Broon

Broon — CS2 Stats

BF76561199128389321[U:1:1168123593]Steam profile ↗✓ No bans

4,387Tracked matches64%Win rate2022Tracked since
3,898Hours in CS50Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating18,004Purple band · top ~16.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+369Premier CS Rating · 17,635 → 18,004

Rating over time

Premier CS Rating: 18,004 +5,780 30 Sept – 26 Oct · 25 days played
12,22418,004peak 18,00430 Sept26 Oct
18,196Peak Premier in tracked matches
25Days played since 2026-09-30

Premier CS Rating

  • At peak — 18,004
  • +5,780 over 30 days · improving
  • Next: Pink band at 20,000 — 1,996 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.8%44.4%46.9%10.1% short
Shot accuracy2.8%11.9%13.0%10.2% short
Kill/death ratio0.951.031.080.13 short
Match win rate55.8%45.2%46.7%above

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

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

Share this profile

CSDB.GGBroonPREMIER18,004 · Purple bandcsdb.gg/stats

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Performance scores

Aim39
Positioning41
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY62–35–3Last 10062%Win rateWTLWLWWLWL

Last 10 vs previous 10: −50pp win rate · −0.06 avg rating · −1.2pp headshot accuracy · +20ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 536ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 583ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

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: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim3.9
Utility6.7
Positioning4.1
Opening Duels0.0
Clutch3.6

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

ZywOo

Plays most like ZywOo 59% 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. 582ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.9
Positioning4.1
Utility6.7
Mechanics3.9
Opening Duels1.7
Win Impact9.8

Composite 4.7/10 (Developing), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time577ms+14ms
first ⅓ avg 563ms → last ⅓ avg 577ms
Headshot accuracy10.0%−1.4%
first ⅓ avg 11.5% → last ⅓ avg 10.0%

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

0.13Best match rating · 13–9 · nuke, 30 Sept →
23%Best headshot accuracy · 13–4 · inferno, 15 Oct →
406msFastest reaction time · 7–13 · inferno, 24 Oct →
13–0Biggest win · nuke, 24 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak
12–2In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 83% over 12ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2213–959%-0.01
nukeB2110–1148%-0.01
infernoA159–660%0.01
mirageS1411–379%-0.00
anubisS1210–283%0.00
cacheS86–275%-0.00
ancientC83–538%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,777Lifetime kills
0.95K/D
3,859Matches
55.8%Match win rate · Top 5% of Purple band
36.8%Headshot %
2.8%Shot accuracy
9,270MVPs
1,953Hours (in match)
7,820Bombs planted
1,212Bombs defused

Most-used weapons

AK-4725,169
AWP6,356
MP94,315
MAC-103,784
HE Grenade1,090

Lifetime map wins

9,286inferno
6,847dust2
5,619nuke
3,014vertigo
339train
156office
9cbble

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

Faceit stats

Combat

843Matches
49%Win rate
1.01Avg K/D
78.8ADR
30%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage15950%1.1114.7
Anubis8147%0.9413.3
Inferno7046%1.0716.7
Dust26448%1.0814.7
Vertigo5450%1.0716.5
Ancient5058%1.0415.0
Nuke3566%1.1915.3
Overpass1850%1.1315.1

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.

10.4%Headshot accuracy
31.2%Accuracy (enemy spotted)
32.5%Spray accuracy
67.5%Counter-strafing
10.6°Preaim
582msReaction time
43.6%T opening success
29.7%CT opening success
0.57Enemies flashed / flash
4.4%Flash assists
9.54HE damage / grenade
11.42Flashes / 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 10.3642% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.6832% — below the 40% mark we flag

