BigстильDooM

BigстильDooM — CS2 Stats

NF76561198811027800[U:1:850762072]Steam profile ↗✓ No bans

650Tracked matches39%Win rate2021Tracked since
1,538Hours in CS26Hrs last 2 wks
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating7,854Light Blue band · top ~65.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 7,854 -718 21 Oct – 12 Nov · 12 days played
7,2759,154peak 9,15421 Oct12 Nov
9,339Peak Premier in tracked matches
39Days played since 2026-09-20

Premier CS Rating

  • 1,300 below peak (9,154)
  • Next: Blue band at 10,000 — 2,146 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-11-11

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 rate41.2%39.9%42.0%meets
Shot accuracy9.2%7.0%9.6%0.4% short
Kill/death ratio1.250.920.98above
Match win rate45.4%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.GGBigстильDooMPREMIER7,854 · 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

Aim84
Positioning70
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY35–59–6Last 10035%Win rateTWLWWLWLLL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −3.0pp headshot accuracy · −13ms 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 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 569ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 570ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 577ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.4
Utility5.0
Positioning7.0
Opening Duels6.2
Clutch7.0

Reliable in 1v1s

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 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower 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

T openings. 72% T opening-duel success — entries that actually open the round.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Reaction time. 569ms 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

Aim8.4
Positioning7.0
Utility5.0
Mechanics7.2
Opening Duels8.7
Win Impact1.4

Composite 6.1/10 (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+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time565ms+42ms
first ⅓ avg 524ms → last ⅓ avg 565ms
Headshot accuracy17.3%+3.2%
first ⅓ avg 14.1% → last ⅓ avg 17.3%

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

0.18Best match rating · 12–16 · nuke, 2 Nov →
39%Best headshot accuracy · 4–13 · inferno, 5 Nov →
367msFastest reaction time · 0–13 · inferno, 17 Oct →
13–2Biggest win · inferno, 11 Nov →

Across the last 100 tracked matches.

Highlights

3Longest win streak
4–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 57% over 14cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD289–1932%0.02
nukeC228–1436%0.04
mirageA148–657%0.03
dust2D102–820%-0.00
vertigoD61–517%0.01
ancientD62–433%0.02
cacheD60–60%-0.00
office—22–0100%0.04
boulder—21–150%-0.04
train—11–0100%-0.03
anubis—10–10%-0.03
overpass—11–0100%-0.02
italy—10–10%-0.08

Across the last 100 tracked matches.

Lifetime stats

42,816Lifetime kills
1.25K/D · Top 10% of Light Blue band
2,330Matches
45.4%Match win rate · Top 25% of Light Blue band
41.2%Headshot % · Top 50% of Light Blue band
9.2%Shot accuracy · Top 50% of Light Blue band
6,200MVPs
687Hours (in match)
1,946Bombs planted
471Bombs defused

Most-used weapons

AK-4710,511
AWP3,271
MP91,450
FAMAS1,329
MAC-101,115

Lifetime map wins

3,563inferno
2,389nuke
1,462dust2
989vertigo
462train
343office
328cbble
247italy

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

Faceit stats

Combat

30Matches
60%Win rate
1.19Avg K/D
90.8ADR
50%Headshot %

Clutches & streaks

55%1v1 clutch win
38%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient667%1.2922.0
Inferno667%0.9813.8
Mirage540%1.0614.8
Nuke580%1.5118.4
Dust2333%1.0115.0
Anubis20%0.5911.5
Cache2100%1.7523.5
Vertigo1100%1.6221.0

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.

