ExisTenZ

ExisTenZ — CS2 Stats

76561198001602570[U:1:41336842]Steam profile ↗✓ No bans

4,796Tracked matches43%Win rate2020Tracked since
8,368Hours in CS6Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating10,042Blue band · top ~54.7% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

−1305Premier CS Rating · 11,347 → 10,042
+8Tracked matches · now 4,796
0.0ppWin rate · 43.3% → 43.3%

Rating over time

Premier CS Rating: 10,042 +963 26 Jul – 31 Oct · 21 days played
9,07911,708peak 11,70826 Jul31 Oct
12,360Peak Premier in tracked matches
25Days played since 2026-07-12

Premier CS Rating

  • 1,666 below peak (11,708)
  • +92 over 90 days
  • Next: Purple band at 15,000 — 4,958 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate43.8%42.0%44.4%meets
Shot accuracy13.9%9.6%11.9%above
Kill/death ratio0.900.981.030.13 short
Match win rate43.1%43.8%45.2%2.2% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGExisTenZPREMIER10,042 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning52
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateLLLWLWWLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +3.9pp headshot accuracy · −65ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 588ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 546ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 578ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim6.1
Utility5.8
Positioning5.2
Opening Duels3.0
Clutch6.0

Effective flashesLimited 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

ZywOo

Plays most like ZywOo 83% 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 583ms 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

Aim6.1
Positioning5.2
Utility5.8
Mechanics4.7
Opening Duels2.3
Win Impact2.8

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time580ms−78ms
first ⅓ avg 657ms → last ⅓ avg 580ms
Headshot accuracy18.4%+2.8%
first ⅓ avg 15.6% → last ⅓ avg 18.4%

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

0.21Best match rating · 13–5 · office, 14 Jul →
43%Best headshot accuracy · 5–0 · dust2, 4 Aug →
422msFastest reaction time · 13–4 · anubis, 7 Sept →
13–1Biggest win · inferno, 22 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
5–6In matches decided by ≤2 rounds
17Overtime games

Map breakdown

dust2Best map · 52% over 23mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%-0.03
dust2B2312–1152%-0.00
cacheC188–1044%-0.01
ancientD112–918%-0.02
anubisB84–450%-0.01
mirageD71–614%-0.02
nuke—42–250%-0.04
train—22–0100%0.02
fachwerk—10–10%0.05
office—11–0100%0.21
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,300Lifetime kills
0.90K/D
9,631Matches
43.1%Match win rate
43.8%Headshot % · Top 50% of Blue band
13.9%Shot accuracy · Top 50% of Blue band
22,137MVPs
4,237Hours (in match)
8,527Bombs planted
3,450Bombs defused

Most-used weapons

AK-4737,137
AWP32,738
P2505,241
MP93,381
MAC-103,323

Lifetime map wins

28,592inferno
13,377dust2
8,806nuke
2,929vertigo
2,722train
1,280office
667cbble
199italy

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

Faceit stats

Combat

275Matches
50%Win rate
0.92Avg K/D
67.8ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3250%1.1014.8
Inferno3155%1.1214.4
Dust22752%0.8713.5
Anubis2236%0.9115.1
Mirage2040%0.7211.6
Nuke743%0.7812.7
Overpass560%1.4315.0
Vertigo367%0.6512.3

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.

