VitoX

VitoX — CS2 Stats

76561198325540751[U:1:365275023]Steam profile ↗✓ No bans

1,100Tracked matches47%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating11,494Blue band · top ~47% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (4 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: 11,494 +2,272 3 Jun – 2 Oct · 21 days played
8,41311,594peak 11,5943 Jun2 Oct
11,594Peak Premier in tracked matches
35Days played since 2026-06-03

Premier CS Rating

  • 100 below peak (11,594)
  • +3,081 over 90 days
  • Next: Purple band at 15,000 — 3,506 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.

Share this profile

CSDB.GGVitoXFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER11,494 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning48
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY39–56–5Last 10039%Win rateWWWLLLWWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.3pp headshot accuracy · +34ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 556ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 572ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 555ms

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 (+2.1 against its own average).

Aim6.1
Utility6.3
Positioning4.8
Opening Duels1.4

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

Twistzz

Plays most like Twistzz 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 51% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 554ms 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

Aim6.1
Positioning4.8
Utility6.3
Mechanics4.9
Opening Duels3.0
Win Impact3.9

Composite 4.9/10 (Developing), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time564ms−43ms
first ⅓ avg 607ms → last ⅓ avg 564ms
Headshot accuracy12.1%−3.1%
first ⅓ avg 15.2% → last ⅓ avg 12.1%

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

0.21Best match rating · 9–2 · inferno, 9 Sept →
38%Best headshot accuracy · 3–13 · ancient, 21 Aug →
422msFastest reaction time · 12–3 · inferno, 17 Sept →
13–2Biggest win · dust2, 18 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
3–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 55% over 22dust2Weakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA2212–1055%-0.01
infernoB2211–1150%-0.02
ancientD155–1033%-0.03
cacheC135–838%-0.03
dust2D101–910%-0.02
mirageB84–450%0.00
vertigo—41–325%-0.07
overpass—30–30%-0.03
anubis—10–10%-0.04
poseidon—10–10%-0.10
eldorado—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy
35.8%Accuracy (enemy spotted)
41.1%Spray accuracy
72.2%Counter-strafing
10.8°Preaim
554msReaction time
51.2%T opening success
32.6%CT opening success
0.57Enemies flashed / flash
7.3%Flash assists
10.64HE damage / grenade
8.22Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.324% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 32.5975% — below the 40% mark we flag

Spend your practice time on Dust 2

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

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.039%2 Oct →
mirage13–40.078%1 Oct →
nuke13–100.028%30 Sept →
nuke9–13-0.044%29 Sept →
dust24–13-0.0436%29 Sept →
cache6–13-0.086%29 Sept →
mirage13–4-0.022%28 Sept →
ancient13–40.048%28 Sept →
mirage3–13-0.0731%28 Sept →
ancient13–100.0614%26 Sept →
cache13–10-0.0113%25 Sept →
cache13–7-0.0017%25 Sept →
mirage5–13-0.0411%25 Sept →
ancient10–13-0.0410%18 Sept →
nuke13–40.057%18 Sept →
inferno13–100.0119%18 Sept →
dust213–2-0.0210%18 Sept →
mirage11–130.0715%18 Sept →
inferno12–30.0614%17 Sept →
ancient16–120.0113%16 Sept →
dust27–130.0215%14 Sept →
dust23–130.036%14 Sept →
nuke5–130.0716%14 Sept →
nuke13–20.0516%11 Sept →
inferno7–13-0.0513%11 Sept →
anubis5–13-0.047%11 Sept →
nuke5–13-0.047%11 Sept →
dust211–13-0.037%11 Sept →
ancient2–13-0.048%9 Sept →
dust211–13-0.0520%9 Sept →
inferno6–9-0.104%9 Sept →
nuke16–13-0.0412%9 Sept →
poseidon5–9-0.1013%9 Sept →
inferno9–20.2122%9 Sept →
nuke10–130.0112%5 Sept →
nuke9–130.018%5 Sept →
mirage9–130.0415%5 Sept →
inferno4–13-0.1017%5 Sept →
nuke11–130.0012%5 Sept →
ancient5–13-0.057%5 Sept →
ancient15–15-0.0314%21 Aug →
ancient3–13-0.0238%21 Aug →
vertigo5–9-0.0826%21 Aug →
inferno9–60.0729%21 Aug →
ancient16–13-0.018%20 Aug →
nuke13–9-0.016%7 Aug →
eldorado8–8-0.1413%7 Aug →
inferno3–9-0.0316%7 Aug →
vertigo3–9-0.1119%7 Aug →
inferno11–130.029%11 Jul →
nuke9–60.0416%11 Jul →
inferno13–5-0.0316%9 Jul →
cache13–4-0.0218%9 Jul →
nuke13–8-0.0411%9 Jul →
ancient8–13-0.0711%8 Jul →
vertigo13–11-0.0115%8 Jul →
nuke9–3-0.034%8 Jul →
cache7–13-0.036%8 Jul →
cache8–13-0.0512%7 Jul →
mirage13–90.0216%7 Jul →
cache6–130.019%7 Jul →
nuke9–4-0.0730%6 Jul →
cache13–30.0213%6 Jul →
ancient7–13-0.1118%4 Jul →
overpass4–13-0.0811%3 Jul →
inferno7–13-0.0713%3 Jul →
ancient13–10-0.093%2 Jul →
inferno7–13-0.0419%2 Jul →
overpass11–13-0.0317%2 Jul →
inferno13–70.0016%1 Jul →
nuke13–60.0214%1 Jul →
nuke10–13-0.0215%1 Jul →
overpass3–130.0216%1 Jul →
inferno16–12-0.028%1 Jul →
ancient9–130.019%28 Jun →
ancient15–15-0.0912%28 Jun →
nuke7–130.0116%23 Jun →
cache7–13-0.0818%23 Jun →
inferno8–13-0.0720%17 Jun →
nuke3–13-0.1014%17 Jun →
nuke13–10-0.0310%16 Jun →
inferno13–11-0.044%16 Jun →
cache2–13-0.0525%16 Jun →
dust22–13-0.0711%14 Jun →
dust25–13-0.0532%14 Jun →
cache7–13-0.0319%12 Jun →
cache12–12-0.0120%12 Jun →
dust212–160.036%12 Jun →
nuke13–8-0.0311%12 Jun →
inferno13–10-0.0315%12 Jun →
nuke13–16-0.0211%12 Jun →
vertigo12–12-0.086%9 Jun →
inferno6–13-0.0517%9 Jun →
cache13–3-0.0119%9 Jun →
inferno13–10-0.0413%4 Jun →
inferno9–13-0.0314%4 Jun →
dust26–13-0.0523%3 Jun →
ancient11–13-0.074%3 Jun →
inferno13–6-0.0219%3 Jun →
inferno11–13-0.0426%3 Jun →

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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