Arzolium

Arzolium — CS2 Stats

US76561198081025144[U:1:120759416]Steam profile ↗✓ No bans

675Tracked matches43%Win rate2020Tracked since
2,185Hours in CS6Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating18,296Purple band · top ~15.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 18,296 +2,562 11 Apr – 13 Nov · 24 days played
15,73418,629peak 18,62911 Apr13 Nov
18,729Peak Premier in tracked matches
38Days played since 2026-04-11

Premier CS Rating

  • 333 below peak (18,629)
  • +973 over 30 days · improving
  • Next: Pink band at 20,000 — 1,704 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate37.9%44.8%45.7%7.8% short
Shot accuracy17.1%12.4%12.7%above
Kill/death ratio1.031.031.05meets
Match win rate42.5%45.2%45.7%3.2% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArzoliumFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,296 · 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

Aim67
Positioning68
Utility46

0–100 skill scores via Leetify.

Recent form

COLD40–57–3Last 10040%Win rateLWLLLLLLWL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −2.9pp headshot accuracy · +36ms 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 12%
  • Avg reaction 485ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 537ms

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 (+2.8 against its own average).

Aim6.7
Utility4.6
Positioning6.8
Opening Duels4.6
Clutch0.0

Strong CT-side openerLimited 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

jL

Plays most like jL 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 567ms 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

Aim6.7
Positioning6.8
Utility4.6
Mechanics6.4
Opening Duels6.4
Win Impact2.8

Composite 5.9/10 (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 rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time560ms−47ms
first ⅓ avg 607ms → last ⅓ avg 560ms
Headshot accuracy17.4%+3.4%
first ⅓ avg 14.0% → last ⅓ avg 17.4%

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

0.07Best match rating · 13–8 · anubis, 3 May →
50%Best headshot accuracy · 3–13 · inferno, 5 Jul →
406msFastest reaction time · 13–11 · ancient, 3 Nov →
13–3Biggest win · anubis, 31 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 73% over 11dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
cacheD194–1521%-0.02
nukeD155–1033%-0.02
anubisA149–564%0.02
infernoC135–838%-0.02
dust2D122–1017%-0.00
mirageS118–373%0.01
overpassC94–544%-0.04
ancient—31–233%-0.02
vertigo—32–167%0.00
train—10–10%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,299Lifetime kills
1.03K/D · Top 50% of Level 6 players
3,561Matches
42.5%Match win rate
37.9%Headshot %
17.1%Shot accuracy · Top 25% of Level 6 players
6,526MVPs
1,391Hours (in match)
3,607Bombs planted
844Bombs defused

Most-used weapons

AK-4713,910
AWP6,526
SSG 082,308
SG 5532,284
P902,026
Tec-91,838

Lifetime map wins

6,563dust2
2,770inferno
1,703nuke
1,409train
881vertigo
851cbble
322office
206lake

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

Faceit stats

Combat

10Matches
70%Win rate
0.96Avg K/D
58.2ADR
54%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis475%1.1514.0
Nuke2100%0.9613.0
Mirage250%0.5713.0
Ancient1100%1.2012.0
Inferno10%0.7915.0

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.

16.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
33.5%Spray accuracy
78.9%Counter-strafing
9.8°Preaim
567msReaction time
51.2%T opening success
60.1%CT opening success
0.56Enemies flashed / flash
8.8%Flash assists
7.66HE damage / grenade
4.27Flashes / match

Recommended for you

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.

