Indecent

Indecent — CS2 Stats

76561199209222225[U:1:1248956497]Steam profile ↗✓ No bans

92Tracked matches43%Win rate2024Tracked since
141Hours in CS1Hrs last 2 wks
CSDB Rating3.3 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 92 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 54 days played since 2 Nov 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,476 -1,524 5 Jun27 Dec · 24 days played
12,35615,760peak 15,7605 Jun27 Dec
15,760Peak Premier in tracked matches
54Days played since 2024-11-02

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

Performance scores

Aim37
Positioning42
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY4448Last 9248%Win rateWLLLWLWLWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.1pp headshot accuracy · −39ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 32%
  • Avg reaction 724ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 761ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 781ms

Newest first, from the last 92 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim3.7
Utility1.3
Positioning4.2
Opening Duels1.2

Limited utility dependence

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

iM

Plays most like iM 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 750ms 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

Aim3.7
Positioning4.2
Utility1.3
Mechanics5.3
Opening Duels1.2
Win Impact2.8

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time749ms+76ms
first ⅓ avg 673ms → last ⅓ avg 749ms
Headshot accuracy21.4%+4.4%
first ⅓ avg 16.9% → last ⅓ avg 21.4%

Rolling 5-match average across the last 92 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 2–0 · dust2, 3 Aug
100%Best headshot accuracy · 2–0 · dust2, 3 Aug
453msFastest reaction time · 9–13 · inferno, 7 Jul
13–1Biggest win · dust2, 26 Sept

Across the last 92 tracked matches.

Highlights

4Longest win streak
24In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 71% over 17anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC23101343%0.00
infernoD1841422%-0.03
ancientS1712571%-0.01
dust2A148657%0.02
overpassA95456%0.03
anubisD61517%-0.01
train32167%-0.01
nuke220100%0.01

Across the last 92 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,812Lifetime kills
0.94K/D
209Matches
43.5%Match win rate
43.7%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
451MVPs
69Hours (in match)
195Bombs planted
48Bombs defused

Most-used weapons

Lifetime map wins

540dust2
192inferno
33nuke
26train
4vertigo

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.8%Headshot accuracy
29.0%Accuracy (enemy spotted)
28.1%Spray accuracy
73.8%Counter-strafing
9.0°Preaim
750msReaction time
28.7%T opening success
39.3%CT opening success
0.20Enemies flashed / flash
1.4%Flash assists
5.17HE damage / grenade
1.92Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 750.4636ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2044 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 28.7189% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust22–00.23100%3 Aug
dust22–13-0.1211%21 Mar
dust27–13-0.0518%7 Mar
inferno4–13-0.0913%4 Mar
anubis13–10-0.0820%4 Mar
mirage10–13-0.0414%3 Mar
dust213–8-0.0420%1 Mar
train0–13-0.0513%1 Mar
ancient13–80.0121%1 Mar
mirage12–16-0.0621%27 Dec
ancient13–9-0.078%23 Dec
mirage10–13-0.0531%23 Dec
inferno13–7-0.0532%23 Dec
inferno5–10-0.0148%23 Dec
inferno5–13-0.1315%19 Dec
mirage7–13-0.1118%18 Dec
dust213–30.0821%18 Dec
mirage3–13-0.0432%16 Dec
inferno9–13-0.0415%16 Dec
mirage10–13-0.0719%13 Dec
inferno11–13-0.0512%2 Oct
inferno13–80.0215%2 Oct
ancient9–130.0118%2 Oct
overpass6–130.0312%1 Oct
dust213–10.0820%26 Sept
overpass5–13-0.0115%26 Sept
overpass13–80.084%25 Sept
ancient13–80.0114%23 Sept
train13–6-0.0128%22 Sept
dust213–60.0217%12 Sept
overpass9–130.0416%12 Sept
overpass13–40.1018%11 Sept
dust213–60.0612%9 Sept
dust213–100.0112%6 Sept
inferno7–13-0.0512%6 Sept
dust213–160.068%6 Sept
ancient13–90.0115%5 Sept
dust213–40.009%28 Aug
mirage13–70.0115%28 Aug
inferno8–13-0.0225%25 Aug
overpass10–13-0.0110%25 Aug
inferno2–10-0.019%25 Aug
overpass13–60.067%25 Aug
inferno10–13-0.0017%21 Aug
dust211–13-0.0315%21 Aug
ancient13–6-0.0023%21 Aug
mirage13–40.0613%14 Aug
mirage9–130.0315%14 Aug
ancient0–13-0.077%13 Aug
mirage2–130.0122%13 Aug
mirage5–13-0.0229%12 Aug
nuke13–70.0025%12 Aug
dust210–130.0321%12 Aug
overpass16–130.0111%11 Aug
ancient13–30.067%10 Aug
mirage8–13-0.0021%10 Aug
ancient3–13-0.1216%10 Aug
mirage7–4-0.0220%20 Jul
overpass13–4-0.0013%16 Jul
mirage9–13-0.026%16 Jul
inferno11–13-0.0119%12 Jul
mirage8–13-0.0422%12 Jul
train13–100.0216%12 Jul
inferno9–13-0.0217%7 Jul
ancient13–80.0827%7 Jul
inferno7–13-0.0713%30 Jun
anubis5–13-0.0418%30 Jun
dust28–13-0.0614%30 Jun
ancient16–12-0.0225%26 Jun
anubis10–13-0.0218%26 Jun
ancient13–10.0310%23 Jun
inferno10–130.1025%19 Jun
inferno13–9-0.0117%19 Jun
nuke13–110.0223%14 Jun
ancient13–100.0711%11 Jun
ancient6–13-0.0313%8 Jun
anubis11–130.0421%5 Jun
mirage13–10.1728%26 May
ancient0–13-0.050%26 May
mirage13–5-0.0117%21 May
mirage13–6-0.0518%13 May
inferno9–13-0.0718%12 May
ancient13–9-0.0510%12 May
inferno13–50.0120%12 May
anubis9–130.0819%28 Mar
mirage4–130.0213%16 Jan
mirage13–9-0.038%10 Jan
ancient13–50.018%19 Dec
mirage13–30.1521%27 Nov
mirage13–7-0.0222%27 Nov
anubis8–13-0.0125%4 Nov
mirage13–40.1514%2 Nov

Match data via Leetify.

Recent teammates

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