Yokusha — CS2 Stats
76561198956546557[U:1:996280829]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 55.1% | 52.8% |
| Shot accuracy | 8.2% | 13.7% |
| Kill/death ratio | 0.81 | 1.08 |
| Match win rate | 47.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 b1t 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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. 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 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 22 | 10–12 | 45% | -0.01 | |
| B | 22 | 10–12 | 45% | 0.01 | |
| B | 19 | 9–10 | 47% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.02 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 2 | 2–0 | 100% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1327 | 55% | 1.10 | 15.3 |
| Ancient | 806 | 51% | 1.07 | 15.3 |
| Anubis | 740 | 51% | 1.09 | 15.3 |
| Dust2 | 576 | 48% | 1.08 | 14.8 |
| Nuke | 169 | 49% | 1.05 | 15.8 |
| Vertigo | 131 | 38% | 1.06 | 15.4 |
| Inferno | 120 | 36% | 1.02 | 14.9 |
| Overpass | 94 | 52% | 1.17 | 15.5 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.02 | 9% | 10 Aug → | ||
| 9–13 | 0.04 | 28% | 9 Aug → | ||
| 3–13 | -0.06 | 16% | 10 Jul → | ||
| 10–13 | -0.00 | 23% | 10 Jul → | ||
| 6–13 | -0.01 | 27% | 10 Jul → | ||
| 13–11 | 0.05 | 24% | 23 May → | ||
| 13–8 | -0.01 | 19% | 11 May → | ||
| 8–13 | -0.05 | 24% | 14 Apr → | ||
| 16–13 | -0.01 | 18% | 21 Mar → | ||
| 16–14 | 0.07 | 21% | 27 Feb → | ||
| 13–10 | -0.05 | 17% | 16 Feb → | ||
| 13–8 | 0.01 | 17% | 13 Feb → | ||
| 13–5 | -0.04 | 14% | 10 Feb → | ||
| 13–7 | 0.03 | 20% | 28 Dec → | ||
| 11–13 | -0.02 | 20% | 20 Dec → | ||
| 13–4 | 0.00 | 25% | 13 Dec → | ||
| 13–10 | -0.02 | 21% | 6 Dec → | ||
| 10–13 | 0.03 | 30% | 6 Dec → | ||
| 13–6 | 0.03 | 34% | 4 Dec → | ||
| 12–16 | -0.01 | 25% | 29 Sept → | ||
| 9–13 | 0.03 | 26% | 21 Sept → | ||
| 13–6 | 0.05 | 22% | 6 Sept → | ||
| 13–2 | 0.02 | 20% | 30 Jun → | ||
| 11–13 | 0.01 | 43% | 1 Jun → | ||
| 6–13 | -0.11 | 13% | 9 May → | ||
| 13–8 | 0.06 | 29% | 9 May → | ||
| 16–12 | -0.03 | 15% | 8 May → | ||
| 10–13 | -0.05 | 33% | 12 Apr → | ||
| 6–13 | -0.05 | 29% | 7 Apr → | ||
| 13–9 | -0.03 | 18% | 15 Mar → | ||
| 7–13 | 0.01 | 39% | 12 Mar → | ||
| 8–13 | 0.08 | 24% | 21 Feb → | ||
| 10–13 | -0.09 | 17% | 14 Feb → | ||
| 13–7 | -0.00 | 29% | 5 Feb → | ||
| 13–10 | 0.05 | 25% | 29 Jan → | ||
| 9–13 | -0.04 | 29% | 24 Jan → | ||
