no Aim ✞ - ReadMyProfile :)

no Aim ✞ - ReadMyProfile :) — CS2 Stats

76561198090968574[U:1:130702846]Steam profile ↗✓ No bans

1,196Tracked matches54%Win rate2020Tracked since
1,981Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating23,786Top 25% of 212,133 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#34480 of 259056 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (17 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: 23,786 +13 22 Mar – 14 Oct · 26 days played
22,17125,101peak 25,10122 Mar14 Oct
25,101Peak Premier in tracked matches
35Days played since 2026-03-22

Premier CS Rating

  • 1,315 below peak (25,101)
  • +145 over 30 days · steady
  • -1,214 over 90 days
  • Next: Red band at 25,000 — 1,214 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-25
  • Purple band first seen 2026-09-25

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=15,525), 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 rate38.2%46.8%48.2%10.1% short
Shot accuracy18.7%13.0%13.2%above
Kill/death ratio0.931.061.070.14 short
Match win rate39.8%46.3%46.9%7.2% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot 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.GGno Aim ✞ - ReadMyProfile …FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,786 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning53
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateWLWLLWWLLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.3pp headshot accuracy · −6ms 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 -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 595ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 598ms

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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.4
Utility7.5
Positioning5.3
Opening Duels3.7
Clutch6.0

High utility contribution

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

ZywOo

Plays most like ZywOo 84% 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. 607ms 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

Aim7.4
Positioning5.3
Utility7.5
Mechanics7.1
Opening Duels3.7
Win Impact6.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time602ms−69ms
first ⅓ avg 671ms → last ⅓ avg 602ms
Headshot accuracy13.4%−0.6%
first ⅓ avg 14.0% → last ⅓ avg 13.4%

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

0.17Best match rating · 9–2 · inferno, 2 Sept →
40%Best headshot accuracy · 13–11 · shelter, 24 Jul →
422msFastest reaction time · 13–5 · inferno, 31 Aug →
13–1Biggest win · mirage, 8 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 5nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB2413–1154%0.00
infernoA2213–959%0.01
dust2C219–1243%-0.01
nukeC104–640%-0.01
cacheC73–443%-0.03
anubisA53–260%-0.03
mirageC52–340%-0.04
overpass—31–233%-0.01
shelter—22–0100%0.02
vertigo—10–10%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,305Lifetime kills
0.93K/D
4,157Matches
39.8%Match win rate
38.2%Headshot %
18.7%Shot accuracy · Top 10% of Level 8 players
8,336MVPs
1,981Hours (in match)
4,240Bombs planted
1,249Bombs defused

Most-used weapons

AK-4726,654
AWP12,757
P2503,004
MP92,175
FAMAS2,019

Lifetime map wins

10,391inferno
9,551nuke
2,573dust2
599train
474vertigo
284cbble
185dust
154office

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

Faceit stats

Combat

331Matches
53%Win rate
1.07Avg K/D
80.1ADR
31%Headshot %

Clutches & streaks

50%1v1 clutch win
29%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2771%1.1216.7
Ancient450%1.2014.0
Inferno333%0.9614.0
Nuke333%0.8815.7
Overpass1100%0.8214.0

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.

13.4%Headshot accuracy
40.5%Accuracy (enemy spotted)
43.9%Spray accuracy
82.1%Counter-strafing
10.9°Preaim
607msReaction time
44.9%T opening success
44.9%CT opening success
0.69Enemies flashed / flash
15.3%Flash assists
11.07HE damage / grenade
10.51Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3818% — below the 15% mark we flag

