Brandy Randy

Brandy Randy — CS2 Stats

MQ76561198314639743[U:1:354374015]Steam profile ↗✓ No bans

529Tracked matches43%Win rate2024Tracked since
CSDB Rating2.3 LearningClutch Specialist
Premier CS Rating8,868Light Blue band · top ~60.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (3 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 54 days played since 15 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,868 -1,275 15 Feb15 Sept · 32 days played
8,51111,194peak 11,19415 Feb15 Sept
11,219Peak Premier in tracked matches
54Days played since 2026-02-15

Premier CS Rating

  • 2,326 below peak (11,194)
  • +271 over 90 days
  • Next: Blue band at 10,000 1,132 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGBrandy RandyPREMIER8,868 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim21
Positioning32
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY43516Last 10043%Win rateWLLWLWWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · +6ms 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

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 608ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 652ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 649ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+6 against its own average).

Aim2.1
Utility2.9
Positioning3.2
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable 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

NiKo

Plays most like NiKo 70% 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. 641ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.1
Positioning3.2
Utility2.9
Mechanics3.3
Opening Duels0.4
Win Impact2.8

Composite 2.3/10 (Learning), 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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time636ms−45ms
first ⅓ avg 681ms → last ⅓ avg 636ms
Headshot accuracy11.1%+0.9%
first ⅓ avg 10.1% → last ⅓ avg 11.1%

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 · 13–10 · ancient, 9 Apr
29%Best headshot accuracy · 13–10 · ancient, 9 Apr
484msFastest reaction time · 13–5 · mirage, 13 Aug
13–3Biggest win · cache, 2 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
86In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 71% over 7nukeWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
infernoC2291341%-0.07
cacheB22111150%-0.05
nukeD2161529%-0.05
mirageD1861233%-0.05
ancientS75271%-0.02
dust242250%-0.04
train21150%-0.01
overpass21150%-0.03
vertigo110100%-0.02
office110100%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
14%Win rate
0.48Avg K/D
46.7ADR
32%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.346.0
Cache20%0.6811.0
Mirage1100%0.829.0
Train10%0.183.0
Nuke10%0.306.0

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.

11.3%Headshot accuracy
28.3%Accuracy (enemy spotted)
30.7%Spray accuracy
64.9%Counter-strafing
12.9°Preaim
641msReaction time
32.9%T opening success
25.3%CT opening success
0.27Enemies flashed / flash
1.3%Flash assists
9.07HE damage / grenade
3.46Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8978° — above the 12° mark we flag

    Aim Training
  2. 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 11.2991% — below the 15% 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 0.2731 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0316%15 Sept
nuke2–13-0.0513%14 Sept
mirage9–13-0.0510%13 Sept
nuke13–9-0.055%13 Sept
cache8–13-0.1113%12 Sept
mirage13–11-0.0120%12 Sept
inferno13–8-0.0712%12 Sept
inferno2–13-0.013%7 Sept
nuke11–130.0110%7 Sept
nuke9–13-0.0515%3 Sept
cache13–3-0.078%2 Sept
mirage9–13-0.057%2 Sept
ancient8–13-0.056%2 Sept
mirage2–13-0.0714%1 Sept
mirage4–13-0.099%31 Aug
nuke13–11-0.047%28 Aug
inferno13–11-0.0713%28 Aug
mirage13–60.0518%25 Aug
inferno7–1-0.0513%25 Aug
cache3–13-0.039%22 Aug
mirage5–13-0.113%13 Aug
nuke10–13-0.0410%13 Aug
mirage6–13-0.0620%13 Aug
mirage13–5-0.0013%13 Aug
inferno5–13-0.0812%21 Jul
cache13–3-0.0512%20 Jul
vertigo13–10-0.0220%20 Jul
train7–13-0.079%20 Jul
cache13–60.0113%20 Jul
inferno8–13-0.107%18 Jul
inferno8–13-0.0113%18 Jul
cache6–13-0.056%17 Jul
train13–50.0611%17 Jul
mirage0–13-0.117%16 Jul
mirage7–13-0.0410%15 Jul
mirage13–6-0.0217%14 Jul
cache13–3-0.0214%14 Jul
ancient9–13-0.085%14 Jul
nuke13–11-0.053%10 Jul
inferno15–15-0.0413%9 Jul
cache13–7-0.0411%9 Jul
nuke7–13-0.0710%9 Jul
nuke10–13-0.094%8 Jul
cache4–13-0.0414%7 Jul
cache11–13-0.019%6 Jul
inferno13–11-0.0212%4 Jul
inferno13–11-0.0711%1 Jul
nuke14–16-0.079%28 Jun
cache13–7-0.0719%21 Jun
office13–5-0.052%21 Jun
overpass3–13-0.080%3 Jun
nuke11–13-0.094%12 May
mirage10–13-0.048%12 May
nuke9–13-0.0513%11 May
dust211–13-0.068%11 May
mirage13–9-0.0815%11 May
nuke9–13-0.065%10 May
dust213–9-0.123%10 May
inferno13–7-0.090%10 May
nuke10–13-0.037%5 May
cache7–13-0.0821%5 May
cache13–8-0.1011%5 May
cache11–13-0.067%4 May
cache13–4-0.010%4 May
cache0–6-0.080%3 May
cache13–7-0.0512%3 May
cache13–8-0.057%3 May
cache5–13-0.034%2 May
cache12–12-0.0515%2 May
cache13–9-0.0018%1 May
cache12–12-0.1014%1 May
inferno5–13-0.0617%21 Apr
nuke5–13-0.0816%21 Apr
mirage15–15-0.0110%20 Apr
dust210–13-0.089%14 Apr
nuke13–90.0019%14 Apr
inferno0–9-0.296%14 Apr
ancient13–100.1529%9 Apr
dust213–60.0915%9 Apr
inferno13–7-0.089%4 Apr
inferno4–13-0.123%8 Mar
nuke13–9-0.047%8 Mar
inferno13–4-0.022%8 Mar
inferno15–15-0.0513%6 Mar
ancient13–10-0.0514%6 Mar
nuke15–15-0.0814%4 Mar
inferno9–13-0.113%28 Feb
nuke0–7-0.034%28 Feb
overpass13–60.0325%26 Feb
mirage7–13-0.128%26 Feb
inferno10–13-0.068%25 Feb
ancient13–6-0.057%24 Feb
inferno8–13-0.055%21 Feb
inferno10–13-0.094%21 Feb
nuke13–4-0.055%20 Feb
ancient13–8-0.016%20 Feb
ancient16–14-0.065%17 Feb
mirage13–8-0.082%17 Feb
nuke4–13-0.058%17 Feb
mirage10–13-0.0714%15 Feb

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 →