DemonStar

DemonStar — CS2 Stats

MG76561198806923762[U:1:846658034]Steam profile ↗✓ No bans

1,232Tracked matches47%Win rate2021Tracked since
3,905Hours in CS38Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating17,976Purple band · top ~16.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 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: 17,976 -153 13 Sept – 12 Nov · 23 days played
15,86918,934peak 18,93413 Sept12 Nov
18,934Peak Premier in tracked matches
1,592Highest Faceit ELO seen on CSDB
43Days played since 2026-07-02

Faceit ELO

  • At peak — 1,592
  • Next: Level 9 at 1,751 — 159 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-13
  • Level 7 first seen 2026-09-13

Premier CS Rating

  • 958 below peak (18,934)
  • +1,656 over 30 days · improving
  • Next: Pink band at 20,000 — 2,024 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate49.2%44.4%46.9%above
Shot accuracy7.8%11.9%13.0%5.2% short
Kill/death ratio1.071.031.08meets
Match win rate47.2%45.2%46.7%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGDemonStarPREMIER17,976 · Purple bandPEAK ELO1,592csdb.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
Positioning55
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateLWLWLLWWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +2.3pp headshot accuracy · −51ms 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 -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 606ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 632ms

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 (+1.9 against its own average).

Aim7.3
Utility6.1
Positioning5.5
Opening Duels2.9
Clutch2.2

Excellent counter-strafing

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 614ms 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

Aim7.3
Positioning5.5
Utility6.1
Mechanics8.8
Opening Duels4.4
Win Impact3.9

Composite 6.4/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time614ms+7ms
first ⅓ avg 608ms → last ⅓ avg 614ms
Headshot accuracy18.6%+0.2%
first ⅓ avg 18.4% → last ⅓ avg 18.6%

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

0.14Best match rating · 13–6 · ancient, 20 Oct →
41%Best headshot accuracy · 9–13 · dust2, 9 Oct →
430msFastest reaction time · 10–13 · inferno, 14 Sept →
13–2Biggest win · dust2, 9 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 17nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC187–1139%0.01
dust2C187–1139%0.00
anubisS1712–571%0.00
infernoD165–1131%0.02
ancientC166–1038%0.03
nukeD61–517%-0.04
cacheD62–433%0.00
office—11–0100%-0.02
rush_001—10–10%0.06
vertigo—10–10%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

106,339Lifetime kills
1.07K/D · Top 50% of Purple band
6,130Matches
47.2%Match win rate · Top 50% of Purple band
49.2%Headshot % · Top 50% of Purple band
7.8%Shot accuracy
14,390MVPs
2,189Hours (in match)
4,190Bombs planted
1,946Bombs defused

Most-used weapons

AK-4733,788
AWP7,337
FAMAS3,262
MAC-101,918
P901,703

Lifetime map wins

14,120inferno
13,573dust2
1,982nuke
1,982train
1,265vertigo
124office
19lake
8italy

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

Faceit stats

Combat

231Matches
52%Win rate
1.03Avg K/D
80.2ADR
47%Headshot %

Clutches & streaks

31%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis5564%1.1315.9
Mirage4852%1.0515.2
Inferno4865%1.2216.9
Ancient2646%1.0415.1
Dust22129%0.8915.9
Nuke617%0.7111.3
Overpass333%0.5812.7
Vertigo20%0.468.0

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.

19.2%Headshot accuracy
36.4%Accuracy (enemy spotted)
34.9%Spray accuracy
89.5%Counter-strafing
11.1°Preaim
614msReaction time
52.1%T opening success
42.9%CT opening success
0.57Enemies flashed / flash
5.8%Flash assists
6.18HE damage / grenade
13.47Flashes / match

