wuha_!

wuha_! — CS2 Stats

AT76561197966826746[U:1:6561018]Steam profile ↗✓ No bans

1,874Tracked matches36%Win rate2020Tracked since
8,954Hours in CS6Hrs last 2 wks
CSDB Rating2.9 LearningSupport
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 10,000 -2,659 4 Sept – 10 Oct · 11 days played
10,00012,659peak 12,6594 Sept10 Oct
12,659Peak Premier in tracked matches
42Days played since 2026-05-11

Premier CS Rating

  • 2,659 below peak (12,659)
  • -579 over 30 days · declining
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-23
  • Light Blue band first seen 2026-09-23

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 Level 3 among CSDB-tracked players (n=10,051), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate43.2%41.8%42.7%meets
Shot accuracy13.5%12.2%11.3%above
Kill/death ratio0.660.980.990.34 short
Match win rate37.8%43.3%43.9%6.1% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwuha_!FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,000 · Blue bandcsdb.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

Aim26
Positioning36
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY35–59–6Last 10035%Win rateTLLWLWWLWL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.8pp headshot accuracy · −20ms reaction

Win rate −10pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 772ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 715ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 725ms

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 (+2.2 against its own average).

Aim2.6
Utility5.1
Positioning3.6
Opening Duels0.0

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

ZywOo

Plays most like ZywOo 63% 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

Reaction time. 718ms 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

Aim2.6
Positioning3.6
Utility5.1
Mechanics5.3
Opening Duels0.0
Win Impact0.2

Composite 2.9/10 (Learning), 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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time711ms−10ms
first ⅓ avg 721ms → last ⅓ avg 711ms
Headshot accuracy17.6%+3.0%
first ⅓ avg 14.6% → last ⅓ avg 17.6%

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

0.07Best match rating · 13–8 · dust2, 1 Sept →
38%Best headshot accuracy · 2–13 · dust2, 20 Jul →
422msFastest reaction time · 6–13 · ancient, 2 Sept →
13–0Biggest win · train, 25 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 44% over 16vertigoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D185–1328%-0.05
cacheC177–1041%-0.05
infernoC167–944%-0.04
nukeD165–1131%-0.04
ancientD92–722%-0.05
vertigoD71–614%-0.01
train—42–250%-0.02
anubis—32–167%-0.07
mirage—31–233%-0.05
overpass—30–30%-0.05
fachwerk—22–0100%-0.04
boulder—21–150%0.02

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

234,803Lifetime kills
0.66K/D
14,629Matches
37.8%Match win rate
43.2%Headshot % · Top 50% of Level 3 players
13.5%Shot accuracy · Top 50% of Level 3 players
16,002MVPs
6,087Hours (in match)
14,918Bombs planted
1,934Bombs defused

Most-used weapons

AK-4780,652
AWP15,628
P9010,002
AUG8,183
P2507,477
SG 5537,295

Lifetime map wins

22,075inferno
17,746dust2
8,100nuke
4,897train
1,908cbble
778vertigo
760dust
397italy

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

Faceit stats

Combat

269Matches
50%Win rate
0.84Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWL

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.

16.8%Headshot accuracy
22.2%Accuracy (enemy spotted)
27.3%Spray accuracy
73.9%Counter-strafing
9.5°Preaim
718msReaction time
26.7%T opening success
29.2%CT opening success
0.56Enemies flashed / flash
2.8%Flash assists
10.82HE damage / grenade
7.32Flashes / 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 717.5381ms — above the 700ms mark we flag

    Aim Training →
  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 26.7275% — below the 40% mark we flag

