Lazy Butthole

Lazy Butthole — CS2 Stats

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

1,995Tracked matches43%Win rate2020Tracked since
CSDB Rating4.9 DevelopingAll-Rounder
FaceitLevel 10 · 1,995 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,995 → 1,995
+6Tracked matches · now 1,995
0.0ppWin rate · 43.3% → 43.3%

Rating over time

Premier CS Rating: 20,299 +421 17 Apr – 5 Jul · 16 days played
19,87823,256peak 23,25617 Apr5 Jul
Faceit ELO: 1,995 +0 14 Sept – 20 Sept · 4 observations
1,9951,995peak 1,99514 Sept20 Sept
23,474Peak Premier in tracked matches
1,995Highest Faceit ELO seen on CSDB
44Days played since 2026-04-17

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 10 · 1,995 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,995csdb.gg/stats

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Performance scores

Aim81
Positioning43
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWLWLWLWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −7.6pp headshot accuracy · −34ms 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 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 535ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 526ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 543ms

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.

Aim8.1
Utility3.4
Positioning4.3
Opening Duels3.3
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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° 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 49% 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

Aim8.1
Positioning4.3
Utility3.4
Mechanics5.6
Opening Duels2.4
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 time557ms−2ms
first ⅓ avg 558ms → last ⅓ avg 557ms
Headshot accuracy18.8%+1.1%
first ⅓ avg 17.7% → last ⅓ avg 18.8%

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
7–11In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 78% over 9mirageWeakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
mirageD257–1828%0.00
ancientB2110–1148%0.01
infernoB179–853%0.01
anubisC125–742%0.00
dust2B115–645%0.01
nukeS97–278%0.01
overpassC52–340%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,158Matches
51%Win rate
0.97Avg K/D
80.1ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10455%1.0616.1
Mirage7947%0.9815.7
Inferno7956%1.1217.3
Anubis7149%0.9915.2
Dust26653%0.9014.8
Nuke3557%1.0515.9
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.

18.8%Headshot accuracy
41.6%Accuracy (enemy spotted)
42.2%Spray accuracy
75.2%Counter-strafing
10.2°Preaim
553msReaction time
30.0%T opening success
49.0%CT opening success
0.36Enemies flashed / flash
5.1%Flash assists
13.01HE damage / grenade
2.25Flashes / 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 0.3556 — 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 29.992% — 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.

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0312%20 Sept →
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 →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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