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0211%26 Oct →
dust215–150.0513%25 Oct →
inferno8–13-0.0113%25 Oct →
inferno13–9-0.0613%24 Oct →
inferno7–13-0.0511%24 Oct →
mirage13–10-0.0617%24 Oct →
nuke13–00.044%24 Oct →
dust29–13-0.045%24 Oct →
anubis13–40.035%24 Oct →
nuke10–13-0.079%24 Oct →
anubis10–40.1014%24 Oct →
inferno9–20.1211%24 Oct →
nuke13–70.0316%24 Oct →
anubis13–60.0510%23 Oct →
anubis13–7-0.0311%23 Oct →
inferno13–110.108%23 Oct →
nuke13–60.0414%23 Oct →
cache13–110.0111%23 Oct →
dust216–14-0.0112%23 Oct →
dust213–80.016%23 Oct →
dust216–140.0213%22 Oct →
nuke8–13-0.059%22 Oct →
ancient10–130.0110%22 Oct →
cache10–13-0.086%22 Oct →
inferno13–7-0.0314%22 Oct →
nuke15–150.0313%21 Oct →
dust23–13-0.080%21 Oct →
cache8–13-0.0510%21 Oct →
anubis3–00.000%21 Oct →
dust25–13-0.043%21 Oct →
dust216–14-0.029%20 Oct →
dust24–13-0.107%20 Oct →
mirage13–70.0721%20 Oct →
nuke10–13-0.047%20 Oct →
ancient13–50.0410%20 Oct →
nuke7–13-0.0316%19 Oct →
anubis12–16-0.047%17 Oct →
inferno9–13-0.004%17 Oct →
mirage9–13-0.028%17 Oct →
nuke13–11-0.0517%17 Oct →
nuke11–5-0.019%17 Oct →
cache16–13-0.038%17 Oct →
anubis13–50.067%17 Oct →
ancient7–13-0.019%16 Oct →
anubis13–7-0.0413%16 Oct →
dust213–8-0.025%16 Oct →
dust215–15-0.0717%16 Oct →
mirage13–100.067%16 Oct →
anubis8–13-0.0818%16 Oct →
dust29–13-0.0413%16 Oct →
ancient16–130.0113%15 Oct →
mirage4–13-0.092%15 Oct →
dust213–50.079%15 Oct →
inferno13–4-0.0023%15 Oct →
cache13–60.0023%15 Oct →
nuke3–13-0.0512%15 Oct →
inferno13–00.0411%15 Oct →
dust211–13-0.009%15 Oct →
nuke0–13-0.086%14 Oct →
mirage16–12-0.035%14 Oct →
mirage13–3-0.0211%14 Oct →
anubis16–140.0216%14 Oct →
anubis13–8-0.017%13 Oct →
nuke13–70.016%13 Oct →
nuke13–110.017%12 Oct →
cache13–70.1211%12 Oct →
ancient13–90.039%12 Oct →
dust213–110.0310%12 Oct →
anubis13–10-0.048%12 Oct →
dust213–60.0319%11 Oct →
mirage13–9-0.0314%11 Oct →
nuke9–13-0.106%11 Oct →
dust213–9-0.068%11 Oct →
inferno11–130.1215%9 Oct →
nuke1–13-0.0615%8 Oct →
mirage13–50.088%7 Oct →
cache16–140.0111%7 Oct →
ancient7–130.019%7 Oct →
dust213–50.0114%7 Oct →
nuke13–90.048%7 Oct →
dust26–130.0015%7 Oct →
cache16–14-0.0111%7 Oct →
inferno13–40.0711%6 Oct →
nuke7–13-0.0411%6 Oct →
mirage6–13-0.017%6 Oct →
mirage13–110.0610%6 Oct →
nuke6–13-0.0216%5 Oct →
inferno12–16-0.0712%4 Oct →
dust213–80.0210%3 Oct →
ancient7–13-0.097%3 Oct →
inferno13–100.0822%3 Oct →
mirage13–8-0.0413%3 Oct →
dust213–10-0.027%2 Oct →
ancient10–13-0.0211%2 Oct →
dust213–50.0010%1 Oct →
mirage11–4-0.0310%1 Oct →
mirage13–6-0.016%1 Oct →
inferno13–9-0.0414%30 Sept →
inferno9–13-0.0416%30 Sept →
nuke13–90.1313%30 Sept →

Match data via Leetify.

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.