Seaman of Huh — CS2 Stats
76561198116804268[U:1:156538540]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 38.1% | 42.1% | 42.5% | 4.3% short |
| Shot accuracy | 14.7% | 12.1% | 10.9% | above |
| Kill/death ratio | 0.91 | 0.99 | 0.99 | 0.09 short |
| Match win rate | 46.0% | 43.9% | 44.2% | above |
This profile matches the typical Level 4 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 4 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: +0pp 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 71% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 681ms 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 4.0/10 (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 |
|---|---|---|---|---|---|
| C | 30 | 12–18 | 40% | -0.01 | |
| B | 26 | 13–13 | 50% | -0.00 | |
| C | 17 | 7–10 | 41% | -0.01 | |
| A | 11 | 7–4 | 64% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Mirage 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 13.9177% — 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 0.3989 — 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 21.3459% — 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.
40% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.04 | 15% | 29 Aug → | ||
| 13–3 | -0.01 | 10% | 29 Aug → | ||
| 11–13 | -0.04 | 14% | 29 Aug → | ||
| 8–13 | -0.05 | 8% | 28 Aug → | ||
| 13–16 | -0.01 | 13% | 28 Aug → | ||
| 13–8 | 0.05 | 17% | 24 Aug → | ||
| 1–6 | 0.01 | 0% | 22 Aug → | ||
| 5–13 | -0.03 | 11% | 22 Aug → | ||
| 13–8 | 0.01 | 25% | 22 Aug → | ||
| 6–13 | -0.10 | 2% | 22 Aug → | ||
| 11–13 | 0.02 | 12% | 22 Aug → | ||
| 10–13 | -0.02 | 18% | 22 Aug → | ||
| 4–13 | -0.11 | 17% | 15 Aug → | ||
| 7–13 | -0.03 | 11% | 15 Aug → | ||
| 16–13 | 0.01 | 12% | 15 Aug → | ||
| 4–13 | -0.05 | 10% | 14 Aug → | ||
| 3–13 | -0.04 | 8% | 14 Aug → | ||
| 13–5 | -0.02 | 15% | 14 Aug → | ||
| 10–13 | 0.01 | 8% | 8 Aug → | ||
| 13–4 | 0.05 | 11% | 8 Aug → | ||
| 1–13 | -0.07 | 29% | 8 Aug → | ||
| 13–7 | -0.05 | 19% | 8 Aug → | ||
| 13–7 | 0.09 | 15% | 23 Jun → | ||
| 13–7 | 0.04 | 8% | 16 May → | ||
| 5–13 | -0.04 | 15% | 16 May → | ||
| 11–13 | -0.08 | 25% | 16 May → | ||
| 10–13 | 0.02 | 16% | 16 May → | ||
| 13–9 | -0.04 | 14% | 14 May → | ||
| 13–7 | -0.00 | 8% | 14 May → | ||
| 13–9 | 0.00 | 25% | 14 May → | ||
| 11–13 | -0.03 | 17% | 13 May → | ||
| 13–11 | 0.04 | 15% | 9 May → | ||
| 6–13 | -0.02 | 22% | 9 May → | ||
| 13–5 | -0.03 | 16% | 9 May → | ||
