xperimenting0_o — CS2 Stats
76561198781142363[U:1:820876635]Steam profile ↗
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 | 47.0% | 48.1% |
| Shot accuracy | 0.0% | 12.9% |
| Kill/death ratio | 1.56 | 1.08 |
| Match win rate | 63.2% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 96% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 99 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 8.1/10 (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 |
|---|---|---|---|---|---|
| S | 30 | 27–3 | 90% | 0.09 | |
| S | 23 | 20–3 | 87% | 0.04 | |
| S | 17 | 16–1 | 94% | 0.06 | |
| S | 9 | 9–0 | 100% | 0.10 | |
| S | 8 | 6–2 | 75% | 0.07 | |
| S | 5 | 4–1 | 80% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.06 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| office | — | 1 | 1–0 | 100% | 0.30 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (60% over 5). Start with the 6 essential Anubis 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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–0 | 0.00 | 100% | 5 Aug → | ||
| 8–1 | -0.07 | 33% | 5 Aug → | ||
| 10–0 | -0.01 | 0% | 5 Aug → | ||
| 13–1 | 0.04 | 45% | 5 Aug → | ||
| 13–2 | 0.09 | 65% | 5 Aug → | ||
| 13–3 | -0.03 | 11% | 5 Aug → | ||
| 7–0 | 0.05 | 40% | 5 Aug → | ||
| 4–0 | 0.00 | 100% | 5 Aug → | ||
| 13–2 | 0.06 | 41% | 5 Aug → | ||
| 13–2 | 0.38 | 54% | 12 Mar → | ||
| office | 13–5 | 0.30 | 70% | 12 Mar → | |
| 13–5 | 0.21 | 50% | 12 Mar → | ||
| 13–2 | 0.20 | 25% | 12 Mar → | ||
| 13–1 | -0.06 | 29% | 7 Mar → | ||
| 13–6 | 0.05 | 38% | 4 Mar → | ||
| 13–4 | 0.07 | 65% | 4 Mar → | ||
| 13–1 | 0.02 | 80% | 26 Feb → | ||
| 8–0 | 0.07 | 50% | 26 Feb → | ||
| 13–0 | 0.01 | 33% | 26 Feb → | ||
| 13–3 | 0.09 | 75% | 25 Feb → | ||
| 3–0 | 0.04 | 50% | 25 Feb → | ||
| 13–4 | 0.09 | 37% | 23 Feb → | ||
| 13–6 | 0.11 | 48% | 23 Feb → | ||
| 13–1 | 0.09 | 43% | 23 Feb → | ||
| 13–5 | 0.04 | 46% | 23 Feb → | ||
| 13–4 | 0.02 | 38% | 23 Feb → | ||
| 13–9 | -0.01 | 23% | 23 Feb → | ||
| 13–10 | 0.06 | 38% | 23 Feb → | ||
| 13–1 | 0.00 | 24% | 22 Feb → | ||
| 13–3 | 0.00 | 25% | 22 Feb → | ||
| 2–0 | 0.00 | 0% | 22 Feb → | ||
| 13–0 | 0.11 | 50% | 22 Feb → | ||
| 13–0 | -0.02 | 57% | 22 Feb → | ||
| 13–0 | 0.00 | 100% | 22 Feb → | ||
| 13–0 | 0.03 | 32% | 22 Feb → | ||
| 13–0 | 0.00 | 20% | 22 Feb → | ||
| 13–3 | -0.02 | 34% | 22 Feb → | ||
