Buur

Buur — CS2 Stats

DK76561198795576264[U:1:835310536]Steam profile ↗✓ No bans

1,587Tracked matches37%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

+29Tracked matches · now 1,587
0.0ppWin rate · 36.7% → 36.7%

Rating over time

61Days played since 2024-12-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGBuurFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.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

Aim95
Positioning54
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLLWWWLWLWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +2.3pp headshot accuracy · +15ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 32%
  • Avg reaction 469ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 479ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 472ms

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 (+0.9 against its own average).

Aim9.5
Utility5.8
Positioning5.4
Opening Duels5.1
Clutch3.4

Sharp aimer

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

device

Plays most like device 87% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Strengths

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 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.

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

Aim9.5
Positioning5.4
Utility5.8
Mechanics7.1
Opening Duels4.9
Win Impact0.6

Composite 6.4/10 (Solid), 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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time481ms−144ms
first ⅓ avg 625ms → last ⅓ avg 481ms
Headshot accuracy26.9%−3.1%
first ⅓ avg 30.0% → last ⅓ avg 26.9%

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

0.16Best match rating · 13–2 · overpass, 25 May →
48%Best headshot accuracy · 13–9 · train, 13 Jan →
344msFastest reaction time · 8–13 · nuke, 5 Sept →
13–1Biggest win · nuke, 12 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

trainBest map · 71% over 7mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
cacheA2313–1057%0.03
mirageD154–1127%0.02
infernoC146–843%0.03
dust2C135–838%-0.01
nukeB126–650%0.04
trainS75–271%0.06
anubisC52–340%0.03
overpassA53–260%0.05
ancient—42–250%-0.01
vertigo—21–150%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,234Matches
55%Win rate
1.11Avg K/D
82.7ADR
57%Headshot %

Clutches & streaks

37%1v1 clutch win
27%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage13347%1.1516.9
Anubis9058%1.2017.7
Nuke8164%1.3618.0
Dust26341%0.9416.0
Ancient5739%0.9314.0
Inferno4450%1.1817.8
Vertigo4163%1.1815.6
Cache2157%1.2215.9

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.

27.5%Headshot accuracy
39.9%Accuracy (enemy spotted)
44.0%Spray accuracy
82.0%Counter-strafing
8.0°Preaim
479msReaction time
48.4%T opening success
50.7%CT opening success
0.64Enemies flashed / flash
8.4%Flash assists
8.19HE damage / grenade
9.97Flashes / match

Recommended for you

Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0735%20 Oct →
dust27–130.0226%20 Oct →
cache13–70.0738%8 Oct →
mirage13–11-0.0132%4 Oct →
vertigo13–40.0530%2 Oct →
mirage8–13-0.0214%30 Sept →
inferno16–140.1025%25 Sept →
anubis8–130.0113%8 Sept →
dust216–14-0.0135%8 Sept →
inferno13–16-0.0125%6 Sept →
mirage13–50.0625%5 Sept →
nuke7–13-0.0033%5 Sept →
nuke8–13-0.0723%5 Sept →
inferno11–13-0.0129%4 Sept →
dust29–13-0.0125%31 Aug →
mirage9–130.0226%31 Aug →
dust25–13-0.0521%29 Aug →
dust25–13-0.0715%25 Aug →
nuke14–160.0228%22 Aug →
inferno13–160.0324%16 Aug →
nuke13–10.1036%12 Aug →
ancient13–5-0.0128%12 Aug →
inferno16–12-0.0145%11 Aug →
anubis10–130.0024%10 Aug →
dust26–13-0.0215%9 Aug →
cache4–130.0432%7 Aug →
mirage9–130.0634%7 Aug →
cache13–60.1429%7 Aug →
inferno13–100.0332%7 Aug →
mirage9–13-0.0622%6 Aug →
mirage8–130.0240%3 Aug →
inferno13–10-0.027%26 Jul →
dust213–90.0221%25 Jul →
dust27–13-0.0423%19 Jul →
mirage11–13-0.0516%18 Jul →
cache13–40.0627%18 Jul →
dust213–40.0524%18 Jul →
inferno6–13-0.0011%18 Jul →
cache13–50.0639%11 Jul →
mirage5–13-0.0417%11 Jul →
nuke3–13-0.0419%9 Jul →
mirage5–130.0530%5 Jul →
dust213–110.0319%30 Jun →
dust213–110.0228%26 Jun →
inferno8–130.0528%24 Jun →
mirage14–160.0037%22 Jun →
dust26–130.0221%21 Jun →
mirage7–130.0223%21 Jun →
mirage13–90.0021%20 Jun →
ancient14–16-0.0223%14 Jun →
inferno8–130.0120%12 Jun →
overpass13–80.0332%6 Jun →
overpass13–20.1623%25 May →
cache12–12-0.0913%25 May →
cache10–130.0733%25 May →
cache13–8-0.0138%25 May →
cache13–20.1036%25 May →
cache13–10-0.0225%23 May →
cache10–13-0.0521%23 May →
cache13–20.0942%23 May →
cache13–40.0746%23 May →
mirage11–130.0028%22 May →
nuke13–40.1429%19 May →
inferno10–130.0630%18 May →
cache16–130.0126%13 May →
cache7–130.0333%10 May →
cache5–130.0136%10 May →
cache11–130.0433%10 May →
nuke13–11-0.0021%2 May →
cache10–13-0.0127%1 May →
cache13–7-0.0523%1 May →
cache13–10-0.0223%30 Apr →
cache12–12-0.0016%30 Apr →
cache13–30.0725%29 Apr →
cache7–130.0222%29 Apr →
ancient13–100.0519%1 Feb →
inferno13–60.0736%1 Feb →
anubis4–13-0.0038%31 Jan →
nuke9–130.1023%31 Jan →
nuke13–10.0045%30 Jan →
nuke13–8-0.0244%30 Jan →
train13–9-0.0148%13 Jan →
train13–60.0837%13 Jan →
overpass13–80.0623%22 Dec →
nuke10–130.1226%22 Dec →
train13–10.0829%22 Dec →
train5–130.0017%22 Dec →
inferno8–130.0137%18 Dec →
nuke13–40.1031%17 Dec →
overpass1–8-0.0643%17 Dec →
mirage13–50.1530%17 Dec →
train13–40.0740%17 Dec →
vertigo9–130.0122%17 Dec →
overpass9–130.0531%11 Dec →
inferno13–80.0845%9 Dec →
train10–130.0834%9 Dec →
ancient2–13-0.0914%8 Dec →
anubis13–30.0431%8 Dec →
anubis13–40.1126%6 Dec →
train13–80.1028%5 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
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.