13–4-0.0116%29 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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