D3mon

D3mon — CS2 Stats

US76561197960714936[U:1:449208]Steam profile ↗✓ No bans

4,695Tracked matches36%Win rate2020Tracked since
CSDB Rating3.8 Learning
Premier CS Rating4,431Grey band · top ~81.2% of ranked players (population est.)
CSDB Leaderboard#19005 of 24588 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGD3monFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER4,431 · Grey bandcsdb.gg/stats

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Performance scores

Aim53
Positioning47
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY553015Last 10055%Win rateLTWWWTWWLT

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.3
Aggression8.6
Utility2.9
Positioning4.7
Opening Duels3.6
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 79% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 659ms 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

Aim5.3
Positioning4.7
Utility2.9
Mechanics5.8
Opening Duels3.6
Win Impact0.3

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 rating0.04+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time603ms−58ms
first ⅓ avg 661ms → last ⅓ avg 603ms
Headshot accuracy11.7%−2.6%
first ⅓ avg 14.3% → last ⅓ avg 11.7%

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.

Highlights

0.40Best rating — inferno 9–1
132Biggest win — dust2
8Longest win streak
95In matches decided by ≤2 rounds
1Overtime games

Map breakdown

vertigoBest map · 64% over 11dust2Weakest map · 45% over 29
MapGradePlayedRecordWin rateAvg rating
infernoA53332062%0.04
dust2B29131645%-0.01
vertigoA117464%0.00
nuke2020%-0.07
cache2020%0.00
train110100%-0.04
mirage1010%0.05
anubis110100%-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

65Matches
37%Win rate
0.77Avg K/D
61.4ADR
33%Headshot %

Clutches & streaks

7%1v1 clutch win
22%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21060%0.7510.5
Mirage922%0.7111.3
Ancient838%0.8114.4
Nuke743%0.6710.6
Inferno633%0.629.3
Anubis50%0.6210.4
Train425%0.7513.3
Vertigo10%0.417.0

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.

12.3%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.2%Spray accuracy
76.0%Counter-strafing
9.2°Preaim
659msReaction time
38.5%T opening success
50.3%CT opening success
0.61Enemies flashed / flash
6.4%Flash assists
7.60HE damage / grenade
1.74Flashes / 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 12.3311% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.7362 — below the 4 mark we flag

    Grenade Lineups
  3. 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 38.4562% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.058%29 Aug
inferno8–80.076%28 Aug
inferno9–40.0626%28 Aug
inferno9–60.0220%28 Aug
train13–4-0.0413%28 Aug
inferno8–8-0.0213%28 Aug
inferno9–20.1310%28 Aug
inferno9–50.0110%28 Aug
dust211–130.019%27 Aug
cache12–12-0.034%26 Aug
vertigo9–2-0.0213%26 Aug
vertigo9–70.0420%26 Aug
inferno12–12-0.0619%26 Aug
cache12–120.0311%26 Aug
inferno9–30.0315%26 Aug
inferno9–20.0710%26 Aug
inferno9–50.132%26 Aug
inferno9–3-0.016%26 Aug
inferno1–9-0.1725%26 Aug
inferno9–40.1811%26 Aug
inferno9–20.2022%26 Aug
vertigo9–30.239%26 Aug
vertigo9–30.146%26 Aug
inferno8–8-0.056%24 Aug
inferno9–40.069%24 Aug
vertigo9–20.1211%24 Aug
dust27–13-0.0015%24 Aug
inferno8–8-0.0211%24 Aug
inferno9–40.0613%24 Aug
dust212–120.0717%24 Aug
dust213–90.013%24 Aug
inferno9–3-0.028%23 Aug
inferno8–80.024%23 Aug
vertigo9–6-0.022%22 Aug
dust25–13-0.039%22 Aug
dust210–13-0.019%21 Aug
inferno6–90.097%21 Aug
dust210–13-0.062%20 Aug
dust210–13-0.0510%19 Aug
inferno5–9-0.0612%19 Aug
mirage6–110.0511%19 Aug
dust213–10-0.0716%19 Aug
inferno9–70.0220%19 Aug
inferno9–40.0621%19 Aug
inferno9–10.000%18 Aug
inferno6–9-0.0919%18 Aug
dust29–130.0320%18 Aug
dust24–13-0.0410%17 Aug
inferno8–8-0.097%17 Aug
inferno9–50.0116%17 Aug
inferno9–10.146%17 Aug
inferno9–20.0810%17 Aug
inferno9–6-0.0128%17 Aug
inferno9–40.0821%17 Aug
dust28–13-0.0618%17 Aug
vertigo6–9-0.0913%16 Aug
inferno9–70.0415%15 Aug
inferno9–60.138%15 Aug
dust213–11-0.0216%15 Aug
vertigo7–9-0.0312%14 Aug
inferno4–90.0612%14 Aug
dust216–13-0.028%14 Aug
anubis13–8-0.085%13 Aug
inferno1–9-0.237%13 Aug
inferno9–10.1922%13 Aug
dust213–100.0119%13 Aug
dust212–12-0.0425%12 Aug
vertigo7–9-0.0811%12 Aug
inferno9–30.1625%12 Aug
inferno9–50.0514%12 Aug
inferno9–70.0310%12 Aug
inferno8–80.0411%12 Aug
inferno9–50.0910%12 Aug
dust26–13-0.0714%12 Aug
dust213–100.020%12 Aug
dust211–130.0219%11 Aug
dust27–13-0.0217%11 Aug
vertigo9–50.0219%11 Aug
inferno8–8-0.1018%11 Aug
dust26–130.0221%11 Aug
nuke2–13-0.0817%11 Aug
dust213–110.079%10 Aug
inferno2–9-0.1920%10 Aug
inferno4–90.018%10 Aug
inferno9–10.409%10 Aug
dust211–13-0.0116%10 Aug
dust213–2-0.010%10 Aug
dust213–11-0.0425%9 Aug
inferno6–9-0.0611%9 Aug
inferno8–80.0316%9 Aug
inferno9–10.228%9 Aug
inferno9–30.1720%9 Aug
inferno9–7-0.0622%9 Aug
dust213–11-0.0113%8 Aug
dust213–70.0019%8 Aug
dust213–5-0.0315%8 Aug
inferno9–10.1418%8 Aug
dust213–90.0217%8 Aug
inferno8–80.0022%8 Aug
vertigo0–9-0.270%8 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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