Bukzu2k

Bukzu2k — CS2 Stats

DK76561198991361815[U:1:1031096087]Steam profile ↗✓ No bans

4,103Tracked matches67%Win rate2020Tracked since
5,463Hours in CS
CSDB Rating5.7 SolidPositional Player
FaceitLevel 10 · 2,308 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,308 → 2,308
+65Tracked matches · now 4,103
+6.7ppWin rate · 60.0% → 66.7%

Rating over time

Faceit ELO: 2,308 +0 6 Sept – 18 Sept · 2 observations
2,3082,308peak 2,3086 Sept18 Sept
2,308Highest Faceit ELO seen on CSDB
72Days played since 2025-07-29

Faceit ELO

  • At peak — 2,308
  • Next: 2,500 ELO at 2,500 — 192 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate63.7%50.9%
Shot accuracy11.7%13.7%
Kill/death ratio0.981.09
Match win rate46.3%48.4%

Share this profile

CSDB.GGBukzu2kFACEITLevel 10 · 2,308 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,308csdb.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

Aim61
Positioning58
Utility57

0–100 skill scores via Leetify.

Recent form

HOT63–37Last 10063%Win rateWWWWWLWWLL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −2.8pp headshot accuracy · −130ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 522ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 494ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

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 against its own average).

Aim6.1
Utility5.7
Positioning5.8
Opening Duels4.0
Clutch3.8

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 83% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.1
Positioning5.8
Utility5.7
Mechanics4.3
Opening Duels2.6
Win Impact10.0

Composite 5.7/10 (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 rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time568ms−21ms
first ⅓ avg 589ms → last ⅓ avg 568ms
Headshot accuracy21.1%+0.9%
first ⅓ avg 20.2% → last ⅓ avg 21.1%

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

0.13Best match rating · 13–1 · ancient, 29 Aug →
43%Best headshot accuracy · 2–0 · ancient, 24 Oct →
367msFastest reaction time · 16–12 · ancient, 11 Oct →
13–0Biggest win · nuke, 26 Mar →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W5Current streak
18–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 83% over 6dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientA3019–1163%0.01
nukeA2213–959%-0.00
overpassS1512–380%-0.00
infernoC73–443%-0.01
trainA74–357%-0.02
mirageS65–183%0.02
dust2D51–420%-0.00
anubis—32–167%-0.05
vertigo—33–0100%0.00
cache—21–150%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

238,582Lifetime kills
0.98K/D
5,303Matches
46.3%Match win rate
63.7%Headshot % · Top 10% of Level 10 players
11.7%Shot accuracy
19,559MVPs
5,463Hours (in match)
4,155Bombs planted
2,759Bombs defused

Most-used weapons

AK-47111,912
AWP8,282
Knife3,401
FAMAS3,117
MP92,216

Lifetime map wins

12,459nuke
11,516inferno
9,556vertigo
3,297train
2,480dust2
149cbble
124lake
17safehouse

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

Faceit stats

Combat

3,797Matches
51%Win rate
0.97Avg K/D
77.3ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient73256%1.0215.8
Nuke41054%0.9815.4
Anubis34848%0.9315.4
Overpass20456%1.0716.0
Vertigo19457%0.9815.6
Mirage17745%0.9315.5
Inferno14436%0.8714.7
Train12753%1.0515.8

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.

20.6%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.2%Spray accuracy
69.5%Counter-strafing
9.8°Preaim
565msReaction time
33.7%T opening success
47.0%CT opening success
0.70Enemies flashed / flash
6.5%Flash assists
8.87HE damage / grenade
9.28Flashes / 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 33.7073% — 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.

