Zuxin

Zuxin — CS2 Stats

76561197985362509[U:1:25096781]Steam profile ↗✓ No bans

999Tracked matches42%Win rate2020Tracked since
3,810Hours in CS42Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating10,371Blue band · top ~52.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 23 days played since 15 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,371 +1,863 9 Aug20 Sept · 13 days played
8,50810,371peak 10,3719 Aug20 Sept
10,483Peak Premier in tracked matches
822Highest Faceit ELO seen on CSDB
23Days played since 2026-07-15

Faceit ELO

  • At peak — 822
  • Next: Level 4 at 901 79 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • At peak — 10,371
  • +588 over 30 days · improving
  • Next: Purple band at 15,000 4,629 to go
  • Reached: Blue band · Light Blue band

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=20,242), 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 rate36.4%41.9%44.3%7.9% short
Shot accuracy13.4%9.6%11.8%above
Kill/death ratio0.970.981.030.07 short
Match win rate40.6%43.8%45.2%4.7% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGZuxinPREMIER10,371 · Blue bandPEAK ELO822csdb.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

Aim69
Positioning55
Utility53

0–100 skill scores via Leetify.

Recent form

COLD33616Last 10033%Win rateLWLLWLLTTT

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · +16ms reaction

Win rate down 20pp 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

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 586ms

Last 10

  • 253 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 574ms

Last 20

  • 6104 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 565ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim6.9
Utility5.3
Positioning5.5
Opening Duels2.5
Clutch0.8

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

CT openings. Opening success drops from 54% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 557ms 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
Positioning5.5
Utility5.3
Mechanics7.2
Opening Duels4.2
Win Impact2.4

Composite 5.4/10 (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 -0.03 → last ⅓ avg -0.02
Reaction time550ms−65ms
first ⅓ avg 616ms → last ⅓ avg 550ms
Headshot accuracy12.0%+1.5%
first ⅓ avg 10.6% → last ⅓ avg 12.0%

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

0.08Best match rating · 13–1 · inferno, 20 Sept
29%Best headshot accuracy · 4–13 · ancient, 18 Sept
406msFastest reaction time · 13–3 · inferno, 19 Sept
13–1Biggest win · inferno, 20 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
57In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 44% over 16anubisWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
infernoC28101836%-0.02
ancientC2591636%-0.03
anubisD1841422%-0.03
cacheC167944%-0.03
mirageD62433%-0.02
nuke41325%0.02
dust23030%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,122Lifetime kills
0.97K/D
5,038Matches
40.6%Match win rate
36.4%Headshot %
13.4%Shot accuracy · Top 50% of Blue band
7,236MVPs
1,972Hours (in match)
5,436Bombs planted
811Bombs defused

Most-used weapons

AK-4726,573
AWP9,218
P2502,203
MAC-102,153
FAMAS2,117
SSG 082,008

Lifetime map wins

8,984inferno
3,509dust2
2,414nuke
1,866train
881cbble
392vertigo
93assault
89aztec

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

Faceit stats

Combat

227Matches
49%Win rate
0.96Avg K/D
73.0ADR
31%Headshot %

Clutches & streaks

24%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3962%1.0314.6
Inferno3361%0.9012.6
Mirage2941%0.9213.3
Anubis2446%0.9014.4
Nuke1540%1.0716.3
Dust240%0.6410.0
Overpass425%0.8117.8
Vertigo20%0.754.0

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.

