zrzns

zrzns — CS2 Stats

76561198067311495[U:1:107045767]Steam profile ↗✓ No bans

3,477Tracked matches38%Win rate2021Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating26,160Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#12283 of 259149 tracked
FaceitLevel 10 · 2,074 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (9 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: 26,160 +1,987 1 Sept – 23 Oct · 18 days played
23,14627,122peak 27,1221 Sept23 Oct
27,294Peak Premier in tracked matches
2,074Highest Faceit ELO seen on CSDB
29Days played since 2026-09-01

Faceit ELO

  • At peak — 2,074
  • Next: 2,500 ELO at 2,500 — 426 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 962 below peak (27,122)
  • +2,638 over 30 days · improving
  • Next: Gold band at 30,000 — 3,840 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGzrznsFACEITLevel 10 · 2,074 ELOSTANDINGTop 12.4% of rankedPREMIER26,160 · Red bandPEAK ELO2,074csdb.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

Aim68
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

COLD45–52–3Last 10045%Win rateLLWLLLLWLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · +24ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 525ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 516ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 504ms

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 (+1.4 against its own average).

Aim6.8
Utility5.4
Positioning5.6
Opening Duels2.2
Clutch3.6

Strong T-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

iM

Plays most like iM 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

CT openings. Opening success drops from 47% on T to 31% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning5.6
Utility5.4
Mechanics4.0
Opening Duels2.3
Win Impact1.0

Composite 5.1/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time527ms+14ms
first ⅓ avg 513ms → last ⅓ avg 527ms
Headshot accuracy13.7%−2.7%
first ⅓ avg 16.4% → last ⅓ avg 13.7%

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

0.17Best match rating · 10–1 · ancient, 22 Sept →
36%Best headshot accuracy · 13–1 · dust2, 16 Sept →
266msFastest reaction time · 2–0 · nuke, 28 Sept →
13–1Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
7–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 55% over 11mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
anubisC259–1636%0.00
ancientB189–950%0.02
infernoB158–753%-0.00
dust2A116–555%0.00
nukeB115–645%-0.01
mirageD103–730%-0.02
cacheB105–550%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,099Matches
51%Win rate
1.03Avg K/D
78.6ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis44354%1.0515.7
Ancient43150%1.0515.7
Inferno34854%1.0515.5
Nuke14952%0.9914.8
Mirage14540%0.9514.5
Dust212941%0.8913.7
Overpass8755%1.0515.6
Vertigo2339%0.9715.3

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.

13.6%Headshot accuracy
40.3%Accuracy (enemy spotted)
39.1%Spray accuracy
68.0%Counter-strafing
11.1°Preaim
517msReaction time
47.5%T opening success
30.8%CT opening success
0.45Enemies flashed / flash
3.5%Flash assists
7.07HE damage / grenade
8.97Flashes / 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 13.5701% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4522 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 30.8177% — below the 40% mark we flag

Spend your practice time on Mirage

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.068%23 Oct →
dust210–13-0.0215%23 Oct →
ancient13–90.0114%23 Oct →
mirage5–130.0013%23 Oct →
anubis10–130.009%22 Oct →
cache7–13-0.0220%22 Oct →
ancient9–13-0.0213%22 Oct →
inferno13–9-0.0111%22 Oct →
cache14–16-0.0213%22 Oct →
nuke13–30.0613%22 Oct →
anubis13–110.1013%22 Oct →
inferno13–8-0.0419%22 Oct →
ancient10–13-0.0115%22 Oct →
cache13–10-0.029%21 Oct →
inferno13–70.037%21 Oct →
inferno14–160.0111%21 Oct →
inferno13–20.0610%21 Oct →
ancient4–13-0.0617%21 Oct →
cache9–130.028%21 Oct →
nuke16–120.0115%20 Oct →
ancient10–130.0020%20 Oct →
nuke6–13-0.0614%20 Oct →
nuke5–130.0024%19 Oct →
inferno15–15-0.0221%19 Oct →
mirage4–130.0211%18 Oct →
anubis13–5-0.0314%16 Oct →
cache5–13-0.019%15 Oct →
anubis5–13-0.0210%15 Oct →
anubis13–60.0613%15 Oct →
anubis5–13-0.0315%15 Oct →
ancient13–100.0413%15 Oct →
ancient13–60.0120%15 Oct →
ancient8–20.0616%14 Oct →
anubis9–13-0.063%14 Oct →
ancient13–30.0316%14 Oct →
anubis6–13-0.0111%14 Oct →
nuke13–2-0.0125%14 Oct →
nuke9–130.0523%13 Oct →
cache8–13-0.005%13 Oct →
inferno4–9-0.1129%13 Oct →
nuke6–120.023%13 Oct →
anubis11–13-0.0319%12 Oct →
anubis10–130.089%12 Oct →
anubis12–120.0111%12 Oct →
inferno11–13-0.019%12 Oct →
anubis2–13-0.0420%8 Oct →
anubis6–13-0.0513%8 Oct →
anubis10–130.0412%8 Oct →
anubis13–30.0612%7 Oct →
ancient13–110.0212%6 Oct →
anubis13–60.0212%6 Oct →
nuke13–6-0.064%5 Oct →
anubis7–13-0.077%5 Oct →
inferno8–13-0.0426%5 Oct →
dust213–9-0.0324%1 Oct →
mirage2–13-0.0711%1 Oct →
cache13–11-0.0014%1 Oct →
dust213–100.0617%30 Sept →
anubis13–4-0.0119%30 Sept →
anubis13–11-0.0315%30 Sept →
cache13–4-0.0020%30 Sept →
anubis13–100.0116%30 Sept →
dust24–130.0315%30 Sept →
nuke6–13-0.0620%29 Sept →
mirage3–13-0.0411%29 Sept →
mirage13–4-0.0315%29 Sept →
mirage16–13-0.0418%28 Sept →
inferno13–6-0.0013%28 Sept →
nuke2–00.0133%28 Sept →
ancient13–90.1010%28 Sept →
dust213–110.0216%27 Sept →
dust213–90.0313%26 Sept →
anubis13–70.0311%25 Sept →
cache6–0-0.0733%25 Sept →
mirage13–10-0.0310%25 Sept →
nuke11–13-0.0616%25 Sept →
ancient14–160.0513%25 Sept →
cache13–70.0515%24 Sept →
mirage7–130.0418%24 Sept →
inferno13–70.0210%24 Sept →
inferno9–13-0.0313%24 Sept →
dust24–13-0.0221%24 Sept →
ancient13–160.0817%24 Sept →
dust213–11-0.0425%23 Sept →
inferno13–60.0013%23 Sept →
mirage6–13-0.0411%23 Sept →
dust211–130.0614%23 Sept →
ancient7–130.0218%23 Sept →
anubis10–130.0123%23 Sept →
mirage3–13-0.0516%22 Sept →
ancient10–10.1716%22 Sept →
anubis5–13-0.046%22 Sept →
anubis10–130.0215%22 Sept →
ancient10–13-0.0817%22 Sept →
inferno13–30.0111%21 Sept →
ancient13–6-0.0115%18 Sept →
anubis11–130.0116%18 Sept →
inferno12–120.069%17 Sept →
dust213–1-0.0236%16 Sept →
ancient7–13-0.0520%16 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches10-Win Streak
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.