✪ HSP — CS2 Stats
76561199514285404[U:1:1554019676]
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 | 53.3% | 48.1% | above |
| Shot accuracy | 0.0% | 12.9% | 12.9% short |
| Kill/death ratio | 1.70 | 1.08 | above |
| Match win rate | 59.8% | 46.5% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 sh1ro 87% playstyle similarity
Most alike: positioning profile, 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
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 63% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 584ms 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 6.3/10 (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 |
|---|---|---|---|---|---|
| A | 31 | 17–14 | 55% | 0.03 | |
| B | 15 | 8–7 | 53% | 0.04 | |
| A | 13 | 8–5 | 62% | 0.05 | |
| A | 11 | 6–5 | 55% | 0.05 | |
| S | 8 | 7–1 | 88% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.08 | |
| S | 5 | 4–1 | 80% | 0.11 | |
| D | 5 | 1–4 | 20% | 0.03 | |
| — | 4 | 1–3 | 25% | 0.08 | |
| — | 2 | 2–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient 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.
- 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 0.4526 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.06 | 23% | 13 Aug → | ||
| 13–3 | 0.07 | 16% | 13 Aug → | ||
| 5–13 | -0.01 | 26% | 13 Aug → | ||
| 12–12 | 0.11 | 31% | 12 Aug → | ||
| 13–10 | 0.07 | 20% | 9 Aug → | ||
| 12–12 | 0.16 | 23% | 9 Aug → | ||
| 4–13 | 0.02 | 33% | 9 Aug → | ||
| 13–6 | 0.08 | 28% | 9 Aug → | ||
| 13–7 | 0.07 | 26% | 9 Aug → | ||
| 3–13 | 0.08 | 20% | 19 Jul → | ||
| 13–10 | 0.01 | 30% | 19 Jul → | ||
| 13–9 | 0.06 | 22% | 19 Jul → | ||
| 13–5 | 0.20 | 34% | 19 Jul → | ||
| 9–13 | 0.02 | 31% | 18 Jul → | ||
| 13–1 | 0.01 | 28% | 18 Jul → | ||
| 13–11 | 0.10 | 27% | 17 Jul → | ||
| 13–2 | 0.16 | 27% | 17 Jul → | ||
| 11–13 | 0.08 | 25% | 17 Jul → | ||
| 7–13 | 0.04 | 44% | 17 Jul → | ||
| 13–6 | 0.04 | 21% | 17 Jul → | ||
| 12–12 | 0.06 | 27% | 17 Jul → | ||
| 13–2 | 0.03 | 15% | 17 Jul → | ||
| 8–13 | 0.04 | 15% | 17 Jul → | ||
| 2–13 | 0.02 | 26% | 16 Jul → | ||
| 13–10 | -0.01 | 27% | 16 Jul → | ||
| 9–13 | -0.01 | 44% | 16 Jul → | ||
| 10–13 | 0.02 | 21% | 16 Jul → | ||
| 15–15 | 0.02 | 16% | 16 Jul → | ||
| 16–13 | 0.07 | 16% | 16 Jul → | ||
| 13–10 | -0.00 | 26% | 16 Jul → | ||
| 13–3 | 0.06 | 10% | 16 Jul → | ||
| 3–13 | -0.06 | 28% | 15 Jul → | ||
| 16–14 | 0.05 | 24% | 15 Jul → | ||
