Billy

Billy — CS2 Stats

76561198220278781[U:1:260013053]Steam profile ↗✓ No bans

1,026Tracked matches59%Win rate2022Tracked since
954Hours in CS27Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating12,070Blue band · top ~43.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,070 -161 18 May – 16 Oct · 16 days played
10,65612,231peak 12,23118 May16 Oct
12,231Peak Premier in tracked matches
641Highest Faceit ELO seen on CSDB
35Days played since 2026-05-17

Faceit ELO

  • At peak — 641
  • Next: Level 3 at 751 — 110 to go
  • Reached: Level 2

Premier CS Rating

  • 161 below peak (12,231)
  • Next: Purple band at 15,000 — 2,930 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate41.5%42.0%44.3%2.9% short
Shot accuracy5.9%9.6%11.9%6.0% short
Kill/death ratio0.990.981.030.04 short
Match win rate46.3%43.8%45.2%above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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.

Share this profile

CSDB.GGBillyPREMIER12,070 · Blue bandPEAK ELO641csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning53
Utility49

0–100 skill scores via Leetify.

Recent form

HOT39–51–10Last 10039%Win rateWLWWLWWWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.8pp headshot accuracy · −95ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 514ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 567ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 615ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim5.8
Utility4.9
Positioning5.3
Opening Duels2.5
Clutch2.0

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 588ms 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

Aim5.8
Positioning5.3
Utility4.9
Mechanics5.4
Opening Duels3.7
Win Impact7.9

Composite 5.2/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time599ms−27ms
first ⅓ avg 627ms → last ⅓ avg 599ms
Headshot accuracy14.5%−1.2%
first ⅓ avg 15.7% → last ⅓ avg 14.5%

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

0.17Best match rating · 9–4 · inferno, 15 Oct →
43%Best headshot accuracy · 9–6 · inferno, 11 Jun →
391msFastest reaction time · 9–1 · inferno, 16 Oct →
13–1Biggest win · nuke, 12 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 55% over 11ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC3714–2338%-0.01
dust2C176–1135%-0.01
nukeC145–936%-0.00
cacheA116–555%-0.01
ancientD61–517%0.03
mirage—42–250%-0.01
overpass—41–325%-0.01
anubis—32–167%-0.01
train—22–0100%0.11
vertigo—20–20%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

23,731Lifetime kills
0.99K/D · Top 50% of Blue band
1,530Matches
46.3%Match win rate · Top 50% of Blue band
41.5%Headshot %
5.9%Shot accuracy
3,880MVPs
507Hours (in match)
1,277Bombs planted
425Bombs defused

Most-used weapons

Lifetime map wins

2,733inferno
2,178dust2
1,880nuke
477train
210vertigo
87office
30lake
24assault

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

Faceit stats

Combat

44Matches
36%Win rate
1.18Avg K/D
83.8ADR
43%Headshot %

Clutches & streaks

30%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1136%1.5413.9
Inferno1050%1.1116.2
Dust2911%0.9310.6
Nuke425%1.1825.0
Anubis250%1.5219.5
Cache2100%1.3821.0
Ancient1100%1.3316.0
Train1100%1.7319.0

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.