| 10–13 | 0.01 | 24% | 24 Jan → | ||
| 13–3 | 0.03 | 38% | 23 Jan → | ||
| 13–11 | 0.00 | 33% | 23 Jan → | ||
| 13–11 | -0.04 | 20% | 20 Jan → | ||
| 13–9 | 0.01 | 31% | 17 Jan → | ||
| 13–9 | -0.02 | 35% | 15 Jan → | ||
| 5–13 | -0.03 | 25% | 12 Jan → | ||
| 13–11 | -0.02 | 28% | 12 Jan → | ||
| 11–13 | -0.03 | 14% | 6 Jan → | ||
| 16–12 | 0.06 | 22% | 5 Jan → | ||
| 10–13 | 0.01 | 28% | 23 Dec → | ||
| 13–16 | -0.01 | 21% | 15 Dec → | ||
| 8–13 | -0.01 | 27% | 6 Dec → | ||
| 13–8 | -0.02 | 29% | 5 Dec → | ||
| 6–13 | -0.02 | 21% | 4 Dec → | ||
| 2–13 | -0.09 | 24% | 4 Dec → | ||
| 1–3 | -0.06 | 0% | 12 Nov → | ||
| 3–13 | -0.07 | 14% | 11 Nov → | ||
| 10–13 | -0.03 | 16% | 6 Nov → | ||
| 9–13 | 0.03 | 33% | 5 Nov → | ||
| 5–13 | -0.03 | 17% | 5 Nov → | ||
| 19–15 | -0.03 | 25% | 5 Nov → | ||
| 7–13 | 0.03 | 20% | 24 Oct → | ||
| 10–13 | 0.04 | 26% | 23 Oct → | ||
| 5–13 | -0.05 | 31% | 21 Oct → | ||
| 5–13 | 0.00 | 31% | 21 Oct → | ||
| 13–10 | -0.02 | 31% | 20 Oct → | ||
| 16–14 | 0.05 | 32% | 19 Oct → | ||
| 13–10 | 0.03 | 17% | 17 Oct → | ||
| 13–4 | 0.01 | 28% | 17 Oct → | ||
| 13–9 | 0.06 | 30% | 15 Oct → | ||
| 16–14 | -0.03 | 19% | 28 Sept → | ||
| 10–13 | -0.10 | 15% | 26 Sept → | ||
| 10–13 | 0.05 | 27% | 1 Sept → | ||
| 13–16 | 0.01 | 17% | 28 Aug → | ||
| 9–13 | -0.00 | 19% | 21 Aug → | ||
| 13–11 | 0.03 | 31% | 12 Aug → | ||
| 8–13 | 0.02 | 33% | 7 Aug → | ||
| 8–13 | -0.02 | 13% | 1 Aug → | ||
| 9–13 | -0.02 | 24% | 1 Aug → | ||
| 13–4 | -0.02 | 13% | 28 Jul → | ||
| 13–11 | -0.03 | 15% | 25 Jul → | ||
| 13–11 | -0.04 | 17% | 7 Jul → | ||
| 13–10 | -0.06 | 16% | 5 Jul → | ||
| 8–13 | -0.06 | 18% | 11 Jun → | ||
| 10–13 | -0.02 | 24% | 3 Jun → | ||
| 10–13 | 0.00 | 24% | 3 Jun → | ||
| 8–13 | -0.07 | 28% | 31 May → | ||
| 13–6 | 0.04 | 29% | 23 May → | ||
| 13–16 | 0.04 | 31% | 14 May → | ||
| 8–13 | 0.05 | 22% | 14 May → | ||
| 8–13 | -0.02 | 33% | 8 May → | ||
| 9–13 | -0.04 | 24% | 4 May → | ||
| 19–15 | 0.07 | 31% | 2 May → | ||
| 2–13 | -0.06 | 25% | 28 Apr → | ||
| 13–7 | -0.01 | 26% | 27 Apr → | ||
| 6–13 | -0.03 | 35% | 25 Apr → | ||
| 13–3 | 0.11 | 23% | 24 Apr → | ||
| 11–13 | 0.03 | 17% | 24 Apr → | ||
| 3–13 | -0.10 | 15% | 20 Apr → | ||
| 8–13 | -0.06 | 16% | 15 Apr → | ||
| 13–16 | 0.01 | 24% | 13 Apr → | ||
| 6–13 | -0.00 | 32% | 7 Apr → | ||
| 16–14 | 0.02 | 19% | 4 Apr → |
Match data via Leetify.