Radio enjoyer

Radio enjoyer — CS2 Stats

DK76561198106563645[U:1:146297917]Steam profile ↗✓ No bans

1,622Tracked matches43%Win rate2022Tracked since
2,462Hours in CS35Hrs last 2 wks
CSDB Rating5.5 SolidSupport
FaceitLevel 5 · 1,434 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,434 → 1,434
+143Tracked matches · now 1,622
+10.7ppWin rate · 32.1% → 42.9%

Rating over time

15,577Peak Premier in tracked matches
1,434Highest Faceit ELO seen on CSDB
33Days played since 2026-06-01

Faceit ELO

  • At peak — 1,434
  • Next: Level 8 at 1,531 — 97 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-22
  • Level 6 first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate42.7%43.8%44.8%2.1% short
Shot accuracy9.7%12.0%12.4%2.8% short
Kill/death ratio1.011.021.030.03 short
Match win rate43.0%44.7%45.2%2.2% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRadio enjoyerFACEITLevel 5 · 1,434 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,434csdb.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

Aim74
Positioning50
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateWLWTWLWWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +6.1pp headshot accuracy · +10ms 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 -0.05
  • Avg headshot accuracy 27%
  • Avg reaction 638ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 632ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 627ms

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 (+2.9 against its own average).

Aim7.4
Utility7.3
Positioning5.0
Opening Duels2.5
Clutch2.6

Effective flashes

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 80% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 613ms 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
Positioning5.0
Utility7.3
Mechanics7.2
Opening Duels5.0
Win Impact2.6

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time609ms−103ms
first ⅓ avg 712ms → last ⅓ avg 609ms
Headshot accuracy19.8%+1.6%
first ⅓ avg 18.3% → last ⅓ avg 19.8%

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

0.07Best match rating · 5–13 · cache, 23 Sept →
46%Best headshot accuracy · 5–13 · cache, 27 Sept →
359msFastest reaction time · 6–9 · overpass, 20 Aug →
13–0Biggest win · vertigo, 27 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 60% over 5nukeWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB4219–2345%-0.03
infernoD133–1023%-0.03
dust2C114–736%-0.04
nukeD80–80%-0.04
mirageB63–350%-0.01
vertigoA53–260%-0.03
ancient—32–167%0.01
overpass—31–233%-0.05
anubis—31–233%-0.03
fachwerk—21–150%-0.03
train—11–0100%-0.07
poseidon—10–10%-0.27
debris—10–10%-0.17
shelter—10–10%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,931Lifetime kills
1.01K/D
3,100Matches
43.0%Match win rate
42.7%Headshot %
9.7%Shot accuracy
5,111MVPs
1,239Hours (in match)
3,225Bombs planted
628Bombs defused

Most-used weapons

AK-4716,982
AWP6,010
MP91,625
MAC-101,327
FAMAS1,168

Lifetime map wins

9,274inferno
4,405nuke
1,924vertigo
1,666dust2
941train
69lake
29italy
27ar_shoots

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

Faceit stats

Combat

1,038Matches
51%Win rate
0.94Avg K/D
71.9ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno17357%0.9914.7
Ancient14737%0.8512.9
Nuke14667%0.9613.1
Train6354%0.8812.6
Overpass3650%0.9713.6
Anubis3444%0.8712.8
Mirage2425%0.6912.0
Vertigo2245%0.8512.3

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.

20.1%Headshot accuracy
32.7%Accuracy (enemy spotted)
40.8%Spray accuracy
82.4%Counter-strafing
9.0°Preaim
613msReaction time
57.3%T opening success
42.8%CT opening success
0.76Enemies flashed / flash
6.6%Flash assists
11.40HE damage / grenade
13.98Flashes / 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.

0% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0118%28 Oct →
dust25–13-0.0936%22 Oct →
mirage13–1-0.0133%22 Oct →
nuke12–12-0.0527%21 Oct →
vertigo13–11-0.0722%21 Oct →
cache1–13-0.0417%21 Oct →
inferno22–200.0519%18 Oct →
cache13–3-0.048%18 Oct →
dust28–130.0022%8 Oct →
cache1–13-0.0224%8 Oct →
cache13–9-0.0513%7 Oct →
train13–11-0.0733%7 Oct →
ancient11–13-0.0113%6 Oct →
inferno11–13-0.009%6 Oct →
cache10–130.0113%1 Oct →
nuke3–13-0.0717%30 Sept →
inferno12–12-0.0925%30 Sept →
cache10–13-0.067%30 Sept →
inferno13–16-0.0319%29 Sept →
dust23–13-0.0917%28 Sept →
inferno5–13-0.0522%28 Sept →
cache5–13-0.0446%27 Sept →
vertigo13–0-0.0319%27 Sept →
overpass6–1-0.0620%27 Sept →
nuke5–13-0.1014%27 Sept →
inferno2–13-0.0723%27 Sept →
nuke11–13-0.0316%27 Sept →
cache13–8-0.0121%27 Sept →
cache13–11-0.0914%25 Sept →
ancient13–9-0.0123%25 Sept →
mirage13–8-0.0510%25 Sept →
dust213–7-0.0912%25 Sept →
inferno13–4-0.0220%25 Sept →
cache13–5-0.0323%25 Sept →
cache13–5-0.0938%25 Sept →
nuke5–13-0.0125%25 Sept →
vertigo13–90.0227%25 Sept →
cache5–130.0716%23 Sept →
dust213–30.0226%23 Sept →
mirage13–20.0527%23 Sept →
dust213–70.0226%21 Sept →
inferno11–13-0.0729%19 Sept →
anubis13–60.0121%19 Sept →
mirage2–13-0.0520%19 Sept →
cache13–10-0.0120%19 Sept →
anubis11–13-0.0117%16 Sept →
dust213–70.0023%16 Sept →
dust24–13-0.1014%9 Sept →
vertigo10–13-0.0325%9 Sept →
vertigo9–13-0.0626%20 Aug →
cache11–3-0.0517%20 Aug →
poseidon2–9-0.270%20 Aug →
overpass6–9-0.1229%20 Aug →
debris4–9-0.1725%20 Aug →
inferno1–9-0.1417%20 Aug →
fachwerk9–13-0.0126%5 Aug →
cache1–13-0.0319%5 Aug →
shelter1–13-0.095%4 Aug →
mirage9–130.0220%24 Jul →
inferno6–130.0018%24 Jul →
cache1–13-0.067%23 Jul →
anubis11–13-0.0813%23 Jul →
cache12–12-0.0215%23 Jul →
cache13–10-0.0215%23 Jul →
mirage9–130.0113%23 Jul →
nuke4–130.0416%23 Jul →
cache11–13-0.0618%22 Jul →
dust215–15-0.0519%22 Jul →
nuke9–13-0.0421%22 Jul →
ancient13–50.0416%22 Jul →
nuke9–13-0.0922%22 Jul →
cache13–4-0.0534%21 Jul →
fachwerk13–9-0.0426%21 Jul →
cache11–10-0.0224%5 Jul →
cache13–6-0.029%5 Jul →
cache8–13-0.0522%5 Jul →
inferno12–120.0423%5 Jul →
cache12–12-0.0520%17 Jun →
cache8–13-0.0626%16 Jun →
cache10–1-0.0617%16 Jun →
cache13–1-0.0014%16 Jun →
cache11–130.0118%16 Jun →
cache10–13-0.0316%14 Jun →
cache10–13-0.0919%14 Jun →
cache5–13-0.0014%14 Jun →
cache9–13-0.1014%14 Jun →
cache9–13-0.0311%14 Jun →
overpass10–130.0211%13 Jun →
dust211–13-0.0717%13 Jun →
dust25–13-0.015%13 Jun →
inferno13–11-0.0217%13 Jun →
inferno8–130.0517%13 Jun →
cache13–6-0.0520%13 Jun →
cache13–10-0.0418%13 Jun →
cache13–9-0.0623%12 Jun →
cache5–13-0.0816%12 Jun →
cache5–130.0223%12 Jun →
cache6–13-0.0514%2 Jun →
cache5–130.0119%2 Jun →
cache13–20.0419%1 Jun →

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.