Zhong The Conquistador

Zhong The Conquistador — CS2 Stats

AU76561198106105957[U:1:145840229]Steam profile ↗✓ No bans

342Tracked matches40%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 342 tracked matches. 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. 55 days played since 4 Aug 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,735 +5,329 14 Dec28 Apr · 20 days played
11,40617,690peak 17,69014 Dec28 Apr
17,792Peak Premier in tracked matches
55Days played since 2023-08-04

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.GGZhong The ConquistadorFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateWWLWLLLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · +7ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 717ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 674ms

Last 20

  • 812 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 670ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.8
Utility4.4
Positioning4.4
Opening Duels0.4

Excellent counter-strafingEffective 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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 38% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms 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

Aim7.8
Positioning4.4
Utility4.4
Mechanics9.2
Opening Duels1.0
Win Impact1.7

Composite 5.5/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time676ms−40ms
first ⅓ avg 717ms → last ⅓ avg 676ms
Headshot accuracy23.0%+3.9%
first ⅓ avg 19.1% → last ⅓ avg 23.0%

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 · 13–10 · overpass, 1 Mar
55%Best headshot accuracy · 13–3 · dust2, 7 Aug
453msFastest reaction time · 13–7 · mirage, 16 Feb
13–1Biggest win · mirage, 6 Jan

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
63In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 66% over 29ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS29191066%0.03
dust2B25131252%0.01
anubisA106460%0.00
vertigoA95456%0.01
infernoC83538%0.02
overpassC83538%0.03
ancientD72529%-0.02
nuke31233%-0.03
fachwerk110100%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

239Matches
51%Win rate
1.09Avg K/D
ADR
46%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1362%1.9815.9
Anubis933%1.1118.1
Ancient757%1.0315.6
Vertigo757%1.1317.3
Overpass520%1.3919.2
Inferno250%1.3017.0

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.

22.6%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.6%Spray accuracy
91.2%Counter-strafing
9.5°Preaim
674msReaction time
22.8%T opening success
38.1%CT opening success
0.74Enemies flashed / flash
6.5%Flash assists
7.69HE damage / grenade
3.66Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6639 — below the 4 mark we flag

    Grenade Lineups
  2. 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 22.804% — 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.

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–30.0555%7 Aug
fachwerk13–11-0.0226%24 Jul
dust27–130.0317%24 Jul
inferno13–70.0821%24 Jul
dust28–130.0218%7 May
anubis5–130.0016%5 May
nuke7–13-0.0618%3 May
overpass6–13-0.0121%3 May
mirage13–90.0418%1 May
ancient8–130.0017%1 May
inferno5–13-0.0142%1 May
mirage14–160.0023%26 Apr
mirage13–2-0.0323%26 Apr
dust213–110.0710%25 Apr
mirage8–13-0.0527%25 Apr
anubis9–130.0017%15 Apr
dust28–130.0223%15 Apr
inferno13–4-0.0019%13 Apr
dust216–130.0127%4 Apr
mirage7–130.028%4 Apr
mirage9–130.0217%2 Apr
mirage5–13-0.0224%2 Apr
inferno3–130.0222%1 Apr
mirage13–50.0333%28 Mar
dust210–13-0.0731%24 Mar
dust213–4-0.0333%18 Mar
dust25–13-0.0015%13 Mar
dust213–30.1028%13 Mar
mirage8–13-0.0821%8 Mar
mirage13–10.0522%6 Jan
dust213–5-0.0328%6 Jan
dust210–13-0.0722%6 Jan
mirage8–13-0.0317%6 Jan
mirage13–40.1132%7 Oct
mirage13–90.0126%24 May
inferno13–60.0723%13 May
mirage5–130.049%13 May
dust210–130.0523%7 May
mirage13–110.0230%7 May
dust27–130.0521%7 May
ancient4–130.0020%7 May
dust23–130.0646%7 May
dust213–7-0.0314%7 May
dust213–8-0.0123%5 May
mirage13–9-0.0131%5 May
dust213–6-0.0121%5 Apr
nuke13–10-0.0218%5 Apr
nuke4–80.0047%17 Mar
mirage13–16-0.0127%26 Feb
mirage13–70.0724%28 Apr
dust211–13-0.069%28 Apr
vertigo13–11-0.0226%17 Apr
mirage13–20.1021%5 Apr
mirage5–130.0940%31 Mar
anubis6–13-0.0212%20 Mar
anubis13–60.0318%20 Mar
ancient5–13-0.0332%15 Mar
vertigo13–50.0613%15 Mar
vertigo13–90.0817%9 Mar
mirage13–50.0823%9 Mar
anubis9–13-0.0427%7 Mar
mirage13–110.0414%7 Mar
vertigo16–120.0014%6 Mar
vertigo11–13-0.0416%6 Mar
mirage13–100.0519%5 Mar
overpass8–13-0.0422%5 Mar
anubis13–8-0.0220%5 Mar
overpass5–130.0315%5 Mar
inferno6–13-0.0621%4 Mar
anubis16–130.0017%4 Mar
overpass13–100.1723%1 Mar
overpass10–13-0.0126%1 Mar
ancient16–130.0516%1 Mar
overpass15–15-0.0319%28 Feb
mirage13–9-0.0319%23 Feb
dust213–90.1129%23 Feb
dust27–130.1427%23 Feb
mirage13–70.0815%16 Feb
anubis13–10-0.0127%15 Feb
mirage16–130.0018%15 Feb
mirage16–130.0416%10 Feb
ancient4–13-0.0931%10 Feb
ancient13–10-0.0311%9 Feb
anubis13–50.0723%9 Feb
mirage13–70.0626%9 Feb
overpass13–50.0320%8 Jan
vertigo9–13-0.0611%8 Jan
mirage13–60.0324%5 Jan
vertigo10–130.0114%1 Jan
vertigo5–13-0.0419%24 Dec
overpass13–40.1512%22 Dec
ancient9–13-0.0320%20 Dec
anubis13–7-0.0116%15 Dec
inferno6–13-0.0124%14 Dec
vertigo13–80.1014%14 Dec
dust216–60.0214%14 Aug
dust216–10-0.0314%14 Aug
dust216–14-0.059%14 Aug
inferno15–150.0415%4 Aug
dust29–16-0.0123%4 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →