HEY!! PIRATE KING!!! — CS2 Stats
US76561198039263425[U:1:78997697]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 33.3% | 40.1% | 41.7% | 8.4% short |
| Shot accuracy | 9.6% | 7.6% | 8.8% | above |
| Kill/death ratio | 0.78 | 0.92 | 0.97 | 0.19 short |
| Match win rate | 28.2% | 42.2% | 43.8% | 15.6% short |
This profile matches the typical Blue band player on 1 of 4 comparable metrics.
Widest gap: Match win 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.
Share this profile
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
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp 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 70% playstyle similarity
Most alike: utility contribution, positioning profile.
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
Reaction time. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 55% 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 2.6/10 (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
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 |
|---|---|---|---|---|---|
| office | C | 33 | 13–20 | 39% | -0.00 |
 nuke | A | 17 | 10–7 | 59% | 0.02 |
 mirage | D | 8 | 2–6 | 25% | -0.03 |
 inferno | D | 7 | 1–6 | 14% | -0.03 |
 dust2 | B | 6 | 3–3 | 50% | -0.01 |
 overpass | D | 6 | 1–5 | 17% | -0.01 |
 train | C | 5 | 2–3 | 40% | -0.04 |
 anubis | — | 4 | 3–1 | 75% | -0.07 |
 vertigo | — | 4 | 1–3 | 25% | -0.06 |
 ancient | — | 4 | 3–1 | 75% | -0.01 |
 cache | — | 3 | 1–2 | 33% | -0.02 |
| fachwerk | — | 1 | 1–0 | 100% | -0.04 |
| jura | — | 1 | 0–1 | 0% | -0.07 |
| agency | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). 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 14.2625° — 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 13.0371% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 11–13 | 0.05 | 23% | 4 Aug → | |
| dust2 | 2–13 | -0.05 | 17% | 4 Aug → | |
| anubis | 13–11 | -0.09 | 19% | 27 Jul → | |
| fachwerk | 13–7 | -0.04 | 8% | 14 Jul → | |
| mirage | 6–13 | -0.03 | 14% | 21 Jun → | |
| office | 5–13 | -0.02 | 0% | 21 Jun → | |
| office | 10–13 | 0.04 | 37% | 8 Jun → | |
| dust2 | 5–13 | -0.04 | 6% | 6 Jun → | |
| cache | 3–13 | -0.05 | 3% | 6 Jun → | |
| office | 11–13 | -0.03 | 10% | 6 Jun → | |
| office | 11–13 | -0.01 | 0% | 3 Jun → | |
| nuke | 13–3 | -0.01 | 10% | 2 Jun → | |
| office | 13–7 | 0.01 | 18% | 2 Jun → | |
| nuke | 5–13 | 0.01 | 18% | 1 Jun → | |
| office | 13–7 | 0.00 | 0% | 1 Jun → | |
| vertigo | 13–10 | -0.05 | 22% | 1 Jun → | |
| office | 5–13 | -0.05 | 23% | 30 May → | |
| office | 13–2 | 0.08 | 13% | 29 May → | |
| office | 9–13 | -0.03 | 19% | 29 May → | |
| office | 13–6 | -0.02 | 0% | 27 May → | |
| office | 13–0 | 0.05 | 0% | 26 May → | |
| office | 13–2 | 0.07 | 19% | 25 May → | |
| office | 13–3 | -0.01 | 17% | 25 May → | |
| office | 13–10 | 0.02 | 10% | 25 May → | |
| office | 10–13 | -0.08 | 22% | 24 May → | |
| office | 13–2 | -0.03 | 33% | 11 May → | |
| office | 13–11 | -0.01 | 20% | 8 May → | |
| office | 8–13 | -0.03 | 8% | 8 May → | |
| office | 10–13 | 0.01 | 0% | 8 May → | |
| office | 11–13 | -0.04 | 0% | 7 May → | |
| cache | 4–13 | -0.06 | 0% | 7 May → | |
| cache | 6–1 | 0.05 | 13% | 7 May → | |
| office | 4–13 | -0.06 | 14% | 27 Apr → | |
| office | 13–3 | 0.07 | 30% | 26 Oct → | |
| office | 10–13 | -0.06 | 10% | 24 Oct → | |
| anubis | 13–3 | -0.08 | 19% | 26 Aug → | |
| anubis | 9–0 | -0.04 | 0% | 26 Aug → | |
| office | 10–13 | -0.02 | 0% | 19 Aug → | |
| nuke | 8–13 | 0.07 | 16% | 6 Aug → | |
| overpass | 0–13 | -0.01 | 6% | 6 Aug → | |
| ancient | 4–13 | 0.01 | 5% | 6 Aug → | |
| overpass | 11–13 | -0.03 | 0% | 3 Aug → | |
| inferno | 8–13 | 0.02 | 9% | 3 Aug → | |
| dust2 | 13–8 | 0.01 | 17% | 1 Aug → | |
| office | 10–13 | 0.06 | 7% | 1 Aug → | |
| nuke | 4–13 | -0.04 | 13% | 27 Jul → | |
| inferno | 7–13 | 0.03 | 9% | 27 Jul → | |
| dust2 | 3–13 | -0.04 | 6% | 27 Jul → | |
| office | 5–13 | -0.02 | 7% | 27 Jul → | |
| inferno | 13–6 | -0.07 | 17% | 27 Jul → | |
| nuke | 13–5 | 0.11 | 15% | 25 Jul → | |
| inferno | 3–13 | -0.05 | 8% | 25 Jul → | |
| train | 5–13 | -0.02 | 8% | 25 Jul → | |
| ancient | 13–9 | 0.01 | 10% | 24 Jul → | |
| overpass | 8–13 | -0.05 | 14% | 24 Jul → | |
| train | 13–4 | -0.04 | 5% | 24 Jul → | |
| nuke | 13–10 | 0.01 | 12% | 23 Jul → | |
| dust2 | 8–0 | 0.04 | 6% | 23 Jul → | |
| mirage | 4–13 | -0.03 | 14% | 23 Jul → | |
| overpass | 13–3 | 0.00 | 12% | 23 Jul → | |
| mirage | 10–13 | 0.00 | 10% | 23 Jul → | |
| nuke | 13–10 | -0.03 | 9% | 22 Jul → | |
| overpass | 11–13 | 0.02 | 18% | 22 Jul → | |
| nuke | 13–10 | -0.00 | 17% | 22 Jul → | |
| train | 13–5 | -0.04 | 23% | 18 Jul → | |
| nuke | 7–13 | 0.02 | 15% | 18 Jul → | |
| nuke | 13–6 | 0.04 | 9% | 16 Jul → | |
| office | 8–13 | -0.05 | 50% | 16 Jul → | |
| office | 13–5 | 0.03 | 17% | 15 Jul → | |
| train | 12–12 | -0.06 | 18% | 15 Jul → | |
| vertigo | 6–13 | -0.04 | 7% | 15 Jul → | |
| office | 9–13 | -0.04 | 9% | 15 Jul → | |
| mirage | 10–13 | -0.06 | 8% | 14 Jul → | |
| mirage | 13–6 | -0.04 | 21% | 7 Jul → | |
| ancient | 13–5 | -0.00 | 10% | 7 Jul → | |
| mirage | 3–13 | -0.07 | 3% | 26 Jun → | |
| vertigo | 12–12 | -0.08 | 0% | 26 Jun → | |
| office | 11–13 | -0.02 | 38% | 26 Jun → | |
| vertigo | 7–13 | -0.09 | 18% | 15 Jun → | |
| nuke | 8–13 | -0.03 | 9% | 15 Jun → | |
| inferno | 2–11 | -0.01 | 11% | 15 Jun → | |
| inferno | 5–13 | -0.07 | 10% | 15 Jun → | |
| mirage | 11–1 | 0.00 | 8% | 4 Jun → | |
| nuke | 13–5 | 0.06 | 14% | 4 Jun → | |
| nuke | 11–13 | 0.01 | 8% | 29 May → | |
| nuke | 13–9 | 0.06 | 14% | 29 May → | |
| mirage | 1–13 | -0.02 | 18% | 29 May → | |
| jura | 4–13 | -0.07 | 5% | 26 May → | |
| overpass | 12–12 | -0.01 | 12% | 26 May → | |
| office | 8–13 | -0.04 | 0% | 26 May → | |
| nuke | 13–10 | 0.01 | 16% | 26 May → | |
| anubis | 11–13 | -0.07 | 14% | 25 May → | |
| ancient | 13–8 | -0.06 | 14% | 25 May → | |
| train | 9–13 | -0.04 | 14% | 25 May → | |
| nuke | 12–12 | -0.03 | 21% | 24 May → | |
| agency | 13–4 | -0.01 | 10% | 24 May → | |
| dust2 | 13–10 | -0.00 | 41% | 24 May → | |
| office | 13–6 | 0.07 | 24% | 24 May → | |
| inferno | 9–13 | -0.06 | 12% | 22 May → | |
| nuke | 13–4 | 0.05 | 18% | 22 May → |
Match data via Leetify.
