Butt Goblin

Butt Goblin — CS2 Stats

US76561198009424263[U:1:49158535]Steam profile ↗

645Tracked matches43%Win rate2020Tracked since
CSDB Rating2.5 Learning
Premier CS Rating3,335Grey band · top ~85.9% of ranked players (population est.)
CSDB Leaderboard#22362 of 28705 tracked
Ladder ranks via Leetify

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CSDB.GGButt GoblinPREMIER3,335 · Grey bandcsdb.gg/stats

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Performance scores

Aim13
Positioning33
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY4159Last 10041%Win rateLLLWLWLWLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim1.3
Aggression3.7
Utility5.7
Positioning3.3
Opening Duels0.1

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 71% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 727ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim1.3
Positioning3.3
Utility5.7
Mechanics3.4
Opening Duels1.1
Win Impact2.8

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time724ms+4ms
first ⅓ avg 720ms → last ⅓ avg 724ms
Headshot accuracy8.7%−0.8%
first ⅓ avg 9.5% → last ⅓ avg 8.7%

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.

Highlights

0.10Best rating — nuke 13–7
130Biggest win — ancient
4Longest win streak
L3Current streak
76In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 60% over 5infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B27131448%-0.01
mirageC25101540%-0.02
nukeD1751229%-0.04
ancientD113827%-0.03
infernoD82625%-0.04
overpassA53260%-0.01
cache42250%-0.02
anubis220100%-0.01
office110100%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno 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.

8.4%Headshot accuracy
27.4%Accuracy (enemy spotted)
28.7%Spray accuracy
65.1%Counter-strafing
12.3°Preaim
727msReaction time
22.2%T opening success
38.4%CT opening success
0.63Enemies flashed / flash
4.2%Flash assists
11.55HE damage / grenade
15.73Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3094° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.3718% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 726.7361ms — above the 700ms mark we flag

    Aim Training
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.060%9 Aug
mirage7–13-0.009%8 Aug
mirage6–13-0.058%8 Aug
dust213–80.0416%5 Aug
ancient3–130.0117%5 Aug
dust213–70.0116%5 Aug
dust28–13-0.078%3 Aug
cache13–8-0.064%1 Aug
inferno3–13-0.1115%31 Jul
nuke13–8-0.077%30 Jul
dust210–13-0.0512%27 Jul
anubis16–14-0.054%25 Jul
mirage5–13-0.0010%23 Jul
dust28–13-0.065%22 Jul
mirage13–7-0.0114%21 Jul
inferno13–100.021%20 Jul
cache10–130.019%18 Jul
nuke13–7-0.026%18 Jul
mirage13–7-0.0610%17 Jul
mirage6–13-0.035%17 Jul
mirage13–100.014%14 Jul
cache11–13-0.014%14 Jul
ancient13–8-0.067%13 Jul
dust25–13-0.0414%13 Jul
ancient13–5-0.0014%13 Jul
nuke5–13-0.088%13 Jul
dust213–30.0215%12 Jul
nuke12–16-0.086%11 Jul
ancient6–13-0.014%8 Jul
nuke10–13-0.057%7 Jul
office13–10-0.0711%7 Jul
mirage9–13-0.029%1 Jul
overpass13–11-0.048%27 Jun
dust216–130.0010%26 Jun
dust26–13-0.039%23 Jun
nuke8–130.028%22 Jun
nuke1–13-0.108%19 Jun
dust210–13-0.0514%18 Jun
mirage12–160.0012%17 Jun
inferno2–13-0.085%17 Jun
nuke3–13-0.066%16 Jun
ancient0–2-0.010%15 Jun
nuke13–9-0.0618%12 Jun
inferno16–140.015%11 Jun
dust213–11-0.009%10 Jun
mirage13–7-0.0511%7 Jun
inferno6–13-0.0211%7 Jun
nuke9–13-0.023%4 Jun
ancient1–10-0.085%3 Jun
inferno5–13-0.070%3 Jun
dust213–11-0.017%3 Jun
nuke9–13-0.066%2 Jun
ancient13–0-0.000%2 Jun
mirage6–13-0.0312%1 Jun
dust24–13-0.0712%31 May
dust213–80.005%30 May
mirage13–8-0.0410%29 May
mirage10–13-0.057%27 May
nuke9–13-0.043%27 May
dust214–16-0.008%26 May
mirage8–130.009%26 May
mirage3–13-0.119%23 May
mirage13–6-0.025%23 May
dust213–6-0.037%19 May
overpass1–13-0.014%16 May
inferno12–16-0.019%13 May
mirage16–120.026%13 May
dust213–160.0313%11 May
mirage11–130.056%9 May
dust213–80.0410%6 May
anubis13–70.034%5 May
dust213–60.0314%2 May
nuke12–16-0.056%1 May
mirage13–40.0911%30 Apr
nuke5–13-0.036%29 Apr
dust25–13-0.0321%29 Apr
cache13–11-0.036%28 Apr
ancient2–13-0.086%28 Apr
mirage10–13-0.0811%28 Apr
overpass13–6-0.0314%24 Apr
mirage1–13-0.099%23 Apr
dust213–3-0.0116%23 Apr
mirage9–13-0.018%22 Apr
nuke13–70.1012%22 Apr
dust210–130.0411%21 Apr
mirage13–110.028%21 Apr
dust211–13-0.0112%21 Apr
mirage2–13-0.0910%17 Apr
ancient12–16-0.019%17 Apr
inferno10–13-0.048%15 Apr
nuke13–10-0.0312%10 Apr
overpass11–13-0.044%8 Apr
overpass13–60.058%7 Apr
ancient8–13-0.046%7 Apr
dust213–8-0.027%3 Apr
nuke7–13-0.076%3 Apr
mirage13–8-0.0310%3 Apr
dust27–13-0.016%3 Apr
dust20–10-0.0513%2 Apr
dust213–10-0.0210%2 Apr

Match data via Leetify.

Milestones

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