Demonbarrel_ — CS2 Stats

76561198079536465[U:1:119270737]

77Tracked matches52%Win rate2024Tracked since
342Hours in CS
CSDB Rating4.1 Developing
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim56
Positioning29
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY38363Last 7749%Win rateWWLLWWLWTL

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

Player DNA

Aim5.6
Aggression2.5
Utility2.2
Positioning2.9
Opening Duels0.0
Clutch6.0

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

NiKo

Plays most like NiKo 69% playstyle similarity

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

Where you differ: lower aim profile; 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

Areas to improve

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

CT openings. Opening success drops from 37% on T to 14% on CT — first contacts on the defending side are being lost.

Reaction time. 597ms 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

Aim5.6
Positioning2.9
Utility2.2
Mechanics5.5
Opening Duels0.9
Win Impact5.6

Composite 4.1/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time554ms−42ms
first ⅓ avg 596ms → last ⅓ avg 554ms
Headshot accuracy13.2%+1.5%
first ⅓ avg 11.7% → last ⅓ avg 13.2%

Rolling 5-match average across the last 77 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — inferno 9–4
120Biggest win — cache
5Longest win streak
W2Current streak
6Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB1910953%-0.01
mirageB137654%-0.02
nukeB105550%-0.04
ancientA95456%-0.03
cacheS54180%-0.01
dust2D51420%-0.04
anubis43175%-0.01
overpass41325%-0.05
train31233%-0.05
vertigo2020%-0.09
debris1010%-0.13
shelter110100%-0.03
assembly1010%-0.23

Across the last 77 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,036Lifetime kills
0.88K/D
642Matches
43.1%Match win rate
37.5%Headshot %
15.6%Shot accuracy · Top 25% of tracked players
1,058MVPs
342Hours (in match)
320Bombs planted
83Bombs defused

Most-used weapons

Lifetime map wins

1,123inferno
875dust2
363nuke
113office
90lake
79train
67dust
51vertigo

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

Faceit stats

Combat

6Matches
67%Win rate
0.65Avg K/D
49.6ADR
54%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.605.5
Ancient250%0.527.0
Mirage1100%0.8713.0
Cache1100%0.7518.0

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.

13.5%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.0%Spray accuracy
74.6%Counter-strafing
9.5°Preaim
597msReaction time
37.0%T opening success
14.1%CT opening success
0.42Enemies flashed / flash
1.4%Flash assists
5.14HE damage / grenade
2.01Flashes / 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 13.4798% — 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 0.4226 — below the 0.5 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 36.9803% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–3-0.0112%12 Aug
ancient13–6-0.0317%12 Aug
ancient2–13-0.0931%12 Aug
inferno5–13-0.0814%12 Aug
cache19–16-0.0217%11 Aug
mirage13–10-0.009%11 Aug
ancient3–13-0.080%10 Aug
ancient13–50.0818%10 Aug
cache15–15-0.0114%10 Aug
vertigo5–9-0.100%10 Aug
nuke9–6-0.1114%10 Aug
debris3–9-0.1327%10 Aug
inferno13–20.089%9 Aug
anubis10–13-0.048%9 Aug
cache13–8-0.0210%6 Aug
inferno8–13-0.0522%5 Aug
mirage16–12-0.0210%5 Aug
inferno4–13-0.099%5 Aug
ancient13–4-0.0714%4 Aug
cache12–0-0.019%4 Aug
inferno10–130.009%2 Aug
cache13–4-0.0014%2 Aug
dust28–130.0214%2 Aug
ancient10–13-0.0013%2 Aug
dust28–13-0.0716%2 Aug
mirage14–16-0.0513%2 Aug
train13–4-0.074%18 Jul
inferno9–40.148%18 Jul
nuke8–13-0.0122%18 Jul
shelter13–5-0.0320%17 Jul
dust210–13-0.1212%10 Jul
inferno13–7-0.0116%6 Mar
nuke4–9-0.220%2 Mar
vertigo8–8-0.0914%2 Mar
inferno13–7-0.0519%1 Mar
overpass6–13-0.067%12 Feb
inferno5–13-0.0215%7 Feb
mirage10–130.0518%7 Feb
nuke13–80.0516%7 Feb
anubis13–1-0.026%6 Feb
ancient13–2-0.065%6 Feb
mirage13–2-0.043%6 Feb
inferno13–80.0221%6 Feb
overpass3–13-0.0714%5 Feb
anubis13–90.0616%5 Feb
mirage13–11-0.019%4 Feb
dust28–13-0.044%14 Jan
overpass13–11-0.069%11 Jan
inferno13–8-0.039%11 Jan
mirage3–13-0.058%11 Jan
nuke16–130.1014%11 Jan
mirage13–5-0.038%11 Jan
mirage13–8-0.038%10 Jan
overpass4–13-0.029%10 Jan
ancient2–13-0.069%10 Jan
nuke6–13-0.0523%10 Jan
nuke1–13-0.0319%9 Jan
inferno3–13-0.077%9 Jan
inferno4–130.043%8 Jan
nuke16–14-0.0111%8 Jan
inferno10–130.0114%6 Jan
mirage2–13-0.0411%6 Jan
train5–13-0.0117%6 Jan
nuke13–4-0.042%6 Jan
anubis13–3-0.026%30 Dec
train6–13-0.0715%30 Dec
nuke12–12-0.0515%30 Dec
inferno5–13-0.0318%27 Dec
mirage5–00.0721%27 Dec
ancient4–00.000%27 Dec
mirage8–13-0.0516%12 Dec
dust213–70.0120%6 Dec
mirage4–13-0.077%6 Dec
inferno13–80.0210%5 Dec
inferno13–10.0418%26 Nov
assembly2–9-0.230%5 Nov
inferno13–3-0.0013%5 Nov

Match data via Leetify.

Recent teammates

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