ArctixXx-

ArctixXx- — CS2 Stats

FI76561197982868622[U:1:22602894]Steam profile ↗✓ No bans

1,021Tracked matches45%Win rate2020Tracked since
1,978Hours in CS4Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating18,180Purple band · top ~15.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (9 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: 18,180 +2,041 19 Apr – 26 Oct · 33 days played
16,05019,900peak 19,90019 Apr26 Oct
19,900Peak Premier in tracked matches
46Days played since 2026-04-19

Premier CS Rating

  • 1,720 below peak (19,900)
  • -276 over 30 days · steady
  • -5 over 90 days
  • Next: Pink band at 20,000 — 1,820 to go
  • Reached: Purple band · 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.1%44.4%46.9%5.9% short
Shot accuracy10.2%11.9%13.0%2.8% short
Kill/death ratio1.341.031.08above
Match win rate45.4%45.2%46.7%1.3% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGArctixXx-PREMIER18,180 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning71
Utility66

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLWLLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +1.7pp headshot accuracy · −2ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 580ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 535ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 536ms

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 (+1 against its own average).

Aim7.4
Utility6.6
Positioning7.1
Opening Duels5.5
Clutch5.2

Strong CT-side opener

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 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.4
Positioning7.1
Utility6.6
Mechanics6.1
Opening Duels5.3
Win Impact3.3

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 0.02 → last ⅓ avg 0.02
Reaction time532ms−2ms
first ⅓ avg 534ms → last ⅓ avg 532ms
Headshot accuracy18.3%−0.8%
first ⅓ avg 19.0% → last ⅓ avg 18.3%

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 · 13–5 · ancient, 25 Aug →
45%Best headshot accuracy · 0–13 · mirage, 21 Jul →
406msFastest reaction time · 10–13 · inferno, 21 Aug →
13–0Biggest win · cache, 3 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
15–10In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 53% over 19mirageWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
ancientB2110–1148%0.04
anubisB1910–953%0.04
cacheB157–847%0.02
mirageD144–1029%0.01
dust2B105–550%0.02
infernoB105–550%0.04
nukeC52–340%0.00
overpass—43–175%0.04
boulder—11–0100%-0.02
shelter—11–0100%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,932Lifetime kills
1.34K/D · Top 10% of Purple band
2,550Matches
45.4%Match win rate · Top 50% of Purple band
41.1%Headshot %
10.2%Shot accuracy
6,688MVPs
1,082Hours (in match)
3,350Bombs planted
590Bombs defused

Most-used weapons

AK-4717,707
AWP7,641
AUG2,883
MP91,028
P250918

Lifetime map wins

5,075inferno
2,836dust2
2,002nuke
1,239train
520vertigo
317cbble
203lake
73bank

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

Faceit stats

Combat

214Matches
50%Win rate
1.09Avg K/D
92.4ADR
40%Headshot %

Clutches & streaks

46%1v1 clutch win
12%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient3364%1.4218.5
Anubis3060%1.2417.0
Nuke1650%1.2118.3
Inferno1553%1.1315.9
Mirage1450%1.0716.4
Dust21136%1.1017.9
Vertigo1050%1.1820.0
Overpass714%0.8113.0

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.

