ʚïɞnspectBILLY — CS2 Stats
BR76561198076463657[U:1:116197929]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 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 75% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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. 680ms 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
Composite 2.9/10 (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
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 |
|---|---|---|---|---|---|
| B | 30 | 15–15 | 50% | -0.02 | |
| C | 20 | 8–12 | 40% | -0.02 | |
| A | 16 | 10–6 | 63% | -0.02 | |
| D | 12 | 2–10 | 17% | -0.04 | |
| D | 12 | 2–10 | 17% | -0.02 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Dust 2 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.
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 12.0741% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4147 — below the 0.5 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 30.9162% — 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.
17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.00 | 20% | 5 Jul → | ||
| 13–6 | 0.01 | 16% | 5 Jul → | ||
| 13–10 | 0.04 | 7% | 4 Jul → | ||
| 5–13 | -0.09 | 8% | 4 Jul → | ||
| 13–11 | -0.01 | 10% | 4 Jul → | ||
| 13–11 | 0.01 | 19% | 4 Jul → | ||
| 8–13 | -0.05 | 6% | 4 Jul → | ||
| 13–16 | -0.07 | 16% | 3 Jul → | ||
| 7–13 | -0.03 | 14% | 2 Jul → | ||
| 13–9 | -0.00 | 14% | 2 Jul → | ||
| 14–16 | -0.00 | 23% | 29 Jun → | ||
| 13–10 | -0.02 | 11% | 29 Jun → | ||
| 15–15 | 0.05 | 13% | 29 Jun → | ||
| 13–4 | 0.00 | 11% | 28 Jun → | ||
| 15–15 | -0.04 | 7% | 20 Jun → | ||
| 13–16 | -0.02 | 17% | 16 Jun → | ||
| 13–9 | -0.08 | 6% | 16 Jun → | ||
| 13–2 | 0.06 | 6% | 15 Jun → | ||
| 13–10 | -0.02 | 9% | 15 Jun → | ||
| 13–3 | 0.04 | 14% | 15 Jun → | ||
| 6–13 | -0.03 | 12% | 15 Jun → | ||
| 11–13 | -0.02 | 12% | 14 Jun → | ||
| 3–13 | 0.02 | 12% | 14 Jun → | ||
| 6–13 | 0.01 | 3% | 14 Jun → | ||
| 11–13 | -0.03 | 4% | 14 Jun → | ||
| 13–11 | -0.06 | 18% | 14 Jun → | ||
| 4–13 | -0.11 | 6% | 7 Jun → | ||
| 8–13 | -0.04 | 13% | 7 Jun → | ||
| 0–13 | -0.04 | 9% | 7 Jun → | ||
| 6–13 | -0.01 | 19% | 7 Jun → | ||
| 11–13 | -0.03 | 15% | 6 Jun → | ||
| 3–13 | -0.05 | 22% | 2 Jun → | ||
| 13–10 | -0.04 | 13% | 1 Jun → | ||
| 9–13 | -0.01 | 22% | 1 Jun → | ||
| 13–10 | -0.07 | 10% | 1 Jun → | ||
| 13–16 | -0.04 | 14% | 31 May → | ||
| 13–7 | -0.07 | 8% | 31 May → | ||
| 13–8 | 0.05 | 2% | 27 May → | ||
| 2–13 | -0.06 | 11% | 27 May → | ||
| 13–9 | -0.04 | 6% | 23 May → | ||
| 13–16 | -0.02 | 6% | 23 May → | ||
| 9–13 | -0.00 | 7% | 23 May → | ||
| 2–13 | -0.00 | 9% | 23 May → | ||
| 6–13 | -0.06 | 10% | 23 May → | ||
| 3–13 | -0.07 | 10% | 23 May → | ||
| 16–13 | 0.04 | 17% | 22 May → | ||
| 13–9 | -0.06 | 8% | 22 May → | ||
| 12–16 | -0.07 | 7% | 18 May → | ||
| 10–13 | -0.03 | 9% | 18 May → | ||
| 3–13 | -0.05 | 24% | 18 May → | ||
| 3–13 | -0.05 | 10% | 17 May → | ||
| 2–13 | -0.08 | 9% | 17 May → | ||
| 7–13 | -0.03 | 19% | 17 May → | ||
| 10–13 | -0.03 | 9% | 17 May → | ||
| 13–4 | -0.01 | 12% | 17 May → | ||
| 13–11 | -0.05 | 5% | 17 May → | ||
| 13–11 | -0.04 | 6% | 16 May → | ||
| 13–1 | 0.03 | 14% | 16 May → | ||
| 11–13 | -0.05 | 17% | 16 May → | ||
| 13–9 | -0.02 | 7% | 15 May → | ||
| 8–13 | 0.03 | 11% | 15 May → | ||
| 7–13 | -0.01 | 12% | 15 May → | ||
| 16–13 | -0.01 | 7% | 15 May → | ||
| 13–11 | -0.02 | 4% | 5 Apr → | ||
| 9–13 | 0.02 | 21% | 5 Apr → | ||
| 7–13 | -0.01 | 13% | 28 Mar → | ||
| 4–13 | -0.03 | 15% | 28 Mar → | ||
| 5–13 | -0.04 | 10% | 28 Mar → | ||
| 13–9 | -0.01 | 20% | 27 Mar → | ||
| 13–6 | 0.09 | 11% | 27 Mar → | ||
| 14–16 | -0.05 | 6% | 23 Mar → | ||
| 13–10 | 0.00 | 13% | 23 Mar → | ||
| 9–13 | 0.01 | 24% | 18 Mar → | ||
| 11–13 | -0.04 | 14% | 18 Mar → | ||
| 13–8 | 0.11 | 15% | 18 Mar → | ||
| 8–13 | -0.01 | 15% | 9 Mar → | ||
| 9–13 | -0.06 | 14% | 4 Mar → | ||
| 13–2 | -0.01 | 19% | 4 Mar → | ||
| 6–13 | -0.08 | 16% | 4 Mar → | ||
| 9–13 | -0.10 | 11% | 4 Mar → | ||
| 13–7 | -0.03 | 6% | 3 Mar → | ||
| 11–13 | -0.03 | 13% | 17 Feb → | ||
| 13–10 | 0.02 | 8% | 17 Feb → | ||
| 13–9 | -0.07 | 15% | 17 Feb → | ||
| 11–13 | 0.01 | 8% | 17 Feb → | ||
| 1–4 | 0.02 | 0% | 9 Feb → | ||
| 3–13 | -0.04 | 22% | 8 Feb → | ||
| 7–13 | -0.04 | 3% | 7 Feb → | ||
| 13–6 | -0.03 | 10% | 30 Jan → | ||
| 9–13 | 0.03 | 9% | 30 Jan → | ||
| 13–11 | -0.05 | 16% | 24 Jan → | ||
| 2–13 | -0.06 | 7% | 24 Jan → | ||
| 13–9 | -0.02 | 9% | 24 Jan → | ||
| 10–14 | -0.05 | 12% | 17 Jan → | ||
| 13–4 | 0.05 | 16% | 11 Jan → | ||
| 15–15 | 0.06 | 16% | 10 Jan → | ||
| 13–8 | 0.01 | 17% | 10 Jan → | ||
| 13–10 | -0.02 | 16% | 10 Jan → | ||
| 11–13 | -0.05 | 9% | 9 Jan → | ||
| 11–13 | -0.06 | 11% | 9 Jan → |
Match data via Leetify.
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