Bralle

Bralle — CS2 Stats

SE76561198058873675[U:1:98607947]Steam profile ↗✓ No bans

818Tracked matches62%Win rate2020Tracked since
3,574Hours in CS50Hrs last 2 wks
CSDB Rating5.9 SolidSupport
FaceitLevel 10 · 1,108 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

−1199Faceit ELO · 2,307 → 1,108

Rating over time

2,307Highest Faceit ELO seen on CSDB
41Days played since 2026-08-05

Faceit ELO

  • 1,199 below peak (2,307)
  • Next: Level 6 at 1,201 — 93 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 5 first seen 2026-08-29
  • Level 4 first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches63——
Win rate48%——
K/D0.89——
Headshot %54%——

Measured 20 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 playerLevel 10 median
Headshot rate55.1%50.9%
Shot accuracy11.9%13.7%
Kill/death ratio1.001.09
Match win rate44.3%48.4%

Share this profile

CSDB.GGBralleFACEITLevel 10 · 1,108 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,307csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning51
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateLLLWWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −0.8pp headshot accuracy · +1ms reaction

Win rate up 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 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 550ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 550ms

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 (+1.3 against its own average).

Aim8.1
Utility5.1
Positioning5.1
Opening Duels1.7
Clutch3.2

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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 56% on T to 31% on CT — first contacts on the defending side are being lost.

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

Aim8.1
Positioning5.1
Utility5.1
Mechanics7.1
Opening Duels3.3
Win Impact9.0

Composite 5.9/10 (Solid), 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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time542ms−17ms
first ⅓ avg 559ms → last ⅓ avg 542ms
Headshot accuracy20.5%+1.3%
first ⅓ avg 19.2% → last ⅓ avg 20.5%

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

0.14Best match rating · 13–5 · ancient, 13 Oct →
43%Best headshot accuracy · 13–7 · cache, 1 Oct →
344msFastest reaction time · 10–13 · inferno, 5 Sept →
13–2Biggest win · cache, 4 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
13–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 75% over 8infernoWeakest map · 55% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA4325–1858%-0.00
infernoA2011–955%0.00
cacheS2014–670%-0.00
dust2S86–275%0.03
ancient—42–250%0.03
nuke—32–167%0.00
anubis—20–20%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (55% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,653Lifetime kills
1.00K/D
4,172Matches
44.3%Match win rate
55.1%Headshot % · Top 50% of Level 10 players
11.9%Shot accuracy
10,703MVPs
2,501Hours (in match)
3,167Bombs planted
1,430Bombs defused

Most-used weapons

AK-4765,840
AWP12,071
P2501,837
FAMAS1,334
MP71,034

Lifetime map wins

6,472dust2
6,100inferno
1,103nuke
835cbble
749train
472vertigo
59lake
54safehouse

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

Faceit stats

Combat

446Matches
59%Win rate
1.01Avg K/D
72.5ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
15Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage18054%1.0314.4
Inferno9062%0.9513.9
Dust25459%0.9113.4
Cache4470%1.0714.1
Ancient3060%1.0215.5
Overpass2277%1.1616.8
Nuke1450%1.0216.1
Anubis771%0.7912.3

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.

