0_0 ZyT8x

0_0 ZyT8x — CS2 Stats

DK76561198061916073[U:1:101650345]Steam profile ↗✓ No bans

1,697Tracked matches48%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating23,346Top 25% of 204,412 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)
CSDB Leaderboard#38232 of 251770 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+716Premier CS Rating · 22,630 → 23,346

Rating over time

Premier CS Rating: 23,346 -229 23 Jun – 14 Oct · 26 days played
20,56924,674peak 24,67423 Jun14 Oct
24,674Peak Premier in tracked matches
38Days played since 2026-06-23

Premier CS Rating

  • 1,328 below peak (24,674)
  • +1,004 over 30 days · improving
  • -1,328 over 90 days
  • Next: Red band at 25,000 — 1,654 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-16
  • Purple band first seen 2026-09-16

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

Share this profile

CSDB.GG0_0 ZyT8xPREMIER23,346 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning60
Utility63

0–100 skill scores via Leetify.

Recent form

HOT54–45–1Last 10054%Win rateWWLWLWWWWW

Last 10 vs previous 10: +60pp win rate · +0.05 avg rating · +4.0pp headshot accuracy · −17ms reaction

Win rate up 60pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 480ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 504ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 512ms

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 (+1.6 against its own average).

Aim6.9
Utility6.3
Positioning6.0
Opening Duels2.9
Clutch3.6

Strong CT-side openerEffective 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

ZywOo

Plays most like ZywOo 87% 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 →

CSDB Rating breakdown

Aim6.9
Positioning6.0
Utility6.3
Mechanics5.6
Opening Duels4.3
Win Impact4.4

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time512ms−32ms
first ⅓ avg 545ms → last ⅓ avg 512ms
Headshot accuracy18.0%−0.3%
first ⅓ avg 18.3% → last ⅓ avg 18.0%

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 · 13–7 · boulder, 6 Oct →
32%Best headshot accuracy · 13–3 · dust2, 14 Oct →
375msFastest reaction time · 7–13 · inferno, 2 Oct →
13–0Biggest win · inferno, 1 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 71% over 7dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB2010–1050%0.02
infernoB1910–953%0.03
dust2C166–1038%0.02
mirageB158–753%0.00
anubisS139–469%0.04
nukeS75–271%0.05
ancient—32–167%0.02
boulder—22–0100%0.13
vertigo—20–20%0.01
train—11–0100%0.06
shelter—10–10%0.02
fachwerk—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

508Matches
55%Win rate
1.09Avg K/D
89.5ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
33%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2361%1.1314.7
Inferno1782%1.6216.2
Vertigo1656%1.2614.1
Mirage540%0.9913.4
Dust2367%1.6619.7
Train2100%1.3818.5
Cache2100%1.6218.5
Nuke1100%1.1813.0

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.

17.4%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.0%Spray accuracy
75.0%Counter-strafing
9.1°Preaim
510msReaction time
43.9%T opening success
50.2%CT opening success
0.72Enemies flashed / flash
3.8%Flash assists
6.89HE damage / grenade
11.26Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–100.0830%14 Oct →
dust213–30.0332%14 Oct →
anubis9–130.0317%14 Oct →
anubis13–100.0714%14 Oct →
ancient10–13-0.0510%11 Oct →
cache13–2-0.0321%7 Oct →
dust213–70.0313%7 Oct →
boulder13–70.1719%6 Oct →
inferno13–20.0929%6 Oct →
cache13–40.0218%4 Oct →
inferno13–16-0.0315%3 Oct →
cache6–13-0.0610%3 Oct →
dust215–150.0114%3 Oct →
dust24–130.0322%3 Oct →
mirage1–13-0.125%3 Oct →
inferno8–130.0519%3 Oct →
anubis10–130.0314%2 Oct →
mirage11–13-0.0122%2 Oct →
nuke16–140.0216%2 Oct →
mirage13–100.0128%2 Oct →
inferno7–130.0111%2 Oct →
cache13–9-0.0124%29 Sept →
cache7–13-0.058%29 Sept →
anubis13–80.0328%29 Sept →
dust24–13-0.1017%28 Sept →
mirage8–130.0113%28 Sept →
inferno13–60.0728%28 Sept →
inferno10–13-0.017%27 Sept →
nuke7–130.0321%27 Sept →
nuke16–120.079%23 Sept →
inferno13–70.1220%23 Sept →
cache13–6-0.0224%20 Sept →
cache9–13-0.0019%20 Sept →
anubis13–60.0219%18 Sept →
cache13–70.0217%18 Sept →
dust213–90.0114%16 Sept →
mirage13–90.1023%16 Sept →
inferno7–13-0.0818%16 Sept →
inferno14–16-0.0221%15 Sept →
anubis13–10.0423%15 Sept →
ancient13–40.0324%15 Sept →
anubis8–130.0216%14 Sept →
inferno13–90.0214%14 Sept →
train13–10.0615%11 Sept →
dust213–100.0018%7 Sept →
inferno11–13-0.0213%6 Sept →
dust24–13-0.0115%6 Sept →
mirage13–110.1017%5 Sept →
nuke13–80.1019%5 Sept →
inferno13–100.0415%5 Sept →
inferno13–100.0319%5 Sept →
cache14–16-0.0122%1 Sept →
mirage2–13-0.0512%1 Sept →
inferno13–00.1328%1 Sept →
cache10–13-0.0316%1 Sept →
nuke9–130.0128%31 Aug →
cache13–110.059%31 Aug →
mirage1–130.010%31 Aug →
dust29–130.0820%30 Aug →
dust29–130.039%30 Aug →
nuke13–70.0420%29 Aug →
anubis13–110.0422%29 Aug →
mirage13–100.0211%27 Aug →
cache14–160.0415%27 Aug →
cache4–130.0215%27 Aug →
dust29–130.019%26 Aug →
cache16–130.0412%26 Aug →
anubis13–50.0817%25 Aug →
cache13–30.1030%25 Aug →
mirage13–9-0.0012%22 Aug →
dust29–130.0314%1 Aug →
inferno13–10.0414%1 Aug →
dust213–10.0726%1 Aug →
inferno11–13-0.0524%1 Aug →
inferno13–00.1015%17 Jul →
anubis13–20.017%17 Jul →
cache10–130.0218%17 Jul →
cache7–130.0222%11 Jul →
mirage13–60.0621%11 Jul →
shelter10–130.0212%11 Jul →
fachwerk13–7-0.0215%11 Jul →
boulder13–10.0923%11 Jul →
dust26–130.0622%11 Jul →
vertigo9–13-0.035%8 Jul →
mirage5–13-0.0426%8 Jul →
dust213–20.1423%8 Jul →
inferno13–60.039%2 Jul →
mirage14–16-0.0313%2 Jul →
anubis6–130.0221%29 Jun →
mirage13–100.039%29 Jun →
anubis13–70.0221%29 Jun →
cache13–60.0924%28 Jun →
nuke13–50.1221%25 Jun →
inferno8–130.0029%25 Jun →
cache13–60.0329%24 Jun →
vertigo8–130.0514%24 Jun →
anubis13–110.0715%24 Jun →
cache10–130.0715%23 Jun →
dust211–13-0.0323%23 Jun →
mirage13–8-0.0216%23 Jun →

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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