Whom — CS2 Stats
76561198329371461[U:1:369105733]
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 |
|---|---|---|
| Headshot rate | 52.9% | 48.1% |
| Shot accuracy | 12.9% | 12.9% |
| Kill/death ratio | 1.41 | 1.08 |
| Match win rate | 46.4% | 46.5% |
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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.
Sharp aimerStrong 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 95% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
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 59% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 565ms 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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 33 | 19–14 | 58% | 0.07 | |
| A | 14 | 8–6 | 57% | 0.05 | |
| B | 13 | 7–6 | 54% | 0.04 | |
| D | 13 | 3–10 | 23% | 0.05 | |
| D | 7 | 2–5 | 29% | 0.09 | |
| S | 6 | 4–2 | 67% | 0.09 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.04 | |
| office | — | 2 | 1–1 | 50% | 0.12 |
| — | 2 | 0–2 | 0% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.06 | 40% | 26 Aug → | ||
| 9–13 | -0.06 | 25% | 26 Aug → | ||
| 9–13 | 0.04 | 13% | 26 Aug → | ||
| 13–9 | 0.00 | 26% | 25 Aug → | ||
| 9–13 | 0.08 | 41% | 25 Aug → | ||
| 13–11 | 0.13 | 37% | 24 Aug → | ||
| 13–0 | 0.11 | 16% | 24 Aug → | ||
| 6–13 | 0.03 | 30% | 24 Aug → | ||
| 13–3 | 0.10 | 22% | 24 Aug → | ||
| 13–3 | 0.05 | 18% | 24 Aug → | ||
| 3–9 | -0.10 | 0% | 19 Aug → | ||
| 13–4 | 0.08 | 47% | 19 Aug → | ||
| 5–13 | 0.04 | 52% | 13 Aug → | ||
| 12–12 | 0.05 | 32% | 12 Aug → | ||
| 12–12 | 0.07 | 25% | 12 Aug → | ||
| 10–13 | 0.12 | 28% | 12 Aug → | ||
| 9–13 | 0.01 | 28% | 12 Aug → | ||
| 13–5 | 0.11 | 31% | 7 Aug → | ||
| 13–6 | 0.13 | 25% | 7 Aug → | ||
| 9–13 | -0.01 | 18% | 7 Aug → | ||
| 13–7 | 0.04 | 32% | 7 Aug → | ||
| 13–1 | 0.17 | 16% | 7 Aug → | ||
| 7–13 | 0.08 | 20% | 7 Aug → | ||
| office | 13–9 | 0.09 | 20% | 6 Aug → | |
| 11–13 | 0.07 | 26% | 5 Aug → | ||
| 12–12 | 0.16 | 26% | 3 Aug → | ||
| 10–13 | 0.08 | 13% | 3 Aug → | ||
| 13–10 | 0.00 | 17% | 3 Aug → | ||
| 16–13 | 0.00 | 23% | 3 Aug → | ||
| 13–10 | 0.04 | 20% | 3 Aug → | ||
| 13–11 | 0.03 | 20% | 3 Aug → | ||
| 13–9 | 0.05 | 19% | 3 Aug → | ||
| 4–13 | 0.07 | 26% | 3 Aug → | ||
| 11–13 | 0.01 | 20% | 3 Aug → | ||
| 11–13 | 0.02 | 19% | 1 Aug → | ||
| 4–0 | 0.11 | 37% | 1 Aug → | ||
