äksy

äksy — CS2 Stats

76561198147633695[U:1:187367967]Steam profile ↗✓ No bans

766Tracked matches67%Win rate2020Tracked since
3,538Hours in CS25Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating14,658Blue band · top ~30.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 14,658 -6,456 28 Oct – 4 Nov · 24 days played
11,14921,892peak 21,89228 Oct4 Nov
22,618Peak Premier in tracked matches
35Days played since 2025-10-28

Premier CS Rating

  • 7,234 below peak (21,892)
  • Next: Purple band at 15,000 — 342 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.8%42.0%44.4%1.6% short
Shot accuracy15.4%9.6%11.9%above
Kill/death ratio1.110.981.03above
Match win rate45.8%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGäksyPREMIER14,658 · Blue 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

Aim60
Positioning61
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWLWWLWWWLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.2pp headshot accuracy · +5ms reaction

Win rate down 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 11%
  • Avg reaction 572ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 550ms

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 (+2.7 against its own average).

Aim6.0
Utility4.4
Positioning6.1
Opening Duels3.1
Clutch0.0

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

jL

Plays most like jL 84% 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

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 554ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.0
Positioning6.1
Utility4.4
Mechanics4.3
Opening Duels4.3
Win Impact10.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time562ms−38ms
first ⅓ avg 600ms → last ⅓ avg 562ms
Headshot accuracy16.5%−3.1%
first ⅓ avg 19.5% → last ⅓ avg 16.5%

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

0.21Best match rating · 13–1 · ancient, 28 Dec →
36%Best headshot accuracy · 13–5 · overpass, 14 Jan →
406msFastest reaction time · 13–6 · ancient, 14 Oct →
13–1Biggest win · inferno, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 100% over 5nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.01
ancientB178–947%0.03
dust2C167–944%-0.00
mirageA138–562%0.03
overpassB105–550%0.01
anubisS97–278%0.04
nukeD72–529%0.02
cacheS55–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,142Lifetime kills
1.11K/D · Top 25% of Blue band
4,278Matches
45.8%Match win rate · Top 50% of Blue band
42.8%Headshot % · Top 50% of Blue band
15.4%Shot accuracy · Top 25% of Blue band
11,259MVPs
1,972Hours (in match)
6,112Bombs planted
1,322Bombs defused

Most-used weapons

AK-4729,090
AWP8,028
MAC-101,652
FAMAS1,502
MP91,465

Lifetime map wins

12,118inferno
3,777dust2
2,492train
2,444nuke
825cbble
644vertigo
221office
38lake

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

Faceit stats

Combat

33Matches
55%Win rate
0.95Avg K/D
67.6ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.8413.8
Ancient250%1.0216.5
Inferno250%0.9314.0
Mirage10%0.8822.0

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.

16.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.8%Spray accuracy
69.2%Counter-strafing
9.0°Preaim
554msReaction time
55.4%T opening success
39.3%CT opening success
0.50Enemies flashed / flash
7.0%Flash assists
7.08HE damage / grenade
5.68Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4954 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.3148% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–90.0411%4 Nov →
mirage7–13-0.0513%3 Nov →
dust213–6-0.038%30 Oct →
inferno13–1-0.019%30 Oct →
dust27–130.0314%30 Oct →
dust213–90.1016%30 Oct →
anubis13–70.045%30 Oct →
cache13–40.0524%30 Oct →
dust27–13-0.0413%30 Oct →
anubis11–13-0.0320%30 Oct →
inferno5–130.0413%29 Oct →
ancient13–100.076%27 Oct →
inferno13–80.0017%24 Oct →
mirage13–80.0210%24 Oct →
inferno13–1-0.0119%24 Oct →
inferno13–40.0316%24 Oct →
ancient1–13-0.0517%24 Oct →
cache13–5-0.068%24 Oct →
cache13–30.0612%24 Oct →
inferno13–20.1014%24 Oct →
cache13–7-0.0218%24 Oct →
anubis9–130.1226%23 Oct →
anubis13–110.0819%21 Oct →
ancient4–13-0.0510%21 Oct →
mirage13–50.0635%21 Oct →
mirage13–30.0019%14 Oct →
ancient13–60.0617%14 Oct →
dust213–40.0318%9 Oct →
ancient8–13-0.0121%12 Sept →
nuke14–160.0026%12 Sept →
inferno9–13-0.0622%7 Aug →
inferno13–40.0422%18 Jul →
inferno6–130.0422%18 Jul →
ancient7–13-0.0225%18 Jul →
ancient13–30.0521%18 Jul →
mirage8–13-0.057%17 Jul →
inferno3–13-0.080%17 Jul →
inferno4–13-0.0126%17 Jul →
ancient6–130.0220%17 Jul →
mirage15–150.0314%3 May →
cache13–90.0722%3 May →
overpass7–130.0321%5 Apr →
nuke8–130.0420%5 Apr →
dust27–13-0.1215%5 Apr →
anubis13–50.0421%5 Apr →
dust211–13-0.0131%26 Mar →
inferno13–160.0322%24 Mar →
anubis13–6-0.0115%23 Mar →
anubis13–110.0121%23 Mar →
dust27–13-0.0512%21 Mar →
overpass16–130.0315%19 Mar →
inferno8–13-0.0518%19 Mar →
inferno11–13-0.0322%19 Mar →
mirage13–20.1319%5 Mar →
inferno13–20.1221%5 Mar →
ancient13–10-0.0116%5 Mar →
dust213–60.0116%5 Mar →
overpass3–130.0013%26 Feb →
ancient11–130.0313%26 Feb →
overpass13–100.0119%23 Feb →
ancient13–110.0613%2 Feb →
inferno9–13-0.0522%2 Feb →
inferno13–90.0624%2 Feb →
ancient13–80.1016%2 Feb →
dust28–130.0032%2 Feb →
nuke15–150.0218%25 Jan →
inferno5–130.0021%25 Jan →
ancient13–110.0116%25 Jan →
mirage13–100.0816%15 Jan →
ancient14–16-0.0215%15 Jan →
inferno13–70.0318%15 Jan →
mirage11–130.0218%15 Jan →
mirage11–130.0422%14 Jan →
dust213–20.0924%14 Jan →
ancient10–13-0.0421%14 Jan →
overpass13–5-0.0436%14 Jan →
mirage13–30.0623%14 Jan →
nuke5–130.0116%14 Jan →
inferno13–7-0.0211%28 Dec →
inferno13–110.0117%28 Dec →
dust21–13-0.0621%28 Dec →
ancient13–10.2126%28 Dec →
overpass13–80.1016%17 Dec →
overpass16–12-0.0213%17 Dec →
overpass9–13-0.0320%15 Dec →
nuke15–150.017%15 Dec →
nuke13–30.0631%15 Dec →
dust213–3-0.0027%15 Dec →
anubis13–110.1026%14 Nov →
dust25–13-0.0223%14 Nov →
inferno8–13-0.0318%14 Nov →
ancient8–13-0.0026%5 Nov →
overpass14–160.0023%5 Nov →
dust26–13-0.0316%5 Nov →
overpass7–130.0013%5 Nov →
dust213–90.0224%5 Nov →
nuke13–40.0027%5 Nov →
inferno13–30.0626%29 Oct →
mirage13–5-0.060%29 Oct →
mirage13–80.059%28 Oct →

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 →

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