Arvix

Arvix — CS2 Stats

76561197978452253[U:1:18186525]Steam profile ↗✓ No bans

1,451Tracked matches37%Win rate2020Tracked since
CSDB Rating3.1 LearningPositional Player
Premier CS Rating3,938Grey band · top ~83.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (3 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: 3,938 -6,341 26 Jul – 26 Oct · 50 days played
3,93810,279peak 10,27926 Jul26 Oct
10,826Peak Premier in tracked matches
50Days played since 2026-07-26

Premier CS Rating

  • 6,341 below peak (10,279)
  • -1,078 over 30 days · declining
  • -6,061 over 90 days
  • Next: Light Blue band at 5,000 — 1,062 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.GGArvixFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER3,938 · Grey bandcsdb.gg/stats

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Performance scores

Aim38
Positioning55
Utility7

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateLWLLLWLLLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · +5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 675ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 660ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 657ms

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 (+3.2 against its own average).

Aim3.8
Utility0.7
Positioning5.5
Opening Duels3.1
Clutch0.0

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

donk

Plays most like donk 75% playstyle similarity

Most alike: positioning profile, 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 652ms 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

Aim3.8
Positioning5.5
Utility0.7
Mechanics4.7
Opening Duels2.9
Win Impact0.6

Composite 3.1/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time657ms+1ms
first ⅓ avg 656ms → last ⅓ avg 657ms
Headshot accuracy14.0%−1.5%
first ⅓ avg 15.5% → last ⅓ avg 14.0%

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

0.10Best match rating · 13–7 · mirage, 23 Oct →
32%Best headshot accuracy · 13–1 · dust2, 19 Sept →
469msFastest reaction time · 7–13 · ancient, 5 Oct →
13–0Biggest win · mirage, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 55% over 31ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3117–1455%-0.01
dust2B2613–1350%-0.00
infernoC125–742%-0.01
nukeD124–833%-0.02
ancientD71–614%-0.03
anubisD72–529%-0.01
cacheD51–420%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
20%Win rate
0.76Avg K/D
73.4ADR
38%Headshot %

Clutches & streaks

17%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage520%0.7112.4
Dust2250%1.0418.5
Train10%0.5511.0
Vertigo10%0.9521.0

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.

14.2%Headshot accuracy
31.7%Accuracy (enemy spotted)
34.0%Spray accuracy
71.2%Counter-strafing
11.9°Preaim
652msReaction time
40.9%T opening success
42.1%CT opening success
0.05Enemies flashed / flash
0.0%Flash assists
3.93HE damage / grenade
0.08Flashes / 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 14.1708% — below the 15% 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 0.0481 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.0117%26 Oct →
dust213–8-0.099%25 Oct →
dust24–13-0.0210%25 Oct →
ancient11–13-0.0216%25 Oct →
inferno7–130.0616%24 Oct →
mirage13–70.1013%23 Oct →
mirage5–13-0.0411%23 Oct →
inferno7–13-0.049%23 Oct →
anubis9–13-0.0213%21 Oct →
mirage10–130.0313%21 Oct →
dust210–130.0319%20 Oct →
inferno11–13-0.0124%18 Oct →
cache6–13-0.0114%15 Oct →
anubis13–40.1027%15 Oct →
nuke7–13-0.076%15 Oct →
mirage16–14-0.0114%15 Oct →
ancient2–13-0.069%15 Oct →
nuke13–8-0.049%15 Oct →
mirage7–13-0.067%15 Oct →
mirage13–30.0420%14 Oct →
nuke9–130.0122%14 Oct →
cache13–11-0.063%13 Oct →
nuke1–13-0.087%13 Oct →
mirage13–100.027%11 Oct →
mirage6–13-0.1021%8 Oct →
anubis13–110.0411%7 Oct →
dust216–14-0.027%6 Oct →
dust210–130.0026%6 Oct →
inferno13–90.0022%6 Oct →
ancient7–13-0.0725%5 Oct →
mirage13–10-0.094%5 Oct →
mirage13–9-0.019%5 Oct →
dust213–30.0522%5 Oct →
mirage5–13-0.089%4 Oct →
nuke10–13-0.0129%4 Oct →
nuke13–11-0.0115%4 Oct →
dust29–130.0611%3 Oct →
dust24–13-0.0127%3 Oct →
dust28–13-0.0316%1 Oct →
nuke10–13-0.0315%30 Sept →
inferno9–130.0113%29 Sept →
ancient9–13-0.056%29 Sept →
mirage13–00.0813%29 Sept →
dust213–100.0428%29 Sept →
dust216–13-0.027%28 Sept →
mirage6–13-0.049%27 Sept →
dust29–13-0.0221%25 Sept →
mirage15–15-0.0315%24 Sept →
mirage13–80.0418%24 Sept →
dust25–13-0.039%23 Sept →
mirage13–9-0.0117%22 Sept →
mirage11–130.0218%22 Sept →
anubis6–13-0.048%22 Sept →
inferno14–16-0.0620%21 Sept →
mirage12–16-0.0723%21 Sept →
cache5–13-0.0119%20 Sept →
mirage13–110.0028%20 Sept →
mirage16–140.027%19 Sept →
dust213–10.0632%19 Sept →
inferno11–13-0.0115%18 Sept →
dust213–110.0122%18 Sept →
nuke13–100.0332%18 Sept →
dust215–15-0.0116%15 Sept →
inferno13–90.0326%13 Sept →
ancient16–130.0113%13 Sept →
cache8–130.0213%13 Sept →
mirage13–90.0115%13 Sept →
cache9–13-0.0628%11 Sept →
dust213–40.0821%2 Sept →
dust210–13-0.009%1 Sept →
ancient9–13-0.064%22 Aug →
mirage13–7-0.0511%22 Aug →
nuke8–13-0.0016%22 Aug →
nuke15–15-0.0115%17 Aug →
nuke13–90.0616%17 Aug →
dust213–50.0019%15 Aug →
mirage13–60.0015%15 Aug →
anubis9–13-0.0314%14 Aug →
dust216–14-0.0514%12 Aug →
dust28–130.0221%12 Aug →
dust27–13-0.1026%11 Aug →
inferno3–13-0.0419%10 Aug →
mirage13–9-0.009%9 Aug →
mirage8–13-0.0417%9 Aug →
dust213–70.0111%9 Aug →
mirage4–13-0.049%8 Aug →
mirage13–70.0818%7 Aug →
ancient9–130.0211%7 Aug →
mirage13–80.0916%3 Aug →
anubis15–15-0.034%1 Aug →
dust213–100.0022%1 Aug →
dust211–13-0.0514%1 Aug →
mirage15–15-0.0519%30 Jul →
nuke5–13-0.0714%30 Jul →
anubis9–13-0.0620%30 Jul →
inferno13–6-0.0214%29 Jul →
inferno16–13-0.0216%26 Jul →
inferno13–10-0.0122%26 Jul →
dust213–20.0515%26 Jul →
mirage6–130.0113%26 Jul →

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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