MrBuene

MrBuene — CS2 Stats

76561198002552418[U:1:42286690]Steam profile ↗✓ No bans

714Tracked matches57%Win rate2020Tracked since
CSDB Rating5.3 DevelopingAll-Rounder
CSDB Leaderboard#34935 of 242475 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 5 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 23,558 +5,677 5 Dec – 18 Jun · 23 days played
16,95824,314peak 24,3145 Dec18 Jun
24,414Peak Premier in tracked matches
36Days played since 2025-12-05

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

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CSDB.GGMrBueneFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim40
Positioning61
Utility57

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLWLWLLLLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +5.5pp headshot accuracy · +23ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 544ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • 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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.0
Utility5.7
Positioning6.1
Opening Duels4.9

Effective flashesLimited 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

m0NESY

Plays most like m0NESY 61% 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

Strengths

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 681ms 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

Aim4.0
Positioning6.1
Utility5.7
Mechanics6.3
Opening Duels3.9
Win Impact7.2

Composite 5.3/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time663ms+7ms
first ⅓ avg 656ms → last ⅓ avg 663ms
Headshot accuracy15.4%−3.6%
first ⅓ avg 19.0% → last ⅓ avg 15.4%

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 · 13–8 · nuke, 6 Dec →
36%Best headshot accuracy · 13–7 · inferno, 18 Dec →
414msFastest reaction time · 1–13 · inferno, 13 Jun →
13–1Biggest win · nuke, 24 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 68% over 22infernoWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC249–1538%-0.03
nukeS2215–768%-0.00
dust2C188–1044%-0.01
overpassA159–660%-0.02
mirageB105–550%-0.03
trainC73–443%-0.02
vertigo—20–20%-0.02
cache—11–0100%0.00
anubis—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,323Matches
50%Win rate
1.05Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2367%1.1214.7
Anubis30%0.8613.3
Nuke333%0.8116.0
Inferno333%0.7115.0
Ancient20%1.1725.5
Overpass20%0.6411.0
Vertigo20%0.5410.5
Mirage10%0.274.0

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.

16.3%Headshot accuracy
29.2%Accuracy (enemy spotted)
31.2%Spray accuracy
78.4%Counter-strafing
11.1°Preaim
681msReaction time
41.8%T opening success
49.8%CT opening success
0.85Enemies flashed / flash
10.4%Flash assists
11.19HE damage / grenade
4.92Flashes / match

Recommended for you

Spend your practice time on Inferno

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

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0821%12 Jul →
dust213–50.0024%12 Jul →
inferno7–13-0.0310%18 Jun →
mirage16–14-0.0117%18 Jun →
mirage0–90.000%18 Jun →
dust211–130.0422%18 Jun →
inferno9–13-0.0626%17 Jun →
dust25–13-0.0419%17 Jun →
mirage2–13-0.0521%16 Jun →
nuke13–50.0320%16 Jun →
mirage10–13-0.074%15 Jun →
inferno8–13-0.0517%15 Jun →
overpass13–7-0.0311%15 Jun →
nuke16–13-0.0413%13 Jun →
nuke13–9-0.0717%13 Jun →
inferno1–13-0.100%13 Jun →
dust213–7-0.028%13 Jun →
dust216–14-0.0219%10 Jun →
nuke11–130.0020%10 Jun →
dust211–13-0.0314%9 May →
inferno11–13-0.0411%9 May →
mirage13–5-0.0418%1 May →
cache13–30.0011%1 May →
dust213–40.0023%27 Mar →
nuke13–7-0.0620%27 Mar →
nuke13–50.0120%3 Feb →
dust213–5-0.0417%3 Feb →
mirage13–3-0.0016%26 Jan →
dust26–00.0110%26 Jan →
overpass13–9-0.0217%26 Jan →
dust27–130.0113%24 Jan →
inferno10–13-0.0517%24 Jan →
nuke13–10.0712%24 Jan →
inferno8–13-0.0324%20 Jan →
vertigo12–12-0.0210%20 Jan →
overpass13–30.028%18 Jan →
inferno10–13-0.0714%18 Jan →
overpass8–13-0.0523%18 Jan →
anubis4–13-0.0924%17 Jan →
overpass16–140.0114%17 Jan →
train7–13-0.0122%17 Jan →
train3–13-0.0713%16 Jan →
dust24–13-0.0218%16 Jan →
inferno13–30.016%14 Jan →
nuke13–3-0.0015%14 Jan →
mirage13–10-0.0521%9 Jan →
overpass13–70.0723%9 Jan →
nuke13–50.0029%9 Jan →
inferno8–13-0.0513%9 Jan →
mirage6–130.0223%8 Jan →
inferno11–130.019%7 Jan →
nuke4–13-0.0711%7 Jan →
dust28–13-0.0211%7 Jan →
nuke13–70.0515%7 Jan →
nuke10–13-0.0315%6 Jan →
inferno16–14-0.0419%6 Jan →
vertigo5–13-0.0215%5 Jan →
nuke10–13-0.0222%5 Jan →
train19–150.0513%5 Jan →
inferno13–90.039%5 Jan →
inferno7–13-0.017%5 Jan →
overpass13–9-0.0522%4 Jan →
dust24–13-0.089%30 Dec →
overpass13–7-0.0310%30 Dec →
inferno6–13-0.065%30 Dec →
inferno11–13-0.0217%23 Dec →
overpass9–130.0117%23 Dec →
inferno13–7-0.0436%18 Dec →
nuke10–13-0.0524%17 Dec →
dust23–13-0.0416%17 Dec →
nuke13–100.0426%17 Dec →
overpass16–14-0.0615%17 Dec →
nuke13–9-0.0221%15 Dec →
inferno13–30.0520%15 Dec →
train6–13-0.0810%15 Dec →
inferno13–9-0.0013%14 Dec →
nuke13–90.0320%14 Dec →
overpass9–13-0.0318%13 Dec →
inferno13–11-0.0818%13 Dec →
nuke16–13-0.0429%13 Dec →
nuke11–13-0.0015%10 Dec →
train8–2-0.0323%10 Dec →
inferno13–8-0.0120%10 Dec →
dust27–13-0.014%10 Dec →
mirage8–13-0.0225%10 Dec →
nuke11–13-0.0025%8 Dec →
dust213–40.028%8 Dec →
train14–16-0.0215%8 Dec →
overpass9–13-0.0021%7 Dec →
mirage13–10-0.047%7 Dec →
nuke13–60.0114%7 Dec →
dust211–13-0.0124%7 Dec →
overpass5–13-0.0732%6 Dec →
inferno6–13-0.0429%6 Dec →
dust213–80.032%6 Dec →
nuke13–80.0721%6 Dec →
overpass12–16-0.0213%5 Dec →
train13–50.0323%5 Dec →
inferno13–9-0.0224%5 Dec →
overpass16–140.0218%5 Dec →

Match data via Leetify.

Recent teammates

Milestones

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