Spend your practice time on Vertigo

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.0314%10 Oct →
cache0–13-0.0918%9 Oct →
inferno8–13-0.1010%9 Oct →
anubis13–9-0.0415%9 Oct →
nuke10–13-0.0123%29 Sept →
cache13–10-0.0119%28 Sept →
anubis13–9-0.0412%28 Sept →
dust211–13-0.0313%27 Sept →
cache13–11-0.0829%24 Sept →
mirage10–13-0.0518%23 Sept →
nuke16–13-0.0510%21 Sept →
cache4–13-0.0914%12 Sept →
inferno13–80.0116%12 Sept →
vertigo2–13-0.0329%11 Sept →
fachwerk13–3-0.0127%11 Sept →
boulder13–70.0629%11 Sept →
ancient14–16-0.0413%10 Sept →
inferno13–8-0.038%10 Sept →
dust211–13-0.0413%10 Sept →
cache12–120.0119%8 Sept →
cache5–13-0.1118%7 Sept →
dust22–13-0.0816%7 Sept →
nuke7–13-0.0613%7 Sept →
ancient14–16-0.0413%6 Sept →
nuke9–130.0018%6 Sept →
dust27–13-0.0226%6 Sept →
dust213–5-0.0314%4 Sept →
cache10–13-0.0221%4 Sept →
nuke11–13-0.059%4 Sept →
nuke11–13-0.0419%3 Sept →
dust28–13-0.0732%3 Sept →
ancient6–13-0.0319%2 Sept →
dust26–13-0.1015%2 Sept →
inferno8–13-0.0713%2 Sept →
nuke3–13-0.0630%2 Sept →
ancient13–7-0.0313%2 Sept →
dust213–80.0717%1 Sept →
nuke10–13-0.074%1 Sept →
cache13–6-0.0214%1 Sept →
inferno5–13-0.0315%1 Sept →
ancient8–13-0.0914%1 Sept →
nuke6–13-0.036%30 Aug →
nuke13–8-0.0312%30 Aug →
inferno6–13-0.0711%30 Aug →
cache8–13-0.0516%28 Aug →
cache14–16-0.0714%28 Aug →
nuke10–13-0.0314%28 Aug →
nuke10–13-0.084%27 Aug →
ancient13–110.0119%27 Aug →
dust215–15-0.0613%26 Aug →
fachwerk13–7-0.0616%25 Aug →
train13–0-0.0713%25 Aug →
cache13–5-0.0213%25 Aug →
overpass11–13-0.1114%25 Aug →
overpass9–13-0.0412%24 Aug →
vertigo9–13-0.0115%24 Aug →
dust26–13-0.0320%23 Aug →
ancient8–13-0.1210%23 Aug →
dust23–13-0.1019%21 Aug →
cache13–11-0.0720%21 Aug →
nuke13–11-0.0222%21 Aug →
inferno13–2-0.0014%21 Aug →
nuke13–70.0515%20 Aug →
dust29–13-0.0324%20 Aug →
inferno3–13-0.029%20 Aug →
ancient3–13-0.1217%17 Aug →
inferno13–8-0.028%17 Aug →
boulder11–13-0.0211%15 Aug →
cache13–5-0.0110%15 Aug →
inferno13–9-0.0125%10 Aug →
vertigo7–130.0319%10 Aug →
cache12–120.0118%10 Aug →
train13–90.0113%10 Aug →
inferno13–3-0.0217%8 Aug →
overpass3–13-0.0023%8 Aug →
nuke4–13-0.0810%6 Aug →
train12–12-0.019%5 Aug →
vertigo13–70.0415%5 Aug →
inferno9–13-0.0623%29 Jul →
mirage10–13-0.0612%29 Jul →
dust29–13-0.0619%21 Jul →
inferno13–7-0.0331%21 Jul →
inferno11–13-0.076%20 Jul →
dust22–13-0.0938%20 Jul →
cache8–13-0.0917%18 Jul →
vertigo4–9-0.080%18 Jul →
anubis2–13-0.124%18 Jul →
nuke13–10-0.047%26 Jun →
vertigo6–130.016%26 Jun →
dust23–4-0.0430%26 Jun →
dust213–10-0.0812%3 Jun →
inferno12–16-0.005%3 Jun →
train12–12-0.0111%1 Jun →
cache6–13-0.0610%1 Jun →
dust211–13-0.0213%12 May →
inferno8–13-0.057%12 May →
vertigo9–13-0.0313%11 May →
mirage13–11-0.039%11 May →
dust213–10-0.0515%11 May →
cache13–8-0.0625%11 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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