| 10–13 | 0.02 | 17% | 15 Jul → | ||
| 13–6 | 0.05 | 22% | 15 Jul → | ||
| 13–5 | 0.07 | 10% | 15 Jul → | ||
| 6–13 | -0.02 | 23% | 15 Jul → | ||
| 16–14 | 0.07 | 15% | 15 Jul → | ||
| 13–6 | 0.18 | 19% | 15 Jul → | ||
| 5–13 | -0.01 | 11% | 14 Jul → | ||
| 13–10 | 0.12 | 16% | 14 Jul → | ||
| 13–7 | 0.03 | 16% | 14 Jul → | ||
| 1–13 | -0.03 | 10% | 14 Jul → | ||
| 4–8 | 0.12 | 32% | 13 Jul → | ||
| 11–13 | 0.00 | 16% | 13 Jul → | ||
| 13–6 | 0.03 | 32% | 13 Jul → | ||
| 4–13 | -0.07 | 10% | 13 Jul → | ||
| 13–5 | 0.03 | 34% | 13 Jul → | ||
| 3–13 | -0.03 | 10% | 13 Jul → | ||
| 2–5 | 0.10 | 44% | 13 Jul → | ||
| 13–4 | 0.05 | 23% | 13 Jul → | ||
| 12–12 | 0.05 | 33% | 13 Jul → | ||
| 13–8 | -0.02 | 36% | 13 Jul → | ||
| 4–13 | -0.09 | 35% | 12 Jul → | ||
| 13–2 | -0.00 | 31% | 12 Jul → | ||
| 7–13 | 0.05 | 27% | 12 Jul → | ||
| 13–5 | 0.12 | 31% | 12 Jul → | ||
| 13–8 | 0.02 | 28% | 12 Jul → | ||
| 8–13 | -0.00 | 19% | 12 Jul → | ||
| 3–13 | 0.07 | 35% | 12 Jul → | ||
| 16–12 | -0.02 | 21% | 12 Dec → | ||
| 3–13 | 0.04 | 26% | 12 Dec → | ||
| 16–14 | 0.07 | 32% | 12 Dec → | ||
| 5–13 | 0.02 | 19% | 12 Dec → | ||
| 13–6 | 0.11 | 24% | 12 Dec → | ||
| 13–9 | 0.01 | 17% | 9 Dec → | ||
| 6–13 | 0.02 | 18% | 9 Dec → | ||
| 13–6 | 0.07 | 28% | 9 Dec → | ||
| 6–3 | 0.03 | 24% | 9 Dec → | ||
| 9–13 | 0.02 | 34% | 9 Dec → | ||
| 13–0 | 0.11 | 20% | 9 Dec → | ||
| 13–2 | 0.04 | 26% | 6 Dec → | ||
| 13–9 | -0.07 | 18% | 6 Dec → | ||
| 10–13 | 0.03 | 20% | 5 Dec → | ||
| 0–2 | 0.00 | 0% | 2 Dec → | ||
| 13–9 | 0.03 | 25% | 23 Nov → | ||
| 13–9 | 0.09 | 17% | 23 Nov → | ||
| 13–4 | 0.15 | 31% | 23 Nov → | ||
| 13–4 | 0.05 | 12% | 23 Nov → | ||
| 13–10 | 0.07 | 16% | 23 Nov → | ||
| 13–11 | 0.02 | 17% | 23 Nov → | ||
| 13–3 | -0.02 | 18% | 23 Nov → | ||
| 12–12 | -0.02 | 26% | 23 Nov → | ||
| 11–13 | -0.00 | 20% | 23 Nov → | ||
| 8–13 | -0.01 | 13% | 22 Nov → | ||
| 13–6 | 0.11 | 26% | 22 Nov → | ||
| 7–13 | 0.03 | 22% | 22 Nov → | ||
| 13–5 | -0.01 | 13% | 22 Nov → | ||
| 13–9 | 0.14 | 36% | 22 Nov → | ||
| 13–4 | 0.17 | 35% | 22 Nov → | ||
| 13–11 | 0.08 | 24% | 21 Nov → | ||
| 13–6 | 0.13 | 28% | 21 Nov → | ||
| 13–4 | 0.09 | 30% | 21 Nov → | ||
| 13–7 | 0.14 | 24% | 21 Nov → | ||
| 16–13 | -0.03 | 18% | 21 Nov → | ||
| 13–5 | 0.00 | 10% | 21 Nov → | ||
| 13–9 | 0.03 | 16% | 21 Nov → | ||
| 5–3 | 0.03 | 44% | 21 Nov → | ||
| 7–13 | 0.12 | 25% | 16 Nov → | ||
| 10–13 | 0.09 | 22% | 16 Nov → |
Match data via Leetify.