14.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.1%Spray accuracy
74.2%Counter-strafing
11.0°Preaim
588msReaction time
52.6%T opening success
36.9%CT opening success
0.58Enemies flashed / flash
4.1%Flash assists
6.57HE damage / grenade
9.93Flashes / 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. 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 14.4718% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.9405% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–60.0310%16 Oct →
inferno1–9-0.113%16 Oct →
dust213–70.0816%16 Oct →
inferno9–10.1632%16 Oct →
dust211–13-0.0218%15 Oct →
inferno9–40.177%15 Oct →
dust216–12-0.0020%14 Oct →
cache13–8-0.0213%14 Oct →
nuke11–13-0.048%12 Oct →
nuke13–10-0.0314%12 Oct →
dust29–13-0.0417%12 Oct →
nuke13–10.108%12 Oct →
nuke10–13-0.0010%12 Oct →
cache13–80.0313%12 Oct →
inferno13–70.0222%12 Oct →
inferno5–90.0228%12 Oct →
nuke9–40.109%11 Oct →
dust25–13-0.0314%11 Oct →
anubis13–10-0.0822%11 Oct →
cache13–11-0.0116%11 Oct →
ancient4–130.0221%11 Oct →
dust28–13-0.0213%11 Oct →
ancient9–13-0.019%10 Oct →
mirage7–13-0.0114%10 Oct →
dust29–130.0811%10 Oct →
dust25–13-0.0217%10 Oct →
train13–60.1118%10 Oct →
inferno9–60.0611%9 Oct →
inferno13–40.1311%9 Oct →
train13–30.1027%9 Oct →
cache13–7-0.058%9 Oct →
dust211–13-0.0512%8 Oct →
cache13–8-0.049%8 Oct →
inferno7–9-0.0511%7 Oct →
ancient15–150.048%7 Oct →
nuke9–70.0024%7 Oct →
inferno8–80.0019%6 Oct →
inferno13–110.0210%5 Oct →
inferno6–9-0.0316%5 Oct →
inferno13–70.0520%4 Oct →
dust213–4-0.0324%4 Oct →
dust211–130.0125%4 Oct →
nuke9–13-0.0315%4 Oct →
inferno9–70.047%4 Oct →
inferno2–9-0.2218%4 Oct →
inferno9–130.0011%1 Oct →
dust25–130.0115%1 Oct →
inferno8–80.0821%30 Sept →
ancient11–130.0021%30 Sept →
dust211–13-0.0324%29 Sept →
inferno0–9-0.1822%29 Sept →
dust213–10-0.0313%29 Sept →
inferno13–9-0.0220%29 Sept →
inferno13–11-0.0426%29 Sept →
anubis5–13-0.0420%29 Sept →
dust213–8-0.0413%29 Sept →
inferno8–13-0.0713%29 Sept →
dust213–9-0.0118%29 Sept →
nuke8–8-0.048%28 Sept →
inferno3–9-0.1122%28 Sept →
inferno9–70.1032%24 Sept →
ancient13–30.0520%24 Sept →
nuke4–13-0.0430%19 Sept →
mirage13–7-0.0129%19 Sept →
dust24–13-0.0710%17 Sept →
nuke3–9-0.129%17 Sept →
anubis13–40.0915%17 Sept →
inferno6–9-0.0012%13 Sept →
inferno6–9-0.115%11 Sept →
inferno8–8-0.0710%11 Sept →
overpass8–8-0.0214%10 Sept →
cache8–130.0513%10 Sept →
nuke6–9-0.0718%31 Jul →
overpass7–90.0119%31 Jul →
cache4–13-0.0520%18 Jul →
inferno6–90.038%17 Jul →
inferno8–80.1519%21 Jun →
inferno8–80.1317%21 Jun →
inferno3–9-0.1511%14 Jun →
inferno6–9-0.029%14 Jun →
mirage10–13-0.0211%12 Jun →
overpass13–70.0727%12 Jun →
inferno9–60.0243%11 Jun →
nuke8–8-0.0117%11 Jun →
ancient10–130.1110%7 Jun →
mirage13–11-0.0216%7 Jun →
cache13–50.0810%7 Jun →
inferno1–9-0.1918%7 Jun →
inferno1–130.0033%31 May →
vertigo8–80.0316%31 May →
cache7–13-0.0418%30 May →
inferno4–130.0211%26 May →
nuke9–20.1121%26 May →
vertigo6–9-0.075%26 May →
inferno4–9-0.1417%18 May →
overpass2–9-0.0911%18 May →
inferno9–6-0.017%18 May →
nuke7–130.0223%18 May →
cache8–13-0.039%18 May →
cache9–13-0.0220%17 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.