DeMON

DeMON — CS2 Stats

76561199163674949[U:1:1203409221]Steam profile ↗✓ No bans

1,281Tracked matches39%Win rate2022Tracked since
705Hours in CS
CSDB Rating4.3 DevelopingClutch Specialist
Premier CS Rating10,031Blue band · top ~54.7% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (31 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: 10,031 +351 10 Sept – 15 Oct · 22 days played
9,11412,639peak 12,63910 Sept15 Oct
12,639Peak Premier in tracked matches
31Days played since 2026-09-01

Premier CS Rating

  • 2,608 below peak (12,639)
  • +917 over 30 days · improving
  • Next: Purple band at 15,000 — 4,969 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate35.5%42.0%44.4%8.9% short
Shot accuracy7.2%9.6%11.9%4.6% short
Kill/death ratio0.920.981.030.11 short
Match win rate43.4%43.8%45.2%1.8% short

This profile sits below the typical Purple band player on every metric we can compare.

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

Share this profile

CSDB.GGDeMONPREMIER10,031 · Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning61
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLLLLWLLWWW

Last 10 vs previous 10: +20pp win rate · +0.09 avg rating · +6.4pp headshot accuracy · −35ms reaction

Win rate up 20pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 625ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 631ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 649ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2 against its own average).

Aim5.2
Utility2.3
Positioning6.1
Opening Duels4.7
Clutch7.0

Reliable in 1v1s

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

s1mple

Plays most like s1mple 80% 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. 635ms 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

Aim5.2
Positioning6.1
Utility2.3
Mechanics4.7
Opening Duels6.0
Win Impact1.4

Composite 4.3/10 (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-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time621ms−2ms
first ⅓ avg 623ms → last ⅓ avg 621ms
Headshot accuracy16.3%+2.4%
first ⅓ avg 14.0% → last ⅓ avg 16.3%

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

0.23Best match rating · 13–10 · mirage, 26 Sept →
55%Best headshot accuracy · 9–13 · ancient, 28 Sept →
383msFastest reaction time · 9–6 · inferno, 25 Sept →
13–1Biggest win · dust2, 12 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
5–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 76% over 17ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D3812–2632%-0.02
mirageS1713–476%0.01
infernoC146–843%-0.04
ancientD103–730%-0.02
nukeC73–443%-0.02
anubisC73–443%-0.02
cacheS64–267%0.05
vertigo—10–10%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,991Lifetime kills
0.92K/D
1,896Matches
43.4%Match win rate
35.5%Headshot %
7.2%Shot accuracy
3,791MVPs
705Hours (in match)
1,453Bombs planted
392Bombs defused

Most-used weapons

Lifetime map wins

5,601dust2
2,378inferno
1,762nuke
540vertigo
221train
100office
44italy
10ar_shoots

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

Faceit stats

Combat

38Matches
39%Win rate
0.79Avg K/D
74.6ADR
35%Headshot %

Clutches & streaks

55%1v1 clutch win
23%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1136%0.7514.7
Anubis838%0.6411.1
Dust2850%0.9415.5
Nuke333%0.9011.0
Vertigo367%0.9614.0
Overpass20%0.419.0
Ancient10%0.9417.0
Train10%0.6925.0

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.

17.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
31.8%Spray accuracy
71.2%Counter-strafing
9.9°Preaim
635msReaction time
51.9%T opening success
56.3%CT opening success
0.47Enemies flashed / flash
3.2%Flash assists
1.97HE damage / grenade
6.15Flashes / 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 0.4657 — below the 0.5 mark we flag

