Azkaellon

Azkaellon — CS2 Stats

CN76561198430625867[U:1:470360139]Steam profile ↗✓ No bans

90Tracked matches48%Win rate2021Tracked since
1,076Hours in CS2Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating18,476Purple band · top ~14.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (10 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: 18,476 +1,925 25 May – 23 Sept · 13 days played
16,55120,114peak 20,11425 May23 Sept
20,114Peak Premier in tracked matches
42Days played since 2021-06-17

Premier CS Rating

  • 1,638 below peak (20,114)
  • -13 over 90 days
  • Next: Pink band at 20,000 — 1,524 to go
  • Reached: Pink band · 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 rate35.4%44.3%46.9%11.5% short
Shot accuracy16.3%11.9%13.0%above
Kill/death ratio1.081.031.08meets
Match win rate45.4%45.2%46.7%1.3% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGAzkaellonPREMIER18,476 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning65
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY41–46–3Last 9046%Win rateLWLWWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +2.4pp headshot accuracy · +35ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 636ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 644ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 626ms

Newest first, from the last 90 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 (+1.1 against its own average).

Aim6.9
Utility5.4
Positioning6.5
Opening Duels4.4

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 88% 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

Reaction time. 641ms 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

Aim6.9
Positioning6.5
Utility5.4
Mechanics7.2
Opening Duels4.2
Win Impact4.4

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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time631ms−21ms
first ⅓ avg 652ms → last ⅓ avg 631ms
Headshot accuracy17.8%+0.7%
first ⅓ avg 17.1% → last ⅓ avg 17.8%

Rolling 5-match average across the last 90 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 13–2 · cache, 29 May →
33%Best headshot accuracy · 5–2 · inferno, 17 Sept →
453msFastest reaction time · 13–4 · ancient, 16 Jul →
13–2Biggest win · cache, 29 May →

Across the last 90 tracked matches.

Highlights

7Longest win streak
9–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
dust2D257–1828%0.02
infernoB2010–1050%0.02
ancientB137–654%0.03
nukeA106–460%0.01
mirageB84–450%0.03
cacheB63–350%0.07
overpassS54–180%0.06
anubis—10–10%-0.02
train—10–10%0.04
vertigo—10–10%-0.02

Across the last 90 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,873Lifetime kills
1.08K/D · Top 50% of Purple band
1,823Matches
45.4%Match win rate · Top 50% of Purple band
35.4%Headshot %
16.3%Shot accuracy · Top 25% of Purple band
2,579MVPs
633Hours (in match)
1,272Bombs planted
221Bombs defused

Most-used weapons

Lifetime map wins

4,360inferno
3,577dust2
445nuke
330vertigo
210office
179train
174italy
78militia

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.

17.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
39.6%Spray accuracy
82.4%Counter-strafing
10.3°Preaim
641msReaction time
41.5%T opening success
52.0%CT opening success
0.55Enemies flashed / flash
5.9%Flash assists
12.70HE damage / grenade
5.55Flashes / 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.

28% win rate across 25 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
dust214–160.0021%23 Sept →
mirage13–110.0214%23 Sept →
inferno3–13-0.0324%20 Sept →
inferno5–2-0.0133%17 Sept →
nuke13–60.0416%19 Jul →
ancient16–130.1221%18 Jul →
dust27–13-0.0215%17 Jul →
inferno13–110.1022%17 Jul →
ancient13–80.0615%17 Jul →
dust210–130.0714%17 Jul →
dust213–100.0619%16 Jul →
inferno13–7-0.0122%16 Jul →
dust29–13-0.0113%16 Jul →
inferno13–40.0621%16 Jul →
ancient13–40.007%16 Jul →
inferno2–11-0.0230%15 Jul →
dust215–15-0.0320%15 Jul →
cache5–130.0320%15 Jul →
inferno10–13-0.057%14 Jul →
dust22–130.0211%14 Jul →
mirage13–60.028%14 Jul →
cache10–130.0313%14 Jul →
dust213–160.0224%14 Jul →
cache13–80.0310%14 Jul →
inferno11–130.0421%13 Jul →
inferno13–90.0727%13 Jul →
mirage10–130.0415%12 Jul →
mirage13–110.0314%12 Jul →
dust26–13-0.0218%12 Jul →
nuke8–130.0520%12 Jul →
cache13–80.0818%10 Jul →
inferno13–30.1318%10 Jul →
dust213–110.0219%10 Jul →
inferno8–13-0.0514%10 Jul →
nuke13–8-0.0312%30 Jun →
inferno7–130.0224%29 Jun →
nuke13–3-0.0119%26 Jun →
inferno13–100.0321%17 Jun →
dust27–1-0.0121%17 Jun →
inferno13–70.1219%7 Jun →
cache13–20.2316%29 May →
dust210–130.1820%29 May →
nuke13–11-0.0312%28 May →
nuke2–13-0.0630%28 May →
dust22–130.0119%28 May →
cache9–130.0214%27 May →
dust29–13-0.0312%27 May →
ancient13–80.0022%27 May →
dust216–130.0014%25 May →
ancient9–130.0023%25 May →
ancient10–13-0.0217%25 May →
overpass13–70.0621%25 May →
ancient10–130.0215%25 May →
inferno9–130.0519%23 May →
ancient16–130.0318%23 May →
inferno3–130.0220%23 May →
ancient13–60.1219%23 May →
dust215–150.1112%17 Apr →
nuke8–130.0312%17 Apr →
dust26–13-0.0518%7 Apr →
inferno8–130.0615%16 Mar →
dust22–13-0.0612%10 Mar →
mirage7–130.1114%10 Mar →
ancient5–130.0418%10 Mar →
ancient15–15-0.0120%7 Mar →
ancient11–130.0116%7 Mar →
anubis3–13-0.0213%25 Feb →
dust210–13-0.0314%23 Feb →
dust28–130.0221%23 Feb →
inferno13–10-0.0316%23 Feb →
inferno13–30.0511%23 Feb →
dust216–14-0.0117%21 Feb →
dust213–50.1219%21 Feb →
dust213–20.0422%21 Feb →
nuke13–110.0523%24 Jan →
overpass13–110.089%24 Nov →
dust29–13-0.0324%15 Nov →
inferno11–13-0.0420%15 Nov →
nuke8–130.0222%10 Nov →
overpass16–140.0623%1 Nov →
ancient13–9-0.0119%1 Nov →
mirage11–130.0121%27 Oct →
dust211–130.0617%27 Oct →
train11–130.0413%10 Oct →
overpass13–80.0919%10 Oct →
nuke13–90.0530%9 Oct →
vertigo5–9-0.0215%8 Jan →
mirage16–120.0010%4 Jul →
overpass13–160.0012%19 Jun →
mirage14–160.0011%17 Jun →

Match data via Leetify.

Recent teammates

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

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