Starboy Clay — CS2 Stats
76561198066981989[U:1:106716261]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 34.6% | 48.1% | 13.5% short |
| Shot accuracy | 11.3% | 12.9% | 1.5% short |
| Kill/death ratio | 1.11 | 1.08 | above |
| Match win rate | 43.4% | 46.5% | 3.0% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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: -10pp win rate · -0.01 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 b1t 85% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
T-side openings. Opening success drops from 54% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 575ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 26 | 17–9 | 65% | 0.02 | |
| C | 17 | 6–11 | 35% | -0.00 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| S | 12 | 8–4 | 67% | 0.04 | |
| S | 8 | 8–0 | 100% | 0.05 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| — | 4 | 2–2 | 50% | 0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (35% over 17). 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.
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5783° — above the 12° mark we flag
- 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 13.9581% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.01 | 9% | 24 Aug → | ||
| 13–9 | 0.01 | 18% | 24 Aug → | ||
| 13–6 | 0.06 | 15% | 22 Aug → | ||
| 13–9 | 0.04 | 17% | 22 Aug → | ||
| 7–13 | -0.04 | 7% | 22 Aug → | ||
| 13–10 | 0.04 | 23% | 21 Aug → | ||
| 12–16 | 0.01 | 10% | 21 Aug → | ||
| 13–11 | 0.01 | 19% | 19 Aug → | ||
| 13–7 | 0.03 | 32% | 19 Aug → | ||
| 14–16 | -0.01 | 8% | 18 Aug → | ||
| 13–4 | 0.11 | 26% | 16 Aug → | ||
| 9–13 | -0.04 | 13% | 16 Aug → | ||
| 11–13 | -0.05 | 20% | 15 Aug → | ||
| 13–7 | 0.08 | 22% | 15 Aug → | ||
| 13–4 | 0.07 | 14% | 14 Aug → | ||
| 13–7 | 0.02 | 10% | 12 Aug → | ||
| 13–9 | -0.01 | 10% | 12 Aug → | ||
| 13–4 | 0.07 | 11% | 9 Aug → | ||
| 13–6 | 0.01 | 13% | 9 Aug → | ||
| 7–13 | 0.01 | 13% | 8 Aug → | ||
| 13–10 | 0.05 | 14% | 8 Aug → | ||
| 13–11 | 0.04 | 10% | 8 Aug → | ||
| 13–11 | 0.07 | 11% | 8 Aug → | ||
| 11–13 | 0.00 | 16% | 6 Aug → | ||
| 13–6 | 0.10 | 16% | 6 Aug → | ||
| 13–8 | -0.05 | 15% | 3 Aug → | ||
| 13–11 | -0.01 | 10% | 3 Aug → | ||
| 10–13 | -0.00 | 6% | 2 Aug → | ||
| 6–13 | -0.04 | 8% | 2 Aug → | ||
| 13–7 | 0.03 | 10% | 1 Aug → | ||
| 13–9 | 0.00 | 15% | 27 Jul → | ||
| 9–13 | -0.04 | 7% | 27 Jul → | ||
| 13–5 | 0.02 | 20% | 26 Jul → | ||