| 12–12 | 0.11 | 37% | 28 Jul → | ||
| 13–11 | 0.07 | 14% | 27 Jul → | ||
| 12–12 | 0.04 | 23% | 27 Jul → | ||
| 12–12 | 0.06 | 32% | 24 Jul → | ||
| 0–13 | -0.10 | 13% | 24 Jul → | ||
| 6–13 | -0.02 | 46% | 24 Jul → | ||
| 13–11 | 0.02 | 27% | 24 Jul → | ||
| 13–9 | 0.02 | 16% | 23 Jul → | ||
| 12–12 | 0.02 | 20% | 23 Jul → | ||
| 13–8 | 0.04 | 16% | 23 Jul → | ||
| 13–10 | 0.12 | 33% | 23 Jul → | ||
| 13–6 | 0.03 | 14% | 23 Jul → | ||
| 13–9 | -0.01 | 19% | 22 Jul → | ||
| 13–3 | 0.07 | 31% | 22 Jul → | ||
| 5–13 | 0.00 | 17% | 22 Jul → | ||
| 1–13 | -0.01 | 17% | 22 Jul → | ||
| 10–13 | -0.00 | 27% | 22 Jul → | ||
| 13–8 | 0.12 | 19% | 21 Jul → | ||
| 13–8 | 0.09 | 24% | 21 Jul → | ||
| 13–6 | 0.13 | 14% | 20 Jul → | ||
| 13–10 | 0.08 | 23% | 20 Jul → | ||
| 12–12 | 0.05 | 25% | 19 Jul → | ||
| 5–13 | 0.06 | 27% | 19 Jul → | ||
| office | 7–13 | 0.15 | 44% | 18 Jul → | |
| 1–13 | -0.02 | 30% | 17 Jul → | ||
| 13–10 | 0.16 | 22% | 17 Jul → | ||
| 12–12 | 0.02 | 21% | 17 Jul → | ||
| 12–12 | 0.15 | 37% | 16 Jul → | ||
| 10–13 | 0.01 | 14% | 14 Jul → | ||
| 8–13 | 0.07 | 31% | 14 Jul → | ||
| 10–13 | 0.14 | 36% | 11 Jul → | ||
| 11–13 | 0.09 | 29% | 11 Jul → | ||
| 13–10 | 0.10 | 32% | 9 Jul → | ||
| 13–9 | 0.12 | 31% | 3 Jul → | ||
| 13–2 | 0.19 | 35% | 3 Jul → | ||
| 13–5 | 0.07 | 22% | 3 Jul → | ||
| 8–13 | 0.05 | 24% | 28 Jun → | ||
| 13–5 | 0.03 | 13% | 28 Jun → | ||
| 8–13 | 0.07 | 22% | 20 Jun → | ||
| 11–13 | 0.05 | 36% | 23 Mar → | ||
| 13–7 | -0.02 | 30% | 7 Mar → | ||
| 6–13 | 0.07 | 30% | 6 Mar → | ||
| 8–13 | 0.01 | 44% | 27 Nov → | ||
| 13–11 | 0.09 | 35% | 27 Nov → | ||
| 13–8 | 0.10 | 31% | 11 Nov → | ||
| 9–13 | 0.12 | 30% | 6 Nov → | ||
| 13–9 | 0.05 | 28% | 6 Nov → | ||
| 11–13 | 0.05 | 18% | 5 Nov → | ||
| 13–9 | 0.12 | 40% | 29 Oct → | ||
| 15–15 | 0.01 | 22% | 29 Oct → | ||
| 9–13 | 0.01 | 21% | 16 Oct → | ||
| 13–10 | 0.09 | 29% | 16 Oct → | ||
| 9–13 | 0.07 | 28% | 14 Oct → | ||
| 7–13 | -0.01 | 32% | 13 Oct → | ||
| 13–7 | 0.05 | 33% | 30 Sept → | ||
| 13–10 | -0.01 | 31% | 23 Sept → | ||
| 13–6 | 0.03 | 27% | 23 Sept → | ||
| 13–9 | 0.17 | 29% | 22 Sept → | ||
| 16–12 | 0.06 | 15% | 20 Sept → | ||
| 13–10 | 0.01 | 27% | 20 Sept → | ||
| 13–9 | 0.08 | 14% | 20 Sept → | ||
| 13–8 | 0.15 | 24% | 19 Sept → | ||
| 13–4 | 0.12 | 30% | 19 Sept → | ||
| 10–13 | 0.18 | 24% | 18 Sept → |
Match data via Leetify.