ar53n ⁧⁧✦

ar53n ⁧⁧✦ — CS2 Stats

CA76561197979054479[U:1:18788751]Steam profile ↗✓ No bans

1,606Tracked matches62%Win rate2020Tracked since
3,564Hours in CS
CSDB Rating6.1 SolidPositional Player
Premier CS Rating17,770Purple band · top ~17.4% of ranked players (population est.)
FaceitLevel 8 · 1,324 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (6 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: 17,770 -983 29 May – 11 Oct · 18 days played
16,58719,994peak 19,99429 May11 Oct
19,994Peak Premier in tracked matches
1,324Highest Faceit ELO seen on CSDB
56Days played since 2026-05-24

Faceit ELO

  • At peak — 1,324
  • Next: Level 7 at 1,351 — 27 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 2,224 below peak (19,994)
  • +511 over 30 days · improving
  • -2,224 over 90 days
  • Next: Pink band at 20,000 — 2,230 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 Level 8 among CSDB-tracked players (n=15,126), 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 8 medianLevel 9 medianvs Level 9
Headshot rate45.3%46.8%48.2%2.9% short
Shot accuracy11.8%13.0%13.2%1.4% short
Kill/death ratio0.941.061.070.13 short
Match win rate35.9%46.3%46.9%11.0% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGar53n ⁧⁧✦FACEITLevel 8 · 1,324 ELOSTANDINGTop 31.2% of rankedPREMIER17,770 · Purple bandPEAK ELO1,324csdb.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

Aim61
Positioning60
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateWLLWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.4pp headshot accuracy · −53ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 517ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 518ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

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 (+1.4 against its own average).

Aim6.1
Utility5.8
Positioning6.0
Opening Duels3.5
Clutch3.0

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 80% 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

Areas to improve

Reaction time. 555ms 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

Aim6.1
Positioning6.0
Utility5.8
Mechanics5.6
Opening Duels4.8
Win Impact9.0

Composite 6.1/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time545ms−32ms
first ⅓ avg 577ms → last ⅓ avg 545ms
Headshot accuracy14.7%+1.5%
first ⅓ avg 13.1% → last ⅓ avg 14.7%

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

0.18Best match rating · 13–4 · dust2, 24 Jul →
29%Best headshot accuracy · 13–8 · dust2, 15 Oct →
438msFastest reaction time · 13–10 · inferno, 6 Sept →
13–2Biggest win · mirage, 12 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 83% over 6cacheWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%-0.00
cacheC197–1237%0.02
ancientC188–1044%0.00
dust2A169–756%0.01
mirageB105–550%0.00
nukeA85–363%0.03
anubisS65–183%0.03
overpass—22–0100%0.01
vertigo—11–0100%0.04
train—10–10%-0.06

Across the last 100 tracked matches.

Lifetime stats

136,619Lifetime kills
0.94K/D
6,447Matches
35.9%Match win rate
45.3%Headshot %
11.8%Shot accuracy
11,096MVPs
3,564Hours (in match)
5,112Bombs planted
1,887Bombs defused

Most-used weapons

AK-4743,105
AWP11,994
P2505,283
SG 5533,158
AUG2,537
Tec-92,505

Lifetime map wins

11,705dust2
7,404inferno
3,451nuke
2,021train
1,573vertigo
1,157office
839cbble
155italy

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

Faceit stats

Combat

474Matches
54%Win rate
1.12Avg K/D
79.2ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6757%1.1815.4
Anubis6565%1.1915.0
Ancient5452%1.1415.0
Inferno3951%1.2016.1
Dust23667%1.1415.7
Nuke3241%0.9815.1
Train1540%0.8914.1
Overpass862%1.1216.5

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.