18.0%Headshot accuracy
40.4%Accuracy (enemy spotted)
44.7%Spray accuracy
82.6%Counter-strafing
10.1°Preaim
569msReaction time
72.3%T opening success
59.6%CT opening success
0.43Enemies flashed / flash
7.1%Flash assists
9.17HE damage / grenade
13.14Flashes / 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 0.4257 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo12–12-0.0115%13 Nov →
dust213–8-0.0519%13 Nov →
dust212–160.0123%12 Nov →
nuke13–70.0926%12 Nov →
inferno13–20.1710%11 Nov →
nuke9–130.0417%11 Nov →
mirage12–10.008%11 Nov →
ancient14–160.1219%10 Nov →
inferno8–13-0.0316%10 Nov →
nuke3–13-0.0321%9 Nov →
mirage0–13-0.0523%8 Nov →
cache6–13-0.0222%8 Nov →
mirage7–13-0.0111%8 Nov →
nuke9–130.0310%7 Nov →
inferno13–100.0920%7 Nov →
nuke13–110.0913%7 Nov →
cache0–13-0.0529%5 Nov →
mirage13–20.1321%5 Nov →
nuke7–130.1115%5 Nov →
inferno4–130.0339%5 Nov →
inferno13–60.0918%4 Nov →
cache8–130.0221%4 Nov →
dust20–5-0.100%4 Nov →
mirage4–50.0613%4 Nov →
inferno2–130.029%2 Nov →
nuke12–160.1822%2 Nov →
inferno13–90.1319%2 Nov →
vertigo12–120.0115%1 Nov →
office13–110.0513%1 Nov →
inferno13–8-0.0320%1 Nov →
dust211–130.0220%1 Nov →
dust213–7-0.0112%1 Nov →
inferno7–110.0113%31 Oct →
nuke13–8-0.0219%31 Oct →
boulder13–60.0325%31 Oct →
inferno7–13-0.0414%31 Oct →
inferno7–130.1124%28 Oct →
ancient13–110.0630%28 Oct →
nuke11–130.0513%28 Oct →
nuke13–80.0221%28 Oct →
dust29–130.0418%28 Oct →
nuke13–100.0513%27 Oct →
dust213–160.0216%27 Oct →
inferno13–40.0423%27 Oct →
dust27–13-0.0425%27 Oct →
nuke7–130.0015%26 Oct →
inferno4–13-0.069%26 Oct →
inferno4–13-0.0116%25 Oct →
train13–4-0.0338%25 Oct →
inferno7–9-0.059%24 Oct →
nuke4–13-0.0616%24 Oct →
mirage10–130.058%24 Oct →
mirage13–70.048%24 Oct →
cache1–13-0.0714%23 Oct →
boulder7–13-0.1010%23 Oct →
inferno7–130.0220%23 Oct →
nuke4–130.0115%21 Oct →
nuke15–150.0312%21 Oct →
dust28–130.0125%21 Oct →
mirage13–2-0.0120%21 Oct →
anubis11–13-0.0322%21 Oct →
inferno13–6-0.0423%21 Oct →
office13–80.0318%18 Oct →
inferno4–13-0.0916%18 Oct →
ancient8–130.0114%17 Oct →
inferno0–13-0.0510%17 Oct →
nuke4–11-0.0218%16 Oct →
nuke8–130.0620%15 Oct →
mirage10–130.0213%15 Oct →
cache2–130.0616%13 Oct →
inferno3–90.0417%13 Oct →
vertigo12–12-0.029%11 Oct →
mirage13–10-0.0319%10 Oct →
inferno13–60.068%10 Oct →
nuke13–100.0712%9 Oct →
inferno9–13-0.028%9 Oct →
ancient4–13-0.0611%8 Oct →
inferno10–130.0412%8 Oct →
vertigo13–110.1110%6 Oct →
nuke12–120.0811%6 Oct →
inferno13–50.1022%6 Oct →
vertigo8–13-0.0113%1 Oct →
inferno3–130.0420%1 Oct →
nuke13–70.1319%30 Sept →
mirage4–130.0421%30 Sept →
dust27–130.1019%30 Sept →
nuke4–13-0.067%29 Sept →
ancient16–13-0.0512%28 Sept →
cache6–130.0411%26 Sept →
nuke13–80.0718%26 Sept →
ancient8–130.0115%26 Sept →
overpass8–5-0.0215%25 Sept →
inferno4–13-0.047%25 Sept →
italy8–13-0.0811%24 Sept →
mirage13–50.066%23 Sept →
inferno0–13-0.0317%23 Sept →
vertigo12–12-0.0313%23 Sept →
mirage13–90.0123%21 Sept →
inferno8–13-0.0318%20 Sept →
mirage16–130.0313%20 Sept →

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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