owl — CS2 Stats
US76561198066525169[U:1:106259441]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Red band among CSDB-tracked players (n=1,873), 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 | Red band median |
|---|---|---|
| Headshot rate | 47.7% | 49.9% |
| Shot accuracy | 21.4% | 13.4% |
| Kill/death ratio | 1.52 | 1.12 |
| Match win rate | 57.0% | 48.4% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 92% playstyle similarity
Most alike: opening-duel success, positioning profile.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 595ms 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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 29 | 18–11 | 62% | 0.02 | |
| C | 21 | 8–13 | 38% | 0.04 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| C | 13 | 5–8 | 38% | 0.02 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). 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.
38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.01 | 26% | 27 Mar → | ||
| 16–13 | 0.03 | 19% | 27 Mar → | ||
| 13–5 | 0.11 | 26% | 27 Mar → | ||
| 16–14 | 0.01 | 20% | 27 Mar → | ||
| 6–13 | -0.01 | 24% | 27 Mar → | ||
| 5–13 | 0.00 | 25% | 27 Mar → | ||
| 13–11 | 0.05 | 13% | 26 Mar → | ||
| 6–13 | -0.00 | 27% | 25 Mar → | ||
| 11–13 | 0.07 | 27% | 25 Mar → | ||
| 13–9 | -0.03 | 20% | 25 Mar → | ||
| 13–6 | 0.01 | 20% | 25 Mar → | ||
| 13–3 | 0.08 | 22% | 25 Mar → | ||
| 16–12 | 0.02 | 26% | 25 Mar → | ||
| 13–2 | 0.01 | 42% | 25 Mar → | ||
| 13–3 | 0.03 | 19% | 25 Mar → | ||
| 13–8 | 0.06 | 26% | 25 Mar → | ||
| 13–1 | 0.09 | 36% | 25 Mar → | ||
| 13–3 | 0.01 | 24% | 25 Mar → | ||
| 14–16 | 0.04 | 22% | 25 Mar → | ||
| 13–8 | 0.01 | 27% | 25 Mar → | ||
| 13–4 | -0.01 | 16% | 25 Mar → | ||
| 13–8 | 0.01 | 22% | 25 Mar → | ||
| 4–13 | 0.00 | 10% | 24 Mar → | ||
| 7–13 | 0.00 | 16% | 24 Mar → | ||
| 8–13 | 0.02 | 12% | 24 Mar → | ||
| 13–2 | 0.02 | 21% | 24 Mar → | ||
| 13–9 | 0.03 | 23% | 24 Mar → | ||
| 16–14 | -0.00 | 22% | 24 Mar → | ||
| 8–13 | -0.06 | 22% | 24 Mar → | ||
| 6–13 | -0.04 | 27% | 24 Mar → | ||
| 6–13 | 0.03 | 12% | 24 Mar → | ||
| 13–1 | 0.07 | 15% | 24 Mar → | ||
| 11–13 | 0.04 | 27% | 24 Mar → | ||
| 7–13 | 0.03 | 32% | 24 Mar → | ||
| 13–10 | 0.04 | 22% | 23 Mar → | ||
| 0–3 | -0.03 | 50% | 23 Mar → | ||
| 10–13 | 0.02 | 18% | 23 Mar → | ||
| 4–13 | -0.02 | 17% | 23 Mar → | ||
| 11–13 | 0.05 | 17% | 22 Mar → | ||
| 13–10 | -0.02 | 20% | 22 Mar → | ||
| 14–16 | -0.05 | 17% | 22 Mar → | ||
| 8–13 | 0.05 | 18% | 22 Mar → | ||
| 10–13 | 0.07 | 34% | 21 Mar → | ||
| 13–11 | -0.00 | 18% | 21 Mar → | ||
| 13–9 | -0.00 | 20% | 21 Mar → | ||
| 13–5 | 0.07 | 19% | 21 Mar → | ||
| 13–8 | -0.02 | 13% | 21 Mar → | ||
| 13–16 | 0.02 | 23% | 21 Mar → | ||
| 8–13 | -0.07 | 12% | 21 Mar → | ||
| 13–1 | 0.14 | 20% | 21 Mar → | ||
| 5–13 | 0.01 | 15% | 21 Mar → | ||
| 13–4 | 0.13 | 22% | 20 Mar → | ||
| 11–13 | -0.03 | 21% | 20 Mar → | ||
| 16–13 | -0.01 | 17% | 20 Mar → | ||
| 2–6 | -0.01 | 13% | 20 Mar → | ||
| 11–13 | 0.07 | 16% | 20 Mar → | ||
| 16–13 | 0.00 | 20% | 20 Mar → | ||
| 13–9 | 0.08 | 20% | 20 Mar → | ||
| 15–15 | 0.04 | 18% | 20 Mar → | ||
| 9–13 | 0.03 | 28% | 20 Mar → | ||
| 13–10 | 0.07 | 17% | 20 Mar → | ||
| 16–14 | 0.05 | 16% | 20 Mar → | ||
| 13–10 | 0.00 | 14% | 20 Mar → | ||
| 13–6 | 0.06 | 35% | 20 Mar → | ||
| 10–3 | 0.05 | 31% | 20 Mar → | ||
| 13–10 | 0.09 | 20% | 20 Mar → | ||
| 11–13 | -0.02 | 24% | 19 Mar → | ||
| 13–7 | -0.04 | 22% | 19 Mar → | ||
| 8–13 | -0.06 | 19% | 19 Mar → | ||
| 13–11 | 0.02 | 24% | 19 Mar → | ||
| 6–13 | -0.01 | 26% | 19 Mar → | ||
| 0–5 | -0.11 | 33% | 19 Mar → | ||
| 14–16 | 0.05 | 28% | 19 Mar → | ||
| 13–16 | -0.03 | 21% | 19 Mar → | ||
| 13–4 | 0.09 | 18% | 19 Mar → | ||
| 6–13 | 0.04 | 25% | 19 Mar → | ||
| 15–15 | -0.05 | 20% | 19 Mar → | ||
| 10–13 | 0.00 | 21% | 19 Mar → | ||
| 8–13 | 0.06 | 31% | 19 Mar → | ||
| 14–16 | 0.04 | 13% | 19 Mar → | ||
| 5–13 | -0.07 | 29% | 19 Mar → | ||
| 9–13 | -0.03 | 21% | 18 Mar → | ||
| 13–9 | 0.06 | 9% | 18 Mar → | ||
| 3–13 | 0.04 | 20% | 18 Mar → | ||
| 16–13 | 0.02 | 21% | 18 Mar → | ||
| 13–11 | 0.00 | 24% | 18 Mar → | ||
| 13–10 | 0.01 | 14% | 16 Mar → | ||
| 8–13 | 0.10 | 17% | 16 Mar → | ||
| 13–2 | 0.04 | 17% | 16 Mar → | ||
| 11–13 | 0.03 | 11% | 16 Mar → | ||
| 13–11 | -0.03 | 20% | 16 Mar → | ||
| 5–13 | -0.04 | 17% | 16 Mar → | ||
| 9–13 | 0.03 | 14% | 16 Mar → | ||
| 14–16 | -0.02 | 19% | 14 Mar → | ||
| 13–11 | 0.05 | 22% | 14 Mar → | ||
| 5–13 | -0.01 | 12% | 14 Mar → | ||
| 13–10 | -0.02 | 16% | 14 Mar → | ||
| 4–13 | 0.06 | 26% | 14 Mar → | ||
| 13–10 | 0.10 | 25% | 14 Mar → | ||
| 11–13 | 0.17 | 20% | 14 Mar → |
Match data via Leetify.