Insomnia

Insomnia — CS2 Stats

AU76561198066843506[U:1:106577778]Steam profile ↗✓ No bans

7,290Tracked matches47%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating20,000Top 50% of 204,219 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#79895 of 251317 tracked
FaceitLevel 10 · 1,993 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 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: 20,000 -1,638 28 Aug – 9 Oct · 17 days played
19,48221,705peak 21,70528 Aug9 Oct
Faceit ELO: 1,993 +0 28 Aug – 2 Sept · 2 observations
1,9931,993peak 1,99328 Aug2 Sept
21,705Peak Premier in tracked matches
1,993Highest Faceit ELO seen on CSDB
27Days played since 2026-08-28

Faceit ELO

  • At peak — 1,993
  • Next: Level 10 at 2,001 — 8 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier CS Rating

  • 1,705 below peak (21,705)
  • -1,264 over 30 days · declining
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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.

Share this profile

CSDB.GGInsomniaFACEITLevel 10 · 1,993 ELOSTANDINGTop 12.4% of rankedPREMIER20,000 · Pink bandPEAK ELO1,993csdb.gg/stats

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Performance scores

Aim90
Positioning66
Utility21

0–100 skill scores via Leetify.

Recent form

COLD48–52Last 10048%Win rateLLLWWLLLWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −9.2pp headshot accuracy · −12ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 478ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 481ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 487ms

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: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim9.0
Utility2.1
Positioning6.6
Opening Duels4.3
Clutch3.4

Sharp aimerStrong CT-side openerLimited 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

donk

Plays most like donk 75% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0
Positioning6.6
Utility2.1
Mechanics6.9
Opening Duels6.0
Win Impact3.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time509ms+6ms
first ⅓ avg 503ms → last ⅓ avg 509ms
Headshot accuracy22.4%+4.1%
first ⅓ avg 18.3% → last ⅓ avg 22.4%

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

0.12Best match rating · 13–11 · dust2, 9 Oct →
53%Best headshot accuracy · 4–13 · dust2, 4 Oct →
359msFastest reaction time · 10–13 · ancient, 12 Sept →
13–1Biggest win · nuke, 28 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
11–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 56% over 18cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
anubisA1810–856%0.01
mirageB179–853%-0.01
infernoB168–850%-0.01
dust2C146–843%-0.00
nukeB136–746%0.00
ancientB136–746%0.02
cacheD93–633%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

3,836Matches
49%Win rate
1.15Avg K/D
77.2ADR
33%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis79854%1.2017.0
Ancient61844%1.1416.6
Mirage60247%1.0815.3
Dust259248%1.1216.4
Inferno48551%1.1717.3
Nuke33953%1.2017.0
Vertigo13450%1.1516.8
Cache5054%1.1115.5

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.

22.4%Headshot accuracy
40.1%Accuracy (enemy spotted)
37.9%Spray accuracy
80.9%Counter-strafing
8.0°Preaim
496msReaction time
52.9%T opening success
54.9%CT opening success
0.39Enemies flashed / flash
5.1%Flash assists
10.38HE damage / grenade
1.82Flashes / 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. 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 0.3929 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0121%10 Oct →
nuke8–130.0312%10 Oct →
anubis9–130.0218%10 Oct →
dust219–170.0720%10 Oct →
dust213–110.1221%9 Oct →
inferno7–13-0.0319%9 Oct →
dust25–13-0.0810%9 Oct →
inferno0–13-0.006%9 Oct →
anubis13–110.0118%9 Oct →
inferno7–130.0125%8 Oct →
mirage13–7-0.0019%8 Oct →
cache13–90.0531%8 Oct →
anubis11–13-0.0242%7 Oct →
nuke11–13-0.0018%7 Oct →
nuke13–9-0.0035%7 Oct →
anubis13–110.0327%7 Oct →
inferno13–70.0134%7 Oct →
dust213–16-0.0516%6 Oct →
anubis9–13-0.0019%6 Oct →
cache2–8-0.0620%6 Oct →
ancient13–10-0.0235%5 Oct →
ancient9–13-0.016%5 Oct →
ancient13–60.0616%5 Oct →
dust213–80.0122%5 Oct →
anubis13–50.0315%5 Oct →
mirage5–13-0.0514%4 Oct →
nuke10–13-0.0422%4 Oct →
dust24–13-0.0753%4 Oct →
dust213–100.0125%4 Oct →
nuke13–40.0528%4 Oct →
nuke13–110.0826%3 Oct →
mirage13–110.0517%3 Oct →
cache13–110.0328%3 Oct →
inferno13–7-0.0213%3 Oct →
ancient13–60.1026%1 Oct →
mirage7–13-0.0111%1 Oct →
inferno13–10-0.0423%30 Sept →
inferno16–140.0123%30 Sept →
nuke7–13-0.0517%30 Sept →
anubis11–13-0.0211%29 Sept →
nuke13–10.0220%28 Sept →
anubis16–140.045%28 Sept →
mirage9–13-0.0316%28 Sept →
mirage0–13-0.0917%28 Sept →
anubis13–90.0213%26 Sept →
ancient12–16-0.068%26 Sept →
cache8–130.0116%26 Sept →
inferno9–13-0.0521%26 Sept →
mirage13–9-0.0212%26 Sept →
dust29–13-0.0838%26 Sept →
ancient16–12-0.0120%26 Sept →
dust216–190.0720%25 Sept →
anubis19–220.0119%25 Sept →
inferno3–13-0.0512%25 Sept →
dust216–14-0.0021%24 Sept →
inferno5–13-0.0721%23 Sept →
dust213–100.0719%23 Sept →
cache13–7-0.0111%22 Sept →
ancient9–13-0.0023%22 Sept →
cache8–13-0.0619%22 Sept →
inferno16–130.0515%22 Sept →
dust211–13-0.0621%21 Sept →
anubis8–130.0320%21 Sept →
inferno14–16-0.0113%20 Sept →
ancient7–13-0.0538%19 Sept →
cache2–13-0.0312%19 Sept →
anubis13–90.0526%19 Sept →
anubis13–6-0.0523%19 Sept →
mirage6–13-0.0712%19 Sept →
mirage16–130.0131%19 Sept →
inferno13–7-0.0521%18 Sept →
ancient13–40.1021%18 Sept →
nuke13–70.0227%17 Sept →
mirage5–13-0.1012%17 Sept →
anubis11–13-0.0024%17 Sept →
dust210–13-0.0415%17 Sept →
anubis9–130.019%16 Sept →
mirage11–130.0431%16 Sept →
mirage3–00.000%16 Sept →
cache10–130.0221%16 Sept →
mirage8–13-0.0211%16 Sept →
ancient3–13-0.139%16 Sept →
mirage13–7-0.047%16 Sept →
mirage13–10.0417%16 Sept →
inferno11–13-0.0311%15 Sept →
dust29–13-0.016%15 Sept →
nuke13–70.0319%15 Sept →
mirage13–110.0517%15 Sept →
anubis13–10-0.0116%13 Sept →
cache6–13-0.085%13 Sept →
nuke5–13-0.0622%13 Sept →
ancient3–130.0946%12 Sept →
anubis13–90.0325%12 Sept →
ancient10–130.0429%12 Sept →
ancient13–50.0931%12 Sept →
anubis13–80.0220%12 Sept →
inferno16–120.016%11 Sept →
nuke3–13-0.0416%11 Sept →
mirage13–40.0525%11 Sept →
inferno13–80.0420%11 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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