Braetski

Braetski — CS2 Stats

76561198026632691[U:1:66366963]Steam profile ↗✓ No bans

425Tracked matches34%Win rate2022Tracked since
CSDB Rating2.8 LearningSupport
Premier CS Rating3,832Grey band · top ~83.7% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (15 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.

Rating over time

Premier CS Rating: 3,832 -6,167 15 Jun – 16 Oct · 35 days played
3,5739,999peak 9,99915 Jun16 Oct
9,999Peak Premier in tracked matches
56Days played since 2026-06-15

Premier CS Rating

  • 6,167 below peak (9,999)
  • +16 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,168 to go
  • Reached: 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.GGBraetskiFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER3,832 · Grey bandcsdb.gg/stats

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Performance scores

Aim28
Positioning38
Utility49

0–100 skill scores via Leetify.

Recent form

COLD29–69–2Last 10029%Win rateLLLLLWLLLT

Last 10 vs previous 10: −50pp win rate · +0.01 avg rating · −2.2pp 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). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 561ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 594ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 584ms

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 (+2 against its own average).

Aim2.8
Utility4.9
Positioning3.8
Opening Duels0.0

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 62% 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. 624ms 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

Aim2.8
Positioning3.8
Utility4.9
Mechanics4.6
Opening Duels1.2
Win Impact0.0

Composite 2.8/10 (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-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time615ms−80ms
first ⅓ avg 695ms → last ⅓ avg 615ms
Headshot accuracy10.0%+0.1%
first ⅓ avg 9.9% → 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

0.07Best match rating · 2–13 · anubis, 4 Aug →
50%Best headshot accuracy · 0–13 · inferno, 3 Oct →
375msFastest reaction time · 2–13 · anubis, 7 Oct →
13–1Biggest win · nuke, 25 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
10–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 44% over 16cacheWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeD216–1529%-0.06
infernoD216–1529%-0.07
anubisC167–944%-0.04
mirageC166–1038%-0.05
cacheD111–109%-0.08
dust2D72–529%-0.07
ancientD61–517%-0.07
office—10–10%-0.05
overpass—10–10%-0.04

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.3%Headshot accuracy
28.0%Accuracy (enemy spotted)
31.9%Spray accuracy
70.5%Counter-strafing
11.9°Preaim
624msReaction time
39.7%T opening success
26.6%CT opening success
0.51Enemies flashed / flash
6.5%Flash assists
8.31HE damage / grenade
6.07Flashes / 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 10.2568% — 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 39.6881% — below the 40% mark we flag

Spend your practice time on Cache

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.043%16 Oct →
nuke10–13-0.0421%13 Oct →
anubis3–13-0.068%13 Oct →
nuke11–13-0.0413%12 Oct →
anubis2–13-0.100%7 Oct →
inferno13–7-0.079%7 Oct →
nuke8–13-0.1017%5 Oct →
anubis11–13-0.027%5 Oct →
dust28–13-0.044%4 Oct →
nuke15–15-0.037%4 Oct →
anubis8–13-0.070%3 Oct →
mirage13–60.015%3 Oct →
inferno0–13-0.0650%3 Oct →
mirage13–11-0.210%3 Oct →
mirage4–13-0.016%3 Oct →
dust216–13-0.083%2 Oct →
inferno13–9-0.0515%2 Oct →
mirage13–90.0415%2 Oct →
anubis13–11-0.086%30 Sept →
mirage7–13-0.1110%28 Sept →
nuke5–13-0.058%28 Sept →
inferno11–13-0.077%27 Sept →
inferno13–6-0.0333%25 Sept →
dust23–13-0.1433%25 Sept →
nuke13–10.018%25 Sept →
inferno6–13-0.087%23 Sept →
mirage4–13-0.083%16 Sept →
anubis13–6-0.034%15 Sept →
ancient9–13-0.103%14 Sept →
nuke11–13-0.1012%11 Sept →
dust23–13-0.080%11 Sept →
cache10–13-0.069%9 Sept →
dust213–16-0.054%5 Sept →
mirage2–130.0516%5 Sept →
dust29–13-0.0211%5 Sept →
cache7–13-0.0515%5 Sept →
nuke8–13-0.0820%5 Sept →
nuke9–13-0.0715%4 Sept →
ancient11–13-0.0616%4 Sept →
inferno10–13-0.0415%4 Sept →
anubis12–12-0.036%2 Sept →
cache7–13-0.0111%1 Sept →
inferno3–5-0.120%1 Sept →
cache8–13-0.127%31 Aug →
mirage3–7-0.038%31 Aug →
ancient2–13-0.089%30 Aug →
nuke6–13-0.126%30 Aug →
mirage13–11-0.038%26 Aug →
mirage2–13-0.0623%26 Aug →
inferno13–11-0.066%25 Aug →
inferno9–7-0.175%25 Aug →
nuke13–2-0.0512%25 Aug →
inferno3–13-0.085%24 Aug →
cache7–13-0.138%23 Aug →
inferno9–13-0.0715%21 Aug →
anubis13–50.0117%21 Aug →
inferno9–13-0.127%19 Aug →
inferno9–13-0.0115%19 Aug →
cache4–13-0.104%18 Aug →
nuke13–16-0.076%15 Aug →
anubis13–11-0.0519%15 Aug →
nuke13–7-0.024%15 Aug →
inferno3–13-0.1017%14 Aug →
inferno5–13-0.1014%11 Aug →
anubis6–13-0.0417%11 Aug →
anubis2–130.0714%4 Aug →
inferno10–13-0.0511%1 Aug →
nuke10–3-0.038%29 Jul →
ancient2–13-0.095%29 Jul →
nuke16–12-0.077%27 Jul →
mirage3–13-0.0515%24 Jul →
anubis6–13-0.044%24 Jul →
anubis16–14-0.087%23 Jul →
ancient7–13-0.027%20 Jul →
cache1–13-0.106%20 Jul →
cache13–4-0.1014%19 Jul →
anubis13–6-0.010%19 Jul →
mirage13–9-0.0411%19 Jul →
cache11–13-0.082%16 Jul →
nuke8–13-0.0813%14 Jul →
cache2–13-0.095%14 Jul →
mirage13–8-0.0019%12 Jul →
mirage7–13-0.0613%11 Jul →
cache9–13-0.096%7 Jul →
office10–13-0.0517%7 Jul →
anubis16–14-0.090%3 Jul →
inferno10–13-0.080%1 Jul →
inferno7–13-0.0517%30 Jun →
nuke14–16-0.0818%29 Jun →
overpass4–13-0.0411%29 Jun →
mirage4–13-0.0933%29 Jun →
nuke9–13-0.054%28 Jun →
inferno12–9-0.0712%28 Jun →
anubis6–13-0.037%26 Jun →
nuke13–11-0.067%26 Jun →
inferno8–13-0.0314%26 Jun →
dust213–11-0.0715%25 Jun →
nuke10–13-0.0810%24 Jun →
ancient13–9-0.0411%15 Jun →
mirage11–13-0.079%15 Jun →

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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