Árk0

Árk0 — CS2 Stats

76561199745186798[U:1:1784921070]Steam profile ↗✓ No bans

229Tracked matches41%Win rate2025Tracked since
859Hours in CS18Hrs last 2 wks
CSDB Rating3.1 LearningPositional Player
Premier CS Rating2,645Grey band · top ~88.8% of ranked players (population est.)
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (8 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 9 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 2,645 +601 14 Jul11 Sept · 21 days played
1,1412,645peak 2,64514 Jul11 Sept
2,752Peak Premier in tracked matches
32Days played since 2026-07-09

Premier CS Rating

  • At peak — 2,645
  • +1,373 over 30 days · improving
  • Next: Light Blue band at 5,000 2,355 to go

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 Grey band among CSDB-tracked players (n=3,416), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.0%38.1%39.9%3.9% short
Shot accuracy0.0%3.8%6.9%6.9% short
Kill/death ratio0.630.830.920.29 short
Match win rate26.6%40.1%42.3%15.6% short

This profile sits below the typical Light Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGÁrk0PREMIER2,645 · Grey bandcsdb.gg/stats

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Performance scores

Aim33
Positioning46
Utility40

0–100 skill scores via Leetify.

Recent form

HOT40555Last 10040%Win rateWLLWLWWWWW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating · −0.7pp headshot accuracy · −40ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 647ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 652ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 672ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim3.3
Utility4.0
Positioning4.6
Opening Duels0.3

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

NiKo

Plays most like NiKo 64% 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

Reaction time. 667ms 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

Aim3.3
Positioning4.6
Utility4.0
Mechanics4.6
Opening Duels0.9
Win Impact2.1

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-0.03+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time670ms−111ms
first ⅓ avg 781ms → last ⅓ avg 670ms
Headshot accuracy13.9%−2.4%
first ⅓ avg 16.4% → last ⅓ avg 13.9%

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

0.16Best match rating · 8–8 · inferno, 17 Aug
52%Best headshot accuracy · 13–1 · dust2, 10 Aug
422msFastest reaction time · 1–9 · inferno, 12 Aug
13–1Biggest win · dust2, 10 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
67In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 52% over 25nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC29111838%-0.04
mirageB25131252%-0.02
dust2C2181338%-0.03
anubisD113827%-0.05
nukeD81713%-0.06
cache31233%-0.05
overpass110100%0.05
ancient110100%-0.06
office110100%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,137Lifetime kills
0.63K/D
1,505Matches
26.6%Match win rate
36.0%Headshot %
0.0%Shot accuracy
2,426MVPs
369Hours (in match)
824Bombs planted
237Bombs defused

Most-used weapons

Lifetime map wins

2,110dust2
893inferno
629nuke
158vertigo
53ar_shoots
32office
29ar_baggage
26train

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

Skill profile

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

12.8%Headshot accuracy
26.1%Accuracy (enemy spotted)
27.2%Spray accuracy
70.6%Counter-strafing
8.0°Preaim
667msReaction time
27.5%T opening success
36.8%CT opening success
0.51Enemies flashed / flash
7.1%Flash assists
5.93HE damage / grenade
11.23Flashes / 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 12.7804% — below the 15% mark we flag

    Aim Training
  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 27.4587% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–70.064%12 Sept
mirage11–13-0.0319%12 Sept
dust211–130.0127%12 Sept
overpass9–70.0519%11 Sept
mirage7–13-0.055%11 Sept
ancient13–9-0.0619%11 Sept
mirage16–13-0.0112%7 Sept
inferno9–40.0811%7 Sept
inferno9–40.0711%6 Sept
mirage13–8-0.0516%6 Sept
nuke5–13-0.106%6 Sept
mirage9–130.0214%6 Sept
dust27–130.0116%4 Sept
inferno6–9-0.1011%31 Aug
inferno7–90.0516%31 Aug
mirage13–10-0.0211%31 Aug
nuke6–13-0.0517%31 Aug
mirage11–13-0.0114%31 Aug
dust23–13-0.0720%30 Aug
inferno13–6-0.0124%29 Aug
dust22–13-0.0424%28 Aug
inferno5–9-0.1931%28 Aug
cache13–8-0.0213%28 Aug
dust24–13-0.0712%28 Aug
mirage13–70.0111%27 Aug
dust213–110.008%27 Aug
anubis4–13-0.074%27 Aug
office13–11-0.0513%27 Aug
mirage15–15-0.0612%26 Aug
dust216–12-0.059%26 Aug
inferno4–130.0114%26 Aug
inferno9–6-0.078%26 Aug
dust213–9-0.048%26 Aug
inferno9–10.0625%26 Aug
inferno8–13-0.068%25 Aug
anubis8–13-0.0410%25 Aug
dust29–13-0.0815%25 Aug
inferno1–9-0.2522%25 Aug
dust210–13-0.005%25 Aug
anubis13–8-0.030%25 Aug
dust211–13-0.0421%25 Aug
inferno5–9-0.1017%25 Aug
inferno9–10.0525%24 Aug
mirage13–11-0.0620%24 Aug
nuke13–7-0.0611%24 Aug
mirage13–7-0.018%24 Aug
mirage13–90.0623%24 Aug
mirage8–13-0.0822%24 Aug
inferno8–8-0.0716%21 Aug
mirage13–9-0.0114%21 Aug
mirage8–13-0.085%17 Aug
mirage13–2-0.0314%17 Aug
inferno8–80.1615%17 Aug
anubis2–13-0.104%15 Aug
inferno1–9-0.1827%15 Aug
mirage5–13-0.0413%15 Aug
inferno5–9-0.0513%15 Aug
inferno9–20.0716%15 Aug
dust213–7-0.0210%14 Aug
inferno3–9-0.189%14 Aug
inferno13–30.0635%14 Aug
inferno6–90.0232%14 Aug
inferno8–80.047%14 Aug
mirage13–9-0.0313%13 Aug
anubis4–13-0.0511%13 Aug
inferno9–50.0930%13 Aug
nuke8–8-0.094%12 Aug
inferno1–9-0.2915%12 Aug
cache5–13-0.027%12 Aug
anubis11–13-0.0221%10 Aug
nuke5–13-0.0417%10 Aug
dust213–10.1152%10 Aug
dust22–13-0.0413%10 Aug
dust213–10-0.0418%10 Aug
inferno2–9-0.250%10 Aug
inferno9–40.0331%10 Aug
mirage13–4-0.026%5 Aug
nuke3–13-0.0713%5 Aug
dust28–13-0.0116%29 Jul
anubis5–13-0.072%29 Jul
mirage5–130.0412%29 Jul
dust23–13-0.108%28 Jul
inferno2–13-0.126%28 Jul
anubis13–4-0.038%27 Jul
mirage13–40.0414%27 Jul
mirage4–13-0.0220%27 Jul
mirage1–13-0.0612%25 Jul
nuke7–13-0.0219%25 Jul
anubis3–13-0.087%22 Jul
inferno11–13-0.0519%20 Jul
cache9–13-0.119%20 Jul
nuke5–13-0.0715%17 Jul
anubis13–70.0214%14 Jul
dust24–13-0.0111%14 Jul
mirage13–4-0.0318%14 Jul
dust24–13-0.0350%14 Jul
mirage5–13-0.013%14 Jul
dust213–3-0.0421%11 Jul
dust216–140.0126%10 Jul
anubis10–13-0.0836%9 Jul

Match data via Leetify.

Recent teammates

Milestones

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