Recommended for you

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0711%12 Nov →
anubis13–6-0.0416%12 Nov →
inferno5–13-0.0621%10 Nov →
dust213–20.0115%9 Nov →
mirage8–13-0.0023%9 Nov →
dust29–13-0.0122%8 Nov →
inferno16–140.0227%8 Nov →
mirage13–7-0.0127%8 Nov →
mirage13–30.1118%7 Nov →
dust215–12-0.0220%7 Nov →
anubis13–50.0217%7 Nov →
anubis13–110.0116%7 Nov →
mirage13–4-0.0019%7 Nov →
anubis13–7-0.028%7 Nov →
ancient9–130.0732%7 Nov →
inferno11–130.0224%6 Nov →
nuke8–130.0611%6 Nov →
cache3–130.0322%6 Nov →
dust210–130.0216%6 Nov →
mirage13–50.0114%3 Nov →
anubis16–120.1020%3 Nov →
anubis5–13-0.0315%2 Nov →
dust22–13-0.0829%2 Nov →
mirage5–13-0.0415%2 Nov →
nuke1–13-0.1013%2 Nov →
inferno9–13-0.0421%1 Nov →
dust210–13-0.0529%1 Nov →
ancient6–130.0517%31 Oct →
nuke13–5-0.0110%29 Oct →
cache13–80.0320%29 Oct →
ancient5–13-0.0613%28 Oct →
mirage9–130.0420%28 Oct →
anubis6–13-0.0315%27 Oct →
mirage8–13-0.0026%27 Oct →
cache3–13-0.0127%27 Oct →
ancient7–130.0216%27 Oct →
ancient13–90.0613%26 Oct →
ancient16–140.0718%26 Oct →
anubis13–10-0.0211%26 Oct →
cache14–16-0.0219%25 Oct →
dust213–30.0716%25 Oct →
mirage16–130.0323%25 Oct →
dust210–13-0.0121%24 Oct →
inferno10–130.0625%24 Oct →
dust213–60.0316%24 Oct →
anubis13–10-0.0319%23 Oct →
mirage6–130.0530%23 Oct →
ancient10–130.0733%21 Oct →
inferno13–100.0134%21 Oct →
ancient13–60.1433%20 Oct →
dust25–13-0.058%20 Oct →
ancient6–130.0233%18 Oct →
inferno13–70.0218%18 Oct →
ancient13–90.0229%17 Oct →
mirage13–80.1324%17 Oct →
ancient12–12-0.0421%14 Oct →
mirage10–13-0.0518%10 Oct →
nuke3–13-0.1029%10 Oct →
inferno12–120.1014%9 Oct →
dust29–13-0.0541%9 Oct →
inferno10–130.0417%8 Oct →
dust211–130.0823%8 Oct →
anubis13–90.0715%8 Oct →
anubis13–7-0.0114%8 Oct →
nuke11–13-0.0711%5 Oct →
inferno9–130.0419%5 Oct →
inferno10–130.0417%4 Oct →
ancient13–60.0413%3 Oct →
anubis7–13-0.0120%3 Oct →
mirage4–13-0.0613%3 Oct →
office13–6-0.0218%3 Oct →
inferno8–13-0.0614%3 Oct →
rush_0017–80.060%3 Oct →
mirage13–110.0113%30 Sept →
ancient11–130.0119%29 Sept →
anubis13–20.029%29 Sept →
cache12–120.0220%28 Sept →
anubis13–100.0313%27 Sept →
mirage3–130.0228%27 Sept →
dust213–20.0024%27 Sept →
mirage9–13-0.018%27 Sept →
inferno9–13-0.0515%27 Sept →
anubis3–13-0.0119%26 Sept →
anubis6–13-0.0218%24 Sept →
vertigo5–13-0.0411%23 Sept →
cache13–11-0.0230%22 Sept →
ancient12–12-0.0118%21 Sept →
inferno13–110.0325%19 Sept →
ancient4–13-0.0319%18 Sept →
ancient16–120.0322%18 Sept →
mirage7–130.0337%17 Sept →
dust27–13-0.0214%17 Sept →
inferno10–130.0822%14 Sept →
anubis13–30.0415%14 Sept →
dust213–30.0922%13 Sept →
dust210–130.0015%13 Sept →
dust213–100.0024%13 Sept →
nuke11–130.0122%13 Sept →
dust29–13-0.0020%12 Sept →
inferno13–80.0129%12 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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