18.3%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.8%Spray accuracy
77.4%Counter-strafing
9.5°Preaim
532msReaction time
37.8%T opening success
64.9%CT opening success
0.64Enemies flashed / flash
7.9%Flash assists
12.24HE damage / grenade
10.11Flashes / 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. 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 37.8067% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0216%26 Oct →
cache10–130.0526%26 Oct →
anubis13–80.0318%26 Oct →
dust28–13-0.0814%26 Oct →
mirage3–130.0417%23 Oct →
cache13–110.0528%23 Oct →
mirage7–13-0.0321%17 Oct →
anubis4–13-0.0119%16 Oct →
cache8–13-0.0129%16 Oct →
inferno14–160.0517%16 Oct →
mirage13–10-0.0426%15 Oct →
ancient9–13-0.0814%15 Oct →
dust216–13-0.0015%14 Oct →
mirage7–130.0416%14 Oct →
cache7–13-0.0717%14 Oct →
ancient13–110.0317%13 Oct →
dust211–130.0521%13 Oct →
dust213–110.0827%13 Oct →
inferno13–110.1120%9 Oct →
anubis13–30.1115%9 Oct →
anubis8–130.0524%9 Oct →
cache13–20.1012%7 Oct →
nuke13–90.0512%7 Oct →
cache3–13-0.0113%28 Sept →
dust216–130.0215%28 Sept →
mirage15–15-0.0212%28 Sept →
mirage4–130.0119%23 Sept →
anubis13–110.0016%23 Sept →
anubis13–70.0116%16 Sept →
ancient6–13-0.0018%9 Sept →
anubis13–110.0611%9 Sept →
dust213–100.0517%7 Sept →
inferno13–20.0524%7 Sept →
ancient8–130.0516%7 Sept →
cache13–90.0112%1 Sept →
ancient11–130.0115%1 Sept →
anubis9–13-0.0114%30 Aug →
inferno13–40.1020%30 Aug →
mirage13–100.0619%27 Aug →
inferno13–100.0818%27 Aug →
nuke13–11-0.0317%25 Aug →
ancient13–50.1621%25 Aug →
mirage2–130.0322%24 Aug →
inferno9–130.0729%24 Aug →
ancient8–130.1011%21 Aug →
inferno10–13-0.0419%21 Aug →
ancient9–130.0413%21 Aug →
ancient6–130.1117%14 Aug →
anubis13–100.0619%14 Aug →
nuke7–13-0.0022%14 Aug →
cache13–110.0514%10 Aug →
dust28–13-0.0312%10 Aug →
ancient15–150.0721%9 Aug →
cache13–90.0723%9 Aug →
inferno13–90.0224%6 Aug →
anubis13–110.028%6 Aug →
nuke4–13-0.0416%3 Aug →
cache13–00.0125%3 Aug →
anubis9–130.0022%3 Aug →
anubis15–150.1018%2 Aug →
cache7–13-0.036%2 Aug →
ancient16–140.0116%31 Jul →
anubis13–70.1414%31 Jul →
cache3–130.0213%31 Jul →
cache6–130.0426%28 Jul →
anubis9–13-0.005%28 Jul →
anubis13–160.0616%27 Jul →
ancient13–20.1116%27 Jul →
mirage16–130.0215%26 Jul →
inferno11–130.0124%26 Jul →
anubis6–13-0.0220%26 Jul →
cache10–13-0.037%21 Jul →
mirage0–13-0.0645%21 Jul →
ancient13–4-0.0219%21 Jul →
nuke12–160.0416%19 Jul →
cache13–40.0822%16 Jul →
anubis13–60.0823%15 Jul →
ancient13–70.0616%15 Jul →
boulder13–9-0.0218%12 Jul →
shelter13–11-0.0018%12 Jul →
mirage11–130.0621%11 May →
anubis10–13-0.0322%11 May →
mirage11–13-0.0111%6 May →
ancient13–110.0613%5 May →
overpass13–11-0.0210%5 May →
dust211–130.0516%4 May →
ancient11–130.0018%4 May →
mirage16–130.0525%3 May →
ancient13–2-0.0312%3 May →
mirage11–13-0.0321%3 May →
inferno7–13-0.0417%27 Apr →
dust23–130.0229%27 Apr →
overpass13–110.0529%26 Apr →
dust213–100.0422%26 Apr →
ancient13–100.0714%22 Apr →
ancient8–130.0926%21 Apr →
anubis13–110.0216%21 Apr →
overpass14–160.0617%20 Apr →
overpass13–30.0816%20 Apr →
ancient13–60.0513%19 Apr →

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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