VoX

VoX — CS2 Stats

US76561198074065776[U:1:113800048]Steam profile ↗✓ No bans

4,736Tracked matches43%Win rate2021Tracked since
5,845Hours in CS1Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
FaceitLevel 9 · 2,131 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (68 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,131 → 2,131
+50Tracked matches · now 4,736
−17.4ppWin rate · 60.7% → 43.3%

Rating over time

Faceit ELO: 2,131 +0 28 Aug – 31 Aug · 4 observations
2,1312,131peak 2,13128 Aug31 Aug
2,131Highest Faceit ELO seen on CSDB
40Days played since 2026-07-27

Faceit ELO

  • At peak — 2,131
  • Next: 2,500 ELO at 2,500 — 369 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-28
  • Level 9 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate51.6%48.2%50.9%meets
Shot accuracy5.0%13.2%13.7%8.7% short
Kill/death ratio0.921.071.090.16 short
Match win rate38.8%46.9%48.4%9.6% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVoXFACEITLevel 9 · 2,131 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,131csdb.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

Aim66
Positioning69
Utility65

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLLLWLLWLLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −7.6pp headshot accuracy · +83ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 622ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 583ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 541ms

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 (+1.5 against its own average).

Aim6.6
Utility6.5
Positioning6.9
Opening Duels4.7
Clutch3.6

Effective flashes

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

m0NESY

Plays most like m0NESY 76% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

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

Aim6.6
Positioning6.9
Utility6.5
Mechanics5.0
Opening Duels5.5
Win Impact2.8

Composite 5.9/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time518ms−92ms
first ⅓ avg 610ms → last ⅓ avg 518ms
Headshot accuracy23.7%−0.2%
first ⅓ avg 23.9% → last ⅓ avg 23.7%

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.

Personal bests

0.13Best match rating · 12–12 · anubis, 16 Aug →
41%Best headshot accuracy · 13–1 · ancient, 18 Aug →
391msFastest reaction time · 7–13 · ancient, 31 Aug →
13–1Biggest win · ancient, 18 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
7–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 56% over 18nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%-0.00
anubisB2111–1052%0.01
cacheA1810–856%-0.02
ancientA169–756%0.01
nukeD123–925%0.00
inferno—32–167%0.04
dust2—31–233%-0.01
office—10–10%-0.02
vertigo—10–10%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,478Lifetime kills
0.92K/D
8,043Matches
38.8%Match win rate
51.6%Headshot % · Top 50% of Level 9 players
5.0%Shot accuracy
15,942MVPs
5,864Hours (in match)
4,241Bombs planted
1,796Bombs defused

Most-used weapons

AK-4762,717
AWP16,480
P2504,566
MAC-103,590
Knife3,368
MP92,834

Lifetime map wins

9,931inferno
8,140dust2
7,884nuke
3,147vertigo
1,812train
185cbble
140office
26lake

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

Faceit stats

Combat

2,948Matches
49%Win rate
1.02Avg K/D
82.1ADR
55%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage94149%1.0115.7
Anubis52549%1.0616.1
Ancient36653%1.0516.4
Nuke27751%1.0516.2
Inferno24948%1.0315.9
Dust218545%0.9816.0
Vertigo9745%0.9314.5
Overpass9650%1.0115.3

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.

23.5%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.1%Spray accuracy
72.4%Counter-strafing
12.1°Preaim
521msReaction time
51.9%T opening success
52.0%CT opening success
0.76Enemies flashed / flash
10.9%Flash assists
8.55HE damage / grenade
5.60Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0896° — above the 12° mark we flag

