Insilence

Insilence — CS2 Stats

76561197982667500[U:1:22401772]Steam profile ↗✓ No bans

865Tracked matches38%Win rate2025Tracked since
727Hours in CS12Hrs last 2 wks
CSDB Rating3.8 LearningSupport
Premier CS Rating4,687Grey band · top ~80.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

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

No change since then. 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. 32 days played since 3 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 4,687 -805 3 Aug – 23 Sept · 33 days played
4,6397,537peak 7,5373 Aug23 Sept
7,537Peak Premier in tracked matches
32Days played since 2026-08-03

Premier CS Rating

  • 2,850 below peak (7,537)
  • -564 over 30 days · declining
  • Next: Light Blue band at 5,000 — 313 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-31

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 Grey band among CSDB-tracked players (n=3,644), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate44.0%38.2%39.9%above
Shot accuracy1.8%3.6%6.9%5.1% short
Kill/death ratio0.760.830.920.16 short
Match win rate43.2%40.2%42.3%above

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGInsilencePREMIER4,687 · Grey bandcsdb.gg/stats

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Performance scores

Aim46
Positioning47
Utility47

0–100 skill scores via Leetify.

Recent form

COLD41–55–4Last 10041%Win rateWLLLTWLLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −4.4pp headshot accuracy · +63ms reaction

Win rate down 40pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 633ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 681ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 650ms

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 (+2.3 against its own average).

Aim4.6
Utility4.7
Positioning4.7
Opening Duels0.1
Clutch0.0

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

Twistzz

Plays most like Twistzz 75% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 660ms 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

Aim4.6
Positioning4.7
Utility4.7
Mechanics6.7
Opening Duels0.4
Win Impact1.0

Composite 3.8/10 (Learning), 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-0.01+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time655ms−59ms
first ⅓ avg 714ms → last ⅓ avg 655ms
Headshot accuracy14.0%+0.5%
first ⅓ avg 13.5% → last ⅓ avg 14.0%

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

0.13Best match rating · 13–3 · mirage, 6 Sept →
35%Best headshot accuracy · 8–13 · mirage, 7 Aug →
477msFastest reaction time · 2–9 · vertigo, 15 Aug →
13–1Biggest win · nuke, 4 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 68% over 22mirageWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.04
nukeS2215–768%0.00
dust2D216–1529%-0.02
ancientD124–833%-0.04
mirageD101–910%-0.02
cacheB63–350%-0.04
anubisD51–420%-0.05
overpass—11–0100%-0.04
vertigo—10–10%-0.15

Across the last 100 tracked matches.

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

Lifetime stats

12,789Lifetime kills
0.76K/D
1,079Matches
43.2%Match win rate · Top 50% of Grey band
44.0%Headshot % · Top 25% of Grey band
1.8%Shot accuracy
1,702MVPs
410Hours (in match)
1,540Bombs planted
264Bombs defused

Most-used weapons

Lifetime map wins

3,067dust2
2,203nuke
1,139inferno
71train
31vertigo
7ar_shoots
4office
4dust

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

Faceit stats

Combat

3Matches
33%Win rate
0.18Avg K/D
28.9ADR
67%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.142.5
Inferno10%0.254.0

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.

13.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.6%Spray accuracy
80.1%Counter-strafing
11.0°Preaim
660msReaction time
32.6%T opening success
30.4%CT opening success
0.54Enemies flashed / flash
5.0%Flash assists
7.04HE damage / grenade
4.08Flashes / 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 13.2867% — below the 15% mark we flag

    Aim Training →
  2. 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 32.629% — below the 40% mark we flag

