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zhpchshts — CS2 Stats

76561198080743465[U:1:120477737]✓ No bans

344Tracked matches34%Win rate2023Tracked since
954Hours in CS6Hrs last 2 wks
CSDB Rating3.0 Learning
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim31
Positioning34
Utility34

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateLLLLWWLLLL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim3.1
Aggression5.6
Utility3.4
Positioning3.4
Opening Duels0.5
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 742ms 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

Aim3.1
Positioning3.4
Utility3.4
Mechanics5.4
Opening Duels0.5
Win Impact0.0

Composite 3.0/10 (Learning), 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-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time754ms+102ms
first ⅓ avg 652ms → last ⅓ avg 754ms
Headshot accuracy16.7%+2.0%
first ⅓ avg 14.7% → last ⅓ avg 16.7%

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.

Highlights

0.05Best rating — ancient 13–1
13–1Biggest win — cache
5Longest win streak
L4Current streak
8–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 80% over 5mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C198–1142%-0.06
infernoC135–838%-0.06
ancientA117–464%-0.02
nukeC94–544%-0.04
cacheA85–363%-0.04
trainA85–363%-0.03
vertigoA74–357%-0.05
mirageD61–517%-0.08
anubisS54–180%-0.04
officeC52–340%-0.06
overpass—41–325%-0.06
stronghold—31–233%-0.05
warden—10–10%-0.01
alpine—10–10%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,408Lifetime kills
1.86K/D · Top 5% of tracked players
2,307Matches
52.4%Match win rate · Top 10% of tracked players
47.1%Headshot % · Top 50% of tracked players
10.9%Shot accuracy
6,064MVPs
598Hours (in match)
1,559Bombs planted
663Bombs defused

Most-used weapons

AK-4711,779
M4A4 / M4A1-S9,148
P2000 / USP-S6,702
AWP5,964
AUG5,900
Desert Eagle2,233
Tec-91,891
Glock-181,265
SSG 081,104
Galil AR796

Lifetime map wins

2,017dust2
2,017inferno
1,588nuke
1,208vertigo
918train
660assault
357office
279italy

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

Faceit stats

Combat

57Matches
49%Win rate
0.70Avg K/D
55.4ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21861%0.689.8
Anubis1267%0.668.8
Inferno933%0.7811.2
Ancient933%0.7310.1
Mirage425%0.618.0
Nuke333%0.519.7
Cache10%0.448.0
Vertigo1100%1.5614.0

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.

16.5%Headshot accuracy
26.9%Accuracy (enemy spotted)
26.6%Spray accuracy
74.5%Counter-strafing
9.3°Preaim
742msReaction time
30.1%T opening success
34.1%CT opening success
0.46Enemies flashed / flash
2.6%Flash assists
6.94HE damage / grenade
5.12Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 741.8262ms — above the 700ms 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 0.4648 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 30.0821% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0619%13 Aug →
ancient1–5-0.0620%13 Aug →
cache7–13-0.0710%30 Jul →
nuke13–16-0.0410%26 Jul →
cache13–3-0.0617%23 Jul →
ancient13–10-0.0225%23 Jul →
cache5–13-0.0215%18 Jul →
ancient10–13-0.0512%18 Jul →
inferno9–130.0118%18 Jul →
dust211–13-0.059%12 Jul →
inferno2–13-0.0422%12 Jul →
nuke16–120.0221%12 Jul →
mirage2–13-0.0938%22 Jun →
ancient13–2-0.0112%22 Jun →
cache13–4-0.0625%22 Jun →
stronghold11–13-0.089%22 Jun →
nuke10–13-0.0914%17 Jun →
train13–11-0.0019%17 Jun →
warden8–13-0.0127%29 May →
nuke8–13-0.0517%23 May →
anubis13–4-0.0613%23 May →
train13–6-0.0314%23 May →
cache13–9-0.0418%22 May →
inferno8–13-0.0410%22 May →
dust24–5-0.130%22 May →
inferno1–13-0.128%20 May →
mirage7–13-0.1115%9 May →
dust25–13-0.0413%8 May →
train12–12-0.0424%8 May →
alpine8–13-0.0320%7 May →
dust212–16-0.0420%7 May →
cache13–11-0.0512%7 May →
cache13–1-0.0028%6 May →
nuke13–5-0.0610%6 May →
dust28–13-0.0817%6 May →
anubis12–6-0.0319%4 May →
inferno13–10-0.0421%4 May →
dust23–13-0.1014%4 May →
mirage12–12-0.1115%1 May →
cache11–13-0.0317%1 May →
dust27–13-0.0818%1 May →
overpass14–16-0.0514%30 Apr →
dust25–13-0.130%30 Apr →
anubis8–13-0.0418%30 Apr →
train13–50.0014%26 Apr →
office12–12-0.1114%26 Apr →
dust24–13-0.1012%25 Apr →
train13–60.0217%24 Apr →
dust213–20.0013%22 Apr →
ancient3–13-0.0411%22 Apr →
inferno10–13-0.0917%22 Apr →
stronghold13–110.0123%21 Apr →
dust213–4-0.0127%21 Apr →
ancient13–3-0.0529%21 Apr →
ancient13–11-0.0123%21 Apr →
mirage8–13-0.0435%13 Apr →
dust213–11-0.0414%13 Apr →
anubis13–10-0.0311%12 Apr →
overpass7–13-0.0615%12 Apr →
inferno7–13-0.0514%11 Apr →
nuke6–13-0.0520%11 Apr →
ancient11–13-0.0216%10 Apr →
stronghold6–13-0.0717%10 Apr →
dust213–10-0.0520%10 Apr →
office11–13-0.0516%10 Apr →
inferno13–10-0.0718%10 Apr →
vertigo13–8-0.0324%9 Apr →
nuke13–10-0.0223%8 Apr →
vertigo12–12-0.104%8 Apr →
vertigo13–7-0.0521%8 Apr →
inferno13–5-0.0312%4 Apr →
ancient13–10.0521%1 Apr →
inferno11–13-0.0412%1 Apr →
dust22–13-0.0413%1 Apr →
ancient13–4-0.037%31 Mar →
vertigo13–8-0.1215%31 Mar →
inferno13–6-0.0618%31 Mar →
dust213–7-0.0210%31 Mar →
ancient13–60.0012%30 Mar →
vertigo8–13-0.0321%30 Mar →
anubis13–5-0.057%30 Mar →
inferno2–13-0.0627%29 Mar →
nuke12–12-0.0510%29 Mar →
train0–13-0.067%29 Mar →
dust29–13-0.0615%29 Mar →
vertigo13–8-0.0421%29 Mar →
overpass13–9-0.079%29 Mar →
vertigo5–13-0.0128%28 Mar →
inferno13–11-0.0816%27 Mar →
nuke13–11-0.0523%27 Mar →
mirage13–5-0.0412%26 Mar →
office8–13-0.0710%26 Mar →
train11–13-0.0219%26 Mar →
dust213–9-0.0515%26 Mar →
dust213–10-0.0212%25 Mar →
office13–10-0.0912%25 Mar →
overpass4–13-0.0715%23 Mar →
train13–5-0.0813%23 Mar →
mirage8–13-0.0811%23 Mar →
office13–30.0217%22 Mar →

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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