to Pimp a Butterfly

to Pimp a Butterfly — CS2 Stats

US76561198120419455[U:1:160153727]Steam profile ↗✓ No bans

1,110Tracked matches46%Win rate2021Tracked since
1,304Hours in CS22Hrs last 2 wks
CSDB Rating4.0 Developing
Premier CS Rating10,679Blue band · top ~51.3% of ranked players (population est.)
CSDB Leaderboard#25691 of 35998 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate39.6%42.1%42.5%2.8% short
Shot accuracy7.8%12.1%10.9%3.1% short
Kill/death ratio0.870.990.990.13 short
Match win rate32.5%43.9%44.2%11.7% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGto Pimp a ButterflyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,679 · Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning50
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY404911Last 10040%Win rateLLWWWLWWLL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim4.5
Aggression5.3
Utility4.0
Positioning5.0
Opening Duels2.3

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 82% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 642ms 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

Aim4.5
Positioning5.0
Utility4.0
Mechanics4.4
Opening Duels2.3
Win Impact3.8

Composite 4.0/10 (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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time647ms−22ms
first ⅓ avg 670ms → last ⅓ avg 647ms
Headshot accuracy15.6%+2.7%
first ⅓ avg 12.9% → last ⅓ avg 15.6%

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

0.18Best rating — cache 13–5
130Biggest win — train
4Longest win streak
L2Current streak
68In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 63% over 8infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C1661038%0.01
cacheC156940%0.01
nukeD113827%-0.02
poseidonC94544%0.03
trainA85363%0.00
infernoD71614%-0.03
vertigoC73443%-0.01
overpassA53260%-0.01
mirageC52340%0.01
ancient43175%0.03
debris31233%-0.02
anubis31233%0.04
office21150%-0.00
eldorado21150%0.02
sanctum2020%0.03
warden1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,094Lifetime kills
0.87K/D
3,025Matches
32.5%Match win rate
39.6%Headshot %
7.8%Shot accuracy
5,431MVPs
901Hours (in match)
1,856Bombs planted
424Bombs defused

Most-used weapons

AK-4714,681
AWP5,087
SSG 081,216
MP91,190
P2501,098

Lifetime map wins

2,208dust2
1,554nuke
1,496inferno
1,468vertigo
1,382train
960office
412italy
44lake

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.

15.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.1%Spray accuracy
69.8%Counter-strafing
11.7°Preaim
642msReaction time
37.0%T opening success
41.1%CT opening success
0.59Enemies flashed / flash
5.3%Flash assists
9.47HE damage / grenade
4.21Flashes / 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 36.9961% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0810%30 Aug
dust25–130.0619%30 Aug
train13–7-0.0115%29 Aug
debris9–7-0.0516%29 Aug
poseidon9–7-0.0128%29 Aug
dust210–130.0919%29 Aug
office13–100.038%29 Aug
dust213–110.0013%29 Aug
cache4–13-0.0917%29 Aug
inferno7–13-0.0011%29 Aug
eldorado9–20.0710%29 Aug
nuke13–110.0213%29 Aug
vertigo11–13-0.0315%29 Aug
dust24–13-0.037%29 Aug
debris7–9-0.0323%29 Aug
cache12–120.0021%25 Aug
overpass4–13-0.0017%25 Aug
dust212–120.0222%24 Aug
cache13–50.1810%24 Aug
poseidon7–90.0915%24 Aug
train13–90.039%23 Aug
nuke5–13-0.0336%23 Aug
dust27–130.0313%23 Aug
mirage13–70.0514%23 Aug
vertigo8–13-0.0118%23 Aug
nuke8–13-0.0914%23 Aug
dust213–80.0027%23 Aug
cache6–13-0.0911%23 Aug
train10–130.0115%23 Aug
poseidon6–9-0.0719%23 Aug
cache5–0-0.010%22 Aug
ancient4–13-0.0718%22 Aug
mirage13–3-0.0013%22 Aug
nuke13–7-0.076%22 Aug
inferno13–50.0413%22 Aug
overpass13–3-0.0314%22 Aug
dust212–12-0.0117%22 Aug
debris7–90.0218%22 Aug
nuke11–13-0.0624%16 Aug
dust29–13-0.0110%16 Aug
cache5–13-0.049%16 Aug
vertigo12–12-0.029%16 Aug
train6–13-0.0316%16 Aug
eldorado8–8-0.0423%16 Aug
anubis7–13-0.0319%3 Jul
dust213–6-0.0116%3 Jul
inferno8–13-0.017%3 Jul
nuke2–13-0.0711%3 Jul
mirage7–13-0.036%3 Jul
cache13–20.098%3 Jul
vertigo13–3-0.0218%3 Jul
cache1–80.0112%3 Jul
cache13–50.068%3 Jul
train13–110.0116%1 Jul
ancient13–40.1011%1 Jul
mirage6–130.079%30 Jun
cache13–20.0413%30 Jun
anubis13–60.1110%31 May
inferno6–13-0.0512%31 May
anubis7–130.036%31 May
dust213–3-0.008%24 May
train13–00.075%24 May
vertigo12–12-0.016%24 May
nuke12–120.048%24 May
cache10–13-0.0112%24 May
sanctum4–90.0911%24 May
poseidon9–60.0816%24 May
overpass13–80.058%16 May
nuke13–9-0.0114%16 May
cache12–12-0.026%16 May
dust216–140.0519%16 May
cache2–130.0116%16 May
cache7–13-0.0314%15 May
cache13–4-0.0313%28 Apr
ancient13–70.0121%26 Apr
nuke6–130.088%26 Apr
nuke7–13-0.0014%26 Apr
dust28–13-0.0914%26 Apr
overpass13–90.0210%26 Apr
poseidon8–80.0514%26 Apr
poseidon5–9-0.0319%23 Apr
sanctum5–9-0.029%23 Apr
train12–12-0.0016%23 Apr
train13–8-0.064%23 Apr
vertigo13–30.0213%18 Apr
poseidon9–30.129%18 Apr
warden11–130.0211%28 Mar
office12–12-0.0319%28 Mar
inferno2–13-0.0317%28 Mar
ancient13–80.0810%28 Mar
dust29–130.0013%28 Mar
mirage11–13-0.036%12 Mar
poseidon9–50.1230%12 Mar
dust210–13-0.008%9 Mar
inferno0–3-0.0717%9 Mar
overpass4–13-0.0711%8 Mar
nuke2–12-0.028%8 Mar
dust213–20.0920%8 Mar
poseidon7–9-0.106%28 Feb
vertigo13–5-0.0212%27 Feb

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 →