Brad Shit (in toilet)

Brad Shit (in toilet) — CS2 Stats

BE76561198201521181[U:1:241255453]Steam profile ↗✓ No bans

852Tracked matches33%Win rate2021Tracked since
1,723Hours in CS9Hrs last 2 wks
CSDB Rating2.0 LearningPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches20——
Win rate30%——
K/D0.27——
Headshot %28%——

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 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 Level 3 among CSDB-tracked players (n=10,045), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate35.9%41.8%42.7%6.8% short
Shot accuracy14.4%12.2%11.3%above
Kill/death ratio0.440.980.990.55 short
Match win rate34.2%43.3%43.9%9.7% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBrad Shit (in toilet)FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim19
Positioning16
Utility14

0–100 skill scores via Leetify.

Recent form

COLD35–54–11Last 10035%Win rateLLWWLLLLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.6pp headshot accuracy · +70ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 8%
  • Avg reaction 856ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 8%
  • Avg reaction 864ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 829ms

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 (+0.9 against its own average).

Aim1.9
Utility1.4
Positioning1.6
Opening Duels0.0
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

jL

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 843ms 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

Aim1.9
Positioning1.6
Utility1.4
Mechanics6.2
Opening Duels0.0
Win Impact0.0

Composite 2.0/10 (Learning), 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 rating-0.07−0.02
first ⅓ avg -0.06 → last ⅓ avg -0.07
Reaction time844ms−30ms
first ⅓ avg 874ms → last ⅓ avg 844ms
Headshot accuracy13.3%+3.0%
first ⅓ avg 10.3% → last ⅓ avg 13.3%

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 · 13–1 · mirage, 23 Jun →
56%Best headshot accuracy · 3–13 · anubis, 1 Aug →
578msFastest reaction time · 13–3 · inferno, 23 Jun →
13–1Biggest win · anubis, 2 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
2–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 83% over 6anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoD267–1927%-0.06
mirageD216–1529%-0.05
dust2C156–940%-0.07
anubisD92–722%-0.07
ancientA74–357%-0.06
nukeS65–183%-0.06
cacheC52–340%-0.11
overpass—41–325%-0.08
vertigo—21–150%-0.11
boulder—20–20%-0.15
office—10–10%-0.09
shelter—11–0100%-0.09
train—10–10%-0.16

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,245Lifetime kills
0.44K/D
2,898Matches
34.2%Match win rate
35.9%Headshot %
14.4%Shot accuracy · Top 50% of Level 3 players
2,317MVPs
922Hours (in match)
2,218Bombs planted
189Bombs defused

Most-used weapons

Lifetime map wins

3,088inferno
2,349nuke
2,035vertigo
1,848dust2
751train
646office
231lake
119italy

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

Faceit stats

Combat

18Matches
22%Win rate
0.35Avg K/D
34.8ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
9%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno633%0.436.5
Nuke50%0.285.0
Anubis450%0.355.0
Mirage10%0.508.0
Dust210%0.386.0

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.

