deadpocket

deadpocket — CS2 Stats

US76561198043264034[U:1:82998306]Steam profile ↗✓ No bans

562Tracked matches60%Win rate2023Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating16,939Purple band · top ~20.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (14 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: 16,939 +418 12 Sept – 2 Oct · 5 days played
16,52116,939peak 16,93912 Sept2 Oct
16,939Peak Premier in tracked matches
40Days played since 2026-07-19

Premier CS Rating

  • At peak — 16,939
  • Next: Pink band at 20,000 — 3,061 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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

Share this profile

CSDB.GGdeadpocketPREMIER16,939 · Purple bandcsdb.gg/stats

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Performance scores

Aim48
Positioning72
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY54–37–9Last 10054%Win rateWWTLWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −2.5pp headshot accuracy · −95ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 522ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 518ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 566ms

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 (+3.3 against its own average).

Aim4.8
Utility3.5
Positioning7.2
Opening Duels5.0
Clutch0.0

Limited 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

s1mple

Plays most like s1mple 68% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning7.2
Utility3.5
Mechanics4.1
Opening Duels6.5
Win Impact8.3

Composite 5.5/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time584ms−89ms
first ⅓ avg 673ms → last ⅓ avg 584ms
Headshot accuracy14.5%+2.6%
first ⅓ avg 11.9% → last ⅓ avg 14.5%

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 · 13–5 · mirage, 6 Sept →
32%Best headshot accuracy · 9–13 · dust2, 16 Sept →
445msFastest reaction time · 3–13 · inferno, 12 Aug →
13–0Biggest win · train, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
11–5In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 73% over 11infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%0.01
anubisS1711–665%0.01
ancientS118–373%0.02
nukeA116–555%0.00
infernoD103–730%-0.02
cacheA95–456%-0.00
mirageS64–267%0.02
train—32–167%-0.01
vertigo—30–30%0.04
overpass—20–20%-0.01
fachwerk—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.38Avg K/D
44.4ADR
17%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

14.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.4%Spray accuracy
68.4%Counter-strafing
11.8°Preaim
578msReaction time
54.4%T opening success
57.3%CT opening success
0.33Enemies flashed / flash
5.9%Flash assists
8.15HE damage / grenade
4.72Flashes / 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 14.5063% — 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 0.3315 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0016%15 Oct →
dust213–8-0.0013%15 Oct →
dust212–12-0.0119%12 Oct →
ancient10–13-0.039%11 Oct →
nuke13–10-0.0212%9 Oct →
anubis13–11-0.055%8 Oct →
overpass9–13-0.048%7 Oct →
train13–9-0.0015%7 Oct →
train13–00.0213%7 Oct →
train2–13-0.0315%7 Oct →
inferno12–12-0.0418%5 Oct →
inferno11–13-0.0611%4 Oct →
dust213–20.0327%4 Oct →
anubis13–110.0516%4 Oct →
dust213–10-0.057%2 Oct →
dust212–12-0.0112%1 Oct →
ancient5–13-0.0615%1 Oct →
cache11–13-0.0411%1 Oct →
ancient13–50.0415%24 Sept →
dust213–6-0.0118%24 Sept →
vertigo7–130.0517%24 Sept →
nuke13–40.0712%24 Sept →
ancient13–60.0916%24 Sept →
dust29–130.0732%16 Sept →
anubis12–12-0.0712%16 Sept →
vertigo6–130.048%16 Sept →
anubis12–120.0820%16 Sept →
fachwerk13–60.1412%15 Sept →
anubis13–10-0.0310%15 Sept →
dust211–130.0126%15 Sept →
nuke13–11-0.0213%12 Sept →
nuke13–50.029%11 Sept →
dust213–100.0419%11 Sept →
dust213–10-0.0316%10 Sept →
anubis12–120.0615%9 Sept →
overpass8–130.0217%9 Sept →
inferno12–12-0.0110%9 Sept →
mirage13–50.1416%6 Sept →
mirage13–50.0915%6 Sept →
cache13–100.0215%27 Aug →
dust210–130.0614%27 Aug →
mirage3–13-0.106%27 Aug →
cache13–40.0410%26 Aug →
dust213–11-0.0310%26 Aug →
cache12–120.0226%26 Aug →
mirage13–11-0.0717%26 Aug →
inferno3–13-0.0314%25 Aug →
mirage13–110.0818%25 Aug →
anubis13–50.0510%25 Aug →
ancient13–50.1016%25 Aug →
dust213–90.1219%25 Aug →
dust213–30.0213%24 Aug →
dust26–13-0.0616%20 Aug →
ancient7–13-0.109%20 Aug →
anubis13–7-0.0413%20 Aug →
nuke7–13-0.0624%20 Aug →
dust27–13-0.0112%19 Aug →
anubis13–90.0415%19 Aug →
dust213–110.0711%17 Aug →
cache13–80.0118%13 Aug →
dust28–13-0.0524%12 Aug →
inferno3–13-0.0516%12 Aug →
ancient13–70.1213%12 Aug →
nuke5–13-0.034%9 Aug →
cache13–4-0.027%9 Aug →
dust213–7-0.006%7 Aug →
ancient13–4-0.059%7 Aug →
mirage11–13-0.016%7 Aug →
dust212–12-0.0713%6 Aug →
nuke4–13-0.009%3 Aug →
ancient13–70.029%31 Jul →
cache13–30.0816%30 Jul →
anubis9–13-0.0513%30 Jul →
inferno1–13-0.025%30 Jul →
cache8–13-0.055%26 Jul →
nuke8–13-0.0117%26 Jul →
inferno5–13-0.0110%25 Jul →
ancient13–50.0315%25 Jul →
dust213–30.0718%25 Jul →
nuke1–90.0315%25 Jul →
anubis4–13-0.028%24 Jul →
dust28–13-0.0316%24 Jul →
inferno13–60.027%24 Jul →
dust213–3-0.0311%24 Jul →
anubis6–130.0213%24 Jul →
anubis13–80.0113%22 Jul →
dust213–110.0719%22 Jul →
dust211–130.0316%22 Jul →
nuke13–110.0316%21 Jul →
anubis13–10-0.005%21 Jul →
inferno13–90.0412%21 Jul →
anubis13–50.045%21 Jul →
nuke13–110.026%21 Jul →
dust22–130.0324%21 Jul →
ancient13–10.026%20 Jul →
dust27–13-0.0510%20 Jul →
anubis13–50.0919%20 Jul →
vertigo10–130.0213%19 Jul →
anubis13–110.0116%19 Jul →
cache3–13-0.085%19 Jul →

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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