Voz1nha — CS2 Stats

76561197971334826[U:1:11069098]

1,431Tracked matches38%Win rate2020Tracked since
1,757Hours in CS
CSDB Rating3.0 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), 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 2 medianLevel 3 medianvs Level 3
Headshot rate48.2%41.2%42.2%above
Shot accuracy8.9%12.5%11.9%3.0% short
Kill/death ratio0.860.960.980.12 short
Match win rate43.5%42.8%43.6%meets

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVoz1nhaFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning41
Utility31

0–100 skill scores via Leetify.

Recent form

COLD41536Last 10041%Win rateWLTLLLLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.6
Aggression4.1
Utility3.1
Positioning4.1
Opening Duels0.7
Clutch2.6

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. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning4.1
Utility3.1
Mechanics3.1
Opening Duels0.7
Win Impact1.0

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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time633ms−20ms
first ⅓ avg 653ms → last ⅓ avg 633ms
Headshot accuracy23.6%+2.8%
first ⅓ avg 20.8% → last ⅓ avg 23.6%

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.

Highlights

0.12Best rating — inferno 13–5
131Biggest win — vertigo
5Longest win streak
59In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C2191243%-0.01
infernoC1971237%-0.01
nukeD1541127%-0.00
cacheD124833%-0.01
ancientA95456%-0.01
anubisS97278%-0.01
vertigoC73443%-0.03
train31233%0.02
mirage2020%-0.02
office1010%-0.08
overpass110100%0.04
warden1010%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,644Lifetime kills
0.86K/D
4,054Matches
43.5%Match win rate · Top 50% of Level 2 players
48.2%Headshot % · Top 25% of Level 2 players
8.9%Shot accuracy
7,485MVPs
1,757Hours (in match)
7,062Bombs planted
919Bombs defused

Most-used weapons

AK-4713,908
AWP5,430
MP73,924
UMP-452,644
MAG-72,404
P2501,989

Lifetime map wins

14,501dust2
5,169inferno
4,300nuke
853vertigo
756train
347office
346italy
316cbble

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

Faceit stats

Combat

111Matches
51%Win rate
0.78Avg K/D
69.3ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1283%0.6110.2
Inferno933%0.558.3
Nuke743%0.7514.3
Dust2650%0.7012.8
Mirage425%0.5810.8
Ancient450%0.6510.8
Vertigo367%0.6916.0
Overpass20%0.508.5

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.

23.1%Headshot accuracy
27.9%Accuracy (enemy spotted)
26.4%Spray accuracy
63.9%Counter-strafing
11.4°Preaim
627msReaction time
30.6%T opening success
35.3%CT opening success
0.26Enemies flashed / flash
4.5%Flash assists
7.32HE damage / grenade
3.67Flashes / 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 0.2622 — below the 0.5 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 30.5904% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–60.0238%3 Aug
inferno3–13-0.0733%3 Aug
cache12–12-0.0225%1 Aug
dust210–130.0828%31 Jul
nuke7–130.0513%31 Jul
inferno8–13-0.0313%31 Jul
ancient4–13-0.0211%31 Jul
office8–13-0.0817%31 Jul
inferno4–13-0.0635%31 Jul
cache13–10-0.0732%31 Jul
vertigo5–13-0.0619%31 Jul
dust27–13-0.0333%31 Jul
ancient13–40.0623%31 Jul
nuke6–13-0.0028%29 Jul
dust210–13-0.0619%29 Jul
dust212–50.0621%20 Jul
inferno13–90.0319%19 Jul
cache10–13-0.0526%19 Jul
ancient9–130.0715%19 Jul
dust213–7-0.0125%19 Jul
dust211–13-0.1031%15 Jul
nuke11–13-0.0116%5 Jul
ancient13–4-0.0528%5 Jul
inferno13–11-0.0117%4 Jul
dust213–5-0.0115%4 Jul
anubis13–8-0.0314%4 Jul
nuke10–130.0524%3 Jul
inferno13–9-0.0127%1 Jul
ancient8–13-0.0419%30 Jun
nuke5–13-0.0232%30 Jun
dust210–13-0.0423%29 Jun
cache12–120.0442%27 Jun
anubis13–9-0.0316%26 Jun
cache9–13-0.0431%26 Jun
nuke13–70.0629%25 Jun
dust24–13-0.0032%25 Jun
mirage14–16-0.0224%25 Jun
cache13–90.0429%24 Jun
dust215–15-0.0328%24 Jun
nuke13–60.0120%18 Jun
train10–13-0.0225%18 Jun
dust216–14-0.0121%17 Jun
nuke11–13-0.0340%17 Jun
ancient13–70.0525%17 Jun
inferno10–13-0.0624%16 Jun
dust27–13-0.0524%16 Jun
inferno11–130.0117%15 Jun
inferno5–13-0.0324%15 Jun
nuke11–13-0.0433%15 Jun
nuke3–130.0033%15 Jun
nuke15–150.0126%14 Jun
anubis13–110.0131%14 Jun
dust213–100.0327%14 Jun
inferno6–13-0.0911%14 Jun
anubis13–10-0.0523%14 Jun
inferno16–130.0221%14 Jun
cache12–12-0.0120%10 Jun
inferno4–13-0.0219%10 Jun
inferno13–50.1229%10 Jun
dust212–16-0.0522%9 Jun
train13–30.1123%9 Jun
vertigo13–10.0731%9 Jun
dust28–130.0129%9 Jun
cache9–13-0.0520%9 Jun
overpass13–80.0422%8 Jun
anubis11–13-0.0526%7 Jun
inferno5–130.0723%7 Jun
ancient2–13-0.0515%7 Jun
cache10–13-0.0125%7 Jun
warden2–13-0.0520%7 Jun
vertigo8–13-0.0519%7 Jun
train3–13-0.0216%7 Jun
cache13–90.0931%7 Jun
anubis13–4-0.0124%6 Jun
dust213–7-0.0315%6 Jun
nuke13–7-0.0228%6 Jun
inferno13–60.1029%6 Jun
mirage7–13-0.0123%6 Jun
ancient13–8-0.0120%6 Jun
vertigo13–7-0.0426%4 Jun
dust213–3-0.0315%4 Jun
anubis5–40.0627%4 Jun
vertigo3–13-0.0326%3 Jun
anubis9–130.0413%3 Jun
dust28–13-0.0021%3 Jun
vertigo0–8-0.0417%3 Jun
inferno15–150.0424%2 Jun
nuke6–13-0.0914%2 Jun
ancient13–8-0.0715%2 Jun
dust29–13-0.0423%1 Jun
cache13–50.058%1 Jun
anubis13–7-0.069%1 Jun
inferno3–13-0.0833%31 May
cache11–13-0.0821%31 May
nuke13–9-0.0219%30 May
inferno13–11-0.0525%29 May
dust213–60.0727%29 May
nuke11–130.0329%29 May
inferno3–13-0.0916%29 May
vertigo13–5-0.0513%29 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 →