| 13–3 | 0.10 | 26% | 25 Jul → | ||
| 13–6 | 0.08 | 14% | 25 Jul → | ||
| 4–13 | 0.05 | 20% | 25 Jul → | ||
| 13–1 | 0.12 | 0% | 25 Jul → | ||
| 13–3 | 0.11 | 10% | 21 Jul → | ||
| 11–0 | 0.18 | 30% | 21 Jul → | ||
| 13–7 | 0.00 | 12% | 20 Jul → | ||
| 4–13 | -0.02 | 14% | 19 Jul → | ||
| 5–13 | 0.01 | 11% | 19 Jul → | ||
| 13–4 | 0.23 | 13% | 19 Jul → | ||
| 4–13 | -0.03 | 16% | 18 Jul → | ||
| 13–8 | -0.02 | 14% | 17 Jul → | ||
| 13–10 | -0.03 | 10% | 16 Jul → | ||
| 13–9 | -0.01 | 10% | 15 Jul → | ||
| 13–5 | 0.05 | 20% | 14 Jul → | ||
| 13–11 | 0.15 | 18% | 14 Jul → | ||
| 9–13 | -0.01 | 21% | 14 Jul → | ||
| 14–16 | -0.03 | 10% | 13 Jul → | ||
| 11–13 | 0.03 | 17% | 13 Jul → | ||
| 13–5 | 0.10 | 18% | 13 Jul → | ||
| 13–10 | -0.05 | 12% | 13 Jul → | ||
| 13–4 | -0.05 | 6% | 12 Jul → | ||
| 15–15 | 0.05 | 11% | 12 Jul → | ||
| 13–7 | 0.07 | 13% | 12 Jul → | ||
| 13–5 | 0.08 | 22% | 12 Jul → | ||
| 13–5 | 0.04 | 14% | 12 Jul → | ||
| 13–6 | 0.01 | 12% | 10 Jul → | ||
| 11–13 | -0.06 | 11% | 9 Jul → | ||
| 13–11 | -0.03 | 8% | 6 Jul → | ||
| 13–8 | 0.06 | 15% | 6 Jul → | ||
| 13–6 | 0.04 | 15% | 5 Jul → | ||
| 13–10 | 0.02 | 15% | 5 Jul → | ||
| 8–13 | 0.00 | 15% | 5 Jul → | ||
| 8–0 | 0.11 | 7% | 5 Jul → | ||
| 8–13 | 0.03 | 9% | 5 Jul → | ||
| 13–6 | -0.03 | 17% | 5 Jul → | ||
| 13–3 | 0.02 | 12% | 5 Jul → | ||
| 10–13 | -0.03 | 17% | 5 Jul → | ||
| 10–13 | -0.01 | 15% | 4 Jul → | ||
| 16–14 | 0.02 | 23% | 4 Jul → | ||
| 7–13 | -0.07 | 14% | 4 Jul → | ||
| 11–13 | -0.06 | 12% | 4 Jul → | ||
| 11–13 | -0.01 | 5% | 1 Jul → | ||
| 10–13 | -0.06 | 14% | 30 Jun → | ||
| 7–13 | -0.02 | 14% | 30 Jun → | ||
| 13–8 | 0.05 | 7% | 30 Jun → | ||
| 6–13 | 0.00 | 14% | 29 Jun → | ||
| 6–13 | -0.01 | 10% | 29 Jun → | ||
| 6–13 | -0.03 | 18% | 27 Jun → | ||
| 15–15 | 0.01 | 17% | 27 Jun → | ||
| 13–5 | 0.05 | 30% | 27 Jun → | ||
| 13–9 | 0.04 | 12% | 27 Jun → | ||
| 6–13 | -0.01 | 17% | 27 Jun → | ||
| 7–13 | -0.00 | 13% | 26 Jun → | ||
| 13–10 | -0.00 | 9% | 26 Jun → | ||
| 5–13 | -0.06 | 9% | 26 Jun → | ||
| 10–0 | 0.09 | 0% | 25 Jun → | ||
| 13–7 | -0.00 | 14% | 23 Jun → | ||
| 9–13 | -0.01 | 16% | 23 Jun → | ||
| 9–13 | 0.01 | 14% | 22 Jun → | ||
| 2–0 | -0.04 | 0% | 22 Jun → | ||
| 10–13 | -0.06 | 19% | 21 Jun → | ||
| 10–13 | 0.08 | 15% | 21 Jun → | ||
| 13–4 | 0.01 | 14% | 21 Jun → | ||
| 2–13 | -0.01 | 9% | 21 Jun → | ||
| 13–2 | 0.02 | 20% | 21 Jun → | ||
| 7–13 | -0.07 | 11% | 21 Jun → |
Match data via Leetify.