Idle Stark

Idle Stark — CS2 Stats

AR76561198048784233[U:1:88518505]Steam profile ↗✓ No bans

565Tracked matches67%Win rate2021Tracked since
CSDB Rating7.7 StrongAll-Rounder
Premier CS Rating26,596Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#9389 of 261516 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 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: 26,596 +1,863 25 Jun – 7 Nov · 17 days played
24,67926,596peak 26,59625 Jun7 Nov
26,596Peak Premier in tracked matches
51Days played since 2026-06-17

Premier CS Rating

  • At peak — 26,596
  • +531 over 30 days · improving
  • Next: Gold band at 30,000 — 3,404 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-24
  • Pink band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGIdle StarkFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER26,596 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning65
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateWWWLLWWWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.0pp headshot accuracy · −81ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 530ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 542ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.0
Utility7.1
Positioning6.5
Opening Duels5.7
Clutch7.2

Strong T-side openerEffective flashesReliable in 1v1s

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 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 70% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 572ms 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

Aim8.0
Positioning6.5
Utility7.1
Mechanics6.1
Opening Duels6.8
Win Impact10.0

Composite 7.7/10 (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 rating0.04+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time563ms−30ms
first ⅓ avg 593ms → last ⅓ avg 563ms
Headshot accuracy16.9%+2.0%
first ⅓ avg 14.9% → last ⅓ avg 16.9%

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 · 13–0 · dust2, 20 Jul →
33%Best headshot accuracy · 1–13 · dust2, 11 Sept →
391msFastest reaction time · 13–7 · dust2, 20 Aug →
13–0Biggest win · dust2, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
12–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 73% over 11infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B3919–2049%0.03
mirageS2215–768%0.05
cacheS118–373%0.02
anubisS96–367%0.01
nukeB63–350%0.05
infernoC52–340%0.02
train—32–167%0.07
vertigo—22–0100%0.15
overpass—22–0100%0.01
ancient—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

36Matches
56%Win rate
1.41Avg K/D
98.9ADR
44%Headshot %

Clutches & streaks

56%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2967%1.4320.6
Mirage683%1.8519.7
Anubis333%1.7623.3
Nuke1100%2.3626.0

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.

16.0%Headshot accuracy
42.7%Accuracy (enemy spotted)
43.3%Spray accuracy
77.6%Counter-strafing
10.5°Preaim
572msReaction time
69.9%T opening success
44.8%CT opening success
0.78Enemies flashed / flash
6.5%Flash assists
10.75HE damage / grenade
11.50Flashes / match

Recommended for you

Spend your practice time on Inferno

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 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–80.0916%9 Nov →
mirage13–60.0011%7 Nov →
cache13–60.0320%31 Oct →
mirage9–130.0814%28 Oct →
dust26–130.0613%24 Oct →
cache13–110.0116%24 Oct →
cache13–30.0222%22 Oct →
cache13–80.0919%22 Oct →
cache13–110.0522%21 Oct →
inferno8–130.0113%16 Oct →
mirage13–70.0822%9 Oct →
train13–30.0921%9 Oct →
nuke13–110.0319%7 Oct →
dust213–40.045%6 Oct →
dust211–130.0616%6 Oct →
mirage12–16-0.0113%4 Oct →
dust213–80.0219%2 Oct →
mirage13–20.0215%30 Sept →
dust210–10.0215%28 Sept →
anubis13–30.1020%26 Sept →
mirage11–130.1212%23 Sept →
mirage13–110.0425%23 Sept →
inferno12–16-0.019%23 Sept →
cache8–13-0.0114%23 Sept →
anubis13–50.015%21 Sept →
dust213–6-0.0418%21 Sept →
anubis13–40.0021%16 Sept →
nuke13–70.0722%14 Sept →
dust28–130.0311%14 Sept →
anubis3–13-0.0914%14 Sept →
dust213–10.1825%14 Sept →
dust21–13-0.1033%11 Sept →
dust210–130.0618%11 Sept →
nuke13–60.1215%10 Sept →
dust24–13-0.0027%9 Sept →
dust213–100.0226%9 Sept →
dust25–13-0.0220%8 Sept →
mirage13–20.0926%8 Sept →
anubis11–130.0922%8 Sept →
mirage13–40.0115%8 Sept →
cache13–8-0.0633%7 Sept →
dust29–13-0.0220%4 Sept →
cache16–140.0218%3 Sept →
dust215–150.0210%3 Sept →
mirage13–90.0111%30 Aug →
mirage5–130.0512%29 Aug →
nuke1–50.0420%29 Aug →
cache10–130.0016%28 Aug →
cache9–130.066%26 Aug →
mirage13–90.0813%26 Aug →
dust216–140.0617%26 Aug →
dust213–20.0220%26 Aug →
dust213–160.0220%24 Aug →
dust213–80.1313%24 Aug →
dust210–130.057%24 Aug →
dust213–100.0719%22 Aug →
mirage13–100.0313%22 Aug →
mirage13–50.1721%20 Aug →
dust213–70.0119%20 Aug →
dust213–100.0517%19 Aug →
mirage15–150.0224%19 Aug →
mirage13–50.0020%8 Aug →
dust210–130.0319%5 Aug →
mirage13–40.1023%3 Aug →
dust28–13-0.0023%31 Jul →
vertigo13–110.1118%30 Jul →
vertigo13–60.1823%29 Jul →
anubis13–3-0.0121%23 Jul →
dust21–13-0.0325%23 Jul →
dust212–120.039%23 Jul →
anubis4–13-0.0610%23 Jul →
dust213–00.2118%20 Jul →
mirage6–13-0.0016%19 Jul →
dust212–120.0319%19 Jul →
inferno13–110.0414%10 Jul →
dust213–100.0111%10 Jul →
anubis13–40.099%5 Jul →
anubis13–3-0.040%5 Jul →
nuke2–130.0213%5 Jul →
dust213–10-0.0217%5 Jul →
dust20–13-0.0621%5 Jul →
mirage13–110.0221%5 Jul →
mirage6–130.0313%5 Jul →
inferno9–130.0115%5 Jul →
dust28–130.1014%5 Jul →
cache13–110.0018%1 Jul →
dust213–110.0323%29 Jun →
mirage13–2-0.0117%29 Jun →
overpass13–70.0520%25 Jun →
inferno13–70.0320%25 Jun →
ancient1–13-0.070%25 Jun →
mirage13–10.1029%25 Jun →
nuke9–130.0010%25 Jun →
overpass13–6-0.047%24 Jun →
dust28–00.0513%24 Jun →
dust212–120.0816%24 Jun →
dust213–9-0.0011%17 Jun →
dust25–13-0.0219%17 Jun →
train13–110.0913%17 Jun →
train8–130.0415%17 Jun →

Match data via Leetify.

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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