    Grenade Lineups →
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0426%15 Oct →
inferno11–13-0.0313%14 Oct →
dust210–130.0724%14 Oct →
inferno1–13-0.086%14 Oct →
dust213–110.0215%14 Oct →
nuke1–70.0432%14 Oct →
mirage5–13-0.0723%12 Oct →
mirage13–40.0813%12 Oct →
anubis13–50.0624%12 Oct →
mirage16–130.0927%6 Oct →
dust212–12-0.0812%6 Oct →
dust24–13-0.0916%6 Oct →
nuke1–13-0.1211%5 Oct →
mirage16–14-0.0816%4 Oct →
dust213–9-0.029%4 Oct →
dust28–13-0.0227%4 Oct →
cache10–13-0.0313%3 Oct →
nuke8–13-0.106%3 Oct →
inferno5–9-0.197%2 Oct →
anubis7–130.0624%30 Sept →
dust213–60.0312%30 Sept →
dust212–12-0.056%30 Sept →
dust20–40.000%29 Sept →
ancient16–14-0.006%28 Sept →
dust24–13-0.117%28 Sept →
dust21–13-0.106%28 Sept →
dust213–7-0.1011%28 Sept →
ancient9–130.0455%28 Sept →
inferno13–8-0.0119%28 Sept →
nuke13–30.0529%28 Sept →
ancient5–13-0.0516%27 Sept →
dust24–13-0.0619%27 Sept →
ancient10–13-0.0411%27 Sept →
mirage13–100.2335%26 Sept →
inferno12–16-0.026%26 Sept →
inferno13–8-0.0113%26 Sept →
cache13–100.0942%25 Sept →
inferno13–8-0.0316%25 Sept →
ancient13–110.0530%25 Sept →
mirage13–7-0.0318%25 Sept →
anubis16–12-0.0210%25 Sept →
dust216–120.0825%25 Sept →
inferno9–60.0523%25 Sept →
mirage13–11-0.0223%24 Sept →
dust28–13-0.0614%23 Sept →
nuke13–8-0.0915%23 Sept →
anubis5–13-0.0420%23 Sept →
anubis13–6-0.0613%23 Sept →
mirage6–13-0.0917%23 Sept →
cache13–30.1320%23 Sept →
mirage13–100.0233%21 Sept →
mirage9–13-0.0424%21 Sept →
inferno3–13-0.0814%21 Sept →
inferno13–70.0524%21 Sept →
dust213–80.1227%21 Sept →
inferno4–13-0.0914%21 Sept →
dust24–130.0610%21 Sept →
mirage13–100.0513%21 Sept →
dust213–80.1222%21 Sept →
cache13–80.0614%21 Sept →
dust26–13-0.0816%20 Sept →
dust29–130.0313%20 Sept →
dust26–13-0.094%19 Sept →
mirage14–160.0218%19 Sept →
ancient7–130.0117%19 Sept →
inferno6–13-0.0523%19 Sept →
cache4–13-0.0120%18 Sept →
dust213–10-0.0318%17 Sept →
mirage13–20.0210%17 Sept →
ancient7–13-0.0511%17 Sept →
dust27–13-0.019%17 Sept →
anubis10–13-0.0611%17 Sept →
cache13–80.0618%17 Sept →
nuke13–80.0315%16 Sept →
ancient13–8-0.068%16 Sept →
dust211–13-0.0320%16 Sept →
dust22–9-0.0838%15 Sept →
mirage16–130.0222%15 Sept →
mirage13–10-0.0411%12 Sept →
anubis11–13-0.0717%12 Sept →
dust213–10.0521%12 Sept →
dust22–13-0.086%11 Sept →
dust28–13-0.029%11 Sept →
dust25–13-0.0526%11 Sept →
dust24–13-0.075%11 Sept →
dust26–13-0.0819%11 Sept →
mirage13–10-0.0014%10 Sept →
dust213–9-0.008%6 Sept →
ancient9–13-0.110%6 Sept →
mirage13–2-0.0313%5 Sept →
ancient5–13-0.039%5 Sept →
dust29–130.0616%5 Sept →
inferno3–13-0.0612%4 Sept →
inferno12–10.040%4 Sept →
dust24–13-0.0113%4 Sept →
vertigo2–13-0.110%4 Sept →
dust213–6-0.049%4 Sept →
dust23–13-0.1111%4 Sept →
dust213–5-0.0625%2 Sept →
dust20–13-0.0640%1 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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