ZXC

ZXC — CS2 Stats

SB76561198833954273[U:1:873688545]Steam profile ↗✓ No bans

503Tracked matches55%Win rate2020Tracked since
3,817Hours in CS10Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
Premier CS Rating16,148Purple band · top ~23.8% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGZXCPREMIER16,148 · Purple bandcsdb.gg/stats

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Performance scores

Aim49
Positioning54
Utility58

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateLWWWLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −6.1pp headshot accuracy · +28ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 555ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

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 (+1.3 against its own average).

Aim4.9
Utility5.8
Positioning5.4
Opening Duels2.3

Strong CT-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

Twistzz

Plays most like Twistzz 73% 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

T-side openings. Opening success drops from 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 67% 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

Aim4.9
Positioning5.4
Utility5.8
Mechanics3.8
Opening Duels3.3
Win Impact6.7

Composite 5.0/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time527ms−51ms
first ⅓ avg 578ms → last ⅓ avg 527ms
Headshot accuracy17.7%−2.0%
first ⅓ avg 19.8% → last ⅓ avg 17.7%

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

0.15Best match rating · 13–9 · ancient, 26 Sept →
50%Best headshot accuracy · 3–13 · nuke, 26 Sept →
94msFastest reaction time · 0–13 · dust2, 17 Jul →
13–2Biggest win · ancient, 23 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 71% over 14infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3012–1840%-0.01
dust2B2211–1150%0.02
ancientS1812–667%0.01
anubisS1410–471%-0.00
nukeC73–443%0.00
infernoD72–529%-0.00
cache—20–20%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,875Lifetime kills
0.94K/D
4,168Matches
43.1%Match win rate
52.0%Headshot %
12.4%Shot accuracy
8,067MVPs
1,850Hours (in match)
4,877Bombs planted
829Bombs defused

Most-used weapons

AK-4725,820
AWP12,722
SSG 081,460
FAMAS1,308
MP9899

Lifetime map wins

18,708dust2
3,347inferno
638nuke
400vertigo
300train
83cbble
67lake
32bank

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

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
29.0%Accuracy (enemy spotted)
25.4%Spray accuracy
66.9%Counter-strafing
9.0°Preaim
531msReaction time
33.5%T opening success
53.2%CT opening success
0.55Enemies flashed / flash
5.2%Flash assists
6.74HE damage / grenade
10.69Flashes / 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 33.4951% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage14–16-0.0212%14 Nov →
anubis13–5-0.0112%14 Nov →
mirage13–10-0.066%13 Nov →
ancient13–50.027%13 Nov →
nuke8–13-0.0613%13 Nov →
ancient13–90.0116%13 Nov →
anubis13–10-0.0715%13 Nov →
anubis13–11-0.0312%13 Nov →
anubis13–40.0616%13 Nov →
cache7–13-0.0319%13 Nov →
ancient13–11-0.0021%12 Nov →
dust24–13-0.108%25 Oct →
mirage13–6-0.0626%25 Oct →
dust215–150.0322%25 Oct →
dust213–90.0119%5 Oct →
mirage10–13-0.0619%5 Oct →
anubis9–130.0128%4 Oct →
dust213–60.0415%4 Oct →
nuke11–13-0.0210%4 Oct →
mirage4–13-0.0321%29 Sept →
dust20–13-0.060%29 Sept →
inferno13–3-0.0713%29 Sept →
mirage9–13-0.0821%26 Sept →
nuke3–130.0250%26 Sept →
ancient10–13-0.0726%26 Sept →
ancient13–90.1512%26 Sept →
mirage13–70.0621%26 Sept →
dust28–130.0121%23 Sept →
anubis13–50.0021%23 Sept →
ancient13–20.0721%23 Sept →
dust213–60.0213%23 Sept →
mirage13–80.0216%23 Sept →
ancient13–110.0134%23 Sept →
mirage7–130.0113%23 Sept →
mirage13–70.1023%19 Sept →
mirage2–13-0.0315%17 Sept →
ancient16–14-0.0121%14 Sept →
dust213–7-0.019%14 Sept →
inferno13–70.0138%11 Sept →
mirage13–40.0219%11 Sept →
mirage8–13-0.0414%11 Sept →
mirage5–13-0.0425%11 Sept →
dust27–130.0920%4 Sept →
dust213–70.0728%4 Sept →
inferno7–13-0.0515%4 Sept →
dust213–60.0916%4 Sept →
mirage15–150.0715%4 Sept →
ancient8–130.0424%28 Aug →
inferno8–130.0024%28 Aug →
mirage13–40.0726%28 Aug →
dust213–90.0115%27 Aug →
anubis10–130.0018%27 Aug →
nuke13–100.0539%25 Aug →
dust27–130.0117%24 Aug →
ancient7–13-0.0416%24 Aug →
dust216–130.0720%22 Aug →
dust29–130.0813%22 Aug →
mirage10–13-0.0812%22 Aug →
mirage9–13-0.0138%21 Aug →
mirage13–60.0612%20 Aug →
inferno7–130.0315%20 Aug →
inferno10–130.0231%20 Aug →
mirage9–130.0315%20 Aug →
ancient11–13-0.0432%17 Aug →
mirage11–130.0226%17 Aug →
dust215–150.0423%17 Aug →
nuke13–110.0318%17 Aug →
ancient13–90.1113%16 Aug →
inferno14–160.0221%30 Jul →
mirage13–11-0.0319%30 Jul →
dust214–160.0217%30 Jul →
anubis8–13-0.0628%26 Jul →
mirage5–13-0.0214%26 Jul →
ancient5–13-0.0417%26 Jul →
dust213–60.0513%26 Jul →
anubis13–110.0019%23 Jul →
nuke13–9-0.0126%23 Jul →
mirage7–13-0.0520%23 Jul →
anubis13–50.0521%23 Jul →
cache10–13-0.0626%23 Jul →
ancient13–3-0.0118%21 Jul →
dust213–60.0721%21 Jul →
ancient13–40.1015%17 Jul →
dust20–13-0.1233%17 Jul →
dust213–40.0314%17 Jul →
anubis13–10-0.0317%17 Jul →
mirage13–9-0.0517%17 Jul →
anubis13–60.0322%17 Jul →
ancient13–7-0.0327%17 Jul →
mirage16–140.0316%17 Jul →
dust213–16-0.0319%17 Jul →
ancient14–16-0.0719%17 Jul →
nuke6–130.0115%17 Jul →
mirage7–13-0.0521%17 Jul →
anubis10–130.0114%16 Jul →
mirage10–13-0.0422%16 Jul →
ancient16–130.0519%16 Jul →
mirage1–13-0.0812%16 Jul →
mirage13–90.0134%16 Jul →
anubis13–6-0.0122%16 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 →

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