Zhong The Conquistador

Zhong The Conquistador — CS2 Stats

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

343Tracked matches37%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 343
−3.3ppWin rate · 40.0% → 36.7%

Rating over time

Premier CS Rating: 16,735 +5,329 14 Dec – 28 Apr · 20 days played
11,40617,690peak 17,69014 Dec28 Apr
17,792Peak Premier in tracked matches
56Days played since 2023-08-04

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

Share this profile

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

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Performance scores

Aim76
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLWWLWLLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · +35ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 30%
  • Avg reaction 766ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 701ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 683ms

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 (+1.5 against its own average).

Aim7.6
Utility4.5
Positioning4.4
Opening Duels0.1

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

b1t

Plays most like b1t 90% 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 32 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.

Reaction time. 679ms 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

Aim7.6
Positioning4.4
Utility4.5
Mechanics9.1
Opening Duels0.7
Win Impact0.6

Composite 5.3/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time686ms−38ms
first ⅓ avg 724ms → last ⅓ avg 686ms
Headshot accuracy23.4%+4.4%
first ⅓ avg 19.0% → last ⅓ avg 23.4%

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

0.17Best 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
6–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 66% over 29ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageS2919–1066%0.03
dust2B2513–1252%0.01
anubisA106–460%0.00
vertigoA95–456%0.01
infernoC83–538%0.02
overpassC83–538%0.03
ancientD72–529%-0.02
nuke—31–233%-0.03
fachwerk—11–0100%-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.

22.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.2%Spray accuracy
91.1%Counter-strafing
9.8°Preaim
679msReaction time
22.9%T opening success
35.9%CT opening success
0.75Enemies flashed / flash
6.5%Flash assists
7.32HE damage / grenade
3.76Flashes / 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 3.7572 — 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 22.9201% — 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 & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–5-0.0631%21 Sept →
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 →

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 →

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