Brille-Baskeren

Brille-Baskeren — CS2 Stats

DK76561198077236362[U:1:116970634]Steam profile ↗✓ No bans

1,105Tracked matches52%Win rate2020Tracked since
CSDB Rating4.4 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,105 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,641 -2,642 16 Mar – 19 Jan · 35 days played
17,58122,389peak 22,38916 Mar19 Jan
22,389Peak Premier in tracked matches
60Days played since 2025-03-12

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

Share this profile

CSDB.GGBrille-BaskerenFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim45
Positioning46
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWTLLLWLWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.9pp headshot accuracy · −26ms reaction

Win rate 0pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 596ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 609ms

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 (+1.9 against its own average).

Aim4.5
Utility4.4
Positioning4.6
Opening Duels1.7
Clutch0.0

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

Twistzz

Plays most like Twistzz 81% 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. 591ms 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

Aim4.5
Positioning4.6
Utility4.4
Mechanics5.0
Opening Duels1.7
Win Impact5.6

Composite 4.4/10 (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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time600ms−37ms
first ⅓ avg 637ms → last ⅓ avg 600ms
Headshot accuracy15.9%+2.3%
first ⅓ avg 13.6% → last ⅓ avg 15.9%

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 · 13–3 · nuke, 29 Dec →
33%Best headshot accuracy · 13–10 · ancient, 11 Sept →
406msFastest reaction time · 10–13 · ancient, 29 Jun →
13–1Biggest win · nuke, 29 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 86% over 7dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS2315–865%-0.00
infernoC187–1139%-0.03
ancientD175–1229%-0.02
trainC104–640%-0.04
overpassA95–456%-0.01
dust2D81–713%-0.05
anubisS76–186%-0.01
mirageD62–433%-0.04
fachwerk—10–10%0.04
sanctum—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,372Matches
50%Win rate
0.93Avg K/D
65.0ADR
33%Headshot %

Clutches & streaks

17%1v1 clutch win
5%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo3757%0.8614.2
Nuke2462%0.9215.7
Ancient1741%0.6510.6
Inferno1527%0.7412.5
Anubis1338%0.7812.4
Mirage1030%0.7611.2
Train650%0.7210.8
Dust2540%0.517.6

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.

15.6%Headshot accuracy
29.9%Accuracy (enemy spotted)
34.3%Spray accuracy
72.7%Counter-strafing
11.8°Preaim
591msReaction time
33.4%T opening success
39.8%CT opening success
0.46Enemies flashed / flash
5.4%Flash assists
12.25HE damage / grenade
3.75Flashes / 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 0.4597 — below the 0.5 mark we flag

    Grenade Lineups →
  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 33.4058% — below the 40% mark we flag

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.

13% win rate across 8 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
train13–110.0011%29 Aug →
fachwerk12–120.0415%22 Aug →
ancient10–13-0.0331%29 Jun →
dust24–13-0.0622%29 Jun →
sanctum7–9-0.0127%25 Jun →
inferno13–11-0.0415%25 Jun →
nuke9–13-0.0316%19 Apr →
overpass13–30.0224%19 Apr →
nuke13–110.0119%17 Apr →
nuke13–50.0017%17 Apr →
mirage13–80.0120%29 Mar →
nuke13–110.029%23 Mar →
ancient4–13-0.105%22 Mar →
dust28–130.0214%23 Jan →
dust21–13-0.080%23 Jan →
overpass7–13-0.0516%19 Jan →
inferno16–14-0.0324%18 Jan →
overpass13–60.0119%8 Jan →
overpass13–9-0.0315%8 Jan →
inferno10–13-0.0127%8 Jan →
ancient13–7-0.047%7 Jan →
inferno13–10-0.0611%7 Jan →
nuke13–30.1424%29 Dec →
inferno13–16-0.0313%27 Dec →
nuke13–6-0.0110%27 Dec →
overpass11–130.0412%2 Dec →
inferno14–16-0.0115%29 Nov →
train7–13-0.0318%29 Nov →
nuke13–10.018%29 Nov →
inferno3–13-0.0722%27 Nov →
ancient14–16-0.058%25 Nov →
nuke13–90.0014%25 Nov →
ancient13–100.0117%24 Nov →
overpass13–6-0.016%23 Nov →
nuke13–100.063%17 Nov →
ancient13–10-0.029%17 Nov →
overpass6–13-0.083%12 Nov →
ancient12–16-0.0324%29 Sept →
ancient2–12-0.050%28 Sept →
train13–4-0.0530%14 Sept →
ancient13–10-0.0233%11 Sept →
overpass13–30.1223%9 Sept →
ancient7–130.0119%8 Sept →
nuke13–90.0412%2 Sept →
train4–13-0.0713%2 Sept →
ancient11–13-0.0524%24 Aug →
nuke13–11-0.0519%24 Aug →
nuke7–13-0.023%23 Aug →
nuke13–11-0.045%18 Aug →
train11–13-0.0215%31 Jul →
inferno11–13-0.0015%31 Jul →
inferno8–13-0.0121%26 Jul →
overpass4–13-0.1014%26 Jul →
inferno5–13-0.014%14 Jul →
inferno8–13-0.0611%9 Jul →
mirage4–13-0.0514%9 Jul →
dust23–13-0.066%7 Jul →
anubis13–8-0.0113%7 Jul →
mirage13–90.0114%6 Jul →
dust29–13-0.0513%30 Jun →
inferno13–90.0818%30 Jun →
mirage10–13-0.037%30 Jun →
inferno11–130.0224%24 Jun →
nuke9–130.0411%23 Jun →
inferno5–13-0.0411%23 Jun →
anubis13–5-0.0426%23 Jun →
train6–130.0015%23 Jun →
inferno13–7-0.0527%23 Jun →
nuke13–90.0218%22 Jun →
dust28–13-0.090%22 Jun →
ancient6–130.023%16 Jun →
nuke13–8-0.0519%16 Jun →
inferno9–13-0.0823%16 Jun →
nuke6–13-0.086%16 Jun →
anubis13–7-0.039%14 Jun →
nuke11–13-0.0413%12 Jun →
ancient4–13-0.0418%5 Jun →
anubis2–7-0.0213%5 Jun →
anubis13–90.0324%27 May →
inferno13–11-0.0827%26 May →
nuke13–20.0717%26 May →
anubis13–4-0.017%21 May →
inferno16–14-0.0116%21 May →
train7–13-0.0816%21 May →
mirage3–13-0.096%19 May →
ancient10–130.0213%26 Apr →
dust29–13-0.080%26 Apr →
nuke3–13-0.0823%26 Apr →
nuke6–13-0.0114%25 Apr →
train10–13-0.0615%26 Mar →
mirage5–13-0.0810%26 Mar →
train13–5-0.043%24 Mar →
ancient15–15-0.0114%17 Mar →
dust213–9-0.0121%17 Mar →
nuke8–13-0.0114%16 Mar →
train13–11-0.0717%16 Mar →
ancient13–10-0.017%16 Mar →
anubis13–90.018%15 Mar →
nuke13–70.0120%15 Mar →
ancient8–13-0.036%12 Mar →

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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