DEAD

DEAD — CS2 Stats

76561199511974862[U:1:1551709134]Steam profile ↗✓ No bans

932Tracked matches59%Win rate2023Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating22,047Top 50% of 211,827 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#55413 of 258717 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (48 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: 22,047 +7,937 21 May – 12 Sept · 24 days played
13,99422,715peak 22,71521 May12 Sept
22,715Peak Premier in tracked matches
30Days played since 2026-05-21

Premier CS Rating

  • 668 below peak (22,715)
  • +1,541 over 30 days · improving
  • +8,042 over 90 days
  • Next: Red band at 25,000 — 2,953 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

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

Share this profile

CSDB.GGDEADFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER22,047 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning28
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY59–37–4Last 10059%Win rateLLWLLWWWWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −0.3pp headshot accuracy · +53ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 625ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 628ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 602ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.2
Utility4.7
Positioning2.8
Opening Duels0.0
Clutch3.0

Effective flashesLimited utility dependence

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

b1t

Plays most like b1t 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

Reaction time. 584ms 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

Aim7.2
Positioning2.8
Utility4.7
Mechanics6.9
Opening Duels0.5
Win Impact7.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time577ms−80ms
first ⅓ avg 657ms → last ⅓ avg 577ms
Headshot accuracy18.0%+0.7%
first ⅓ avg 17.3% → last ⅓ avg 18.0%

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

0.14Best match rating · 13–11 · ancient, 1 Aug →
40%Best headshot accuracy · 13–4 · mirage, 18 Jul →
422msFastest reaction time · 13–5 · mirage, 28 Jul →
13–2Biggest win · mirage, 2 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
11–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 83% over 6ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageS3323–1070%-0.02
dust2S1712–571%-0.03
ancientC135–838%-0.01
nukeB126–650%-0.02
anubisC83–538%-0.02
cacheS65–183%-0.02
infernoC52–340%-0.02
overpass—31–233%-0.03
vertigo—21–150%-0.04
office—11–0100%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

175Matches
47%Win rate
0.81Avg K/D
69.1ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3949%0.8313.2
Nuke3650%0.7812.8
Dust23551%0.8113.2
Inferno2733%0.7913.0
Vertigo1267%1.0214.5
Ancient933%0.579.7
Anubis714%0.6512.3
Overpass4100%1.2220.5

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.

17.3%Headshot accuracy
34.2%Accuracy (enemy spotted)
33.5%Spray accuracy
80.9%Counter-strafing
8.2°Preaim
584msReaction time
20.3%T opening success
34.0%CT opening success
0.74Enemies flashed / flash
2.3%Flash assists
8.21HE damage / grenade
3.84Flashes / 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

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

    Flashes per match 3.8404 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 20.2687% — 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.

38% 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
ancient9–13-0.066%12 Sept →
mirage7–13-0.0814%6 Sept →
dust213–110.0210%3 Sept →
anubis8–13-0.0821%3 Sept →
ancient7–13-0.0518%3 Sept →
mirage13–4-0.0224%3 Sept →
mirage13–7-0.078%3 Sept →
ancient13–7-0.0228%3 Sept →
mirage13–6-0.0215%3 Sept →
nuke13–4-0.0514%3 Sept →
ancient16–14-0.0712%3 Sept →
dust213–9-0.079%2 Sept →
mirage13–2-0.0611%2 Sept →
dust213–9-0.0421%2 Sept →
inferno14–16-0.0514%30 Aug →
mirage13–10-0.0321%11 Aug →
mirage13–100.0325%8 Aug →
mirage13–10-0.0613%8 Aug →
dust27–13-0.0721%8 Aug →
ancient13–110.1415%1 Aug →
dust213–40.0631%1 Aug →
anubis15–15-0.0013%1 Aug →
dust26–13-0.0620%31 Jul →
ancient10–13-0.0116%30 Jul →
mirage5–13-0.0614%29 Jul →
mirage1–13-0.0119%29 Jul →
mirage13–70.0438%29 Jul →
ancient11–130.0617%29 Jul →
cache7–13-0.0324%28 Jul →
cache13–10-0.0119%28 Jul →
mirage13–50.0538%28 Jul →
ancient9–130.0211%28 Jul →
anubis7–130.0317%28 Jul →
dust213–11-0.0320%27 Jul →
mirage13–90.0015%27 Jul →
cache13–11-0.0222%27 Jul →
anubis6–13-0.0212%26 Jul →
dust213–9-0.0322%26 Jul →
nuke11–130.0118%25 Jul →
mirage13–16-0.0326%25 Jul →
dust211–13-0.0119%25 Jul →
mirage16–120.0314%25 Jul →
nuke13–90.0215%25 Jul →
nuke13–50.056%25 Jul →
anubis14–160.0510%25 Jul →
mirage8–13-0.0136%24 Jul →
mirage13–7-0.0320%24 Jul →
mirage8–13-0.128%24 Jul →
cache13–11-0.0414%24 Jul →
dust213–11-0.0724%24 Jul →
mirage11–13-0.0714%23 Jul →
mirage13–4-0.0114%23 Jul →
inferno13–8-0.0214%23 Jul →
ancient9–13-0.0310%23 Jul →
cache13–20.017%22 Jul →
mirage13–11-0.0611%22 Jul →
ancient13–40.0419%22 Jul →
anubis13–11-0.0518%21 Jul →
mirage10–13-0.0014%21 Jul →
anubis13–8-0.0410%18 Jul →
dust214–16-0.028%18 Jul →
mirage13–40.0740%18 Jul →
mirage13–10-0.0712%18 Jul →
nuke13–7-0.0120%18 Jul →
vertigo12–120.0315%18 Jul →
dust213–7-0.0921%18 Jul →
nuke10–13-0.0710%18 Jul →
inferno10–13-0.0217%18 Jul →
office13–9-0.0638%17 Jul →
dust213–9-0.0414%17 Jul →
anubis13–8-0.007%17 Jul →
mirage9–13-0.0317%17 Jul →
inferno13–90.0019%17 Jul →
mirage4–13-0.0324%17 Jul →
nuke3–13-0.0228%16 Jul →
nuke4–13-0.0519%16 Jul →
ancient15–15-0.0519%16 Jul →
vertigo13–7-0.1010%15 Jul →
mirage13–6-0.0214%15 Jul →
ancient8–13-0.0327%15 Jul →
dust213–11-0.0513%15 Jul →
mirage8–00.0035%15 Jul →
inferno6–13-0.0310%15 Jul →
ancient13–10-0.0211%15 Jul →
dust213–60.0132%15 Jul →
cache13–5-0.0212%15 Jul →
mirage13–3-0.0117%15 Jul →
dust215–15-0.0416%14 Jul →
nuke2–13-0.0516%14 Jul →
nuke13–80.0110%11 Jul →
overpass6–13-0.0511%14 Jun →
mirage13–9-0.037%14 Jun →
nuke13–5-0.0210%6 Jun →
overpass0–5-0.0317%6 Jun →
mirage19–16-0.049%3 Jun →
nuke7–13-0.0124%22 May →
mirage13–9-0.0013%22 May →
mirage13–5-0.0020%21 May →
overpass13–3-0.0220%21 May →
dust213–110.0316%21 May →

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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