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Voidhunter-GG

Voidhunter-GG — CS2 Stats

76561199065359156[U:1:1105093428]Steam profile ↗✓ No bans

869Tracked matches31%Win rate2020Tracked since
2,222Hours in CS104Hrs last 2 wks
CSDB Rating2.6 LearningClutch Specialist
Premier CS Rating3,548Grey band · top ~85% of ranked players (population est.)
CSDB Leaderboard#196120 of 248067 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (yesterday). 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: 3,548 -5,698 27 Aug – 2 Oct · 21 days played
3,10710,162peak 10,16227 Aug2 Oct
10,592Peak Premier in tracked matches
22Days played since 2026-08-27

Premier CS Rating

  • 6,614 below peak (10,162)
  • -5,504 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,452 to go
  • Reached: Blue band · Light Blue band

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 2 among CSDB-tracked players (n=5,923), 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 rate46.8%41.3%41.8%above
Shot accuracy18.6%12.7%12.2%above
Kill/death ratio0.980.950.98meets
Match win rate34.7%42.6%43.3%8.6% short

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

Widest gap: Match win rate. 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.GGVoidhunter-GGFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER3,548 · Grey 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

Aim32
Positioning40
Utility10

0–100 skill scores via Leetify.

Recent form

COLD28–70–2Last 10028%Win rateLLWWLLLLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −2.8pp headshot accuracy · +7ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 11%
  • Avg reaction 803ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 777ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 774ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim3.2
Utility1.0
Positioning4.0
Opening Duels0.0
Clutch4.4

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

iM

Plays most like iM 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 50% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 734ms 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

Aim3.2
Positioning4.0
Utility1.0
Mechanics4.6
Opening Duels2.5
Win Impact0.0

Composite 2.6/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time738ms+108ms
first ⅓ avg 630ms → last ⅓ avg 738ms
Headshot accuracy17.0%−1.5%
first ⅓ avg 18.5% → last ⅓ avg 17.0%

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

0.14Best match rating · 13–11 · mirage, 27 Aug →
48%Best headshot accuracy · 13–11 · dust2, 29 Sept →
359msFastest reaction time · 13–11 · mirage, 27 Aug →
13–1Biggest win · nuke, 19 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 41% over 22ancientWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC229–1341%-0.05
dust2D195–1426%-0.05
anubisD144–1029%-0.06
nukeD144–1029%-0.04
infernoD92–722%-0.04
ancientD80–80%-0.05
cacheC83–538%-0.06
vertigo—20–20%-0.13
italy—10–10%-0.00
boulder—10–10%-0.10
train—11–0100%-0.09
office—10–10%-0.13

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,726Lifetime kills
0.98K/D · Top 50% of Level 2 players
2,510Matches
34.7%Match win rate
46.8%Headshot % · Top 25% of Level 2 players
18.6%Shot accuracy · Top 10% of Level 2 players
4,637MVPs
1,151Hours (in match)
1,549Bombs planted
552Bombs defused

Most-used weapons

AWP11,582
AK-479,004
M4A4 / M4A1-S7,433
Desert Eagle5,531
SSG 082,632
P2000 / USP-S2,551
Glock-182,029
Galil AR1,342
AUG1,025
FAMAS797

Lifetime map wins

6,992dust2
2,700inferno
1,249nuke
881vertigo
663train
122lake
108office
27italy

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

Faceit stats

Combat

21Matches
33%Win rate
0.72Avg K/D
62.0ADR
40%Headshot %

Clutches & streaks

42%1v1 clutch win
9%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno729%0.679.3
Dust250%0.7511.8
Mirage580%0.8613.2
Overpass20%0.6613.0
Train10%0.7814.0

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.

17.7%Headshot accuracy
28.0%Accuracy (enemy spotted)
27.7%Spray accuracy
70.8%Counter-strafing
9.5°Preaim
734msReaction time
50.4%T opening success
29.6%CT opening success
0.13Enemies flashed / flash
0.0%Flash assists
4.17HE damage / grenade
0.64Flashes / 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 733.6316ms — 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 0.1264 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.6364% — below the 40% mark we flag