17% win rate across 12 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
cache5–13-0.077%13 Nov →
anubis13–110.0314%13 Nov →
dust22–13-0.043%13 Nov →
inferno4–9-0.0030%13 Nov →
dust210–130.018%12 Nov →
nuke4–13-0.0114%12 Nov →
dust25–13-0.038%3 Nov →
anubis3–13-0.0636%3 Nov →
ancient13–110.0117%3 Nov →
cache2–13-0.0313%3 Nov →
vertigo3–9-0.0738%3 Nov →
mirage13–10-0.0110%31 Oct →
inferno10–13-0.0411%31 Oct →
dust211–130.0620%31 Oct →
anubis13–30.0717%31 Oct →
anubis13–50.0313%31 Oct →
cache13–8-0.0119%26 Oct →
inferno13–9-0.0013%20 Oct →
nuke3–13-0.0413%20 Oct →
vertigo13–60.0223%20 Oct →
cache7–13-0.0316%19 Oct →
mirage3–130.0431%19 Oct →
mirage13–60.0312%18 Oct →
inferno5–130.0428%18 Oct →
cache11–13-0.0222%9 Oct →
mirage13–110.0323%9 Oct →
nuke13–9-0.0115%9 Oct →
anubis4–13-0.0118%9 Oct →
cache9–130.0112%9 Sept →
mirage8–13-0.0218%9 Sept →
mirage16–130.0215%8 Sept →
inferno13–110.0224%8 Sept →
cache9–130.0018%8 Sept →
cache10–13-0.0317%4 Sept →
mirage13–50.0433%2 Sept →
nuke16–14-0.0722%10 Aug →
dust26–130.0215%10 Aug →
cache13–3-0.0224%10 Aug →
anubis9–13-0.0215%10 Aug →
anubis16–140.0111%6 Aug →
dust28–13-0.0025%6 Aug →
inferno13–8-0.0510%6 Aug →
anubis13–110.0523%29 Jul →
cache13–16-0.0217%29 Jul →
anubis13–40.0414%9 Jul →
nuke5–13-0.0327%9 Jul →
dust26–13-0.0126%9 Jul →
cache13–7-0.058%8 Jul →
dust29–13-0.0119%6 Jul →
inferno3–13-0.0850%5 Jul →
overpass14–16-0.0527%5 Jul →
mirage4–13-0.0230%5 Jul →
cache10–13-0.0524%11 Jun →
dust28–13-0.0315%14 May →
cache9–130.0127%14 May →
overpass13–11-0.0414%6 May →
nuke13–16-0.0617%6 May →
inferno16–12-0.049%3 May →
cache13–70.0313%3 May →
vertigo13–70.0616%3 May →
cache11–13-0.0116%3 May →
nuke13–16-0.0113%3 May →
anubis13–80.079%3 May →
cache6–13-0.0622%1 May →
cache12–120.0016%1 May →
cache12–12-0.0617%30 Apr →
cache9–13-0.0626%30 Apr →
overpass5–13-0.066%26 Apr →
nuke8–13-0.0318%26 Apr →
overpass13–4-0.048%26 Apr →
ancient6–13-0.066%25 Apr →
train8–13-0.0617%25 Apr →
overpass5–0-0.0420%24 Apr →
inferno4–130.0216%24 Apr →
overpass13–9-0.0411%22 Apr →
dust213–40.0417%22 Apr →
nuke9–130.0021%22 Apr →
dust27–13-0.0414%21 Apr →
inferno5–130.0122%21 Apr →
overpass11–130.0117%21 Apr →
nuke13–70.0620%20 Apr →
overpass5–13-0.0616%20 Apr →
overpass5–13-0.0514%20 Apr →
inferno8–13-0.0321%18 Apr →
nuke5–13-0.0224%18 Apr →
anubis8–130.0211%18 Apr →
anubis15–150.028%17 Apr →
mirage13–10-0.0410%17 Apr →
anubis13–5-0.0214%17 Apr →
dust213–9-0.0028%17 Apr →
anubis10–60.002%17 Apr →
inferno13–70.0017%15 Apr →
mirage13–5-0.024%14 Apr →
nuke16–14-0.0416%14 Apr →
ancient6–13-0.026%13 Apr →
nuke13–5-0.0020%13 Apr →
inferno7–13-0.1214%13 Apr →
mirage13–100.0515%11 Apr →
nuke9–130.016%11 Apr →
nuke6–13-0.045%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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