Durnk McBuckets

Durnk McBuckets — CS2 Stats

US76561198240067046[U:1:279801318]Steam profile ↗✓ No bans

439Tracked matches41%Win rate2021Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating10,621Blue band · top ~51.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Jul 2026 (102 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: 10,621 +1,121 1 Aug – 6 Jul · 14 days played
9,36910,938peak 10,9381 Aug6 Jul
10,938Peak Premier in tracked matches
46Days played since 2025-07-04

Premier CS Rating

  • 317 below peak (10,938)
  • +24 over 90 days
  • Next: Purple band at 15,000 — 4,379 to go
  • Reached: Blue band · 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.GGDurnk McBucketsFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,621 · Blue bandcsdb.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

Aim54
Positioning51
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateWLLWLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.3pp headshot accuracy · +52ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 673ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 692ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 666ms

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 (+1.9 against its own average).

Aim5.4
Utility6.9
Positioning5.1
Opening Duels3.1

Strong CT-side openerEffective flashes

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

ZywOo

Plays most like ZywOo 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 55% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms 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

Aim5.4
Positioning5.1
Utility6.9
Mechanics6.7
Opening Duels3.1
Win Impact2.1

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time652ms−45ms
first ⅓ avg 697ms → last ⅓ avg 652ms
Headshot accuracy16.5%−0.9%
first ⅓ avg 17.4% → last ⅓ avg 16.5%

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

0.10Best match rating · 4–13 · inferno, 5 Aug →
31%Best headshot accuracy · 13–6 · dust2, 6 Jul →
469msFastest reaction time · 13–11 · inferno, 4 Apr →
13–1Biggest win · overpass, 25 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 81% over 16nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%0.01
ancientC176–1135%-0.00
overpassS1613–381%0.02
mirageC125–742%0.00
dust2B84–450%0.02
anubisA74–357%0.01
trainS75–271%0.01
nukeD51–420%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.5%Headshot accuracy
31.2%Accuracy (enemy spotted)
33.3%Spray accuracy
80.0%Counter-strafing
9.6°Preaim
648msReaction time
27.5%T opening success
54.6%CT opening success
0.74Enemies flashed / flash
8.0%Flash assists
14.77HE damage / grenade
8.58Flashes / 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. 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 27.451% — below the 40% mark we flag

Spend your practice time on Nuke

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–50.029%6 Jul →
inferno11–13-0.0718%17 May →
overpass8–130.0413%16 May →
overpass13–30.0323%16 May →
ancient9–13-0.0422%16 May →
anubis13–6-0.0719%23 Apr →
anubis10–130.0722%23 Apr →
overpass16–130.0026%16 Apr →
mirage10–130.0425%15 Apr →
overpass8–13-0.0013%14 Apr →
overpass15–150.0011%13 Apr →
ancient2–13-0.0924%13 Apr →
ancient13–5-0.0311%12 Apr →
mirage9–13-0.054%12 Apr →
inferno4–13-0.0416%11 Apr →
anubis10–13-0.0225%9 Apr →
inferno10–13-0.0413%9 Apr →
ancient16–130.0811%8 Apr →
inferno16–140.0721%7 Apr →
mirage13–60.0421%6 Apr →
inferno13–9-0.0318%6 Apr →
ancient6–13-0.0121%6 Apr →
nuke7–130.0312%5 Apr →
inferno5–13-0.0316%5 Apr →
inferno8–13-0.0116%5 Apr →
mirage13–60.0614%4 Apr →
inferno13–110.0314%4 Apr →
ancient13–100.056%3 Apr →
inferno5–13-0.0317%2 Apr →
inferno7–130.0115%29 Mar →
ancient3–13-0.0317%29 Mar →
anubis13–100.0815%29 Mar →
train6–13-0.0118%17 Aug →
inferno13–9-0.0318%17 Aug →
mirage11–13-0.0111%14 Aug →
inferno6–13-0.0115%13 Aug →
nuke8–13-0.0812%13 Aug →
train16–140.0418%12 Aug →
inferno13–40.0323%12 Aug →
overpass13–110.0110%10 Aug →
ancient8–13-0.0210%8 Aug →
overpass13–5-0.049%8 Aug →
overpass13–60.1014%7 Aug →
inferno13–60.0613%7 Aug →
dust213–100.0616%7 Aug →
inferno11–130.0511%5 Aug →
inferno4–130.1013%5 Aug →
dust28–130.0412%4 Aug →
dust213–80.0413%4 Aug →
inferno11–130.016%3 Aug →
overpass13–8-0.0013%3 Aug →
ancient10–13-0.0511%3 Aug →
inferno7–13-0.0119%2 Aug →
ancient13–110.0418%1 Aug →
overpass13–60.0223%31 Jul →
ancient13–50.0820%31 Jul →
ancient13–10-0.037%28 Jul →
mirage2–80.0114%28 Jul →
dust213–50.0022%27 Jul →
train13–90.0524%27 Jul →
nuke10–13-0.0214%27 Jul →
inferno13–100.0315%27 Jul →
mirage13–16-0.0213%27 Jul →
ancient15–150.0114%27 Jul →
inferno6–13-0.0710%27 Jul →
ancient8–130.0211%26 Jul →
inferno13–110.0015%26 Jul →
overpass13–6-0.0512%26 Jul →
overpass13–10.0724%25 Jul →
inferno13–90.0313%25 Jul →
train10–13-0.0316%25 Jul →
mirage11–13-0.0020%24 Jul →
mirage7–13-0.0914%24 Jul →
mirage13–6-0.0312%24 Jul →
ancient14–16-0.0115%24 Jul →
overpass13–40.0425%24 Jul →
inferno13–40.0419%23 Jul →
ancient5–13-0.0514%23 Jul →
mirage13–80.0521%23 Jul →
dust29–13-0.0327%22 Jul →
nuke10–13-0.0725%22 Jul →
ancient9–130.0325%22 Jul →
overpass13–50.0115%19 Jul →
inferno8–130.0217%19 Jul →
mirage13–20.0621%19 Jul →
nuke13–80.0515%18 Jul →
inferno13–7-0.0211%16 Jul →
overpass13–90.0420%16 Jul →
dust210–13-0.0119%10 Jul →
inferno6–13-0.097%10 Jul →
train13–2-0.0218%7 Jul →
anubis13–100.0816%7 Jul →
inferno13–70.0713%6 Jul →
dust213–60.0831%6 Jul →
train13–100.0512%6 Jul →
inferno13–90.089%6 Jul →
anubis13–9-0.0315%6 Jul →
train13–4-0.0428%4 Jul →
anubis6–13-0.0314%4 Jul →
dust211–13-0.0411%4 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.