doomsday

doomsday — CS2 Stats

76561198043898871[U:1:83633143]Steam profile ↗✓ No bans

468Tracked matches63%Win rate2026Tracked since
226Hours in CS
CSDB Rating4.1 DevelopingPositional Player
Premier CS Rating6,116Light Blue band · top ~73.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (69 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 468 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,116 -289 5 Jun – 30 Aug · 5 days played
6,1166,513peak 6,5135 Jun30 Aug
6,726Peak Premier in tracked matches
25Days played since 2026-05-27

Premier CS Rating

  • 397 below peak (6,513)
  • -289 over 90 days
  • Next: Blue band at 10,000 — 3,884 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate55.4%39.9%42.0%above
Shot accuracy0.2%7.0%9.6%9.5% short
Kill/death ratio1.510.920.98above
Match win rate50.9%42.3%43.8%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdoomsdayPREMIER6,116 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning45
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY57–34–9Last 10057%Win rateWWWLLLLWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +0.8pp headshot accuracy · +67ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 675ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 687ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 653ms

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 (+1.7 against its own average).

Aim5.2
Utility2.5
Positioning4.5
Opening Duels1.5

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

jL

Plays most like jL 89% 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. 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

Aim5.2
Positioning4.5
Utility2.5
Mechanics4.5
Opening Duels1.4
Win Impact9.4

Composite 4.1/10 (Developing), 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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time632ms−1ms
first ⅓ avg 634ms → last ⅓ avg 632ms
Headshot accuracy8.9%−4.1%
first ⅓ avg 13.0% → last ⅓ avg 8.9%

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

0.15Best match rating · 13–11 · vertigo, 16 Jun →
23%Best headshot accuracy · 4–13 · dust2, 2 Jun →
438msFastest reaction time · 12–12 · anubis, 4 Jun →
13–0Biggest win · inferno, 24 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
5–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 73% over 15cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%-0.02
mirageB178–947%-0.03
ancientS1511–473%0.01
infernoA159–660%-0.01
nukeA127–558%-0.02
anubisS75–271%0.01
cacheD62–433%-0.02
overpass—32–167%-0.01
vertigo—22–0100%0.04
train—11–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

14,723Lifetime kills
1.51K/D · Top 5% of Light Blue band
585Matches
50.9%Match win rate · Top 5% of Light Blue band
55.4%Headshot % · Top 10% of Light Blue band
0.2%Shot accuracy
901MVPs
226Hours (in match)
900Bombs planted
239Bombs defused

Most-used weapons

Lifetime map wins

1,254dust2
843inferno
485nuke
136vertigo
80train
35office
8italy
6aztec

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.6%Headshot accuracy
38.9%Accuracy (enemy spotted)
43.7%Spray accuracy
70.4%Counter-strafing
11.3°Preaim
639msReaction time
36.7%T opening success
34.9%CT opening success
0.33Enemies flashed / flash
2.2%Flash assists
9.89HE damage / grenade
1.61Flashes / 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 8.5579% — 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 0.3291 — below the 0.5 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 36.6662% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–110.036%24 Jul →
inferno13–0-0.016%24 Jul →
dust213–30.0115%24 Jul →
ancient8–13-0.005%24 Jul →
cache7–13-0.0214%24 Jul →
dust28–13-0.0613%17 Jul →
nuke11–13-0.037%17 Jul →
ancient13–8-0.017%17 Jul →
cache7–13-0.048%10 Jul →
mirage11–13-0.089%9 Jul →
cache0–13-0.066%9 Jul →
nuke3–13-0.050%9 Jul →
mirage13–4-0.0510%5 Jul →
inferno13–20.0610%5 Jul →
mirage13–8-0.0310%5 Jul →
overpass13–5-0.0014%5 Jul →
dust213–6-0.0221%5 Jul →
ancient13–100.017%30 Jun →
mirage5–13-0.042%30 Jun →
mirage11–13-0.041%29 Jun →
ancient7–130.0011%24 Jun →
cache13–10.0615%24 Jun →
mirage13–50.062%24 Jun →
ancient16–13-0.037%23 Jun →
cache13–1-0.020%20 Jun →
dust213–2-0.086%20 Jun →
inferno13–20.115%19 Jun →
mirage13–40.0311%19 Jun →
inferno13–40.0312%19 Jun →
inferno13–9-0.0616%19 Jun →
inferno7–13-0.0317%19 Jun →
dust212–12-0.0212%19 Jun →
dust29–13-0.019%16 Jun →
nuke7–13-0.0010%16 Jun →
vertigo13–110.159%16 Jun →
anubis10–13-0.006%16 Jun →
inferno12–12-0.0313%11 Jun →
nuke13–9-0.015%10 Jun →
inferno13–9-0.062%10 Jun →
vertigo13–8-0.068%10 Jun →
mirage7–130.0213%10 Jun →
dust23–13-0.0610%9 Jun →
nuke7–13-0.048%9 Jun →
dust211–13-0.0719%8 Jun →
inferno13–8-0.0415%6 Jun →
dust213–50.017%6 Jun →
inferno2–13-0.014%6 Jun →
mirage13–8-0.0514%6 Jun →
mirage13–11-0.035%5 Jun →
dust211–13-0.0819%5 Jun →
anubis13–40.0610%5 Jun →
ancient13–10-0.006%5 Jun →
mirage10–130.0110%5 Jun →
dust213–8-0.0214%5 Jun →
dust213–10.1317%5 Jun →
ancient16–14-0.0413%5 Jun →
ancient13–4-0.0318%5 Jun →
mirage4–13-0.0417%5 Jun →
overpass13–6-0.0016%5 Jun →
dust213–00.0712%4 Jun →
anubis12–120.0111%4 Jun →
ancient7–13-0.057%4 Jun →
nuke13–10-0.0414%4 Jun →
inferno9–130.0120%4 Jun →
mirage13–6-0.0217%4 Jun →
inferno9–30.035%4 Jun →
dust212–12-0.0711%4 Jun →
anubis13–7-0.0512%4 Jun →
dust212–12-0.0817%4 Jun →
nuke13–90.0022%4 Jun →
inferno13–8-0.076%4 Jun →
mirage12–12-0.0713%3 Jun →
dust29–13-0.0515%3 Jun →
mirage6–13-0.0213%3 Jun →
anubis13–7-0.048%3 Jun →
ancient13–20.1113%3 Jun →
dust24–13-0.0323%2 Jun →
nuke13–5-0.0010%2 Jun →
dust213–8-0.0018%2 Jun →
ancient12–120.1313%30 May →
dust21–13-0.1213%30 May →
dust213–90.0722%30 May →
anubis13–10.0511%30 May →
nuke13–80.0711%30 May →
ancient13–70.0218%30 May →
mirage2–13-0.0519%30 May →
ancient13–70.0014%29 May →
nuke5–13-0.078%29 May →
train13–100.0110%28 May →
inferno4–13-0.0812%28 May →
dust24–13-0.0611%28 May →
ancient13–8-0.016%28 May →
cache12–12-0.024%28 May →
nuke13–7-0.0414%27 May →
dust213–40.0623%27 May →
inferno9–13-0.029%27 May →
anubis13–20.0211%27 May →
mirage13–11-0.0212%27 May →
overpass12–12-0.0211%27 May →
nuke13–6-0.004%27 May →

Match data via Leetify.

Recent teammates

Milestones

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

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