13.7%Headshot accuracy
27.2%Accuracy (enemy spotted)
29.1%Spray accuracy
78.1%Counter-strafing
11.4°Preaim
843msReaction time
20.0%T opening success
13.9%CT opening success
0.21Enemies flashed / flash
4.0%Flash assists
6.37HE damage / grenade
0.48Flashes / 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 13.737% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 842.8992ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.2118 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
office11–13-0.093%1 Oct →
inferno10–13-0.099%1 Oct →
inferno13–70.009%1 Oct →
vertigo13–5-0.088%25 Sept →
inferno7–13-0.079%24 Sept →
inferno10–13-0.0711%23 Sept →
inferno7–13-0.094%23 Sept →
inferno7–13-0.0510%6 Sept →
nuke9–13-0.062%6 Sept →
dust210–13-0.1314%29 Aug →
inferno13–11-0.0317%29 Aug →
mirage10–13-0.0914%29 Aug →
ancient5–13-0.0713%10 Aug →
anubis4–13-0.0610%9 Aug →
mirage1–13-0.098%5 Aug →
inferno2–13-0.070%4 Aug →
anubis12–12-0.1112%4 Aug →
mirage12–12-0.0822%3 Aug →
anubis13–10.0125%2 Aug →
inferno13–5-0.093%2 Aug →
ancient13–1-0.0433%2 Aug →
mirage13–5-0.0019%2 Aug →
nuke13–9-0.0810%2 Aug →
cache13–4-0.0715%2 Aug →
dust212–12-0.1216%2 Aug →
dust26–13-0.1433%2 Aug →
inferno9–13-0.0612%1 Aug →
ancient5–13-0.108%1 Aug →
anubis3–13-0.0856%1 Aug →
inferno8–13-0.1022%31 Jul →
ancient13–5-0.030%31 Jul →
cache8–13-0.1112%31 Jul →
mirage11–13-0.090%28 Jul →
nuke13–8-0.0514%27 Jul →
inferno9–13-0.0413%27 Jul →
mirage13–9-0.0810%26 Jul →
shelter13–6-0.0912%26 Jul →
inferno13–6-0.0919%26 Jul →
train7–13-0.169%26 Jul →
inferno11–13-0.0017%25 Jul →
anubis13–100.0311%24 Jul →
ancient10–13-0.1010%24 Jul →
cache13–9-0.0914%22 Jul →
mirage13–110.0122%21 Jul →
dust29–13-0.0118%21 Jul →
mirage12–12-0.043%20 Jul →
ancient10–3-0.069%20 Jul →
boulder7–13-0.1521%19 Jul →
inferno13–9-0.0522%19 Jul →
anubis12–12-0.0717%19 Jul →
mirage6–13-0.148%19 Jul →
mirage8–13-0.0924%17 Jul →
inferno6–13-0.1026%17 Jul →
boulder8–13-0.1514%11 Jul →
inferno3–13-0.099%11 Jul →
anubis10–13-0.0915%10 Jul →
cache9–13-0.120%10 Jul →
dust213–9-0.0213%10 Jul →
vertigo3–13-0.130%10 Jul →
cache12–12-0.1320%30 Jun →
dust213–9-0.0220%26 Jun →
mirage13–8-0.0526%24 Jun →
inferno13–10-0.0528%24 Jun →
anubis6–13-0.1114%23 Jun →
mirage13–4-0.0525%23 Jun →
dust25–13-0.1011%23 Jun →
mirage8–130.0111%23 Jun →
inferno13–30.1114%23 Jun →
mirage13–10.188%23 Jun →
mirage9–13-0.042%23 Jun →
nuke13–100.009%23 Jun →
dust212–12-0.0614%23 Jun →
inferno12–12-0.106%23 Jun →
inferno6–13-0.080%22 Jun →
mirage10–13-0.093%22 Jun →
dust213–9-0.0826%22 Jun →
mirage5–13-0.1124%22 Jun →
dust21–13-0.100%21 Jun →
mirage2–13-0.110%19 Jun →
nuke13–3-0.098%19 Jun →
mirage7–13-0.070%19 Jun →
overpass12–12-0.097%17 Jun →
dust213–6-0.0333%17 Jun →
inferno12–12-0.0610%17 Jun →
mirage6–13-0.038%17 Jun →
mirage9–13-0.0514%17 Jun →
dust211–13-0.0813%16 Jun →
dust213–8-0.0219%16 Jun →
inferno5–8-0.046%16 Jun →
dust29–13-0.097%15 Jun →
ancient13–4-0.0511%14 Jun →
overpass8–13-0.056%14 Jun →
inferno9–13-0.046%14 Jun →
dust213–8-0.0421%14 Jun →
anubis13–16-0.163%13 Jun →
inferno12–12-0.086%13 Jun →
nuke13–5-0.077%13 Jun →
overpass13–6-0.0515%13 Jun →
overpass6–13-0.1310%13 Jun →
inferno7–13-0.0423%13 Jun →

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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