4000ms Brain Lag

4000ms Brain Lag — CS2 Stats

AU76561198323828058[U:1:363562330]Steam profile ↗✓ No bans

610Tracked matches48%Win rate2023Tracked since
414Hours in CS
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating4,750Grey band · top ~79.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 610 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,750 -23 23 Aug – 23 Oct · 14 days played
4,3184,868peak 4,86823 Aug23 Oct
4,999Peak Premier in tracked matches
24Days played since 2026-08-23

Premier CS Rating

  • 118 below peak (4,868)
  • 0 over 30 days · steady
  • Next: Light Blue band at 5,000 — 250 to go

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 23 Oct 2026 and 31 Oct 2026.

Measured 23 Oct 2026 → 31 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate28.0%38.2%39.9%12.0% short
Shot accuracy1.7%3.6%7.0%5.3% short
Kill/death ratio0.690.830.920.22 short
Match win rate31.1%40.2%42.3%11.1% short

This profile sits below the typical Light Blue band player on every metric we can compare.

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

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CSDB.GG4000ms Brain LagPREMIER4,750 · Grey bandcsdb.gg/stats

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Performance scores

Aim41
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY42–49–9Last 10042%Win rateLLWTLWLWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −2.6pp headshot accuracy · −32ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 555ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 552ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 568ms

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 (+2.5 against its own average).

Aim4.1
Utility3.6
Positioning5.3
Opening Duels2.3
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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 576ms 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

Aim4.1
Positioning5.3
Utility3.6
Mechanics5.4
Opening Duels3.7
Win Impact4.3

Composite 4.0/10 (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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time574ms+18ms
first ⅓ avg 556ms → last ⅓ avg 574ms
Headshot accuracy12.0%+1.1%
first ⅓ avg 10.9% → last ⅓ avg 12.0%

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

0.12Best match rating · 13–7 · anubis, 16 Sept →
26%Best headshot accuracy · 6–13 · mirage, 18 Sept →
391msFastest reaction time · 7–13 · dust2, 8 Sept →
13–1Biggest win · overpass, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 67% over 6ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C3713–2435%-0.02
infernoC177–1041%-0.00
mirageA159–660%0.00
nukeC135–838%0.01
cacheS64–267%0.02
ancientD51–420%-0.01
vertigo—31–233%-0.02
anubis—31–233%0.02
overpass—11–0100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,868Lifetime kills
0.69K/D
1,459Matches
31.1%Match win rate
28.0%Headshot %
1.7%Shot accuracy
1,506MVPs
414Hours (in match)
855Bombs planted
345Bombs defused

Most-used weapons

Lifetime map wins

2,515dust2
1,736inferno
1,093nuke
220vertigo
47train
22office
21lake
17dust

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

Faceit stats

Combat

2Matches
0%Win rate
0.50Avg K/D
56.5ADR
44%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.539.0
Mirage10%0.466.0

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.

12.1%Headshot accuracy
28.4%Accuracy (enemy spotted)
32.7%Spray accuracy
74.3%Counter-strafing
11.2°Preaim
576msReaction time
46.2%T opening success
43.8%CT opening success
0.55Enemies flashed / flash
5.6%Flash assists
7.64HE damage / grenade
4.07Flashes / 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 12.0817% — below the 15% mark we flag

    Aim Training →
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0215%25 Sept →
inferno3–130.013%24 Sept →
mirage13–11-0.037%23 Sept →
vertigo12–120.0115%23 Sept →
inferno2–130.019%21 Sept →
inferno13–11-0.003%21 Sept →
nuke2–13-0.026%21 Sept →
nuke13–9-0.0017%21 Sept →
mirage13–60.0114%21 Sept →
anubis4–13-0.0017%21 Sept →
dust213–7-0.0213%21 Sept →
dust212–12-0.0517%20 Sept →
vertigo13–2-0.069%19 Sept →
ancient8–13-0.059%18 Sept →
overpass13–10.089%18 Sept →
mirage6–13-0.0626%18 Sept →
mirage13–6-0.0213%17 Sept →
nuke14–16-0.0212%17 Sept →
nuke13–30.0517%17 Sept →
ancient5–130.038%17 Sept →
dust213–110.0313%16 Sept →
mirage13–30.037%16 Sept →
ancient11–13-0.029%16 Sept →
inferno11–13-0.0314%16 Sept →
inferno9–13-0.0521%16 Sept →
anubis13–70.129%16 Sept →
ancient7–13-0.0610%15 Sept →
vertigo12–12-0.004%15 Sept →
dust212–12-0.0220%15 Sept →
dust212–120.0611%15 Sept →
dust23–13-0.0413%15 Sept →
dust213–30.0018%14 Sept →
dust211–13-0.0210%14 Sept →
cache12–12-0.077%14 Sept →
dust26–130.0113%14 Sept →
nuke13–11-0.075%14 Sept →
dust210–130.046%14 Sept →
nuke7–130.017%13 Sept →
nuke12–120.1114%13 Sept →
nuke10–13-0.030%13 Sept →
dust28–2-0.0418%13 Sept →
inferno2–13-0.0315%13 Sept →
inferno8–13-0.0716%13 Sept →
dust211–130.0215%13 Sept →
dust28–13-0.0310%13 Sept →
dust210–13-0.0311%12 Sept →
cache13–70.0513%12 Sept →
dust213–50.0515%12 Sept →
dust211–13-0.0410%12 Sept →
dust26–13-0.0411%12 Sept →
nuke8–130.0614%12 Sept →
dust212–120.0110%12 Sept →
mirage13–20.016%12 Sept →
dust213–110.0012%11 Sept →
inferno13–30.0511%11 Sept →
nuke4–13-0.0717%10 Sept →
inferno10–130.0317%10 Sept →
inferno13–60.0411%10 Sept →
dust213–60.029%10 Sept →
dust23–13-0.160%10 Sept →
nuke13–30.0714%10 Sept →
dust27–13-0.0210%10 Sept →
mirage7–130.0114%9 Sept →
ancient13–100.024%9 Sept →
inferno6–130.0014%8 Sept →
dust23–13-0.090%8 Sept →
inferno8–130.0112%8 Sept →
dust22–13-0.0515%8 Sept →
dust216–13-0.0413%8 Sept →
mirage13–6-0.0123%8 Sept →
dust27–130.0010%8 Sept →
inferno13–100.0115%8 Sept →
inferno13–11-0.0314%8 Sept →
dust213–11-0.067%8 Sept →
mirage13–30.0614%8 Sept →
mirage13–100.038%7 Sept →
dust22–13-0.010%6 Sept →
cache13–70.0310%28 Aug →
cache13–70.0612%28 Aug →
mirage12–120.0610%28 Aug →
mirage13–2-0.0013%28 Aug →
dust213–9-0.0714%27 Aug →
cache13–20.0012%27 Aug →
nuke13–40.056%27 Aug →
dust27–13-0.0213%27 Aug →
inferno5–13-0.0715%27 Aug →
cache9–130.077%27 Aug →
dust213–2-0.013%26 Aug →
mirage8–13-0.079%26 Aug →
mirage6–13-0.056%26 Aug →
nuke11–13-0.026%25 Aug →
inferno13–110.015%25 Aug →
inferno13–50.095%25 Aug →
dust29–13-0.0216%25 Aug →
mirage7–130.0913%25 Aug →
dust213–7-0.0013%25 Aug →
anubis3–13-0.069%25 Aug →
dust20–3-0.0217%25 Aug →
dust211–13-0.0318%23 Aug →
dust213–50.0310%23 Aug →

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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