VoiceChanger

VoiceChanger — CS2 Stats

76561199798648208[U:1:1838382480]Steam profile ↗✓ No bans

414Tracked matches48%Win rate2024Tracked since
782Hours in CS11Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (9 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: 9,999 -885 30 Jul – 29 Sept · 19 days played
9,74912,422peak 12,42230 Jul29 Sept
12,531Peak Premier in tracked matches
18Days played since 2026-07-30

Premier CS Rating

  • 2,423 below peak (12,422)
  • -639 over 30 days · declining
  • Next: Blue band at 10,000 — 1 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches21——
Win rate38%——
K/D1.06——
Headshot %58%——

Measured 5 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate53.7%39.9%42.0%above
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio1.120.920.98above
Match win rate49.4%42.3%43.8%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVoiceChangerPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim83
Positioning43
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY44–53–3Last 10044%Win rateWWWLLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · +28ms reaction

Win rate up 20pp 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 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 678ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 687ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 673ms

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: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim8.3
Utility1.8
Positioning4.3
Opening Duels3.6

Limited 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

ropz

Plays most like ropz 82% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 40 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. 667ms 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

Aim8.3
Positioning4.3
Utility1.8
Mechanics6.9
Opening Duels4.1
Win Impact4.4

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time662ms−31ms
first ⅓ avg 694ms → last ⅓ avg 662ms
Headshot accuracy23.2%−1.1%
first ⅓ avg 24.4% → last ⅓ avg 23.2%

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

0.19Best match rating · 13–5 · anubis, 28 Sept →
55%Best headshot accuracy · 3–13 · mirage, 31 Aug →
469msFastest reaction time · 2–13 · anubis, 1 Sept →
13–0Biggest win · inferno, 31 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
10–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 60% over 5nukeWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2611–1542%0.01
mirageD248–1633%0.01
cacheA127–558%0.02
infernoA116–555%0.01
nukeD102–820%-0.00
anubisA95–456%0.02
ancientA53–260%-0.01
train—32–167%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,008Lifetime kills
1.12K/D · Top 25% of Light Blue band
737Matches
49.4%Match win rate · Top 10% of Light Blue band
53.7%Headshot % · Top 10% of Light Blue band
0.0%Shot accuracy
1,663MVPs
302Hours (in match)
355Bombs planted
228Bombs defused

Most-used weapons

Lifetime map wins

2,356dust2
1,165inferno
539nuke
138office
54train
52vertigo

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.

23.7%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.0%Spray accuracy
81.1%Counter-strafing
5.9°Preaim
667msReaction time
44.6%T opening success
48.3%CT opening success
0.18Enemies flashed / flash
0.5%Flash assists
11.15HE damage / grenade
1.35Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1783 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0122%29 Sept →
anubis13–50.1924%28 Sept →
cache13–70.0817%28 Sept →
mirage5–130.0034%28 Sept →
mirage5–13-0.0521%28 Sept →
nuke13–30.0923%28 Sept →
nuke13–40.0624%28 Sept →
inferno16–14-0.0118%28 Sept →
dust28–13-0.0330%28 Sept →
nuke6–13-0.0522%28 Sept →
nuke7–13-0.0314%28 Sept →
dust27–130.0528%16 Sept →
anubis13–90.0616%1 Sept →
anubis2–13-0.0518%1 Sept →
cache13–10.0511%31 Aug →
dust213–80.0324%31 Aug →
dust213–30.1129%31 Aug →
mirage3–13-0.0355%31 Aug →
anubis7–130.0230%31 Aug →
cache10–13-0.0025%31 Aug →
dust213–80.0829%31 Aug →
dust211–13-0.0218%31 Aug →
dust20–4-0.0025%31 Aug →
dust213–110.0121%31 Aug →
inferno11–13-0.0016%31 Aug →
inferno11–13-0.0328%31 Aug →
inferno13–00.1239%31 Aug →
dust215–15-0.0325%31 Aug →
dust213–80.1026%27 Aug →
ancient9–13-0.0314%21 Aug →
mirage4–13-0.0214%21 Aug →
mirage13–9-0.1014%21 Aug →
inferno10–13-0.0112%21 Aug →
mirage13–70.0739%21 Aug →
cache6–13-0.0325%21 Aug →
mirage13–50.0626%21 Aug →
mirage2–13-0.0110%21 Aug →
mirage10–130.0324%19 Aug →
anubis7–13-0.0424%19 Aug →
cache1–13-0.0129%19 Aug →
nuke4–13-0.0517%17 Aug →
inferno14–160.0412%17 Aug →
nuke11–130.0135%17 Aug →
dust20–6-0.0430%17 Aug →
train13–10-0.0127%17 Aug →
train1–13-0.0440%17 Aug →
train13–11-0.0431%16 Aug →
dust213–11-0.0526%16 Aug →
mirage13–110.0424%16 Aug →
mirage12–160.0738%16 Aug →
ancient13–50.0628%15 Aug →
mirage11–130.0218%6 Aug →
anubis1–13-0.0516%6 Aug →
anubis13–6-0.0613%6 Aug →
nuke8–13-0.0612%6 Aug →
cache13–110.0717%6 Aug →
mirage5–13-0.0622%6 Aug →
inferno13–100.0320%6 Aug →
nuke11–130.0020%6 Aug →
dust25–13-0.0510%6 Aug →
ancient4–130.0115%6 Aug →
dust211–130.0319%6 Aug →
mirage4–130.0232%6 Aug →
anubis13–20.0518%5 Aug →
cache13–70.0234%5 Aug →
inferno13–80.0232%5 Aug →
dust213–50.1533%5 Aug →
cache13–2-0.0227%5 Aug →
mirage13–7-0.0331%5 Aug →
mirage9–130.0323%5 Aug →
anubis16–140.0411%5 Aug →
dust29–130.0124%5 Aug →
cache7–13-0.0524%5 Aug →
dust213–10-0.0221%4 Aug →
mirage8–130.0125%4 Aug →
dust213–4-0.0119%4 Aug →
dust24–13-0.0738%4 Aug →
mirage3–13-0.0228%4 Aug →
dust28–13-0.0429%4 Aug →
mirage13–110.0218%4 Aug →
cache7–130.0528%4 Aug →
mirage10–130.0616%4 Aug →
nuke7–130.0228%4 Aug →
dust26–130.1130%3 Aug →
inferno3–13-0.075%3 Aug →
dust214–16-0.0318%3 Aug →
mirage13–110.0822%3 Aug →
cache13–70.0515%2 Aug →
mirage15–150.0116%1 Aug →
nuke7–13-0.0230%1 Aug →
dust213–11-0.0531%1 Aug →
inferno13–6-0.0125%1 Aug →
dust213–50.0643%1 Aug →
dust23–130.0530%1 Aug →
cache13–90.0227%30 Jul →
mirage13–80.0216%30 Jul →
inferno13–100.0333%30 Jul →
ancient13–9-0.0914%30 Jul →
dust215–150.0336%30 Jul →
mirage11–130.0624%30 Jul →

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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