18.0%Headshot accuracy
32.0%Accuracy (enemy spotted)
29.9%Spray accuracy
71.1%Counter-strafing
7.7°Preaim
583msReaction time
33.9%T opening success
44.2%CT opening success
0.81Enemies flashed / flash
2.0%Flash assists
13.79HE damage / grenade
4.43Flashes / 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 33.9444% — 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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0317%31 Oct →
mirage4–13-0.0127%31 Oct →
anubis10–13-0.0114%31 Oct →
dust213–20.0225%31 Oct →
inferno4–13-0.0126%7 Sept →
ancient13–5-0.0421%7 Sept →
anubis13–40.0329%7 Sept →
inferno13–16-0.0131%30 Aug →
inferno13–8-0.028%30 Aug →
nuke5–13-0.1124%27 Aug →
dust213–7-0.018%27 Aug →
dust211–13-0.0422%27 Aug →
cache13–90.1032%27 Aug →
dust213–16-0.0320%27 Aug →
mirage5–130.0012%25 Aug →
ancient5–13-0.0318%25 Aug →
dust210–130.0016%25 Aug →
dust213–90.0124%24 Aug →
inferno12–160.0120%24 Aug →
dust213–9-0.049%24 Aug →
ancient8–13-0.055%24 Aug →
mirage4–13-0.0430%23 Aug →
cache13–70.0111%23 Aug →
ancient11–13-0.019%23 Aug →
inferno5–13-0.0610%23 Aug →
dust23–13-0.0333%23 Aug →
inferno7–5-0.057%23 Aug →
inferno13–70.0114%23 Aug →
mirage16–12-0.0413%23 Aug →
inferno13–100.0011%22 Aug →
mirage9–130.0526%22 Aug →
inferno13–10-0.0020%22 Aug →
dust213–16-0.0917%22 Aug →
dust212–160.0219%22 Aug →
cache9–13-0.028%22 Aug →
ancient8–13-0.0532%22 Aug →
inferno13–1-0.0219%22 Aug →
cache13–11-0.0812%21 Aug →
dust25–130.0626%21 Aug →
cache15–150.0123%20 Aug →
inferno7–13-0.078%20 Aug →
inferno5–13-0.1025%19 Aug →
dust213–90.0329%19 Aug →
dust213–60.0417%19 Aug →
cache13–60.0517%18 Aug →
ancient13–16-0.0125%18 Aug →
cache7–20.0124%18 Aug →
inferno5–13-0.0335%18 Aug →
nuke16–140.0123%16 Aug →
dust213–10-0.0318%16 Aug →
cache13–16-0.0216%16 Aug →
cache5–13-0.0026%9 Aug →
ancient15–150.0717%9 Aug →
anubis13–70.0129%9 Aug →
dust213–60.0129%5 Aug →
mirage5–13-0.1313%5 Aug →
anubis8–13-0.0116%5 Aug →
dust27–13-0.0419%4 Aug →
dust25–00.1743%4 Aug →
inferno13–11-0.0019%4 Aug →
ancient16–140.0120%4 Aug →
inferno15–15-0.0217%1 Aug →
dust28–13-0.0527%1 Aug →
ancient7–13-0.0621%1 Aug →
inferno5–13-0.0823%29 Jul →
cache13–20.0010%29 Jul →
inferno13–10-0.0316%29 Jul →
inferno13–40.0012%29 Jul →
cache13–30.0329%29 Jul →
mirage11–130.0119%26 Jul →
cache6–13-0.0513%26 Jul →
cache11–13-0.0329%26 Jul →
inferno10–13-0.0714%26 Jul →
inferno13–10.0723%26 Jul →
inferno11–13-0.0416%26 Jul →
anubis5–13-0.0516%22 Jul →
nuke14–16-0.0813%22 Jul →
dust213–10-0.0310%22 Jul →
anubis10–13-0.0520%22 Jul →
cache6–13-0.052%22 Jul →
cache15–15-0.039%22 Jul →
ancient10–13-0.0415%22 Jul →
anubis13–8-0.006%22 Jul →
ancient3–130.033%22 Jul →
dust213–10-0.0117%19 Jul →
inferno13–16-0.046%15 Jul →
cache13–10-0.0518%15 Jul →
cache9–130.0830%14 Jul →
fachwerk3–100.0525%14 Jul →
office13–50.2132%14 Jul →
cache7–13-0.059%14 Jul →
dust213–9-0.0417%14 Jul →
nuke13–70.0420%14 Jul →
anubis13–30.0110%13 Jul →
inferno9–13-0.0118%13 Jul →
inferno16–12-0.046%13 Jul →
train13–30.0916%13 Jul →
train13–7-0.0417%13 Jul →
dust28–13-0.0014%13 Jul →
vertigo2–13-0.0814%12 Jul →

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 →

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