    Aim Training →
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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0115%14 Oct →
ancient9–13-0.0912%30 Sept →
anubis13–6-0.0519%30 Sept →
nuke8–13-0.017%23 Sept →
ancient11–13-0.0010%23 Sept →
dust213–10-0.0116%19 Sept →
ancient4–00.1417%19 Sept →
cache7–13-0.0613%19 Sept →
dust26–13-0.055%14 Sept →
dust213–10-0.0215%14 Sept →
dust213–7-0.0519%14 Sept →
cache13–8-0.014%13 Sept →
ancient13–20.0623%13 Sept →
anubis15–15-0.037%13 Sept →
cache13–60.017%13 Sept →
dust28–130.0513%11 Sept →
dust213–70.0212%11 Sept →
dust29–13-0.015%11 Sept →
nuke13–110.0918%11 Sept →
dust24–13-0.0317%11 Sept →
inferno16–120.0423%8 Sept →
dust27–13-0.0311%8 Sept →
inferno6–13-0.0215%8 Sept →
anubis15–15-0.0411%3 Sept →
dust26–13-0.0416%3 Sept →
ancient10–13-0.0322%3 Sept →
dust210–13-0.0616%3 Sept →
inferno9–20.1721%2 Sept →
ancient13–10-0.048%31 Aug →
ancient13–70.009%31 Aug →
nuke13–100.0324%31 Aug →
inferno13–50.029%31 Aug →
ancient13–80.037%31 Aug →
dust210–13-0.0223%31 Aug →
ancient13–90.0120%27 Aug →
dust211–13-0.0619%27 Aug →
overpass12–12-0.015%14 Aug →
ancient1–13-0.0217%25 Jul →
inferno0–6-0.200%25 Jul →
inferno3–130.0619%25 Jul →
shelter13–10-0.0120%24 Jul →
cache12–12-0.0114%24 Jul →
nuke4–13-0.0318%24 Jul →
shelter13–110.0440%24 Jul →
dust25–13-0.0418%23 Jul →
dust213–9-0.028%23 Jul →
inferno7–130.0124%23 Jul →
ancient13–9-0.0218%23 Jul →
inferno13–7-0.0214%23 Jul →
ancient11–13-0.0313%23 Jul →
cache1–13-0.0826%23 Jul →
inferno11–13-0.0627%22 Jul →
ancient0–11-0.056%22 Jul →
inferno13–110.0716%22 Jul →
inferno8–13-0.0813%22 Jul →
ancient13–60.0312%22 Jul →
cache13–100.0314%22 Jul →
inferno13–30.0632%22 Jul →
dust213–20.0324%4 Jul →
ancient8–130.0415%4 Jul →
inferno13–20.1316%30 Jun →
inferno13–30.0510%30 Jun →
nuke4–13-0.0321%29 Jun →
ancient13–100.0911%29 Jun →
ancient5–13-0.0218%29 Jun →
inferno6–13-0.0419%28 Jun →
inferno4–13-0.0418%27 Jun →
dust213–80.0517%27 Jun →
dust216–140.0114%27 Jun →
inferno13–7-0.0311%26 Jun →
mirage13–11-0.0320%17 Jun →
cache6–13-0.079%29 Apr →
anubis13–6-0.0216%24 Apr →
dust213–9-0.0315%15 Apr →
overpass13–80.028%8 Apr →
mirage13–10.0417%8 Apr →
ancient13–60.0116%8 Apr →
nuke9–13-0.0017%1 Apr →
inferno5–130.039%1 Apr →
ancient13–3-0.016%1 Apr →
dust211–130.0218%1 Apr →
ancient8–13-0.076%29 Mar →
ancient13–16-0.0315%26 Mar →
inferno13–9-0.0121%26 Mar →
ancient16–13-0.0210%25 Mar →
ancient13–50.059%25 Mar →
nuke10–13-0.0314%25 Mar →
nuke13–10-0.0616%25 Mar →
mirage10–13-0.0412%25 Mar →
ancient4–13-0.0321%24 Mar →
inferno13–6-0.0111%24 Mar →
nuke14–16-0.0812%24 Mar →
inferno13–50.048%23 Mar →
anubis13–7-0.0212%23 Mar →
inferno13–100.0120%22 Mar →
overpass7–13-0.0417%22 Mar →
mirage2–13-0.0918%22 Mar →
mirage13–16-0.056%22 Mar →
dust26–130.0020%22 Mar →
vertigo6–130.0325%22 Mar →

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 →

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