pyotsu666 — CS2 Stats
JP76561198060243294[U:1:99977566]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 42.7% | 52.0% |
| Shot accuracy | 17.6% | 13.7% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 45.8% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 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 91% playstyle similarity
Most alike: positioning profile, utility contribution.
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
Strengths
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 (×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 |
|---|---|---|---|---|---|
| A | 30 | 19–11 | 63% | 0.01 | |
| S | 20 | 13–7 | 65% | -0.01 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.00 | |
| D | 9 | 3–6 | 33% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 169 | 60% | 1.22 | 16.2 |
| Dust2 | 136 | 49% | 1.12 | 16.4 |
| Nuke | 60 | 42% | 1.18 | 16.7 |
| Inferno | 57 | 47% | 1.22 | 16.7 |
| Ancient | 42 | 48% | 1.12 | 17.3 |
| Cache | 32 | 50% | 1.09 | 16.1 |
| Overpass | 25 | 48% | 1.11 | 16.6 |
| Anubis | 15 | 33% | 1.04 | 16.2 |
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.
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 | |
|---|---|---|---|---|---|
| 6–13 | -0.03 | 16% | 28 Aug → | ||
| 13–8 | 0.02 | 21% | 26 Aug → | ||
| 9–1 | 0.15 | 30% | 18 Aug → | ||
| 13–5 | 0.08 | 23% | 16 Aug → | ||
| 13–11 | 0.04 | 20% | 9 Aug → | ||
| 13–5 | -0.01 | 17% | 8 Aug → | ||
| 13–6 | 0.04 | 17% | 8 Aug → | ||
| 5–13 | 0.07 | 21% | 8 Aug → | ||
| 13–2 | 0.09 | 14% | 5 Aug → | ||
| 13–5 | 0.03 | 21% | 3 Aug → | ||
| 13–9 | -0.00 | 22% | 1 Aug → | ||
| 13–6 | 0.01 | 17% | 30 Jul → | ||
| 8–13 | -0.08 | 0% | 28 Jul → | ||
| 13–1 | 0.00 | 0% | 19 Jul → | ||
| 19–17 | 0.04 | 21% | 16 Jul → | ||
| 5–13 | -0.03 | 23% | 10 Jul → | ||
| 13–9 | 0.07 | 30% | 7 Jul → | ||
| 13–1 | 0.10 | 35% | 6 Jul → | ||
| 8–13 | 0.01 | 38% | 30 Jun → | ||
| 8–13 | 0.03 | 17% | 25 Jun → | ||
| 16–13 | -0.02 | 11% | 21 Jun → | ||
| 13–9 | -0.03 | 9% | 21 Jun → | ||
| 13–6 | 0.02 | 19% | 17 Jun → | ||
| 6–13 | 0.01 | 21% | 14 Jun → | ||
| 19–17 | -0.04 | 10% | 13 Jun → | ||
| 4–13 | -0.08 | 20% | 12 Jun → | ||
| 13–7 | -0.04 | 15% | 7 Jun → | ||
| 6–13 | 0.02 | 14% | 2 Jun → | ||
| 5–13 | -0.04 | 13% | 2 Jun → | ||
| 6–13 | -0.06 | 27% | 2 Jun → | ||
| 13–7 | 0.01 | 19% | 29 May → | ||
| 3–13 | -0.07 | 25% | 28 May → | ||
| 13–11 | 0.02 | 19% | 27 May → | ||
| 13–9 | 0.04 | 22% | 22 May → | ||
