[NBD⛟] Dead Assassin ⭕⃤

[NBD⛟] Dead Assassin ⭕⃤ — CS2 Stats

IS76561198132285942[U:1:172020214]Steam profile ↗✓ No bans

751Tracked matches46%Win rate2020Tracked since
CSDB Rating3.8 LearningPositional Player
Premier CS Rating12,426Blue band · top ~42% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (12 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: 12,426 -2,203 8 Mar – 8 Oct · 28 days played
12,42614,629peak 14,6298 Mar8 Oct
14,764Peak Premier in tracked matches
43Days played since 2026-03-05

Premier CS Rating

  • 2,203 below peak (14,629)
  • -1,326 over 30 days · declining
  • -1,286 over 90 days
  • Next: Purple band at 15,000 — 2,574 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-05
  • Light Blue band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG[NBD⛟] Dead Assassin ⭕⃤FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,426 · Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning45
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY35–57–8Last 10035%Win rateWWLLTWTTLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · −84ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 630ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 673ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim3.9
Utility4.3
Positioning4.5
Opening Duels3.2
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.

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

jL

Plays most like jL 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 639ms 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

Aim3.9
Positioning4.5
Utility4.3
Mechanics4.5
Opening Duels2.5
Win Impact3.8

Composite 3.8/10 (Learning), 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-0.04+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time661ms−28ms
first ⅓ avg 689ms → last ⅓ avg 661ms
Headshot accuracy13.8%+4.1%
first ⅓ avg 9.7% → last ⅓ avg 13.8%

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.

Personal bests

0.07Best match rating · 13–2 · dust2, 7 Aug →
24%Best headshot accuracy · 5–13 · mirage, 10 Apr →
484msFastest reaction time · 13–11 · inferno, 30 Jul →
13–1Biggest win · mirage, 10 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
11–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 57% over 23ancientWeakest map · 8% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%-0.04
mirageD237–1630%-0.03
ancientD131–128%-0.05
cacheB115–645%-0.04
dust2D103–730%-0.02
nukeC94–544%-0.08
anubisD71–614%-0.05
overpass—30–30%-0.01
poseidon—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

742Matches
49%Win rate
0.85Avg K/D
57.4ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
67%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.9216.0
Nuke250%1.0415.0
Ancient10%0.6215.0
Dust210%0.357.0
Anubis1100%1.1714.0
Vertigo1100%0.6511.0

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.

13.2%Headshot accuracy
30.2%Accuracy (enemy spotted)
30.7%Spray accuracy
70.1%Counter-strafing
9.8°Preaim
639msReaction time
43.4%T opening success
36.9%CT opening success
0.55Enemies flashed / flash
1.9%Flash assists
5.85HE damage / grenade
8.74Flashes / 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 13.1539% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.9333% — 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.

8% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0710%8 Oct →
cache13–10-0.0716%8 Oct →
dust210–13-0.0723%8 Oct →
inferno11–13-0.0322%18 Sept →
ancient15–15-0.0511%18 Sept →
inferno9–7-0.0110%15 Aug →
nuke8–8-0.0724%15 Aug →
mirage15–15-0.019%7 Aug →
ancient7–13-0.0815%7 Aug →
mirage13–11-0.0114%7 Aug →
cache10–13-0.0713%7 Aug →
dust213–20.0713%7 Aug →
mirage13–10-0.1021%4 Aug →
inferno13–30.0315%4 Aug →
mirage3–13-0.065%4 Aug →
cache16–120.0116%4 Aug →
cache5–13-0.0715%30 Jul →
ancient11–13-0.0610%30 Jul →
inferno13–11-0.047%30 Jul →
mirage2–13-0.0514%30 Jul →
mirage13–80.0210%27 Jul →
mirage1–13-0.0412%24 Jul →
cache5–13-0.0624%24 Jul →
cache7–13-0.0011%22 Jul →
cache11–13-0.037%13 Jul →
mirage13–10.018%10 Jul →
cache13–11-0.0818%10 Jul →
ancient5–13-0.089%26 Jun →
anubis6–13-0.0613%26 Jun →
inferno7–13-0.0221%26 Jun →
inferno13–7-0.007%19 Jun →
nuke2–9-0.2915%18 Jun →
poseidon9–70.0419%17 Jun →
inferno3–9-0.2622%17 Jun →
inferno13–11-0.076%17 Jun →
nuke8–8-0.088%6 Jun →
cache13–6-0.0411%27 May →
inferno6–13-0.1015%25 May →
anubis11–13-0.0318%22 May →
dust29–130.0720%17 May →
cache13–20.0310%17 May →
anubis12–12-0.0421%16 May →
overpass5–13-0.037%16 May →
mirage4–13-0.0512%15 May →
mirage13–10-0.0111%1 May →
ancient8–13-0.0216%1 May →
cache8–13-0.0519%1 May →
overpass7–13-0.0019%30 Apr →
ancient9–13-0.0311%30 Apr →
ancient3–13-0.0322%25 Apr →
inferno13–110.0316%25 Apr →
dust25–13-0.0915%25 Apr →
inferno13–1-0.027%25 Apr →
ancient13–16-0.0411%25 Apr →
overpass10–130.0112%17 Apr →
dust213–11-0.0112%17 Apr →
inferno5–13-0.0111%16 Apr →
nuke11–130.0011%16 Apr →
inferno13–11-0.007%16 Apr →
mirage5–13-0.0324%10 Apr →
anubis10–13-0.053%10 Apr →
inferno8–13-0.0816%6 Apr →
nuke13–3-0.100%6 Apr →
anubis8–13-0.0611%6 Apr →
mirage14–16-0.076%5 Apr →
inferno13–9-0.0514%5 Apr →
dust213–2-0.007%5 Apr →
inferno11–2-0.043%5 Apr →
mirage4–13-0.1117%5 Apr →
mirage9–130.0021%3 Apr →
inferno6–13-0.0510%3 Apr →
ancient9–13-0.068%3 Apr →
ancient13–100.0111%3 Apr →
dust215–15-0.0311%3 Apr →
mirage6–13-0.0411%2 Apr →
mirage9–130.013%2 Apr →
mirage13–3-0.039%31 Mar →
anubis6–13-0.1114%31 Mar →
mirage3–13-0.086%30 Mar →
nuke13–3-0.0612%30 Mar →
anubis13–9-0.0312%30 Mar →
inferno9–13-0.067%28 Mar →
nuke13–10-0.0511%28 Mar →
ancient13–16-0.085%28 Mar →
inferno13–11-0.0210%28 Mar →
dust21–13-0.076%28 Mar →
nuke13–11-0.047%27 Mar →
mirage13–5-0.0815%27 Mar →
dust211–130.0012%26 Mar →
mirage15–15-0.019%20 Mar →
ancient6–13-0.096%20 Mar →
dust214–16-0.0910%20 Mar →
inferno9–13-0.116%20 Mar →
ancient2–13-0.093%20 Mar →
inferno9–130.0313%17 Mar →
mirage9–130.0215%17 Mar →
mirage11–13-0.039%8 Mar →
inferno13–10-0.0311%7 Mar →
mirage10–13-0.0311%6 Mar →
nuke15–15-0.076%5 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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