Spend your practice time on Mirage

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

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0310%23 Sept →
cache4–13-0.0121%23 Sept →
ancient3–13-0.096%21 Sept →
dust211–130.0119%21 Sept →
inferno8–8-0.0617%21 Sept →
nuke13–2-0.0210%17 Sept →
nuke11–13-0.0510%17 Sept →
nuke6–13-0.0813%15 Sept →
ancient2–13-0.039%15 Sept →
anubis5–13-0.098%14 Sept →
dust213–90.0015%14 Sept →
nuke11–13-0.0612%11 Sept →
dust215–150.0119%11 Sept →
nuke13–11-0.0211%10 Sept →
mirage11–130.0222%10 Sept →
overpass9–7-0.0410%8 Sept →
inferno9–4-0.0223%8 Sept →
inferno13–10-0.0222%8 Sept →
dust213–40.0823%8 Sept →
mirage7–13-0.0511%7 Sept →
mirage13–30.1316%6 Sept →
nuke14–160.0215%6 Sept →
dust28–13-0.017%6 Sept →
ancient5–13-0.059%6 Sept →
anubis13–16-0.054%5 Sept →
dust213–6-0.0615%5 Sept →
mirage11–130.0214%5 Sept →
dust210–130.0421%4 Sept →
nuke13–20.075%4 Sept →
nuke13–10.1010%4 Sept →
nuke13–16-0.0510%4 Sept →
inferno5–9-0.0327%2 Sept →
nuke13–100.0217%2 Sept →
anubis9–13-0.048%1 Sept →
dust211–13-0.039%1 Sept →
dust25–130.0215%31 Aug →
mirage10–13-0.0715%30 Aug →
inferno13–4-0.0213%30 Aug →
dust213–7-0.057%30 Aug →
inferno10–13-0.0320%29 Aug →
inferno13–40.0428%29 Aug →
nuke13–20.028%29 Aug →
ancient16–12-0.037%29 Aug →
inferno11–13-0.0718%29 Aug →
mirage4–13-0.0720%20 Aug →
cache10–13-0.055%20 Aug →
ancient13–11-0.0511%20 Aug →
nuke13–80.0211%19 Aug →
ancient10–13-0.0213%19 Aug →
dust27–13-0.0110%19 Aug →
inferno5–13-0.0111%17 Aug →
ancient10–13-0.0319%17 Aug →
nuke13–20.1013%17 Aug →
inferno13–90.0421%16 Aug →
nuke13–50.047%16 Aug →
dust210–130.0113%16 Aug →
nuke13–100.029%16 Aug →
ancient6–13-0.0615%15 Aug →
dust211–13-0.0115%15 Aug →
inferno10–13-0.0821%15 Aug →
mirage7–13-0.0412%15 Aug →
inferno9–6-0.067%15 Aug →
vertigo2–9-0.1522%15 Aug →
inferno9–13-0.0713%14 Aug →
nuke13–10-0.0110%14 Aug →
dust210–13-0.079%14 Aug →
dust29–13-0.0214%14 Aug →
ancient5–1-0.0514%14 Aug →
inferno10–13-0.0719%13 Aug →
anubis9–13-0.0410%13 Aug →
nuke8–13-0.0410%13 Aug →
nuke13–10-0.0316%12 Aug →
nuke13–8-0.0412%12 Aug →
inferno4–13-0.0623%12 Aug →
ancient13–70.0220%11 Aug →
ancient6–13-0.056%11 Aug →
dust210–13-0.078%11 Aug →
cache13–90.018%11 Aug →
inferno8–80.0313%10 Aug →
inferno16–13-0.0313%10 Aug →
dust21–13-0.110%10 Aug →
inferno13–10-0.068%9 Aug →
mirage11–13-0.093%9 Aug →
cache13–5-0.0711%9 Aug →
cache6–13-0.0511%9 Aug →
mirage9–13-0.033%9 Aug →
dust213–3-0.048%9 Aug →
inferno9–13-0.0714%8 Aug →
nuke13–80.0327%8 Aug →
dust24–13-0.0822%7 Aug →
nuke13–110.0313%7 Aug →
mirage8–13-0.0535%7 Aug →
inferno15–15-0.0914%7 Aug →
nuke6–13-0.0310%6 Aug →
dust26–130.0218%6 Aug →
anubis13–11-0.0212%6 Aug →
ancient9–13-0.0419%6 Aug →
dust216–14-0.0421%6 Aug →
inferno9–6-0.0213%3 Aug →
cache13–8-0.0513%3 Aug →

Match data via Leetify.

Recent teammates

Milestones

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