| 11–13 | -0.02 | 22% | 9 May → | ||
| 5–13 | -0.06 | 7% | 8 May → | ||
| 13–8 | 0.01 | 18% | 8 May → | ||
| 2–13 | -0.08 | 2% | 8 May → | ||
| 5–13 | 0.01 | 26% | 8 May → | ||
| 13–10 | -0.01 | 15% | 4 May → | ||
| 13–11 | 0.14 | 20% | 4 May → | ||
| 13–10 | -0.01 | 13% | 4 May → | ||
| 13–11 | 0.03 | 17% | 2 May → | ||
| 11–13 | 0.02 | 10% | 2 May → | ||
| 13–7 | 0.02 | 19% | 1 May → | ||
| 14–16 | -0.01 | 20% | 27 Apr → | ||
| 5–13 | -0.07 | 7% | 24 Apr → | ||
| 10–13 | -0.02 | 16% | 10 Apr → | ||
| 13–11 | -0.04 | 18% | 10 Apr → | ||
| 13–9 | 0.06 | 14% | 8 Apr → | ||
| 13–5 | 0.01 | 14% | 8 Apr → | ||
| 9–13 | 0.02 | 18% | 8 Apr → | ||
| 9–13 | -0.03 | 13% | 4 Apr → | ||
| 13–3 | 0.04 | 14% | 4 Apr → | ||
| 13–6 | -0.05 | 19% | 3 Apr → | ||
| 13–9 | -0.04 | 14% | 27 Mar → | ||
| 5–9 | -0.03 | 5% | 27 Mar → | ||
| 13–6 | 0.03 | 24% | 22 Mar → | ||
| 13–9 | 0.04 | 15% | 21 Mar → | ||
| 13–7 | 0.03 | 9% | 21 Mar → | ||
| 13–11 | -0.04 | 12% | 20 Mar → | ||
| 4–13 | -0.06 | 14% | 20 Mar → | ||
| 10–13 | -0.01 | 8% | 19 Mar → | ||
| 13–11 | 0.02 | 9% | 15 Mar → | ||
| 5–13 | -0.00 | 6% | 15 Mar → | ||
| 4–13 | -0.08 | 10% | 15 Mar → | ||
| 11–13 | -0.01 | 13% | 14 Mar → | ||
| 14–16 | -0.01 | 7% | 14 Mar → | ||
| 6–13 | 0.01 | 15% | 13 Mar → | ||
| 8–13 | 0.04 | 6% | 13 Mar → | ||
| 7–13 | -0.04 | 8% | 13 Mar → | ||
| 13–5 | 0.09 | 18% | 28 Feb → | ||
| 13–7 | 0.06 | 11% | 28 Feb → | ||
| 8–5 | -0.00 | 11% | 27 Feb → | ||
| 10–13 | -0.07 | 13% | 26 Feb → | ||
| 13–10 | -0.01 | 13% | 7 Feb → | ||
| 13–11 | -0.00 | 13% | 31 Jan → | ||
| 15–15 | 0.03 | 14% | 23 Jan → | ||
| 10–13 | -0.06 | 9% | 31 Oct → | ||
| 10–4 | 0.03 | 8% | 31 Oct → | ||
| 5–13 | -0.05 | 34% | 24 Oct → | ||
| 13–11 | 0.04 | 14% | 23 Oct → | ||
| 15–15 | -0.00 | 11% | 27 Sept → | ||
| 4–13 | -0.15 | 21% | 2 Aug → | ||
| 9–13 | -0.03 | 11% | 17 May → | ||
| 10–13 | 0.01 | 8% | 17 May → | ||
| 5–13 | -0.02 | 13% | 19 Apr → | ||
| 13–8 | 0.04 | 21% | 6 Apr → | ||
| 13–8 | 0.04 | 18% | 6 Apr → | ||
| 13–7 | 0.04 | 13% | 5 Apr → | ||
| 13–3 | -0.03 | 26% | 5 Apr → | ||
| 7–2 | -0.05 | 15% | 29 Mar → | ||
| 13–11 | -0.01 | 10% | 29 Mar → | ||
| 13–5 | 0.12 | 8% | 25 Mar → | ||
| 13–6 | 0.14 | 21% | 23 Mar → | ||
| 15–15 | -0.01 | 13% | 18 Mar → | ||
| 6–13 | -0.01 | 7% | 18 Mar → | ||
| 10–13 | -0.04 | 7% | 16 Mar → | ||
| 6–13 | -0.06 | 12% | 15 Mar → | ||
| 13–10 | 0.04 | 19% | 15 Mar → |
Match data via Leetify.