BigBilly

BigBilly — CS2 Stats

76561198160763433[U:1:200497705]Steam profile ↗

866Tracked matches41%Win rate2020Tracked since
7,887Hours in CS1Hrs last 2 wks
CSDB Rating3.6 Learning
Premier CS Rating7,369Light Blue band · top ~67.5% of ranked players (population est.)
CSDB Leaderboard#38201 of 51026 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.6%39.7%41.4%7.9% short
Shot accuracy14.3%6.7%9.0%above
Kill/death ratio1.030.910.97above
Match win rate39.8%42.1%43.7%3.9% short

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

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

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CSDB.GGBigBillyPREMIER7,369 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning43
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLWWLLLLWWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim4.1
Aggression5.5
Utility5.6
Positioning4.3
Opening Duels0.8

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 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 696ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.1
Positioning4.3
Utility5.6
Mechanics4.8
Opening Duels1.6
Win Impact2.1

Composite 3.6/10 (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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time698ms+4ms
first ⅓ avg 693ms → last ⅓ avg 698ms
Headshot accuracy15.3%+1.9%
first ⅓ avg 13.5% → last ⅓ avg 15.3%

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

0.08Best rating — mirage 11–13
130Biggest win — mirage
5Longest win streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B26141254%-0.04
mirageC1871139%-0.03
cacheD1851328%-0.04
anubisA116555%-0.02
nukeC83538%-0.02
infernoD61517%-0.01
ancientS64267%-0.02
overpassA53260%-0.00
vertigo21150%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,034Lifetime kills
1.03K/D · Top 25% of Light Blue band
3,382Matches
39.8%Match win rate
33.6%Headshot %
14.3%Shot accuracy · Top 25% of Light Blue band
6,035MVPs
1,289Hours (in match)
2,504Bombs planted
755Bombs defused

Most-used weapons

AK-4718,807
AWP7,734
MP72,105
P901,683
FAMAS1,290
Tec-91,173

Lifetime map wins

5,589dust2
3,252inferno
1,859nuke
1,702vertigo
560train
323cbble
298office
109dust

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.

15.9%Headshot accuracy
30.5%Accuracy (enemy spotted)
30.9%Spray accuracy
71.4%Counter-strafing
9.1°Preaim
696msReaction time
23.8%T opening success
43.0%CT opening success
0.57Enemies flashed / flash
6.5%Flash assists
13.28HE damage / grenade
8.10Flashes / 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 23.7573% — 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.

17% 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
inferno8–130.0013%27 Aug
anubis13–7-0.019%10 Aug
mirage13–00.0416%10 Aug
dust28–13-0.0622%10 Aug
nuke7–13-0.0410%10 Aug
dust211–13-0.0014%2 Aug
ancient5–13-0.0313%24 Jul
dust216–120.0211%24 Jul
anubis13–30.034%23 Jul
dust210–13-0.0530%23 Jul
cache9–130.0316%19 Jul
inferno15–150.0220%19 Jul
inferno13–90.0020%18 Jul
dust20–8-0.0610%18 Jul
dust213–8-0.0112%18 Jul
cache9–13-0.0418%17 Jul
cache13–10.0330%17 Jul
dust213–2-0.0326%17 Jul
ancient10–13-0.036%16 Jul
anubis13–90.0017%16 Jul
cache10–13-0.0125%16 Jul
dust213–5-0.0012%16 Jul
nuke13–60.0415%16 Jul
cache1–13-0.0821%15 Jul
inferno10–13-0.0119%15 Jul
anubis7–130.015%15 Jul
mirage11–130.0820%15 Jul
mirage13–6-0.0324%15 Jul
cache9–13-0.035%15 Jul
cache11–13-0.0415%14 Jul
dust213–3-0.059%14 Jul
nuke8–13-0.049%12 Jul
dust28–13-0.0111%12 Jul
mirage1–13-0.0823%12 Jul
cache15–15-0.0511%11 Jul
anubis9–13-0.016%11 Jul
cache10–13-0.0314%11 Jul
dust213–8-0.0516%11 Jul
vertigo6–13-0.0121%11 Jul
cache9–130.0116%11 Jul
dust29–13-0.089%11 Jul
nuke7–13-0.0219%11 Jul
inferno14–16-0.0413%11 Jul
dust213–4-0.0010%11 Jul
cache13–11-0.0313%11 Jul
cache6–13-0.118%10 Jul
mirage11–13-0.0516%10 Jul
cache5–130.0021%10 Jul
anubis13–11-0.069%10 Jul
dust26–13-0.095%9 Jul
cache13–7-0.0224%9 Jul
mirage13–11-0.055%9 Jul
dust25–130.004%9 Jul
dust213–10-0.098%6 Jul
overpass15–150.0217%6 Jul
cache1–13-0.0913%6 Jul
mirage5–13-0.0423%5 Jul
ancient13–110.0315%5 Jul
anubis13–100.0113%4 Jul
dust27–4-0.120%3 Jul
dust211–13-0.0215%2 Jul
nuke13–3-0.0226%1 Jul
dust213–8-0.0313%1 Jul
mirage13–3-0.045%1 Jul
nuke2–13-0.0418%29 Jun
vertigo13–20.0128%26 Jun
cache13–5-0.050%26 Jun
ancient13–11-0.048%26 Jun
mirage7–13-0.0216%26 Jun
anubis10–13-0.0218%26 Jun
dust215–15-0.039%24 Jun
dust213–4-0.0121%23 Jun
mirage13–80.0222%23 Jun
overpass13–30.0213%23 Jun
mirage8–13-0.088%21 Jun
dust29–13-0.0717%20 Jun
cache8–1-0.0120%20 Jun
mirage9–130.0019%19 Jun
overpass13–80.049%19 Jun
mirage8–13-0.0414%19 Jun
dust24–13-0.0415%17 Jun
mirage11–13-0.0312%17 Jun
dust213–20.0120%15 Jun
overpass16–14-0.0021%15 Jun
mirage8–13-0.0817%15 Jun
overpass7–13-0.087%5 May
anubis7–13-0.0612%5 May
nuke7–13-0.046%5 May
ancient13–6-0.036%5 May
mirage16–140.0210%3 May
dust213–11-0.0211%2 May
anubis5–13-0.0213%2 May
inferno7–13-0.0219%2 May
cache3–13-0.094%29 Apr
nuke13–6-0.0415%28 Apr
ancient13–10-0.0413%28 Apr
mirage13–5-0.0216%28 Apr
anubis13–4-0.063%28 Apr
dust213–5-0.0216%28 Apr
mirage6–13-0.0815%28 Apr

Match data via Leetify.

Recent teammates

Milestones

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