BillBallBull — CS2 Stats
76561197981457323[U:1:21191595]✓ No bans
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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.
| Metric | This player | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 42.0% | 42.5% | 44.2% | 2.2% short |
| Shot accuracy | 20.1% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.01 | 0.99 | 1.04 | 0.02 short |
| Match win rate | 41.6% | 44.2% | 45.3% | 3.7% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.00 avg rating
Player DNA
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
Plays most like NiKo 86% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: 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. 666ms 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
Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
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
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | C | 36 | 14–22 | 39% | 0.01 |
 nuke | A | 14 | 8–6 | 57% | -0.01 |
 inferno | D | 12 | 4–8 | 33% | -0.02 |
 mirage | C | 11 | 4–7 | 36% | -0.01 |
 cache | C | 8 | 3–5 | 38% | -0.01 |
 anubis | C | 5 | 2–3 | 40% | -0.04 |
 ancient | C | 5 | 2–3 | 40% | -0.04 |
| office | — | 4 | 2–2 | 50% | -0.01 |
 vertigo | — | 2 | 1–1 | 50% | 0.02 |
 train | — | 2 | 1–1 | 50% | 0.03 |
| stronghold | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 2 | 50% | 1.28 | 21.5 |
| Mirage | 2 | 50% | 1.48 | 16.0 |
| Ancient | 2 | 50% | 0.74 | 16.0 |
| Dust2 | 2 | 0% | 1.06 | 16.5 |
| Overpass | 1 | 0% | 1.00 | 19.0 |
| Anubis | 1 | 100% | 1.67 | 15.0 |
| Inferno | 1 | 0% | 0.64 | 9.0 |
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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.6987% — below the 15% mark we flag
- 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 37.7378% — below the 40% mark we flag
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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 12–12 | 0.06 | 13% | 29 Aug → | |
| dust2 | 13–7 | 0.05 | 14% | 29 Aug → | |
| inferno | 11–13 | -0.05 | 13% | 23 Aug → | |
| dust2 | 13–6 | 0.05 | 16% | 22 Aug → | |
| nuke | 11–13 | -0.03 | 11% | 22 Aug → | |
| anubis | 4–13 | -0.06 | 9% | 15 Aug → | |
| inferno | 12–9 | -0.04 | 10% | 15 Aug → | |
| mirage | 11–13 | 0.03 | 32% | 15 Aug → | |
| dust2 | 4–13 | -0.12 | 12% | 12 Aug → | |
| dust2 | 5–13 | -0.03 | 20% | 12 Aug → | |
| nuke | 13–9 | -0.01 | 18% | 10 Aug → | |
| inferno | 11–13 | -0.03 | 23% | 10 Aug → | |
| dust2 | 11–13 | -0.00 | 12% | 9 Aug → | |
| nuke | 13–10 | -0.01 | 16% | 9 Aug → | |
| dust2 | 7–13 | 0.00 | 24% | 9 Aug → | |
| dust2 | 4–13 | -0.01 | 8% | 9 Aug → | |
| inferno | 4–13 | -0.05 | 27% | 8 Aug → | |
| mirage | 13–8 | 0.02 | 9% | 8 Aug → | |
| nuke | 13–5 | -0.05 | 13% | 8 Aug → | |
| dust2 | 13–5 | -0.06 | 8% | 8 Aug → | |
| nuke | 3–13 | 0.13 | 11% | 8 Aug → | |
| mirage | 13–4 | 0.05 | 24% | 8 Aug → | |
| inferno | 13–16 | -0.05 | 13% | 7 Aug → | |
| nuke | 13–10 | 0.05 | 17% | 5 Aug → | |
| nuke | 6–13 | -0.09 | 13% | 4 Aug → | |
| vertigo | 12–12 | -0.00 | 8% | 3 Aug → | |
| train | 3–7 | 0.02 | 25% | 3 Aug → | |
| inferno | 3–13 | -0.08 | 5% | 3 Aug → | |
