vitix

vitix — CS2 Stats

HU76561198121572851[U:1:161307123]Steam profile ↗✓ No bans

1,174Tracked matches50%Win rate2020Tracked since
2,712Hours in CS39Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating18,904Top 50% of 213,399 CSDB-tracked playersPurple band · top ~12.9% of ranked players (population est.)
FaceitLevel 9Top 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 Oct 2026 (5 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: 18,904 +654 10 Sept – 31 Oct · 10 days played
17,70818,904peak 18,90410 Sept31 Oct
18,904Peak Premier in tracked matches
41Days played since 2026-09-09

Premier CS Rating

  • At peak — 18,904
  • Next: Pink band at 20,000 — 1,096 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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 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 rate40.2%48.2%50.9%10.8% short
Shot accuracy7.4%13.2%13.7%6.3% short
Kill/death ratio1.061.071.090.02 short
Match win rate49.3%46.9%48.4%meets

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.GGvitixFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER18,904 · Purple 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

Aim64
Positioning68
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateWLWWLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +2.1pp headshot accuracy · −43ms 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 -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 539ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 568ms

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).

Aim6.4
Utility7.8
Positioning6.8
Opening Duels4.9
Clutch3.2

Effective flashesHigh utility contribution

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 69% 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

T openings. 65% T opening-duel success — entries that actually open the round.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 65% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 584ms 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

Aim6.4
Positioning6.8
Utility7.8
Mechanics5.4
Opening Duels6.5
Win Impact5.0

Composite 6.4/10 (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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time598ms+12ms
first ⅓ avg 586ms → last ⅓ avg 598ms
Headshot accuracy18.4%−2.9%
first ⅓ avg 21.3% → last ⅓ avg 18.4%

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

0.17Best match rating · 9–2 · vertigo, 18 Sept →
39%Best headshot accuracy · 9–4 · poseidon, 13 Sept →
406msFastest reaction time · 9–2 · vertigo, 18 Sept →
13–1Biggest win · mirage, 31 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 69% over 13nukeWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC4118–2344%0.01
infernoB189–950%0.03
dust2S139–469%0.02
nukeC114–736%0.03
ancientC104–640%0.01
cache—33–0100%0.02
office—10–10%-0.02
vertigo—11–0100%0.17
anubis—11–0100%0.08
poseidon—11–0100%0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,390Lifetime kills
1.06K/D
3,440Matches
49.3%Match win rate · Top 50% of Level 9 players
40.2%Headshot %
7.4%Shot accuracy
9,221MVPs
1,458Hours (in match)
3,517Bombs planted
1,487Bombs defused

Most-used weapons

AK-4718,357
AWP8,497
SSG 081,978
MP91,589
MAC-101,294
SG 5531,225

Lifetime map wins

7,667inferno
3,217dust2
2,896nuke
694office
618vertigo
379train
179lake
106cbble

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

Faceit stats

Combat

299Matches
54%Win rate
1.31Avg K/D
88.5ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12456%1.3518.0
Inferno5450%1.2918.3
Dust24356%1.2917.2
Ancient3751%1.2916.4
Nuke3148%1.2317.9
Cache771%1.3019.7
Anubis367%1.3621.7

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.

18.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.7%Spray accuracy
74.3%Counter-strafing
10.4°Preaim
584msReaction time
64.6%T opening success
47.2%CT opening success
0.74Enemies flashed / flash
10.2%Flash assists
10.72HE damage / grenade
16.63Flashes / match

