Lazy Butthole

Lazy Butthole — CS2 Stats

76561197993678383[U:1:33412655]Steam profile ↗✓ No bans

1,989Tracked matches43%Win rate2020Tracked since
CSDB Rating4.9 DevelopingAll-Rounder
FaceitLevel 9 · 1,995 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,989 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 16 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,299 +300 16 Apr5 Jul · 17 days played
19,87823,256peak 23,25616 Apr5 Jul
Faceit ELO: 1,995 +0 14 Sept18 Sept · 3 observations
1,9951,995peak 1,99514 Sept18 Sept
23,474Peak Premier in tracked matches
1,995Highest Faceit ELO seen on CSDB
44Days played since 2026-04-16

Faceit ELO

  • At peak — 1,995
  • Next: Level 10 at 2,001 6 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-14
  • Level 8 first seen 2026-09-14

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

Share this profile

CSDB.GGLazy ButtholeFACEITLevel 9 · 1,995 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,995csdb.gg/stats

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Performance scores

Aim82
Positioning44
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateWLWLWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −4.9pp headshot accuracy · −30ms reaction

Win rate +10pp 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 525ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 528ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim8.2
Utility3.2
Positioning4.4
Opening Duels3.8
Clutch3.4

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

ropz

Plays most like ropz 93% 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 38 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.

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2
Positioning4.4
Utility3.2
Mechanics5.6
Opening Duels2.6
Win Impact2.8

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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time554ms−6ms
first ⅓ avg 560ms → last ⅓ avg 554ms
Headshot accuracy19.2%+1.5%
first ⅓ avg 17.7% → last ⅓ avg 19.2%

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

0.15Best match rating · 13–2 · ancient, 31 Aug
33%Best headshot accuracy · 4–13 · mirage, 15 May
422msFastest reaction time · 13–8 · ancient, 4 Aug
13–1Biggest win · anubis, 18 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
711In matches decided by ≤2 rounds
17Overtime games

Map breakdown

nukeBest map · 78% over 9mirageWeakest map · 32% over 25
MapGradePlayedRecordWin rateAvg rating
mirageD2581732%0.01
ancientB21101148%0.01
infernoB179853%0.01
anubisC125742%0.00
dust2B115645%0.01
nukeS97278%0.01
overpassC52340%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,152Matches
51%Win rate
0.98Avg K/D
80.3ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient10355%1.0616.2
Inferno7956%1.1217.3
Mirage7847%0.9915.7
Anubis7149%0.9915.2
Dust26352%0.9015.0
Nuke3459%1.0616.0
Train3456%1.0718.0
Overpass333%1.2114.7

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.

19.1%Headshot accuracy
41.8%Accuracy (enemy spotted)
42.7%Spray accuracy
75.1%Counter-strafing
10.0°Preaim
554msReaction time
30.3%T opening success
50.6%CT opening success
0.32Enemies flashed / flash
5.1%Flash assists
12.77HE damage / grenade
2.18Flashes / 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 0.3179 — 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 30.3026% — below the 40% mark we flag

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.

32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–20.1524%31 Aug
ancient3–13-0.0111%28 Aug
ancient13–9-0.0111%22 Aug
mirage14–16-0.0321%22 Aug
anubis13–11-0.0014%19 Aug
ancient5–13-0.0610%19 Aug
mirage13–40.0412%19 Aug
mirage11–130.0425%18 Aug
dust216–120.0012%9 Aug
dust213–80.0130%9 Aug
inferno8–13-0.0326%9 Aug
ancient7–130.0014%9 Aug
ancient11–13-0.0125%6 Aug
ancient13–8-0.0717%4 Aug
mirage19–160.0527%4 Aug
mirage10–13-0.0026%4 Aug
nuke16–130.0323%4 Aug
nuke16–140.0516%1 Aug
dust210–130.0223%1 Aug
inferno13–40.1122%1 Aug
mirage11–130.0213%1 Aug
ancient8–13-0.0418%1 Aug
anubis11–13-0.0314%1 Aug
nuke13–100.0327%31 Jul
dust28–13-0.0029%31 Jul
inferno4–130.059%31 Jul
ancient9–13-0.0014%30 Jul
mirage9–13-0.0410%29 Jul
nuke13–100.0324%29 Jul
anubis8–13-0.0320%29 Jul
anubis15–150.0125%27 Jul
mirage13–9-0.0119%27 Jul
anubis13–10.1125%18 Jul
mirage13–11-0.0224%18 Jul
ancient11–13-0.0213%13 Jul
mirage11–13-0.046%13 Jul
dust29–130.0230%13 Jul
mirage13–110.0211%12 Jul
inferno13–8-0.053%8 Jul
ancient8–13-0.0320%8 Jul
ancient19–17-0.0017%7 Jul
anubis8–13-0.0523%6 Jul
inferno15–15-0.0210%5 Jul
inferno10–13-0.0118%5 Jul
anubis13–70.0115%5 Jul
inferno9–13-0.0315%3 Jul
overpass13–30.1414%28 Jun
inferno13–80.0122%28 Jun
ancient7–13-0.0211%23 Jun
mirage15–150.1018%23 Jun
inferno16–12-0.0518%23 Jun
overpass10–130.0617%22 Jun
mirage10–13-0.049%22 Jun
dust29–13-0.0114%17 Jun
inferno13–8-0.0224%10 Jun
ancient13–40.0822%10 Jun
ancient11–13-0.0210%25 May
nuke5–13-0.0424%24 May
inferno13–90.0530%17 May
mirage13–16-0.0311%16 May
mirage11–13-0.0126%15 May
ancient13–10.0021%15 May
mirage4–130.0833%15 May
ancient19–160.0323%14 May
nuke5–130.0311%14 May
anubis11–13-0.019%13 May
dust213–8-0.0219%13 May
anubis13–80.0212%13 May
ancient13–50.0714%13 May
anubis13–8-0.0017%7 May
mirage11–13-0.0016%7 May
inferno13–90.0420%29 Apr
overpass9–13-0.0323%29 Apr
mirage3–130.0125%29 Apr
inferno9–130.0218%29 Apr
mirage13–160.0214%28 Apr
ancient4–130.0218%28 Apr
dust213–50.0917%28 Apr
anubis7–13-0.0324%28 Apr
mirage15–150.0114%27 Apr
inferno16–120.0217%27 Apr
mirage13–90.0327%27 Apr
overpass13–70.0320%25 Apr
dust25–13-0.0813%24 Apr
overpass7–13-0.0314%24 Apr
ancient16–130.0620%22 Apr
dust25–130.0214%22 Apr
mirage13–9-0.0320%22 Apr
dust213–100.019%21 Apr
anubis6–130.0126%21 Apr
ancient13–90.0421%21 Apr
inferno13–70.0116%21 Apr
mirage10–13-0.0110%21 Apr
nuke13–11-0.016%20 Apr
nuke13–9-0.0320%20 Apr
inferno9–130.0533%17 Apr
nuke16–14-0.029%17 Apr
inferno7–130.0213%17 Apr
mirage3–13-0.0123%17 Apr
mirage13–40.0119%16 Apr

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 →