19.6%Headshot accuracy
34.7%Accuracy (enemy spotted)
43.2%Spray accuracy
82.0%Counter-strafing
9.2°Preaim
548msReaction time
55.7%T opening success
31.1%CT opening success
0.47Enemies flashed / flash
7.5%Flash assists
9.37HE damage / grenade
5.12Flashes / 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. 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 0.4698 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 31.0893% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0116%15 Oct →
mirage8–13-0.0419%14 Oct →
inferno7–13-0.0416%14 Oct →
ancient13–50.1425%13 Oct →
inferno13–30.0115%11 Oct →
cache16–140.0113%10 Oct →
mirage2–13-0.0115%10 Oct →
cache13–40.0833%7 Oct →
mirage13–11-0.0117%4 Oct →
cache13–20.1132%4 Oct →
cache15–15-0.0322%3 Oct →
anubis7–13-0.0321%3 Oct →
cache13–7-0.0343%1 Oct →
ancient14–16-0.0217%28 Sept →
mirage13–9-0.0521%27 Sept →
inferno13–110.0118%24 Sept →
mirage13–8-0.0519%24 Sept →
anubis8–130.0310%23 Sept →
mirage7–130.0315%23 Sept →
inferno4–130.0123%23 Sept →
mirage13–90.0318%22 Sept →
inferno13–11-0.0016%22 Sept →
mirage13–11-0.0420%15 Sept →
nuke13–9-0.0028%15 Sept →
mirage11–13-0.0127%13 Sept →
inferno9–13-0.0610%13 Sept →
inferno13–70.0327%13 Sept →
inferno13–60.0423%13 Sept →
cache13–90.0216%12 Sept →
mirage13–11-0.049%12 Sept →
mirage13–80.0420%9 Sept →
mirage7–130.0032%8 Sept →
nuke13–10-0.0424%8 Sept →
inferno13–40.0712%8 Sept →
dust213–90.0822%6 Sept →
mirage13–70.0817%6 Sept →
inferno13–110.0220%6 Sept →
mirage13–40.1221%6 Sept →
mirage13–6-0.0011%6 Sept →
mirage13–40.0527%6 Sept →
inferno10–130.0135%5 Sept →
mirage13–70.0416%5 Sept →
cache10–13-0.0719%4 Sept →
mirage11–13-0.0019%1 Sept →
cache13–5-0.0326%1 Sept →
inferno10–13-0.0313%1 Sept →
mirage13–10-0.008%1 Sept →
ancient13–60.0229%30 Aug →
mirage7–13-0.086%30 Aug →
cache13–60.0431%30 Aug →
mirage7–13-0.0011%30 Aug →
mirage13–7-0.0421%30 Aug →
cache13–7-0.0818%29 Aug →
inferno11–13-0.0118%27 Aug →
cache13–7-0.0611%27 Aug →
mirage13–3-0.0228%27 Aug →
mirage11–13-0.0028%27 Aug →
inferno13–100.0112%26 Aug →
cache8–13-0.0237%26 Aug →
mirage13–6-0.0313%24 Aug →
mirage13–60.0422%24 Aug →
ancient22–25-0.0212%23 Aug →
nuke17–190.0430%22 Aug →
mirage11–13-0.0117%22 Aug →
mirage10–13-0.0118%21 Aug →
cache13–11-0.0122%21 Aug →
inferno8–13-0.0118%21 Aug →
dust213–40.0213%21 Aug →
mirage13–60.0421%21 Aug →
dust213–40.0923%21 Aug →
dust210–130.0322%19 Aug →
mirage11–130.0117%19 Aug →
cache13–9-0.0012%17 Aug →
mirage11–13-0.0413%17 Aug →
mirage13–11-0.0125%17 Aug →
mirage13–11-0.0122%16 Aug →
cache13–5-0.0223%16 Aug →
inferno14–16-0.0118%16 Aug →
mirage13–3-0.0429%16 Aug →
dust213–8-0.0325%16 Aug →
mirage13–9-0.0313%16 Aug →
inferno16–140.0227%16 Aug →
mirage13–7-0.0214%16 Aug →
dust213–110.0215%15 Aug →
cache13–50.0617%15 Aug →
cache11–130.0114%12 Aug →
cache10–130.004%11 Aug →
mirage10–13-0.0623%11 Aug →
mirage16–120.0419%11 Aug →
dust213–110.0219%10 Aug →
inferno13–3-0.0322%10 Aug →
mirage7–130.0017%10 Aug →
mirage22–25-0.0015%9 Aug →
inferno13–70.0032%6 Aug →
dust213–16-0.0216%6 Aug →
cache9–13-0.0330%6 Aug →
cache13–70.0115%6 Aug →
mirage9–13-0.0212%6 Aug →
mirage9–130.0224%6 Aug →
mirage13–60.0525%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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