Insomnia

Insomnia — CS2 Stats

BE76561198315760983[U:1:355495255]Steam profile ↗✓ No bans

926Tracked matches46%Win rate2021Tracked since
1,777Hours in CS33Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating15,383Purple band · top ~26.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 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: 15,383 +384 4 Sept – 13 Nov · 35 days played
14,08517,522peak 17,5224 Sept13 Nov
17,826Peak Premier in tracked matches
33Days played since 2026-09-04

Premier CS Rating

  • 2,139 below peak (17,522)
  • +268 over 30 days · steady
  • Next: Pink band at 20,000 — 4,617 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-04

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 Level 4 among CSDB-tracked players (n=14,911), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate45.6%42.7%43.8%above
Shot accuracy1.1%11.2%12.0%10.9% short
Kill/death ratio0.660.991.020.35 short
Match win rate36.4%43.9%44.7%8.3% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGInsomniaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,383 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73
Positioning66
Utility51

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWWLLTWLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · +33ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 9%
  • Avg reaction 478ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 499ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 482ms

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 (+1.5 against its own average).

Aim7.3
Utility5.1
Positioning6.6
Opening Duels4.7
Clutch3.8

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.3
Positioning6.6
Utility5.1
Mechanics7.5
Opening Duels6.8
Win Impact3.8

Composite 6.5/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time492ms−49ms
first ⅓ avg 541ms → last ⅓ avg 492ms
Headshot accuracy11.1%−4.3%
first ⅓ avg 15.4% → last ⅓ avg 11.1%

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 · 13–2 · nuke, 10 Oct →
29%Best headshot accuracy · 13–6 · cache, 31 Oct →
375msFastest reaction time · 8–13 · ancient, 1 Nov →
13–1Biggest win · nuke, 1 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 73% over 15infernoWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%0.00
ancientC176–1135%-0.00
nukeS1511–473%0.03
infernoD133–1023%-0.01
cacheB126–650%0.02
dust2A116–555%-0.00
anubisA85–363%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,042Lifetime kills
0.66K/D
2,479Matches
36.4%Match win rate
45.6%Headshot % · Top 50% of Level 4 players
1.1%Shot accuracy
3,771MVPs
945Hours (in match)
1,557Bombs planted
482Bombs defused

Most-used weapons

Lifetime map wins

3,305inferno
2,416nuke
2,400dust2
369vertigo
314train
29office
15lake
5italy

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

Faceit stats

Combat

50Matches
46%Win rate
1.17Avg K/D
82.4ADR
41%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1942%0.9915.2
Ancient743%1.3614.9
Inferno743%1.0218.3
Dust2540%0.9713.0
Nuke475%0.9612.3
Anubis425%1.4319.8
Vertigo2100%3.0219.0
Train1100%1.2515.0

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.

10.8%Headshot accuracy
34.8%Accuracy (enemy spotted)
40.1%Spray accuracy
83.9%Counter-strafing
10.2°Preaim
498msReaction time
57.6%T opening success
57.0%CT opening success
0.40Enemies flashed / flash
6.7%Flash assists
8.14HE damage / grenade
14.14Flashes / 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 10.8183% — below the 15% 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 0.4014 — below the 0.5 mark we flag

    Grenade Lineups →
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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.006%13 Nov →
anubis13–80.1113%13 Nov →
anubis13–10-0.0610%13 Nov →
mirage12–16-0.0010%12 Nov →
dust26–130.085%12 Nov →
inferno15–150.0312%11 Nov →
anubis13–90.0013%10 Nov →
inferno4–13-0.0619%9 Nov →
mirage13–16-0.0210%9 Nov →
mirage4–13-0.053%9 Nov →
mirage13–7-0.0115%8 Nov →
mirage8–13-0.038%7 Nov →
mirage10–13-0.025%7 Nov →
cache5–130.0713%7 Nov →
ancient13–40.0113%7 Nov →
nuke13–90.038%7 Nov →
nuke14–160.0216%5 Nov →
dust213–4-0.0322%5 Nov →
inferno10–130.006%5 Nov →
inferno11–130.0113%4 Nov →
dust213–11-0.0110%4 Nov →
mirage15–150.0112%4 Nov →
cache13–10-0.0118%4 Nov →
ancient13–8-0.047%4 Nov →
nuke13–90.022%4 Nov →
cache13–7-0.0012%4 Nov →
nuke13–100.0011%2 Nov →
ancient11–130.0111%2 Nov →
inferno6–130.069%2 Nov →
cache7–130.0312%2 Nov →
dust216–140.0310%2 Nov →
ancient8–130.0012%1 Nov →
nuke13–10.1120%1 Nov →
cache13–110.0526%1 Nov →
cache16–140.0212%1 Nov →
anubis13–90.0513%31 Oct →
anubis13–100.0810%31 Oct →
mirage13–100.048%31 Oct →
dust213–100.0116%31 Oct →
cache13–60.0529%31 Oct →
inferno6–13-0.024%30 Oct →
nuke13–5-0.0019%30 Oct →
cache4–13-0.0126%30 Oct →
mirage9–13-0.0213%29 Oct →
dust25–13-0.017%29 Oct →
mirage13–40.0515%29 Oct →
nuke13–90.0520%25 Oct →
nuke15–150.0515%25 Oct →
inferno2–13-0.028%24 Oct →
mirage16–140.027%15 Oct →
ancient10–13-0.0514%15 Oct →
mirage16–130.1021%15 Oct →
ancient4–13-0.0015%11 Oct →
mirage4–130.0020%11 Oct →
mirage7–13-0.0611%11 Oct →
ancient0–12-0.046%11 Oct →
dust26–13-0.0710%11 Oct →
inferno4–13-0.0816%10 Oct →
inferno5–13-0.0522%10 Oct →
nuke13–20.1221%10 Oct →
ancient10–13-0.0216%9 Oct →
ancient13–110.0215%9 Oct →
nuke5–130.0415%8 Oct →
mirage13–80.0116%5 Oct →
mirage13–7-0.055%5 Oct →
dust23–13-0.0013%23 Sept →
cache4–13-0.0711%22 Sept →
anubis9–13-0.0210%22 Sept →
dust213–80.019%22 Sept →
mirage8–13-0.0118%22 Sept →
mirage13–20.0625%22 Sept →
cache13–80.0414%21 Sept →
mirage13–90.0218%21 Sept →
ancient9–13-0.0227%21 Sept →
inferno13–100.0214%18 Sept →
nuke13–9-0.025%17 Sept →
ancient13–110.0321%17 Sept →
dust213–10-0.069%17 Sept →
ancient13–90.0320%16 Sept →
ancient10–13-0.0515%16 Sept →
mirage8–130.0115%16 Sept →
nuke4–13-0.0418%16 Sept →
nuke13–60.0718%15 Sept →
mirage5–13-0.038%15 Sept →
inferno13–10.0714%15 Sept →
nuke13–6-0.0220%15 Sept →
inferno9–13-0.0319%14 Sept →
anubis6–130.0118%14 Sept →
ancient5–13-0.0314%13 Sept →
cache14–160.0821%13 Sept →
dust29–130.0322%13 Sept →
mirage11–13-0.0223%12 Sept →
anubis5–13-0.052%12 Sept →
cache7–130.0114%12 Sept →
inferno13–9-0.009%12 Sept →
ancient11–13-0.0216%11 Sept →
ancient9–130.1016%11 Sept →
nuke16–12-0.0210%11 Sept →
mirage16–140.0112%11 Sept →
ancient13–90.0216%11 Sept →

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 →

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