| dust2 | 13–10 | -0.03 | 13% | 3 Aug → | |
| mirage | 12–12 | -0.04 | 9% | 2 Aug → | |
| dust2 | 8–13 | 0.05 | 21% | 2 Aug → | |
| mirage | 4–13 | -0.10 | 3% | 26 Jul → | |
| inferno | 12–12 | -0.03 | 7% | 26 Jul → | |
| dust2 | 2–13 | -0.08 | 14% | 26 Jul → | |
| dust2 | 11–13 | -0.04 | 21% | 25 Jul → | |
| ancient | 4–13 | -0.03 | 16% | 21 Jul → | |
| office | 10–13 | -0.01 | 13% | 19 Jul → | |
| anubis | 13–4 | -0.04 | 13% | 19 Jul → | |
| nuke | 10–13 | 0.01 | 15% | 19 Jul → | |
| dust2 | 12–12 | 0.06 | 27% | 19 Jul → | |
| dust2 | 13–3 | 0.06 | 19% | 14 Jul → | |
| dust2 | 11–13 | -0.01 | 16% | 12 Jul → | |
| dust2 | 13–6 | 0.08 | 17% | 12 Jul → | |
| anubis | 9–13 | -0.05 | 4% | 12 Jul → | |
| ancient | 11–13 | -0.04 | 14% | 11 Jul → | |
| dust2 | 12–12 | 0.01 | 15% | 11 Jul → | |
| mirage | 1–13 | -0.05 | 19% | 11 Jul → | |
| dust2 | 11–13 | -0.04 | 13% | 10 Jul → | |
| dust2 | 13–11 | -0.03 | 11% | 7 Jul → | |
| ancient | 11–13 | -0.06 | 15% | 5 Jul → | |
| dust2 | 7–13 | -0.01 | 17% | 5 Jul → | |
| ancient | 13–7 | -0.00 | 22% | 4 Jul → | |
| office | 13–10 | 0.00 | 11% | 4 Jul → | |
| nuke | 8–13 | -0.05 | 13% | 4 Jul → | |
| dust2 | 13–2 | 0.06 | 14% | 4 Jul → | |
| cache | 3–13 | -0.01 | 21% | 1 Jul → | |
| dust2 | 10–13 | 0.03 | 14% | 1 Jul → | |
| cache | 13–6 | 0.04 | 22% | 28 Jun → | |
| dust2 | 3–13 | -0.09 | 10% | 28 Jun → | |
| ancient | 13–6 | -0.06 | 23% | 27 Jun → | |
| dust2 | 13–3 | 0.07 | 10% | 27 Jun → | |
| inferno | 13–11 | 0.02 | 15% | 21 Jun → | |
| dust2 | 9–13 | -0.01 | 18% | 20 Jun → | |
| anubis | 12–12 | -0.02 | 3% | 31 May → | |
| dust2 | 13–11 | 0.05 | 16% | 31 May → | |
| cache | 8–13 | -0.05 | 12% | 30 May → | |
| vertigo | 13–5 | 0.05 | 13% | 30 May → | |
| nuke | 13–9 | -0.04 | 15% | 30 May → | |
| mirage | 5–13 | 0.01 | 19% | 29 May → | |
| nuke | 13–8 | -0.01 | 23% | 29 May → | |
| inferno | 5–13 | -0.03 | 21% | 28 May → | |
| cache | 13–4 | -0.05 | 2% | 24 May → | |
| mirage | 7–13 | -0.07 | 9% | 18 May → | |
| cache | 4–13 | -0.05 | 8% | 17 May → | |
| dust2 | 13–4 | 0.00 | 14% | 17 May → | |
| inferno | 9–13 | -0.01 | 16% | 17 May → | |
| cache | 9–13 | 0.05 | 18% | 10 May → | |
| cache | 10–13 | -0.05 | 16% | 2 May → | |
| cache | 13–1 | 0.01 | 16% | 2 May → | |
| stronghold | 10–13 | 0.02 | 13% | 30 Apr → | |
| office | 13–7 | 0.00 | 22% | 30 Apr → | |
| dust2 | 13–10 | 0.00 | 13% | 26 Apr → | |
| inferno | 13–5 | 0.07 | 13% | 26 Apr → | |
| mirage | 13–4 | 0.03 | 10% | 26 Apr → | |
| inferno | 13–1 | 0.04 | 22% | 25 Apr → | |
| dust2 | 2–13 | -0.01 | 16% | 23 Apr → | |
| nuke | 6–13 | -0.05 | 16% | 3 Apr → | |
| dust2 | 9–13 | 0.01 | 15% | 3 Apr → | |
| nuke | 13–1 | 0.03 | 4% | 29 Mar → | |
| dust2 | 12–12 | 0.08 | 15% | 29 Mar → | |
| dust2 | 9–13 | -0.03 | 5% | 22 Mar → | |
| mirage | 13–11 | 0.05 | 11% | 22 Mar → | |
| dust2 | 4–13 | 0.00 | 9% | 19 Mar → | |
| anubis | 13–10 | -0.01 | 8% | 17 Mar → | |
| dust2 | 13–7 | 0.08 | 13% | 17 Mar → | |
| train | 13–10 | 0.04 | 10% | 16 Mar → | |
| office | 5–13 | -0.03 | 14% | 15 Mar → | |
| nuke | 13–8 | 0.01 | 22% | 15 Mar → | |
| dust2 | 13–0 | 0.14 | 19% | 15 Mar → | |
| mirage | 12–12 | -0.02 | 11% | 15 Mar → |
Match data via Leetify.