DEAD ☠ #Laughing Buddha

DEAD ☠ #Laughing Buddha — CS2 Stats

LK76561198349331582[U:1:389065854]Steam profile ↗✓ No bans

3,761Tracked matches57%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
FaceitLevel 8 · 1,236 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,236 → 1,236
+12Tracked matches · now 3,761
0.0ppWin rate · 56.7% → 56.7%

Rating over time

1,236Highest Faceit ELO seen on CSDB
59Days played since 2026-05-26

Faceit ELO

  • At peak — 1,236
  • Next: Level 7 at 1,351 — 115 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-11-13
  • Level 5 first seen 2026-11-13

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDEAD ☠ #Laughing BuddhaFACEITLevel 8 · 1,236 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,236csdb.gg/stats

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Performance scores

Aim87
Positioning72
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWWWLWLWWL

Last 10 vs previous 10: 0pp win rate · −0.05 avg rating · −4.4pp headshot accuracy · −9ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 528ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 558ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 28%
  • Avg reaction 562ms

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 (+2 against its own average).

Aim8.7
Utility4.4
Positioning7.2
Opening Duels5.5
Clutch3.6

Sharp aimer

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

donk

Plays most like donk 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim8.7
Positioning7.2
Utility4.4
Mechanics4.8
Opening Duels7.6
Win Impact7.2

Composite 6.2/10 (Solid), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time539ms−72ms
first ⅓ avg 611ms → last ⅓ avg 539ms
Headshot accuracy25.8%+5.8%
first ⅓ avg 20.0% → last ⅓ avg 25.8%

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

0.13Best match rating · 13–2 · vertigo, 20 Oct →
50%Best headshot accuracy · 6–13 · dust2, 2 Nov →
406msFastest reaction time · 13–2 · vertigo, 16 Oct →
13–0Biggest win · inferno, 22 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–14In matches decided by ≤2 rounds
18Overtime games

Map breakdown

vertigoBest map · 86% over 7mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A4223–1955%0.04
infernoC229–1341%0.02
anubisB137–654%0.01
mirageC104–640%0.02
vertigoS76–186%0.04
nuke—41–325%0.00
cache—20–20%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,712Matches
49%Win rate
1.08Avg K/D
76.8ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust274052%1.1517.4
Inferno51247%1.0715.8
Mirage47047%1.0315.3
Anubis34653%1.0816.3
Ancient24840%1.0015.3
Nuke17250%1.0816.0
Vertigo12653%1.0214.9
Train3946%1.0416.1

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.

26.0%Headshot accuracy
38.1%Accuracy (enemy spotted)
39.0%Spray accuracy
71.7%Counter-strafing
7.5°Preaim
544msReaction time
63.7%T opening success
57.5%CT opening success
0.49Enemies flashed / flash
5.0%Flash assists
12.13HE damage / grenade
5.18Flashes / 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. 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 0.4851 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0421%11 Nov →
inferno13–100.0727%9 Nov →
anubis13–10-0.0130%7 Nov →
dust213–70.0118%5 Nov →
dust217–190.0215%4 Nov →
mirage13–80.0132%4 Nov →
dust26–130.0150%2 Nov →
vertigo13–9-0.0230%30 Oct →
vertigo16–130.0915%30 Oct →
nuke9–130.0316%26 Oct →
dust213–50.1033%25 Oct →
dust211–130.0148%25 Oct →
dust213–110.0540%25 Oct →
dust210–130.1122%24 Oct →
dust213–100.0536%24 Oct →
inferno7–130.0316%24 Oct →
anubis9–13-0.0135%24 Oct →
dust213–20.1224%24 Oct →
anubis13–40.0921%24 Oct →
dust213–100.0725%24 Oct →
inferno13–00.0642%22 Oct →
dust213–100.0524%22 Oct →
inferno14–160.0829%20 Oct →
vertigo13–20.1326%20 Oct →
inferno9–130.0526%20 Oct →
dust211–130.0115%19 Oct →
dust216–130.0714%19 Oct →
anubis6–13-0.0519%17 Oct →
inferno14–160.0126%17 Oct →
vertigo13–20.0521%16 Oct →
inferno13–11-0.0330%16 Oct →
anubis3–13-0.0517%16 Oct →
inferno8–13-0.056%16 Oct →
dust210–130.0522%13 Oct →
anubis13–110.1230%11 Oct →
anubis13–50.0621%11 Oct →
dust225–210.0419%10 Oct →
dust213–40.0816%10 Oct →
dust213–50.0811%10 Oct →
inferno11–130.029%3 Oct →
inferno14–160.0629%3 Oct →
dust213–7-0.0213%2 Oct →
anubis13–00.0720%1 Oct →
dust216–120.0624%1 Oct →
vertigo11–13-0.0010%29 Sept →
dust211–130.0023%28 Sept →
dust213–30.0527%28 Sept →
anubis4–13-0.0130%28 Sept →
dust211–130.0620%27 Sept →
inferno6–130.0217%27 Sept →
inferno8–13-0.0620%26 Sept →
cache9–130.0024%24 Sept →
mirage13–20.0616%24 Sept →
dust29–130.0523%23 Sept →
dust213–30.0417%23 Sept →
nuke14–16-0.0111%23 Sept →
anubis5–13-0.069%23 Sept →
dust213–160.0524%20 Sept →
anubis28–25-0.0115%19 Sept →
vertigo13–60.0036%19 Sept →
dust213–60.0521%19 Sept →
nuke13–110.0431%18 Sept →
inferno13–110.0725%18 Sept →
dust210–13-0.0031%18 Sept →
inferno13–80.0629%13 Sept →
dust213–40.0218%12 Sept →
vertigo16–140.0417%12 Sept →
dust213–50.0213%12 Sept →
mirage10–130.0525%9 Sept →
mirage13–90.1123%9 Sept →
dust213–80.0717%5 Sept →
inferno13–00.0718%5 Sept →
anubis13–110.0126%4 Sept →
inferno13–100.0016%3 Sept →
cache9–130.0316%1 Sept →
mirage16–130.1126%31 Aug →
dust213–110.0632%30 Aug →
dust211–130.0117%29 Aug →
dust213–110.0521%26 Aug →
nuke4–13-0.0521%25 Aug →
dust24–130.0325%5 Aug →
inferno11–130.0013%30 Jul →
inferno13–16-0.0125%30 Jul →
dust25–130.0517%26 Jul →
dust216–140.0730%16 Jul →
inferno13–110.026%14 Jul →
inferno5–13-0.0511%10 Jul →
mirage8–13-0.0434%1 Jul →
mirage12–16-0.066%28 Jun →
dust214–16-0.0613%23 Jun →
dust27–13-0.066%20 Jun →
mirage12–160.0116%20 Jun →
anubis8–13-0.0511%17 Jun →
dust22–13-0.0333%15 Jun →
inferno13–100.0332%13 Jun →
dust28–130.0118%13 Jun →
mirage5–13-0.0733%6 Jun →
mirage7–130.0526%4 Jun →
dust29–130.0215%3 Jun →
dust213–70.0319%26 May →

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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