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Dead1ynice

Dead1ynice — CS2 Stats

76561198820262066[U:1:859996338]Steam profile ↗

1,101Tracked matches25%Win rate2024Tracked since
CSDB Rating2.8 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGDead1yniceFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim35
Positioning29
Utility27

0–100 skill scores via Leetify.

Recent form

COLD40–54–6Last 10040%Win rateLLLLLLWLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim3.5
Aggression1.6
Utility2.7
Positioning2.9
Opening Duels0.0
Clutch0.4

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 64% 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

T-side openings. Opening success drops from 28% on CT to 12% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 704ms 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

Aim3.5
Positioning2.9
Utility2.7
Mechanics5.2
Opening Duels0.0
Win Impact0.0

Composite 2.8/10 (Learning), 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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time706ms−43ms
first ⅓ avg 749ms → last ⅓ avg 706ms
Headshot accuracy14.8%−1.6%
first ⅓ avg 16.4% → last ⅓ avg 14.8%

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

0.07Best rating — dust2 2–13
13–1Biggest win — dust2
7Longest win streak
L6Current streak
5–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 64% over 14ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC259–1636%-0.04
dust2C219–1243%-0.03
infernoA149–564%-0.04
nukeC125–742%-0.04
cacheD82–625%-0.06
vertigoC73–443%-0.07
ancientD51–420%-0.05
train—31–233%-0.06
office—20–20%-0.06
anubis—21–150%-0.04
warden—10–10%0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

83Matches
47%Win rate
0.64Avg K/D
56.3ADR
42%Headshot %

Clutches & streaks

22%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3047%0.568.8
Dust22348%0.649.4
Inferno978%0.9512.4
Vertigo729%0.6211.9
Nuke617%0.579.3
Ancient540%0.578.4
Anubis367%0.8514.0

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.

15.1%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.3%Spray accuracy
73.2%Counter-strafing
11.0°Preaim
704msReaction time
12.3%T opening success
28.0%CT opening success
0.53Enemies flashed / flash
5.6%Flash assists
5.51HE damage / grenade
2.38Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 703.9031ms — above the 700ms 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 2.3793 — 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 12.3296% — below the 40% mark we flag

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0613%9 Aug →
dust26–13-0.0811%6 Aug →
mirage9–130.0110%6 Aug →
mirage8–13-0.0916%5 Aug →
nuke4–13-0.0512%5 Aug →
nuke6–13-0.0928%4 Aug →
mirage13–8-0.0225%4 Aug →
office2–13-0.0613%3 Aug →
dust213–7-0.0618%3 Aug →
mirage13–5-0.0113%3 Aug →
dust212–12-0.0710%3 Aug →
cache13–8-0.077%1 Aug →
cache1–130.0327%1 Aug →
ancient11–13-0.045%1 Aug →
mirage3–13-0.086%30 Jul →
anubis13–6-0.0118%30 Jul →
dust23–13-0.048%30 Jul →
dust28–13-0.016%30 Jul →
mirage7–13-0.0017%29 Jul →
cache10–2-0.1213%28 Jul →
nuke13–16-0.0711%28 Jul →
inferno13–11-0.0016%28 Jul →
mirage6–13-0.0023%28 Jul →
mirage7–13-0.0919%27 Jul →
dust26–13-0.0816%27 Jul →
cache9–13-0.0520%27 Jul →
inferno12–12-0.0418%27 Jul →
train0–13-0.0913%26 Jul →
dust210–13-0.0315%26 Jul →
ancient7–13-0.0431%26 Jul →
ancient8–13-0.110%26 Jul →
dust213–1-0.0220%26 Jul →
mirage9–130.0311%25 Jul →
vertigo4–13-0.0918%25 Jul →
mirage6–13-0.088%25 Jul →
mirage13–6-0.0320%25 Jul →
vertigo13–3-0.0613%23 Jul →
mirage5–2-0.0017%23 Jul →
mirage9–13-0.1011%23 Jul →
office8–13-0.0716%22 Jul →
ancient12–12-0.0610%22 Jul →
anubis7–13-0.0722%22 Jul →
inferno9–13-0.049%22 Jul →
mirage9–13-0.0333%20 Jul →
nuke13–9-0.0119%14 Jun →
cache8–13-0.0813%9 May →
nuke13–10-0.0719%9 May →
cache9–13-0.0914%9 May →
dust213–7-0.045%7 May →
dust212–12-0.0611%7 May →
dust211–13-0.0717%7 May →
cache8–13-0.0615%7 May →
cache9–13-0.0910%6 May →
warden8–130.018%22 Jan →
dust210–130.0116%6 Jan →
nuke13–80.0023%6 Jan →
dust22–130.0715%29 Dec →
ancient16–140.019%26 Dec →
inferno5–13-0.077%20 Dec →
mirage13–10-0.0016%10 Dec →
mirage13–50.0111%10 Dec →
dust213–4-0.0024%6 Dec →
nuke3–13-0.0910%1 Dec →
train8–13-0.0015%14 Oct →
dust213–4-0.0114%14 Oct →
vertigo9–13-0.0513%30 Jul →
vertigo11–13-0.1022%29 Jul →
mirage8–10.0424%29 Jul →
inferno7–13-0.0813%29 Jul →
dust213–8-0.0117%29 Jul →
mirage15–15-0.0415%29 Jul →
inferno13–6-0.0213%28 Jul →
dust213–4-0.0011%28 Jul →
mirage11–13-0.1027%28 Jul →
nuke3–13-0.054%27 Jul →
dust27–13-0.0019%27 Jul →
mirage7–13-0.077%26 Jul →
nuke9–13-0.0827%26 Jul →
train13–5-0.0823%26 Jul →
inferno13–8-0.0710%26 Jul →
nuke3–13-0.0323%26 Jul →
vertigo13–8-0.0117%26 Jul →
mirage13–16-0.0717%23 Jul →
nuke13–7-0.029%23 Jul →
vertigo13–4-0.1213%21 Jul →
dust213–8-0.0712%21 Jul →
inferno13–2-0.0436%21 Jul →
mirage16–14-0.0618%21 Jul →
inferno10–1-0.0011%21 Jul →
dust213–2-0.0016%21 Jul →
mirage4–13-0.1044%21 Jul →
inferno9–5-0.069%21 Jul →
inferno13–30.0011%21 Jul →
inferno13–11-0.0216%20 Jul →
dust211–13-0.0213%20 Jul →
inferno13–60.016%20 Jul →
mirage13–100.0215%20 Jul →
nuke13–110.0513%20 Jul →
vertigo12–12-0.0420%20 Jul →
mirage6–13-0.0314%20 Jul →

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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