atek

atek — CS2 Stats

MN76561198123671415[U:1:163405687]Steam profile ↗✓ No bans

645Tracked matches54%Win rate2020Tracked since
2,717Hours in CS10Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating25,429Top 10% of 215,248 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#18567 of 261439 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (2 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: 25,429 +3,131 23 Jul – 11 Nov · 43 days played
20,53725,429peak 25,42923 Jul11 Nov
25,429Peak Premier in tracked matches
42Days played since 2026-07-23

Premier CS Rating

  • At peak — 25,429
  • +2,934 over 30 days · improving
  • +3,887 over 90 days
  • Next: Gold band at 30,000 — 4,571 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-10-30
  • Purple band first seen 2026-10-30

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate53.0%49.3%50.9%above
Shot accuracy15.6%13.4%11.8%above
Kill/death ratio1.101.121.180.08 short
Match win rate45.1%48.5%51.9%6.7% short

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

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

Share this profile

CSDB.GGatekPREMIER25,429 · Red 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

Aim87
Positioning67
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLTWWWLWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −4.9pp headshot accuracy · +59ms reaction

Win rate up 30pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 619ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 544ms

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 (+2.1 against its own average).

Aim8.7
Utility6.2
Positioning6.7
Opening Duels5.4
Clutch0.0

Sharp aimer

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 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

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

Aim8.7
Positioning6.7
Utility6.2
Mechanics7.1
Opening Duels6.5
Win Impact6.2

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time552ms−3ms
first ⅓ avg 555ms → last ⅓ avg 552ms
Headshot accuracy23.5%+2.4%
first ⅓ avg 21.1% → last ⅓ avg 23.5%

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

0.13Best match rating · 13–5 · cache, 4 Aug →
50%Best headshot accuracy · 13–3 · inferno, 15 Oct →
391msFastest reaction time · 13–5 · dust2, 2 Aug →
13–2Biggest win · anubis, 10 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 63% over 8nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3418–1653%0.03
cacheB157–847%0.03
infernoA148–657%0.04
anubisA127–558%0.02
ancientD103–730%0.02
mirageA85–363%0.01
nukeD72–529%0.06

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

108,433Lifetime kills
1.10K/D
3,910Matches
45.1%Match win rate
53.0%Headshot % · Top 50% of Red band
15.6%Shot accuracy · Top 50% of Red band
11,051MVPs
1,795Hours (in match)
3,842Bombs planted
1,326Bombs defused

Most-used weapons

Lifetime map wins

12,071dust2
5,146inferno
3,364nuke
1,390train
720vertigo
713cbble
34aztec
18dust

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

Faceit stats

Combat

61Matches
56%Win rate
1.33Avg K/D
91.0ADR
50%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage367%0.9619.3
Inferno367%1.6921.7
Ancient367%1.8822.0
Anubis333%1.3216.3
Dust220%1.0617.5
Vertigo250%1.2417.5
Train1100%1.2024.0

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.

23.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
39.1%Spray accuracy
81.8%Counter-strafing
7.8°Preaim
546msReaction time
57.4%T opening success
54.9%CT opening success
0.66Enemies flashed / flash
8.7%Flash assists
12.91HE damage / grenade
12.92Flashes / match

Recommended for you

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
dust216–140.0618%11 Nov →
anubis6–13-0.0122%11 Nov →
dust215–150.0621%10 Nov →
anubis13–20.0619%10 Nov →
dust213–110.0319%8 Nov →
inferno13–110.0921%5 Nov →
anubis10–130.0317%5 Nov →
dust213–7-0.0230%3 Nov →
inferno10–130.1124%3 Nov →
dust213–90.0418%2 Nov →
cache15–15-0.0519%2 Nov →
dust213–30.1326%1 Nov →
inferno13–100.0927%1 Nov →
ancient13–16-0.0413%25 Oct →
mirage3–13-0.1213%25 Oct →
cache10–130.0526%21 Oct →
dust213–110.0634%21 Oct →
inferno10–130.0234%21 Oct →
nuke10–130.0333%20 Oct →
dust211–130.0729%20 Oct →
dust216–140.0424%20 Oct →
dust25–13-0.0322%16 Oct →
inferno13–110.0418%16 Oct →
anubis13–30.0419%16 Oct →
mirage13–110.0233%16 Oct →
inferno13–30.0150%15 Oct →
dust213–70.0717%15 Oct →
inferno11–130.0228%14 Oct →
nuke9–130.0226%14 Oct →
anubis2–13-0.0222%14 Oct →
dust213–80.0427%14 Oct →
anubis13–110.0615%13 Oct →
ancient6–13-0.0514%13 Oct →
dust213–90.0223%13 Oct →
ancient4–130.0831%12 Oct →
dust210–13-0.0226%12 Oct →
cache10–130.0522%9 Oct →
ancient13–50.1216%9 Oct →
cache8–130.0623%9 Oct →
nuke7–130.0332%7 Oct →
dust213–60.0726%7 Oct →
anubis4–13-0.0214%7 Oct →
nuke10–130.0822%6 Oct →
cache13–70.0013%6 Oct →
mirage16–120.0719%5 Oct →
dust24–130.0716%4 Oct →
inferno13–90.0511%4 Oct →
cache10–130.0227%2 Oct →
mirage10–130.0122%2 Oct →
nuke13–50.1130%2 Oct →
dust27–130.0637%30 Sept →
inferno13–90.0931%30 Sept →
mirage13–40.0423%30 Sept →
cache11–130.0419%27 Sept →
inferno8–130.0716%27 Sept →
nuke11–130.0516%24 Sept →
mirage13–100.0430%24 Sept →
anubis13–110.0416%23 Sept →
ancient8–130.1035%23 Sept →
dust24–13-0.0628%14 Sept →
dust213–40.0430%14 Sept →
anubis13–11-0.0317%11 Sept →
mirage13–20.0321%9 Sept →
dust216–13-0.0020%9 Sept →
dust213–6-0.0423%7 Sept →
dust27–13-0.0226%7 Sept →
dust24–13-0.0617%16 Aug →
ancient10–13-0.0520%16 Aug →
cache13–60.0129%16 Aug →
inferno13–80.0113%16 Aug →
mirage6–13-0.0420%15 Aug →
dust213–3-0.0318%15 Aug →
inferno13–70.0115%14 Aug →
dust25–130.0016%12 Aug →
cache13–8-0.0127%12 Aug →
ancient10–13-0.0014%12 Aug →
inferno10–130.0324%10 Aug →
nuke13–80.1226%10 Aug →
dust29–130.0120%9 Aug →
cache6–13-0.0210%4 Aug →
inferno8–13-0.0211%4 Aug →
cache13–50.1327%4 Aug →
dust27–130.0514%3 Aug →
ancient13–70.1030%3 Aug →
anubis10–13-0.0126%3 Aug →
ancient13–30.0716%2 Aug →
dust213–50.0718%2 Aug →
dust215–150.0629%2 Aug →
dust213–50.0523%29 Jul →
cache13–11-0.0216%29 Jul →
cache13–50.0231%29 Jul →
dust213–60.0722%29 Jul →
ancient8–13-0.0712%27 Jul →
dust210–130.0722%27 Jul →
anubis13–60.0525%27 Jul →
dust210–13-0.0326%27 Jul →
dust26–13-0.0227%26 Jul →
cache5–130.0325%26 Jul →
cache13–90.0724%23 Jul →
anubis13–70.0422%23 Jul →

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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