iD_BraDzzzz

iD_BraDzzzz — CS2 Stats

76561198043087872[U:1:82822144]Steam profile ↗✓ No bans

100Tracked matches53%Win rate2021Tracked since
504Hours in CS
CSDB Rating3.7 LearningPositional Player
WingmanGold Nova III
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,155 +1,699 31 Jan – 29 Mar · 20 days played
4,6348,155peak 8,15531 Jan29 Mar
8,155Peak Premier in tracked matches
50Days played since 2021-05-25

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

Performance scores

Aim44
Positioning34
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY46–43–7Last 9648%Win rateLLWWWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 670ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 704ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 688ms

Newest first, from the last 96 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 (+1.5 against its own average).

Aim4.4
Utility2.4
Positioning3.4
Opening Duels0.0

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

iM

Plays most like iM 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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. 692ms 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

Aim4.4
Positioning3.4
Utility2.4
Mechanics5.0
Opening Duels0.0
Win Impact6.1

Composite 3.7/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time687ms−29ms
first ⅓ avg 716ms → last ⅓ avg 687ms
Headshot accuracy12.9%+1.4%
first ⅓ avg 11.5% → last ⅓ avg 12.9%

Rolling 5-match average across the last 96 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–0 · inferno, 10 Feb →
29%Best headshot accuracy · 13–6 · dust2, 30 Jan →
406msFastest reaction time · 9–3 · nuke, 4 Mar →
13–0Biggest win · inferno, 10 Feb →

Across the last 96 tracked matches.

Highlights

4Longest win streak
L2Current streak
4–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 67% over 6mirageWeakest map · 42% over 31
MapGradePlayedRecordWin rateAvg rating
mirageC3113–1842%-0.02
infernoB2713–1448%0.02
nukeB168–850%-0.00
anubisS64–267%-0.04
train—42–250%-0.03
overpass—31–233%-0.04
dust2—32–167%-0.00
ancient—21–150%0.01
cache—21–150%-0.03
vertigo—10–10%-0.10
italy—11–0100%0.02

Across the last 96 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 31). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,779Lifetime kills
1.04K/D · Top 50% of tracked players
1,375Matches
41.8%Match win rate
29.0%Headshot %
16.0%Shot accuracy · Top 25% of tracked players
2,789MVPs
504Hours (in match)
1,370Bombs planted
242Bombs defused

Most-used weapons

Lifetime map wins

3,410dust2
1,568inferno
275nuke
208train
173italy
139lake
114cbble
89safehouse

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.

12.5%Headshot accuracy
32.1%Accuracy (enemy spotted)
30.5%Spray accuracy
72.4%Counter-strafing
7.8°Preaim
692msReaction time
30.3%T opening success
22.6%CT opening success
0.51Enemies flashed / flash
6.2%Flash assists
13.04HE damage / grenade
4.33Flashes / 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 12.4933% — below the 15% mark we flag

    Aim Training →
  2. 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 30.2784% — below the 40% mark we flag

Spend your practice time on Mirage

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

42% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass11–13-0.0314%16 Mar →
mirage1–13-0.077%16 Mar →
overpass13–6-0.0222%10 Mar →
mirage13–11-0.0116%10 Mar →
train13–80.0416%6 Dec →
inferno9–13-0.0315%13 Jul →
anubis13–4-0.028%29 Mar →
mirage13–40.0511%29 Mar →
inferno13–70.0815%25 Mar →
mirage11–13-0.0216%24 Mar →
inferno6–13-0.0210%19 Mar →
anubis13–8-0.019%18 Mar →
nuke3–80.0514%13 Mar →
dust213–60.0218%13 Mar →
mirage13–9-0.0110%12 Mar →
mirage9–13-0.005%4 Mar →
inferno14–16-0.055%4 Mar →
nuke9–3-0.0022%4 Mar →
nuke9–40.0317%3 Mar →
nuke2–9-0.219%3 Mar →
nuke6–90.0912%3 Mar →
nuke5–9-0.067%3 Mar →
nuke9–7-0.0421%3 Mar →
inferno2–9-0.0813%3 Mar →
inferno9–30.1313%3 Mar →
inferno8–80.0619%3 Mar →
mirage13–60.0010%3 Mar →
mirage11–13-0.059%3 Mar →
nuke3–9-0.0510%1 Mar →
nuke13–50.028%26 Feb →
inferno13–110.0214%26 Feb →
ancient13–7-0.0016%25 Feb →
mirage13–9-0.0521%25 Feb →
mirage5–13-0.049%25 Feb →
inferno13–30.0412%25 Feb →
anubis7–13-0.090%21 Feb →
anubis16–13-0.0417%21 Feb →
inferno8–130.0312%20 Feb →
inferno14–16-0.0120%20 Feb →
mirage11–13-0.013%20 Feb →
mirage13–40.0821%20 Feb →
mirage14–16-0.056%10 Feb →
inferno13–00.174%10 Feb →
mirage13–100.0615%10 Feb →
anubis13–70.0010%10 Feb →
inferno5–9-0.200%10 Feb →
inferno9–50.0815%9 Feb →
ancient6–130.0110%9 Feb →
train5–13-0.0511%9 Feb →
inferno12–12-0.0215%8 Feb →
nuke13–11-0.0412%5 Feb →
train13–7-0.033%4 Feb →
mirage7–130.0326%2 Feb →
mirage14–16-0.0313%1 Feb →
mirage13–40.065%1 Feb →
mirage2–13-0.077%1 Feb →
inferno13–16-0.0411%31 Jan →
inferno13–70.087%31 Jan →
inferno5–13-0.024%30 Jan →
dust213–6-0.0129%30 Jan →
train6–13-0.0510%29 Jan →
mirage13–10-0.0621%29 Jan →
inferno13–10.0312%29 Jan →
nuke9–130.0513%29 Jan →
inferno13–20.0812%29 Jan →
inferno13–30.064%29 Jan →
vertigo2–13-0.107%21 Jan →
inferno7–13-0.0621%21 Jan →
inferno13–40.089%20 Jan →
inferno13–50.1014%20 Jan →
inferno13–5-0.0113%20 Jan →
mirage13–9-0.0213%16 Jan →
anubis5–13-0.0714%16 Jan →
mirage13–7-0.0819%15 Jan →
inferno10–130.058%15 Jan →
inferno12–12-0.0115%14 Jan →
nuke13–30.036%12 Jan →
mirage3–130.0211%11 Jan →
mirage6–13-0.0316%10 Jan →
nuke2–130.0214%10 Jan →
italy13–90.029%8 Jan →
mirage0–13-0.0511%1 Jan →
mirage12–120.028%29 Dec →
mirage8–13-0.0218%27 Dec →
nuke13–100.0517%27 Dec →
dust26–13-0.0221%26 Dec →
mirage13–8-0.0212%25 Dec →
mirage11–13-0.0510%29 Feb →
overpass1–13-0.088%19 Feb →
cache5–16-0.072%22 Apr →
cache16–110.0114%20 Apr →
mirage16–13-0.049%16 Apr →
nuke15–15-0.008%15 Apr →
mirage15–150.0010%1 Jun →
nuke16–130.005%25 May →
mirage15–150.0012%25 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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