Spend your practice time on Ancient

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

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.1029%2 Oct →
mirage2–13-0.130%2 Oct →
anubis13–11-0.083%2 Oct →
nuke16–14-0.068%2 Oct →
nuke4–13-0.0714%1 Oct →
italy7–13-0.0010%1 Oct →
mirage9–13-0.0425%1 Oct →
anubis3–13-0.0316%1 Oct →
mirage10–13-0.0420%1 Oct →
inferno13–6-0.0310%1 Oct →
anubis12–12-0.0611%29 Sept →
dust23–13-0.0529%29 Sept →
vertigo6–13-0.080%29 Sept →
ancient1–13-0.098%29 Sept →
dust213–11-0.0248%29 Sept →
ancient4–13-0.076%29 Sept →
nuke13–7-0.0219%29 Sept →
anubis13–10-0.0419%28 Sept →
anubis9–13-0.0810%28 Sept →
cache4–13-0.0713%28 Sept →
dust216–120.0424%28 Sept →
cache13–5-0.0217%28 Sept →
ancient11–13-0.0223%26 Sept →
inferno10–13-0.0922%26 Sept →
anubis10–13-0.0424%26 Sept →
cache10–13-0.0919%26 Sept →
anubis11–130.0124%26 Sept →
dust211–13-0.0216%26 Sept →
dust213–60.0024%26 Sept →
cache11–13-0.0427%26 Sept →
anubis11–13-0.0624%25 Sept →
anubis12–12-0.105%25 Sept →
boulder11–13-0.1016%24 Sept →
train13–6-0.097%24 Sept →
vertigo3–9-0.190%24 Sept →
mirage4–13-0.0623%24 Sept →
mirage13–4-0.0829%24 Sept →
nuke6–130.0129%24 Sept →
nuke11–2-0.0410%23 Sept →
mirage1–8-0.0314%23 Sept →
mirage13–10-0.0232%23 Sept →
ancient11–13-0.083%23 Sept →
dust24–13-0.0418%23 Sept →
anubis6–130.0425%23 Sept →
mirage13–8-0.1011%23 Sept →
inferno11–13-0.0835%22 Sept →
dust21–13-0.0613%22 Sept →
nuke7–13-0.0811%22 Sept →
nuke9–13-0.0615%22 Sept →
nuke5–13-0.0511%21 Sept →
dust27–13-0.038%21 Sept →
dust25–13-0.0526%21 Sept →
mirage8–13-0.0713%20 Sept →
office4–13-0.1311%20 Sept →
anubis8–13-0.114%20 Sept →
ancient2–13-0.0821%20 Sept →
cache5–13-0.0740%20 Sept →
nuke4–13-0.0516%20 Sept →
mirage13–11-0.0513%19 Sept →
cache1–13-0.0715%19 Sept →
ancient6–130.0327%19 Sept →
nuke13–1-0.0414%19 Sept →
mirage2–13-0.1116%19 Sept →
dust26–130.0112%19 Sept →
inferno6–130.0447%19 Sept →
anubis4–13-0.0917%19 Sept →
mirage2–13-0.0715%19 Sept →
nuke11–130.1314%19 Sept →
ancient10–13-0.0111%17 Sept →
cache16–13-0.1014%17 Sept →
nuke8–13-0.0819%17 Sept →
nuke4–13-0.1017%17 Sept →
anubis13–9-0.089%17 Sept →
inferno6–13-0.089%17 Sept →
dust22–13-0.0413%17 Sept →
dust27–13-0.0534%17 Sept →
dust27–130.0020%16 Sept →
mirage10–13-0.1014%16 Sept →
dust213–5-0.0942%15 Sept →
mirage5–13-0.0523%15 Sept →
dust23–13-0.099%15 Sept →
mirage13–10-0.0313%15 Sept →
inferno5–13-0.1220%15 Sept →
inferno5–13-0.0521%14 Sept →
nuke7–13-0.0412%14 Sept →
mirage8–13-0.0726%14 Sept →
mirage13–9-0.0430%13 Sept →
mirage5–13-0.0815%13 Sept →
inferno7–13-0.0421%13 Sept →
ancient9–13-0.0813%12 Sept →
dust29–13-0.0626%12 Sept →
cache2–1-0.020%12 Sept →
dust213–4-0.1118%12 Sept →
mirage3–13-0.0915%11 Sept →
anubis13–4-0.0912%11 Sept →
mirage16–13-0.0917%11 Sept →
dust27–13-0.1421%11 Sept →
inferno13–110.1325%29 Aug →
mirage13–30.1130%28 Aug →
mirage13–110.1430%27 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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