Butter_Boogle — CS2 Stats

76561199013877562[U:1:1053611834]✓ No bans

391Tracked matches55%Win rate2021Tracked since
612Hours in CS35Hrs last 2 wks
CSDB Rating3.7 Learning
Premier CS Rating13,211Blue band · top ~37.9% of ranked players (population est.)
CSDB Leaderboard#36701 of 56042 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.2%41.4%44.2%3.0% short
Shot accuracy6.8%9.0%11.6%4.7% short
Kill/death ratio0.820.971.030.21 short
Match win rate41.4%43.7%45.2%3.8% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGButter_BooglePREMIER13,211 · Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning50
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateLWLLWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim3.1
Aggression4.5
Utility3.2
Positioning5.0
Opening Duels1.5

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 74% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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 52% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.1
Positioning5.0
Utility3.2
Mechanics3.5
Opening Duels2.8
Win Impact6.7

Composite 3.7/10 (Learning), 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 rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time660ms−101ms
first ⅓ avg 761ms → last ⅓ avg 660ms
Headshot accuracy14.7%−3.1%
first ⅓ avg 17.8% → last ⅓ avg 14.7%

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

0.11Best rating — mirage 13–2
131Biggest win — dust2
4Longest win streak
44In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B30141647%-0.02
mirageB21111052%-0.01
nukeA1811761%0.00
cacheS75271%-0.03
infernoD62433%-0.05
trainC52340%-0.03
ancient42250%0.02
vertigo32167%-0.02
anubis31233%-0.04
office21150%-0.04
overpass1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,048Lifetime kills
0.82K/D
746Matches
41.4%Match win rate
41.2%Headshot %
6.8%Shot accuracy
1,755MVPs
273Hours (in match)
508Bombs planted
191Bombs defused

Most-used weapons

Lifetime map wins

1,880dust2
862nuke
818inferno
314vertigo
163train
71office
2cbble

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

Skill profile

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

15.4%Headshot accuracy
30.1%Accuracy (enemy spotted)
28.4%Spray accuracy
65.9%Counter-strafing
11.1°Preaim
657msReaction time
19.6%T opening success
52.3%CT opening success
0.50Enemies flashed / flash
1.8%Flash assists
8.67HE damage / grenade
3.03Flashes / 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 0.4965 — 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 19.6147% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient14–160.039%31 Aug
dust213–11-0.0121%30 Aug
dust26–13-0.0414%30 Aug
vertigo2–13-0.008%29 Aug
dust213–7-0.0413%29 Aug
cache13–10-0.027%29 Aug
inferno13–2-0.0117%29 Aug
dust213–60.0618%29 Aug
dust26–13-0.0616%29 Aug
mirage13–20.1117%29 Aug
inferno12–12-0.0616%28 Aug
mirage1–13-0.0418%26 Aug
dust29–13-0.015%26 Aug
nuke4–130.0015%26 Aug
mirage13–7-0.0216%26 Aug
mirage13–70.0510%26 Aug
mirage13–7-0.0219%26 Aug
mirage6–13-0.0719%26 Aug
dust213–5-0.078%26 Aug
ancient13–40.0111%26 Aug
mirage5–13-0.0417%26 Aug
mirage16–140.0124%25 Aug
mirage6–13-0.0131%25 Aug
anubis7–130.0013%25 Aug
dust213–3-0.0212%25 Aug
ancient13–40.079%25 Aug
inferno2–13-0.0613%25 Aug
nuke13–30.0222%25 Aug
nuke13–50.0413%24 Aug
inferno10–13-0.0629%24 Aug
cache16–13-0.0115%23 Aug
mirage7–13-0.067%23 Aug
nuke12–12-0.044%22 Aug
dust213–1-0.067%22 Aug
nuke13–40.0121%22 Aug
mirage9–13-0.048%20 Aug
mirage13–80.0223%20 Aug
mirage6–00.0910%20 Aug
dust213–7-0.0116%20 Aug
mirage2–13-0.078%20 Aug
dust213–8-0.0523%20 Aug
dust213–50.0322%20 Aug
nuke13–10-0.0217%20 Aug
dust213–80.0137%19 Aug
dust26–13-0.0635%19 Aug
dust210–13-0.0426%19 Aug
nuke9–13-0.0211%19 Aug
nuke13–2-0.0728%17 Aug
nuke12–120.0210%17 Aug
dust213–50.0510%17 Aug
inferno13–4-0.0215%17 Aug
mirage13–40.0114%17 Aug
ancient8–13-0.0315%15 Aug
nuke13–40.0510%14 Aug
mirage11–13-0.0418%13 Aug
train13–9-0.0316%13 Aug
dust213–40.0020%13 Aug
train1–13-0.0612%13 Aug
dust26–13-0.0615%11 Aug
inferno10–13-0.0812%11 Aug
mirage4–13-0.0421%9 Aug
mirage13–10-0.0023%8 Aug
nuke13–50.0121%8 Aug
mirage13–50.0916%8 Aug
dust213–110.0019%8 Aug
overpass11–13-0.0514%8 Aug
nuke13–80.0316%7 Aug
dust23–13-0.0122%7 Aug
dust21–13-0.060%7 Aug
mirage13–60.0015%7 Aug
dust213–9-0.0128%7 Aug
nuke10–00.1115%7 Aug
dust29–13-0.0617%7 Aug
nuke12–12-0.0115%7 Aug
vertigo13–11-0.0515%29 Jul
vertigo13–90.0115%29 Jul
dust28–13-0.0421%28 Jul
anubis13–10-0.1026%22 Jul
anubis9–13-0.0210%22 Jul
nuke12–120.0222%19 Jul
dust29–13-0.0831%19 Jul
nuke13–9-0.0613%17 Jul
dust27–13-0.0123%14 Jul
nuke10–130.0110%11 Jul
dust27–130.0330%9 Jul
office13–60.0313%9 Jul
office8–13-0.1013%9 Jul
cache13–7-0.0518%1 Jul
cache10–13-0.0411%1 Jul
cache13–100.0322%1 Jul
cache13–9-0.0827%24 Jun
cache7–13-0.0117%24 Jun
dust211–13-0.0516%22 Jun
dust23–13-0.0318%20 Jun
mirage4–13-0.0732%20 Jun
train13–8-0.0315%19 Jun
train8–130.0018%19 Jun
train6–13-0.0415%19 Jun
dust25–13-0.0611%14 Jun
nuke13–2-0.0114%11 Jun

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 →