| 13–3 | 0.05 | 70% | 22 Feb → | ||
| 1–13 | -0.10 | 0% | 22 Feb → | ||
| 13–3 | 0.09 | 25% | 22 Feb → | ||
| 13–10 | 0.13 | 40% | 22 Feb → | ||
| 13–2 | -0.01 | 18% | 21 Feb → | ||
| 6–1 | 0.04 | 59% | 21 Feb → | ||
| 13–3 | 0.04 | 35% | 21 Feb → | ||
| 13–3 | 0.01 | 50% | 21 Feb → | ||
| 13–6 | 0.10 | 57% | 21 Feb → | ||
| 13–5 | 0.09 | 39% | 21 Feb → | ||
| 13–1 | 0.06 | 44% | 21 Feb → | ||
| 13–6 | 0.02 | 36% | 21 Feb → | ||
| 13–4 | 0.01 | 41% | 19 Feb → | ||
| 13–5 | 0.12 | 33% | 19 Feb → | ||
| 13–1 | 0.04 | 33% | 19 Feb → | ||
| 13–4 | 0.06 | 41% | 19 Feb → | ||
| 13–10 | 0.14 | 45% | 18 Feb → | ||
| 8–2 | 0.16 | 44% | 18 Feb → | ||
| 13–6 | 0.04 | 43% | 18 Feb → | ||
| 4–0 | 0.06 | 40% | 18 Feb → | ||
| 4–13 | 0.06 | 93% | 17 Feb → | ||
| 5–0 | 0.10 | 78% | 17 Feb → | ||
| 2–0 | 0.02 | 50% | 17 Feb → | ||
| 13–0 | 0.09 | 13% | 17 Feb → | ||
| 13–7 | 0.13 | 45% | 16 Feb → | ||
| 13–6 | 0.07 | 50% | 16 Feb → | ||
| 3–0 | 0.23 | 60% | 16 Feb → | ||
| 13–3 | 0.18 | 36% | 16 Feb → | ||
| 5–2 | 0.08 | 47% | 16 Feb → | ||
| 13–9 | 0.14 | 43% | 16 Feb → | ||
| 9–13 | 0.15 | 38% | 16 Feb → | ||
| 7–4 | 0.13 | 61% | 16 Feb → | ||
| 2–3 | 0.23 | 67% | 16 Feb → | ||
| 13–10 | 0.11 | 47% | 16 Feb → | ||
| 13–10 | 0.01 | 54% | 16 Feb → | ||
| 13–3 | 0.21 | 18% | 16 Feb → | ||
| 13–6 | 0.10 | 68% | 16 Feb → | ||
| 13–11 | 0.04 | 47% | 8 Feb → | ||
| 8–13 | 0.19 | 61% | 8 Feb → | ||
| 13–10 | 0.14 | 52% | 8 Feb → | ||
| 9–13 | 0.08 | 41% | 8 Feb → | ||
| 10–13 | 0.02 | 39% | 8 Feb → | ||
| 13–8 | 0.03 | 53% | 6 Feb → | ||
| 13–11 | 0.12 | 42% | 6 Feb → | ||
| 13–9 | 0.07 | 55% | 6 Feb → | ||
| 13–10 | 0.00 | 53% | 6 Feb → | ||
| 8–13 | 0.09 | 33% | 6 Feb → | ||
| 13–7 | 0.13 | 26% | 4 Feb → | ||
| 8–13 | -0.05 | 19% | 26 Jan → | ||
| 13–3 | 0.05 | 50% | 26 Jan → | ||
| 13–3 | -0.00 | 36% | 26 Jan → | ||
| 1–13 | -0.02 | 67% | 26 Jan → | ||
| 2–13 | 0.03 | 80% | 26 Jan → | ||
| 13–4 | 0.15 | 78% | 26 Jan → | ||
| 2–13 | -0.03 | 50% | 26 Jan → | ||
| 13–8 | 0.07 | 56% | 26 Jan → | ||
| 13–8 | 0.06 | 52% | 26 Jan → | ||
| 13–9 | 0.06 | 60% | 26 Jan → | ||
| 13–5 | 0.26 | 59% | 26 Jan → | ||
| 13–5 | 0.12 | 52% | 25 Jan → | ||
| 16–13 | 0.15 | 71% | 25 Jan → | ||
| 13–10 | 0.12 | 55% | 25 Jan → | ||
| 4–13 | 0.04 | 29% | 25 Jan → |
Match data via Leetify.
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