IDOLET

IDOLET — CS2 Stats

76561198027861252[U:1:67595524]Steam profile ↗VAC banned

387Tracked matches39%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating13,649Blue band · top ~35.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (34 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 387 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,649 -1,176 17 May – 23 Sept · 20 days played
13,64915,115peak 15,11517 May23 Sept
15,115Peak Premier in tracked matches
51Days played since 2025-05-17

Premier CS Rating

  • 1,466 below peak (15,115)
  • 0 over 30 days · steady
  • 0 over 90 days
  • Next: Purple band at 15,000 — 1,351 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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

Share this profile

CSDB.GGIDOLETFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER13,649 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning50
Utility55

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateTLLLLWLTWL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · +13.5pp headshot accuracy · +89ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 30%
  • Avg reaction 747ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 686ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 641ms

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 against its own average).

Aim4.9
Utility5.5
Positioning5.0
Opening Duels2.9
Clutch4.6

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

Twistzz

Plays most like Twistzz 78% 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. 632ms 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

Aim4.9
Positioning5.0
Utility5.5
Mechanics4.6
Opening Duels2.5
Win Impact1.4

Composite 4.2/10 (Developing), 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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time640ms+12ms
first ⅓ avg 629ms → last ⅓ avg 640ms
Headshot accuracy18.0%+7.7%
first ⅓ avg 10.2% → last ⅓ avg 18.0%

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

0.14Best match rating · 13–4 · inferno, 19 Jun →
50%Best headshot accuracy · 8–8 · inferno, 24 Jun →
359msFastest reaction time · 8–2 · inferno, 9 Jun →
13–3Biggest win · jura, 4 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 53% over 30ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB3016–1453%-0.02
nukeB2211–1150%-0.01
anubisC166–1038%-0.01
mirageB84–450%-0.01
ancientD51–420%-0.02
trainC52–340%0.00
overpass—42–250%-0.02
dust2—32–167%0.01
agency—22–0100%0.05
brewery—21–150%-0.10
jura—21–150%-0.01
sanctum—10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches
55%Win rate
1.08Avg K/D
76.1ADR
33%Headshot %

Clutches & streaks

43%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2259%1.1316.7
Inferno1968%1.2715.4
Nuke1856%1.0315.5
Vertigo1040%0.8914.5
Mirage1060%1.2717.9
Train540%0.9514.6
Dust2560%1.1514.8
Ancient520%0.8816.4

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.

16.3%Headshot accuracy
30.2%Accuracy (enemy spotted)
40.0%Spray accuracy
70.8%Counter-strafing
10.5°Preaim
632msReaction time
33.5%T opening success
46.6%CT opening success
0.57Enemies flashed / flash
3.2%Flash assists
7.94HE damage / grenade
10.28Flashes / 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. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.5481% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–8-0.0950%24 Jun →
nuke5–13-0.0322%21 Jun →
inferno2–13-0.0420%16 Jun →
overpass8–13-0.1150%10 Jun →
anubis5–13-0.0110%9 Jun →
inferno8–20.0733%9 Jun →
nuke5–13-0.0529%4 Jun →
anubis15–15-0.0417%4 Jun →
inferno13–10-0.0221%2 Jun →
nuke4–13-0.0413%1 Jun →
anubis4–13-0.0142%1 Jun →
inferno10–13-0.034%31 May →
ancient5–13-0.026%31 May →
anubis13–90.0917%28 May →
overpass13–40.0014%28 May →
anubis2–13-0.090%27 May →
mirage11–13-0.0017%26 May →
anubis7–130.014%25 May →
nuke13–110.0410%25 May →
anubis15–150.0016%25 May →
inferno13–40.0210%25 May →
dust213–10-0.0121%24 May →
ancient13–100.018%24 May →
overpass11–130.029%24 May →
nuke7–13-0.0225%24 May →
nuke13–9-0.0912%24 May →
inferno2–13-0.0318%22 May →
nuke9–130.0526%21 May →
anubis13–6-0.0310%19 May →
overpass4–10.0017%19 May →
inferno1–130.0320%19 May →
nuke6–130.0314%18 May →
ancient11–13-0.0310%17 May →
mirage13–60.0112%17 May →
inferno9–13-0.1021%17 May →
nuke13–11-0.0220%14 May →
anubis6–13-0.0116%13 May →
mirage9–130.0013%12 May →
sanctum8–80.000%12 May →
inferno8–80.0418%12 May →
inferno13–10-0.0413%11 May →
anubis15–15-0.0111%11 May →
mirage13–7-0.064%10 May →
inferno13–11-0.038%8 May →
inferno9–13-0.0412%7 May →
inferno13–6-0.080%24 Mar →
nuke13–8-0.079%24 Mar →
inferno9–13-0.0616%23 Mar →
inferno13–100.0214%22 Dec →
inferno13–40.077%21 Dec →
nuke3–13-0.0717%21 Dec →
mirage8–13-0.0120%27 Jun →
anubis13–6-0.0310%26 Jun →
inferno13–40.1423%19 Jun →
ancient5–130.0112%19 Jun →
nuke13–11-0.0511%18 Jun →
anubis8–130.017%16 Jun →
dust213–110.0613%16 Jun →
agency5–10.110%13 Jun →
agency9–2-0.0030%13 Jun →
mirage9–13-0.077%13 Jun →
nuke7–13-0.0317%13 Jun →
train7–13-0.0411%13 Jun →
anubis2–13-0.0617%11 Jun →
nuke10–60.0513%5 Jun →
inferno5–9-0.1124%5 Jun →
brewery8–8-0.1214%5 Jun →
inferno12–12-0.127%4 Jun →
jura11–130.0115%4 Jun →
jura13–3-0.038%4 Jun →
inferno9–4-0.052%4 Jun →
brewery9–5-0.0712%4 Jun →
inferno3–9-0.1813%4 Jun →
inferno13–7-0.0211%3 Jun →
anubis16–130.098%3 Jun →
anubis13–60.0419%1 Jun →
inferno13–60.107%1 Jun →
nuke13–50.025%29 May →
dust210–13-0.0213%29 May →
train13–110.0424%28 May →
inferno8–13-0.0114%28 May →
nuke16–12-0.028%28 May →
train13–4-0.025%28 May →
inferno13–7-0.0211%28 May →
inferno13–110.0312%27 May →
inferno17–19-0.0316%27 May →
anubis13–4-0.0411%27 May →
nuke3–13-0.036%26 May →
nuke13–60.0315%26 May →
ancient9–13-0.093%24 May →
train11–130.0421%23 May →
mirage13–80.046%23 May →
train11–13-0.0018%22 May →
nuke13–90.049%22 May →
nuke11–13-0.049%22 May →
inferno16–14-0.032%21 May →
nuke13–3-0.0210%19 May →
inferno13–7-0.019%19 May →
mirage13–40.0511%17 May →
nuke2–00.000%17 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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