| 13–4 | 0.04 | 21% | 21 May → | ||
| 7–13 | -0.03 | 36% | 20 May → | ||
| 10–13 | -0.04 | 17% | 18 May → | ||
| 13–7 | 0.03 | 31% | 18 May → | ||
| 9–13 | -0.05 | 11% | 13 May → | ||
| 13–8 | -0.03 | 22% | 13 May → | ||
| 3–13 | -0.06 | 17% | 12 May → | ||
| 2–13 | -0.03 | 5% | 10 May → | ||
| 5–13 | -0.03 | 33% | 10 May → | ||
| 4–13 | -0.05 | 24% | 10 May → | ||
| 8–13 | -0.00 | 16% | 1 May → | ||
| 11–13 | -0.04 | 23% | 30 Apr → | ||
| 16–12 | -0.00 | 33% | 27 Apr → | ||
| 13–11 | -0.05 | 12% | 26 Apr → | ||
| 13–6 | 0.05 | 11% | 22 Apr → | ||
| 8–13 | -0.02 | 33% | 22 Apr → | ||
| 13–5 | -0.02 | 14% | 19 Apr → | ||
| 13–8 | 0.01 | 19% | 17 Apr → | ||
| 13–6 | 0.06 | 24% | 15 Apr → | ||
| 4–13 | -0.07 | 19% | 13 Apr → | ||
| 13–6 | 0.03 | 17% | 9 Apr → | ||
| 13–10 | 0.01 | 29% | 8 Apr → | ||
| 13–11 | -0.01 | 26% | 7 Apr → | ||
| 13–10 | 0.03 | 14% | 1 Apr → | ||
| 10–13 | -0.03 | 27% | 1 Apr → | ||
| 11–13 | 0.02 | 26% | 28 Mar → | ||
| 16–19 | 0.03 | 13% | 28 Mar → | ||
| 11–13 | -0.05 | 24% | 21 Mar → | ||
| 13–4 | -0.03 | 31% | 16 Mar → | ||
| 10–13 | -0.04 | 21% | 16 Mar → | ||
| 8–13 | -0.02 | 14% | 12 Mar → | ||
| 14–16 | 0.03 | 13% | 23 Feb → | ||
| 6–13 | -0.02 | 27% | 21 Feb → | ||
| 13–6 | 0.01 | 35% | 21 Feb → | ||
| 13–5 | 0.06 | 21% | 16 Feb → | ||
| 13–16 | -0.02 | 18% | 12 Feb → | ||
| 9–13 | 0.04 | 16% | 3 Feb → | ||
| 13–7 | -0.01 | 16% | 25 Jan → | ||
| 13–10 | -0.03 | 60% | 25 Jan → | ||
| 13–16 | 0.03 | 20% | 14 Jan → | ||
| 7–13 | 0.07 | 23% | 12 Jan → | ||
| 15–15 | -0.03 | 29% | 12 Jan → | ||
| 8–13 | -0.01 | 27% | 8 Jan → | ||
| 6–13 | 0.03 | 52% | 4 Jan → | ||
| 13–6 | 0.07 | 23% | 9 Dec → | ||
| 13–4 | 0.01 | 22% | 1 Oct → | ||
| 13–7 | -0.01 | 20% | 28 Sept → | ||
| 13–6 | 0.04 | 21% | 18 Sept → | ||
| 13–5 | 0.06 | 20% | 10 Sept → | ||
| 13–4 | 0.09 | 26% | 3 Sept → | ||
| 6–13 | -0.05 | 15% | 25 Aug → | ||
| 8–13 | -0.01 | 27% | 24 Aug → | ||
| 9–6 | 0.10 | 39% | 21 Aug → | ||
| 13–4 | 0.01 | 23% | 18 Jan → | ||
| 14–16 | -0.02 | 14% | 1 Aug → | ||
| 16–12 | -0.05 | 14% | 1 Aug → | ||
| 16–14 | -0.02 | 18% | 1 Aug → | ||
| 16–11 | -0.02 | 19% | 31 Jul → | ||
| 16–14 | -0.00 | 13% | 31 Jul → | ||
| 16–8 | 0.06 | 9% | 30 Jul → | ||
| 16–7 | 0.10 | 8% | 30 Jul → | ||
| 19–16 | 0.02 | 17% | 30 Jul → | ||
| 16–7 | -0.03 | 21% | 28 Jul → | ||
| 4–16 | -0.10 | 10% | 28 Jul → | ||
| 12–16 | 0.01 | 13% | 28 Jul → | ||
| 11–16 | 0.02 | 26% | 28 Jul → |
Match data via Leetify.