Recommended for you

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–140.0228%4 Nov →
mirage11–13-0.0326%3 Nov →
mirage13–100.0112%3 Nov →
ancient13–9-0.029%3 Nov →
mirage6–13-0.0512%2 Nov →
dust29–130.0717%2 Nov →
inferno7–13-0.0216%2 Nov →
inferno11–130.0422%2 Nov →
mirage13–40.0320%2 Nov →
inferno13–80.0530%2 Nov →
dust213–80.0825%1 Nov →
mirage7–13-0.066%1 Nov →
mirage8–130.0225%1 Nov →
inferno11–130.0711%31 Oct →
mirage13–10.1220%31 Oct →
cache13–80.0216%31 Oct →
ancient11–130.0110%30 Oct →
mirage13–80.0722%30 Oct →
dust219–15-0.0119%30 Oct →
nuke13–5-0.0017%29 Oct →
mirage10–130.0218%29 Oct →
cache13–100.0311%29 Oct →
ancient14–160.0328%28 Oct →
mirage13–60.0326%27 Oct →
nuke13–110.1317%27 Oct →
mirage13–40.0429%27 Oct →
dust210–13-0.0017%27 Oct →
mirage14–160.0816%27 Oct →
inferno10–130.0715%26 Oct →
ancient6–13-0.0819%26 Oct →
dust28–13-0.0913%26 Oct →
inferno5–13-0.0318%26 Oct →
mirage13–60.0519%26 Oct →
mirage13–110.0326%26 Oct →
mirage6–13-0.0317%25 Oct →
mirage13–16-0.0120%23 Oct →
dust213–80.0113%23 Oct →
nuke10–130.0713%23 Oct →
office10–13-0.0218%22 Oct →
dust213–100.1116%22 Oct →
inferno13–100.0821%22 Oct →
mirage13–160.0321%22 Oct →
mirage13–110.0423%21 Oct →
ancient13–110.0617%21 Oct →
dust213–70.0230%20 Oct →
nuke14–160.0121%18 Oct →
cache13–90.017%17 Oct →
mirage8–130.0115%16 Oct →
inferno3–130.039%16 Oct →
mirage6–130.0715%15 Oct →
mirage18–22-0.0411%15 Oct →
ancient3–13-0.039%14 Oct →
mirage13–4-0.0013%13 Oct →
mirage4–130.0211%13 Oct →
inferno13–40.0116%13 Oct →
mirage6–13-0.0511%12 Oct →
nuke13–30.0817%11 Oct →
mirage13–7-0.0710%9 Oct →
dust28–13-0.0327%8 Oct →
dust213–50.1128%6 Oct →
nuke6–130.0012%6 Oct →
mirage6–13-0.0423%5 Oct →
mirage13–160.0121%4 Oct →
ancient16–120.0711%24 Sept →
inferno7–13-0.0013%21 Sept →
mirage13–110.0322%21 Sept →
nuke13–70.0323%20 Sept →
mirage15–19-0.0116%19 Sept →
mirage11–130.0512%18 Sept →
inferno9–50.0717%18 Sept →
vertigo9–20.1736%18 Sept →
inferno3–9-0.0721%18 Sept →
anubis13–50.0821%18 Sept →
mirage12–20.0225%18 Sept →
dust213–80.0713%17 Sept →
mirage13–30.0726%17 Sept →
mirage7–130.0414%17 Sept →
mirage13–10.1627%16 Sept →
mirage5–130.0120%15 Sept →
mirage13–11-0.0216%15 Sept →
mirage12–16-0.0219%15 Sept →
inferno13–80.0416%15 Sept →
nuke7–130.0322%14 Sept →
mirage3–13-0.0623%13 Sept →
nuke4–130.0313%13 Sept →
ancient13–40.1321%13 Sept →
inferno13–90.1028%13 Sept →
inferno1–13-0.0921%13 Sept →
poseidon9–40.0639%13 Sept →
inferno9–40.1231%13 Sept →
mirage19–17-0.0127%11 Sept →
dust213–11-0.0420%11 Sept →
ancient8–13-0.0418%11 Sept →
inferno13–70.008%11 Sept →
mirage13–70.0622%10 Sept →
mirage4–13-0.0333%10 Sept →
nuke5–13-0.0519%10 Sept →
ancient5–13-0.0118%10 Sept →
nuke14–16-0.0414%9 Sept →
dust216–13-0.0028%9 Sept →

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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