15.0%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.3%Spray accuracy
75.1%Counter-strafing
10.3°Preaim
555msReaction time
51.0%T opening success
47.1%CT opening success
0.54Enemies flashed / flash
3.5%Flash assists
10.07HE damage / grenade
10.83Flashes / match

Recommended for you

Spend your practice time on Cache

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

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–80.0529%15 Oct →
dust210–13-0.0219%11 Oct →
inferno11–13-0.0518%11 Oct →
dust213–40.0911%6 Oct →
mirage2–13-0.100%6 Oct →
ancient13–110.0821%5 Oct →
mirage13–80.0410%4 Oct →
inferno11–13-0.0413%4 Oct →
nuke13–70.0522%3 Oct →
cache13–11-0.0113%3 Oct →
nuke13–70.0610%30 Sept →
cache6–130.1113%30 Sept →
dust27–13-0.0512%28 Sept →
nuke9–130.0522%27 Sept →
ancient13–10-0.0218%26 Sept →
inferno13–100.0314%26 Sept →
inferno13–11-0.0315%24 Sept →
mirage12–120.0615%20 Sept →
dust26–13-0.0914%20 Sept →
dust213–110.0011%19 Sept →
dust213–110.0315%19 Sept →
ancient13–10-0.028%18 Sept →
dust213–90.0516%18 Sept →
cache10–130.0617%17 Sept →
ancient8–13-0.0416%17 Sept →
nuke12–16-0.0023%16 Sept →
mirage19–17-0.008%13 Sept →
dust213–10-0.088%10 Sept →
mirage13–6-0.0220%10 Sept →
dust213–80.0219%7 Sept →
ancient11–13-0.0013%7 Sept →
inferno13–10-0.0315%6 Sept →
inferno13–7-0.017%5 Sept →
inferno10–130.0120%4 Sept →
vertigo13–70.0422%4 Sept →
anubis13–100.0410%31 Aug →
mirage13–60.0214%31 Aug →
inferno13–90.0616%31 Aug →
anubis13–90.0210%24 Aug →
dust212–12-0.0311%24 Aug →
cache5–130.0218%24 Aug →
dust28–13-0.0416%21 Aug →
inferno13–50.0911%21 Aug →
anubis9–130.0416%18 Aug →
ancient10–13-0.0124%18 Aug →
dust213–70.0513%17 Aug →
ancient8–130.0113%17 Aug →
inferno13–80.0427%16 Aug →
mirage9–130.0014%16 Aug →
cache10–130.0321%16 Aug →
ancient13–110.0218%15 Aug →
cache13–90.0921%15 Aug →
ancient15–150.0514%15 Aug →
ancient3–13-0.0813%10 Aug →
inferno13–50.029%10 Aug →
nuke16–120.019%8 Aug →
mirage14–16-0.047%2 Aug →
ancient12–120.0422%2 Aug →
cache7–13-0.0311%1 Aug →
cache13–40.0521%1 Aug →
cache11–13-0.0212%24 Jul →
dust213–40.1818%24 Jul →
nuke13–100.0723%20 Jul →
inferno13–70.0412%19 Jul →
inferno10–130.0115%19 Jul →
dust26–13-0.0310%12 Jul →
mirage13–20.088%12 Jul →
nuke8–13-0.0412%12 Jul →
cache13–5-0.007%12 Jul →
inferno1–3-0.080%12 Jul →
cache11–130.0111%9 Jul →
ancient13–100.0214%6 Jul →
nuke13–20.0513%6 Jul →
cache12–120.0311%5 Jul →
ancient11–130.0011%4 Jul →
inferno13–90.0011%4 Jul →
inferno13–10-0.0117%3 Jul →
ancient13–3-0.0112%3 Jul →
train7–13-0.0611%28 Jun →
cache13–60.1113%28 Jun →
cache10–130.048%28 Jun →
inferno13–80.0114%27 Jun →
cache13–40.0320%26 Jun →
anubis19–17-0.019%23 Jun →
anubis16–130.0110%20 Jun →
overpass13–6-0.0022%20 Jun →
cache13–5-0.0519%20 Jun →
overpass13–80.0317%17 Jun →
anubis13–90.0623%15 Jun →
ancient15–15-0.0113%13 Jun →
inferno8–13-0.0414%13 Jun →
inferno6–13-0.0515%7 Jun →
ancient13–60.0318%7 Jun →
ancient13–90.0618%2 Jun →
mirage6–13-0.0213%31 May →
dust211–130.0118%29 May →
cache12–12-0.049%25 May →
ancient8–13-0.0712%25 May →
cache9–13-0.0510%25 May →
cache4–13-0.029%24 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.