Satoru — CS2 Stats
76561198364445444[U:1:404179716]
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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited utility dependence
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 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution.
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.
T-side openings. Opening success drops from 50% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 617ms 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 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 26 | 16–10 | 62% | 0.02 | |
| A | 20 | 12–8 | 60% | 0.02 | |
| B | 13 | 7–6 | 54% | -0.00 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.03 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| office | — | 2 | 1–1 | 50% | 0.00 |
| — | 2 | 2–0 | 100% | 0.03 | |
| — | 2 | 2–0 | 100% | 0.10 | |
| poseidon | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7579 — below the 4 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 34.0745% — below the 40% mark we flag
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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 13–2 | 0.03 | 26% | 11 Jul → | |
| 13–3 | 0.04 | 27% | 9 Jul → | ||
| 16–14 | -0.04 | 13% | 9 Jul → | ||
| 7–13 | -0.04 | 28% | 5 Jul → | ||
| 7–13 | -0.03 | 25% | 5 Jul → | ||
| 13–8 | -0.03 | 25% | 5 Jul → | ||
| 6–13 | -0.08 | 21% | 5 Jul → | ||
| 10–13 | 0.11 | 28% | 5 Jul → | ||
| 13–11 | -0.01 | 19% | 4 Jul → | ||
| 13–7 | -0.00 | 21% | 4 Jul → | ||
| 16–13 | -0.01 | 20% | 4 Jul → | ||
| 13–7 | -0.00 | 23% | 3 Jul → | ||
| 13–9 | 0.03 | 26% | 3 Jul → | ||
| 13–5 | 0.03 | 14% | 3 Jul → | ||
| 10–13 | 0.08 | 17% | 3 Jul → | ||
| 8–13 | 0.03 | 29% | 3 Jul → | ||
| 8–13 | -0.06 | 38% | 3 Jul → | ||
| 7–13 | -0.09 | 21% | 2 Jul → | ||
| 9–13 | 0.07 | 22% | 2 Jul → | ||
| 10–13 | -0.03 | 14% | 30 Jun → | ||
| 13–1 | 0.02 | 26% | 30 Jun → | ||
| 5–13 | -0.02 | 24% | 30 Jun → | ||
| 9–13 | 0.00 | 33% | 30 Jun → | ||
| 11–13 | -0.00 | 13% | 30 Jun → | ||
| 7–13 | -0.01 | 17% | 25 Jun → | ||
| 13–9 | -0.02 | 20% | 22 Jun → | ||
| 6–13 | -0.03 | 25% | 22 Jun → | ||
| 13–8 | 0.07 | 48% | 22 Jun → | ||
| 16–13 | -0.04 | 26% | 22 Jun → | ||
| 3–13 | 0.01 | 27% | 22 Jun → | ||
| 6–13 | -0.00 | 16% | 21 Jun → | ||
| 11–13 | 0.08 | 29% | 21 Jun → | ||
| 13–6 | 0.01 | 18% | 21 Jun → | ||
| 12–16 | -0.01 | 22% | 19 Jun → | ||
| 13–8 | 0.02 | 18% | 18 Jun → | ||
| 13–10 | -0.02 | 33% | 18 Jun → | ||
| 5–13 | -0.04 | 14% | 18 Jun → | ||
| 13–11 | -0.03 | 14% | 16 Jun → | ||
| 13–11 | -0.00 | 12% | 14 Jun → | ||
| 13–11 | -0.01 | 32% | 14 Jun → | ||
| 13–7 | -0.00 | 15% | 14 Jun → | ||
| 13–6 | -0.06 | 19% | 14 Jun → | ||
| 13–2 | 0.08 | 20% | 14 Jun → | ||
| 9–7 | 0.16 | 24% | 13 Jun → | ||
| poseidon | 9–7 | 0.05 | 40% | 13 Jun → | |
| 13–1 | 0.01 | 21% | 13 Jun → | ||
| 9–1 | 0.04 | 83% | 13 Jun → | ||
| 9–4 | 0.17 | 15% | 13 Jun → | ||
| 12–12 | 0.01 | 21% | 13 Jun → | ||
| 16–14 | 0.08 | 20% | 13 Jun → | ||
| 8–13 | 0.11 | 26% | 12 Jun → | ||
| 13–9 | -0.02 | 16% | 12 Jun → | ||
| 5–13 | -0.04 | 29% | 12 Jun → | ||
| 13–2 | 0.07 | 20% | 10 Jun → | ||
| 13–4 | 0.03 | 16% | 10 Jun → | ||
| 6–13 | -0.01 | 11% | 10 Jun → | ||
| 13–10 | 0.07 | 19% | 10 Jun → | ||
| 13–7 | 0.04 | 25% | 8 Jun → | ||
| 13–2 | 0.15 | 23% | 8 Jun → | ||
| 13–6 | 0.00 | 16% | 7 Jun → | ||
| 11–13 | -0.01 | 18% | 7 Jun → | ||
| 13–7 | 0.04 | 19% | 7 Jun → | ||
| 3–13 | -0.10 | 12% | 7 Jun → | ||
| 3–13 | -0.06 | 24% | 7 Jun → | ||
| 13–8 | 0.08 | 21% | 7 Jun → | ||
| 13–9 | 0.04 | 17% | 7 Jun → | ||
| 10–13 | -0.01 | 15% | 7 Jun → | ||
| 13–10 | 0.08 | 26% | 7 Jun → | ||
| 13–5 | -0.00 | 33% | 6 Jun → | ||
| 13–2 | 0.05 | 23% | 6 Jun → | ||
| 13–7 | -0.02 | 26% | 6 Jun → | ||
| 13–11 | -0.01 | 16% | 6 Jun → | ||
| 13–9 | 0.13 | 28% | 6 Jun → | ||
| 5–13 | -0.02 | 24% | 6 Jun → | ||
| 13–1 | 0.03 | 43% | 6 Jun → | ||
| 5–13 | -0.04 | 19% | 6 Jun → | ||
| 8–4 | -0.04 | 11% | 6 Jun → | ||
| 13–6 | -0.04 | 13% | 7 May → | ||
| 11–13 | -0.09 | 4% | 7 May → | ||
| 15–15 | 0.01 | 20% | 7 Mar → | ||
| 7–13 | -0.07 | 15% | 7 Mar → | ||
| 14–16 | -0.02 | 18% | 28 Feb → | ||
| 10–13 | -0.02 | 22% | 28 Feb → | ||
| 16–12 | -0.00 | 18% | 28 Feb → | ||
| 12–12 | 0.06 | 24% | 26 Feb → | ||
| 13–6 | 0.06 | 26% | 26 Feb → | ||
| 13–8 | 0.06 | 16% | 26 Feb → | ||
| 4–13 | -0.01 | 28% | 26 Feb → | ||
| office | 4–13 | -0.02 | 29% | 25 Feb → | |
| 11–13 | -0.02 | 24% | 20 Feb → | ||
| 9–13 | -0.09 | 26% | 20 Feb → | ||
| 13–3 | -0.04 | 33% | 20 Feb → | ||
| 13–3 | 0.01 | 30% | 20 Feb → | ||
| 13–6 | -0.06 | 15% | 20 Feb → | ||
| 13–11 | 0.05 | 19% | 19 Feb → | ||
| 13–11 | -0.01 | 21% | 19 Feb → | ||
| 7–13 | -0.03 | 14% | 18 Feb → | ||
| 7–13 | -0.04 | 26% | 18 Feb → | ||
| 15–15 | -0.04 | 17% | 18 Feb → | ||
| 13–1 | 0.03 | 27% | 17 Feb → |
Match data via Leetify.