20% win rate across 5 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
ancient13–11-0.0219%23 Oct →
ancient16–12-0.0322%11 Oct →
ancient13–40.0521%9 Oct →
ancient13–70.0116%26 Sept →
cache13–90.0019%25 Sept →
ancient10–13-0.0521%19 Sept →
anubis13–10-0.0228%19 Sept →
vertigo13–11-0.0112%6 Sept →
inferno6–13-0.0215%30 Aug →
anubis6–13-0.1114%20 Aug →
ancient14–160.0318%28 Jul →
ancient8–13-0.0519%13 Jul →
cache4–13-0.0621%10 Jul →
nuke13–100.0318%7 Jul →
dust26–130.0136%7 Jul →
mirage13–9-0.0519%6 Jul →
ancient9–13-0.0511%2 Jul →
dust216–13-0.0218%21 Jun →
ancient25–280.0122%20 May →
ancient13–70.0333%15 May →
overpass13–8-0.0323%25 Apr →
inferno15–190.0218%24 Apr →
nuke13–90.0517%24 Apr →
mirage13–50.1024%16 Apr →
mirage16–140.0831%6 Apr →
ancient13–110.0329%26 Mar →
nuke13–00.0535%26 Mar →
ancient16–120.0212%12 Mar →
anubis13–11-0.0320%15 Feb →
nuke13–8-0.0313%7 Feb →
inferno13–4-0.0128%31 Jan →
mirage13–90.0019%31 Jan →
ancient11–13-0.0225%11 Jan →
nuke10–13-0.0511%5 Jan →
overpass13–110.0311%1 Jan →
overpass19–16-0.0321%1 Jan →
nuke9–13-0.0312%1 Jan →
mirage10–13-0.039%1 Jan →
ancient7–13-0.0720%31 Dec →
train6–13-0.0026%31 Dec →
nuke16–13-0.0422%29 Dec →
nuke13–60.0817%27 Dec →
train10–130.0225%16 Dec →
ancient13–11-0.0313%14 Dec →
inferno13–11-0.0326%7 Dec →
overpass13–2-0.0115%7 Dec →
train0–13-0.0626%2 Dec →
train13–110.0320%1 Dec →
ancient13–40.0313%24 Nov →
nuke8–130.0314%24 Nov →
overpass9–130.0219%19 Nov →
vertigo9–00.057%18 Nov →
nuke9–4-0.0113%18 Nov →
nuke13–11-0.0413%15 Nov →
dust25–13-0.0320%2 Nov →
nuke9–13-0.0518%31 Oct →
dust211–13-0.0116%26 Oct →
ancient2–00.0843%24 Oct →
nuke12–16-0.0424%19 Oct →
mirage16–140.0621%18 Oct →
nuke13–50.1132%16 Oct →
nuke13–50.0121%13 Oct →
inferno16–120.0316%6 Oct →
ancient13–90.0219%29 Sept →
ancient10–13-0.0118%28 Sept →
ancient10–13-0.0320%27 Sept →
overpass13–20.0914%27 Sept →
train13–5-0.0312%27 Sept →
overpass13–11-0.1114%27 Sept →
nuke13–80.0729%22 Sept →
dust25–130.0516%22 Sept →
overpass3–13-0.0522%21 Sept →
ancient16–14-0.0215%20 Sept →
inferno6–13-0.0326%19 Sept →
overpass13–110.0025%14 Sept →
nuke8–13-0.0527%11 Sept →
overpass13–11-0.0515%11 Sept →
ancient13–50.1128%4 Sept →
ancient13–80.0815%3 Sept →
nuke10–13-0.0422%3 Sept →
overpass13–11-0.0010%3 Sept →
ancient13–80.1017%3 Sept →
overpass13–100.0517%30 Aug →
nuke13–20.0329%30 Aug →
train13–5-0.0317%29 Aug →
ancient13–10.1332%29 Aug →
ancient13–100.0618%29 Aug →
nuke12–16-0.0125%29 Aug →
ancient6–13-0.0423%29 Aug →
inferno8–13-0.0113%23 Aug →
overpass13–110.0113%17 Aug →
ancient13–90.0324%13 Aug →
overpass8–130.0226%10 Aug →
ancient9–13-0.0614%10 Aug →
ancient13–7-0.0016%8 Aug →
nuke11–13-0.0119%1 Aug →
train13–2-0.0533%31 Jul →
vertigo13–9-0.0318%29 Jul →
overpass13–30.0016%29 Jul →
nuke13–5-0.0919%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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