Broda

Broda — CS2 Stats

SE76561199347111678[U:1:1386845950]Steam profile ↗✓ No bans

3,565Tracked matches47%Win rate2022Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating16,314Purple band · top ~23.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,314 -1,347 30 Aug – 28 Oct · 20 days played
13,53318,428peak 18,42830 Aug28 Oct
18,942Peak Premier in tracked matches
17Days played since 2026-08-30

Premier CS Rating

  • 2,114 below peak (18,428)
  • Next: Pink band at 20,000 — 3,686 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGBrodaPREMIER16,314 · Purple bandcsdb.gg/stats

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Performance scores

Aim40
Positioning50
Utility47

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateWWLLLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · −31ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 625ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 599ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 615ms

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).

Aim4.0
Utility4.7
Positioning5.0
Opening Duels2.2
Clutch4.6

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

ZywOo

Plays most like ZywOo 74% 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. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim4.0
Positioning5.0
Utility4.7
Mechanics2.4
Opening Duels3.1
Win Impact3.9

Composite 4.0/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time609ms−14ms
first ⅓ avg 623ms → last ⅓ avg 609ms
Headshot accuracy13.8%−0.8%
first ⅓ avg 14.7% → last ⅓ avg 13.8%

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 · 13–4 · cache, 21 Oct →
37%Best headshot accuracy · 13–2 · inferno, 21 Oct →
375msFastest reaction time · 8–13 · ancient, 22 Oct →
13–1Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 83% over 12dust2Weakest map · 12% over 17
MapGradePlayedRecordWin rateAvg rating
cacheA1911–858%0.03
dust2D172–1512%-0.01
mirageD163–1319%-0.01
infernoA159–660%0.01
ancientS1210–283%0.01
nukeS128–467%0.01
anubisS97–278%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (12% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
24%Win rate
0.80Avg K/D
72.3ADR
34%Headshot %

Clutches & streaks

43%1v1 clutch win
27%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage933%0.8112.2
Nuke520%0.8115.0
Inferno20%0.8817.5
Ancient10%0.506.0

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.

14.5%Headshot accuracy
32.4%Accuracy (enemy spotted)
37.2%Spray accuracy
60.8%Counter-strafing
11.2°Preaim
609msReaction time
44.3%T opening success
40.3%CT opening success
0.64Enemies flashed / flash
9.6%Flash assists
9.14HE damage / grenade
2.52Flashes / 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 14.4874% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5193 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

12% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0213%28 Oct →
ancient13–90.0317%28 Oct →
cache10–130.0514%28 Oct →
mirage11–130.0811%28 Oct →
inferno10–13-0.0620%28 Oct →
inferno9–130.1019%28 Oct →
cache3–13-0.047%28 Oct →
dust210–130.0014%27 Oct →
mirage13–11-0.0514%27 Oct →
dust213–16-0.0116%27 Oct →
nuke16–13-0.0225%27 Oct →
dust29–13-0.0113%27 Oct →
dust28–13-0.0313%26 Oct →
inferno13–110.0219%26 Oct →
anubis13–60.0620%26 Oct →
nuke7–130.0110%26 Oct →
mirage4–130.0717%26 Oct →
cache7–00.0613%26 Oct →
inferno13–30.0611%26 Oct →
dust214–16-0.0320%25 Oct →
anubis13–20.087%25 Oct →
mirage8–13-0.017%25 Oct →
inferno13–110.0617%25 Oct →
cache5–13-0.018%25 Oct →
dust213–10-0.0019%25 Oct →
ancient16–14-0.0113%25 Oct →
ancient7–13-0.0511%25 Oct →
inferno10–13-0.0115%25 Oct →
ancient13–80.029%25 Oct →
ancient13–60.0611%25 Oct →
ancient13–6-0.068%25 Oct →
cache13–100.0217%24 Oct →
nuke13–50.0211%24 Oct →
anubis13–100.0210%24 Oct →
dust29–13-0.0122%24 Oct →
dust210–13-0.0413%24 Oct →
anubis10–13-0.047%23 Oct →
mirage7–130.0323%23 Oct →
cache13–60.0320%23 Oct →
dust27–13-0.0322%23 Oct →
anubis9–130.0412%23 Oct →
dust211–130.0815%23 Oct →
mirage11–13-0.0422%22 Oct →
cache13–10-0.0015%22 Oct →
ancient8–13-0.0211%22 Oct →
anubis13–90.029%22 Oct →
cache13–110.064%22 Oct →
nuke13–70.1320%22 Oct →
inferno13–20.0237%21 Oct →
mirage8–13-0.0227%21 Oct →
inferno13–6-0.048%21 Oct →
inferno3–13-0.0613%21 Oct →
cache13–40.1327%21 Oct →
cache9–130.0316%20 Oct →
cache6–13-0.0316%19 Oct →
dust29–130.0412%18 Oct →
dust23–13-0.1212%18 Oct →
cache13–80.0116%18 Oct →
nuke8–13-0.057%18 Oct →
anubis13–11-0.0113%18 Oct →
ancient13–70.0625%18 Oct →
mirage6–130.0316%18 Oct →
dust215–150.0312%18 Oct →
mirage8–130.0515%18 Oct →
cache11–13-0.0111%18 Oct →
mirage8–13-0.0416%18 Oct →
mirage10–13-0.0614%18 Oct →
ancient13–110.029%17 Oct →
cache13–40.1221%17 Oct →
anubis13–20.033%17 Oct →
inferno8–13-0.0111%17 Oct →
nuke13–100.0014%17 Oct →
nuke13–30.0616%17 Oct →
ancient13–110.0312%17 Oct →
cache16–130.0312%17 Oct →
inferno13–100.0512%17 Oct →
nuke13–100.029%17 Oct →
dust211–130.0223%17 Oct →
ancient13–5-0.0115%17 Oct →
nuke13–4-0.0116%17 Oct →
ancient13–40.007%17 Oct →
inferno9–130.0124%16 Oct →
cache15–150.0521%16 Oct →
inferno13–1-0.0020%16 Oct →
inferno13–100.0318%15 Oct →
nuke7–130.0320%14 Oct →
mirage13–8-0.0213%14 Oct →
nuke13–60.0316%14 Oct →
mirage11–13-0.0311%14 Oct →
inferno13–11-0.0413%14 Oct →
cache13–7-0.0214%14 Oct →
dust27–13-0.0320%13 Oct →
mirage9–13-0.0123%13 Oct →
nuke2–13-0.113%13 Oct →
mirage5–13-0.0623%13 Oct →
cache13–80.0413%12 Oct →
anubis13–40.019%12 Oct →
cache8–13-0.0320%12 Oct →
mirage13–40.0114%12 Oct →
dust24–130.019%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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