11.9%Headshot accuracy
35.7%Accuracy (enemy spotted)
41.5%Spray accuracy
82.2%Counter-strafing
10.4°Preaim
557msReaction time
54.4%T opening success
38.9%CT opening success
0.44Enemies flashed / flash
7.1%Flash assists
8.05HE damage / grenade
11.57Flashes / 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 11.8582% — 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 0.4432 — 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 38.8513% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0611%20 Sept
inferno13–10.088%20 Sept
ancient10–13-0.0415%20 Sept
anubis10–13-0.055%20 Sept
inferno13–40.0013%20 Sept
anubis10–13-0.059%20 Sept
inferno6–13-0.069%20 Sept
inferno15–15-0.036%20 Sept
ancient15–15-0.0117%20 Sept
cache15–150.018%20 Sept
mirage10–130.0115%20 Sept
cache13–70.017%20 Sept
ancient10–13-0.0015%20 Sept
inferno16–140.0612%19 Sept
anubis11–13-0.0314%19 Sept
cache8–13-0.0710%19 Sept
ancient13–7-0.0117%19 Sept
cache15–15-0.0116%19 Sept
dust211–13-0.018%19 Sept
mirage13–9-0.086%19 Sept
anubis6–13-0.0316%19 Sept
anubis6–13-0.0413%19 Sept
inferno13–5-0.028%19 Sept
inferno8–13-0.038%19 Sept
anubis13–80.0417%19 Sept
ancient5–13-0.0423%19 Sept
inferno8–13-0.0215%19 Sept
ancient13–5-0.0217%19 Sept
cache13–80.0518%19 Sept
ancient13–11-0.076%19 Sept
anubis13–6-0.0214%19 Sept
inferno13–3-0.0218%19 Sept
anubis13–16-0.038%19 Sept
ancient4–13-0.0429%18 Sept
mirage2–13-0.078%18 Sept
inferno13–5-0.0114%18 Sept
dust211–13-0.0314%18 Sept
anubis7–13-0.0318%18 Sept
cache13–4-0.0311%18 Sept
ancient7–130.009%18 Sept
nuke7–13-0.008%18 Sept
inferno8–13-0.0116%18 Sept
ancient2–13-0.0710%18 Sept
inferno7–13-0.0527%18 Sept
ancient7–13-0.0614%18 Sept
inferno8–13-0.1114%13 Sept
ancient13–9-0.0319%13 Sept
mirage4–130.0115%13 Sept
inferno4–13-0.036%13 Sept
inferno14–16-0.0513%10 Sept
inferno6–13-0.048%2 Sept
ancient13–7-0.0612%2 Sept
anubis6–13-0.067%2 Sept
mirage13–8-0.0113%2 Sept
ancient13–100.008%30 Aug
anubis15–15-0.038%30 Aug
inferno10–13-0.0216%30 Aug
ancient5–13-0.049%29 Aug
inferno8–13-0.0210%29 Aug
mirage6–130.0223%24 Aug
ancient9–13-0.0210%23 Aug
anubis10–13-0.075%23 Aug
cache7–13-0.044%23 Aug
ancient13–10-0.0113%23 Aug
inferno16–12-0.0117%16 Aug
cache13–110.037%16 Aug
inferno13–60.0315%12 Aug
ancient13–70.038%9 Aug
ancient13–70.038%9 Aug
inferno9–13-0.0218%8 Aug
ancient9–13-0.0210%8 Aug
cache11–13-0.058%8 Aug
ancient7–13-0.066%8 Aug
nuke10–13-0.0110%8 Aug
cache13–11-0.0712%8 Aug
inferno3–13-0.076%8 Aug
ancient0–13-0.1020%8 Aug
cache10–13-0.070%8 Aug
anubis13–8-0.0015%8 Aug
anubis11–13-0.0515%5 Aug
nuke13–30.069%5 Aug
inferno10–13-0.0614%5 Aug
inferno4–13-0.0315%4 Aug
ancient12–16-0.058%4 Aug
cache13–6-0.0314%2 Aug
cache0–13-0.054%31 Jul
nuke1–130.018%31 Jul
anubis14–160.0420%31 Jul
anubis15–15-0.0114%30 Jul
ancient5–13-0.058%30 Jul
cache8–13-0.056%30 Jul
cache3–13-0.0219%20 Jul
inferno13–16-0.0310%17 Jul
inferno9–13-0.017%16 Jul
anubis13–6-0.0311%16 Jul
inferno13–11-0.0513%16 Jul
anubis8–13-0.036%15 Jul
inferno13–9-0.0512%15 Jul
cache13–4-0.0312%15 Jul
ancient4–13-0.104%15 Jul

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 →