    Aim Training →
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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–13-0.0824%27 Oct →
nuke3–13-0.0314%20 Oct →
mirage7–13-0.0816%13 Oct →
inferno13–90.0625%13 Oct →
cache9–13-0.0118%12 Oct →
ancient3–13-0.068%12 Oct →
anubis13–20.0615%6 Oct →
anubis6–13-0.0531%6 Oct →
ancient5–13-0.0534%29 Sept →
cache13–6-0.0413%18 Sept →
anubis7–13-0.0331%17 Sept →
nuke9–130.0638%9 Sept →
ancient8–13-0.0822%9 Sept →
cache13–6-0.0028%8 Sept →
mirage9–130.0520%8 Sept →
cache11–13-0.0833%8 Sept →
cache13–100.0625%8 Sept →
ancient5–130.0129%7 Sept →
anubis8–130.0224%7 Sept →
anubis13–16-0.0223%7 Sept →
anubis13–90.0117%7 Sept →
mirage13–80.0333%5 Sept →
anubis13–11-0.0223%5 Sept →
ancient16–120.0118%3 Sept →
anubis13–70.0123%3 Sept →
dust29–13-0.0218%2 Sept →
mirage13–10-0.0218%2 Sept →
ancient13–6-0.0120%2 Sept →
anubis13–110.0239%2 Sept →
nuke9–13-0.0421%2 Sept →
ancient7–130.0325%31 Aug →
anubis3–10-0.0338%28 Aug →
mirage13–90.0624%25 Aug →
mirage13–11-0.0319%25 Aug →
anubis13–80.0321%25 Aug →
cache22–18-0.0220%24 Aug →
ancient13–90.0114%23 Aug →
cache3–13-0.0533%22 Aug →
mirage8–13-0.0319%21 Aug →
mirage13–4-0.0518%18 Aug →
ancient13–10.0241%18 Aug →
ancient9–13-0.0122%17 Aug →
anubis13–80.0226%17 Aug →
anubis6–13-0.0420%17 Aug →
mirage16–140.0222%17 Aug →
mirage7–13-0.0313%17 Aug →
mirage19–160.0524%16 Aug →
office12–12-0.0220%16 Aug →
ancient13–40.1231%16 Aug →
nuke11–13-0.0333%16 Aug →
anubis12–120.1327%16 Aug →
cache10–13-0.0420%15 Aug →
nuke16–14-0.0230%15 Aug →
mirage13–110.0427%14 Aug →
anubis13–60.1130%14 Aug →
mirage5–13-0.0218%12 Aug →
anubis5–130.0127%12 Aug →
dust213–40.0736%11 Aug →
cache16–120.0125%10 Aug →
anubis13–60.0121%10 Aug →
cache13–70.0234%10 Aug →
nuke13–40.0532%10 Aug →
ancient13–70.0622%9 Aug →
anubis13–100.0318%9 Aug →
mirage13–30.0718%9 Aug →
ancient19–160.0819%9 Aug →
mirage14–16-0.0114%8 Aug →
nuke13–16-0.0136%7 Aug →
cache8–13-0.0316%7 Aug →
mirage7–130.0020%7 Aug →
dust28–13-0.0635%7 Aug →
mirage9–13-0.0220%6 Aug →
mirage13–7-0.0125%6 Aug →
inferno10–130.0328%6 Aug →
mirage13–90.0521%6 Aug →
mirage10–130.0121%6 Aug →
cache11–13-0.0628%6 Aug →
nuke5–13-0.0316%4 Aug →
ancient13–9-0.0124%4 Aug →
nuke8–130.0327%4 Aug →
mirage16–13-0.0127%3 Aug →
cache13–6-0.0131%3 Aug →
anubis13–5-0.0018%3 Aug →
cache6–130.0123%3 Aug →
nuke7–13-0.0230%1 Aug →
anubis13–160.0120%1 Aug →
vertigo9–130.0022%31 Jul →
mirage5–13-0.0720%31 Jul →
ancient13–30.0516%30 Jul →
nuke13–40.0914%30 Jul →
anubis9–13-0.0226%30 Jul →
mirage10–13-0.0722%30 Jul →
cache16–130.0124%29 Jul →
inferno13–110.0331%29 Jul →
mirage13–60.0118%29 Jul →
cache13–8-0.0231%27 Jul →
ancient7–130.0031%27 Jul →
cache13–90.0430%27 Jul →
nuke11–130.0124%27 Jul →
mirage5–13-0.0415%27 Jul →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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