faunZ

faunZ — CS2 Stats

AT76561197963229535[U:1:2963807]Steam profile ↗✓ No bans

1,076Tracked matches52%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,076 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,877 -3,734 7 Feb – 5 Jul · 25 days played
18,44025,000peak 25,0007 Feb5 Jul
Faceit ELO: 2,016 +0 30 Aug – 17 Sept · 4 observations
2,0162,016peak 2,01630 Aug17 Sept
25,106Peak Premier in tracked matches
2,016Highest Faceit ELO seen on CSDB
32Days played since 2026-02-07

Faceit ELO

  • At peak — 2,016
  • Next: 2,500 ELO at 2,500 — 484 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

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.GGfaunZPEAK ELO2,016csdb.gg/stats

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Performance scores

Aim64
Positioning48
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLWLLWWWLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.8pp headshot accuracy · −16ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 606ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 602ms

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 (+2.1 against its own average).

Aim6.4
Utility6.6
Positioning4.8
Opening Duels2.8
Clutch3.8

Effective flashes

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 620ms 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

Aim6.4
Positioning4.8
Utility6.6
Mechanics7.5
Opening Duels2.0
Win Impact5.6

Composite 5.8/10 (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 -0.01 → last ⅓ avg -0.02
Reaction time620ms+24ms
first ⅓ avg 597ms → last ⅓ avg 620ms
Headshot accuracy15.6%+0.4%
first ⅓ avg 15.2% → last ⅓ avg 15.6%

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

0.09Best match rating · 13–7 · cache, 14 May →
33%Best headshot accuracy · 13–11 · dust2, 9 Feb →
469msFastest reaction time · 12–16 · nuke, 18 Aug →
13–1Biggest win · inferno, 28 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 50% over 20ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.01
nukeB2010–1050%-0.00
infernoB189–950%-0.02
mirageD184–1422%-0.01
overpassD72–529%-0.02
ancientD61–517%-0.03
cache—44–0100%0.02
anubis—41–325%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,670Matches
51%Win rate
0.98Avg K/D
80.0ADR
34%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust24961%1.1115.1
Inferno4573%1.2115.6
Mirage3949%1.0315.6
Nuke2871%1.0614.4
Anubis1429%0.8414.8
Train1457%0.9115.0
Overpass933%0.8414.4
Ancient862%0.9815.5

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.

16.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.2%Spray accuracy
83.8%Counter-strafing
10.7°Preaim
620msReaction time
34.2%T opening success
42.2%CT opening success
0.71Enemies flashed / flash
7.7%Flash assists
10.78HE damage / grenade
9.49Flashes / 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

    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 34.1833% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0124%28 Aug →
inferno13–1-0.0321%28 Aug →
dust22–13-0.0924%28 Aug →
nuke12–16-0.0313%18 Aug →
cache13–60.0112%18 Aug →
nuke13–70.038%9 Jul →
dust213–5-0.0210%9 Jul →
inferno11–13-0.0221%9 Jul →
cache13–10-0.0512%9 Jul →
nuke13–5-0.0015%9 Jul →
cache13–40.0014%9 Jul →
nuke13–40.0515%6 Jul →
dust213–50.0217%6 Jul →
overpass8–13-0.037%5 Jul →
inferno2–13-0.047%5 Jul →
inferno13–6-0.0124%3 Jul →
nuke13–40.0014%3 Jul →
nuke9–130.0113%3 Jul →
inferno4–13-0.0620%3 Jul →
dust210–13-0.0510%3 Jul →
inferno13–60.0217%30 Jun →
mirage11–130.0018%30 Jun →
dust215–15-0.0226%30 Jun →
nuke13–3-0.0613%30 Jun →
mirage4–13-0.0829%23 Jun →
dust211–13-0.0226%23 Jun →
inferno12–16-0.033%23 Jun →
overpass13–7-0.0511%21 Jun →
inferno7–13-0.0124%21 Jun →
mirage2–00.0611%21 Jun →
dust213–80.0310%21 Jun →
inferno13–5-0.0318%21 Jun →
mirage14–16-0.0310%21 Jun →
dust213–90.0122%21 Jun →
dust213–7-0.0020%20 Jun →
dust29–13-0.0415%23 May →
nuke13–11-0.0119%16 May →
ancient3–13-0.0212%16 May →
nuke13–160.0119%14 May →
cache13–70.0914%14 May →
dust29–13-0.0030%26 Apr →
nuke9–13-0.0513%7 Mar →
nuke8–13-0.058%27 Feb →
mirage11–130.0311%26 Feb →
nuke10–13-0.0014%26 Feb →
mirage5–13-0.0111%25 Feb →
dust213–16-0.0121%25 Feb →
ancient11–13-0.036%25 Feb →
mirage0–13-0.0822%24 Feb →
inferno13–11-0.0412%24 Feb →
overpass15–150.0114%22 Feb →
mirage13–10-0.036%22 Feb →
inferno16–120.029%22 Feb →
ancient5–13-0.0211%22 Feb →
nuke13–60.0119%22 Feb →
mirage10–130.0816%22 Feb →
dust216–14-0.0114%22 Feb →
nuke9–130.0216%21 Feb →
dust27–13-0.0312%21 Feb →
inferno10–130.0121%19 Feb →
anubis16–140.0415%19 Feb →
mirage6–130.0119%19 Feb →
dust211–13-0.0412%18 Feb →
nuke13–90.0514%18 Feb →
inferno13–90.0311%18 Feb →
dust213–90.0415%18 Feb →
anubis11–130.0021%17 Feb →
mirage6–13-0.0422%17 Feb →
overpass15–15-0.048%16 Feb →
dust213–50.0419%16 Feb →
ancient9–13-0.0314%16 Feb →
inferno9–13-0.038%16 Feb →
mirage2–13-0.0612%16 Feb →
anubis6–13-0.0317%15 Feb →
nuke7–13-0.067%12 Feb →
mirage15–15-0.0017%12 Feb →
dust27–130.0419%12 Feb →
ancient3–13-0.068%12 Feb →
nuke8–130.029%12 Feb →
mirage2–13-0.0116%11 Feb →
dust28–13-0.0517%11 Feb →
inferno14–160.0318%11 Feb →
dust25–13-0.0317%10 Feb →
inferno13–7-0.016%10 Feb →
overpass13–90.0515%9 Feb →
mirage13–110.0420%9 Feb →
dust213–30.0118%9 Feb →
inferno13–6-0.0111%9 Feb →
mirage5–130.0210%9 Feb →
nuke13–100.0017%9 Feb →
dust213–11-0.0033%9 Feb →
dust29–13-0.0016%8 Feb →
mirage13–50.0012%8 Feb →
overpass10–13-0.0724%8 Feb →
inferno5–13-0.0711%8 Feb →
nuke13–100.0121%8 Feb →
mirage9–13-0.0014%7 Feb →
overpass6–130.0122%7 Feb →
ancient16–14-0.0311%7 Feb →
anubis10–13-0.0615%7 Feb →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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