Shiruko — CS2 Stats
FR76561198829413397[U:1:869147669]Steam profile ↗✓ No bans
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.07 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafing
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 NiKo 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 41 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.
Reaction time. 567ms 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 5.9/10 (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 |
|---|---|---|---|---|---|
 anubis | A | 33 | 19–14 | 58% | 0.01 |
 inferno | C | 17 | 7–10 | 41% | -0.03 |
 dust2 | B | 13 | 7–6 | 54% | 0.01 |
 vertigo | B | 12 | 6–6 | 50% | 0.01 |
 ancient | A | 10 | 6–4 | 60% | 0.05 |
 mirage | B | 6 | 3–3 | 50% | 0.03 |
 overpass | S | 5 | 4–1 | 80% | 0.07 |
 cache | — | 1 | 0–1 | 0% | -0.01 |
| palais | — | 1 | 0–1 | 0% | -0.17 |
| office | — | 1 | 0–1 | 0% | -0.07 |
 nuke | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
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.
- 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 28.5529% — 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.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–7 | -0.04 | 27% | 7 Jul → | |
| dust2 | 7–13 | -0.00 | 21% | 7 Jul → | |
| anubis | 10–13 | -0.04 | 21% | 7 Jul → | |
| anubis | 8–13 | -0.02 | 13% | 7 Jul → | |
| cache | 8–13 | -0.01 | 18% | 7 Jul → | |
| dust2 | 8–1 | 0.02 | 30% | 12 Mar → | |
| anubis | 13–8 | -0.08 | 13% | 12 Mar → | |
| dust2 | 9–13 | -0.06 | 11% | 12 Mar → | |
| dust2 | 13–5 | -0.00 | 21% | 12 Mar → | |
| dust2 | 13–0 | 0.07 | 30% | 12 Mar → | |
| inferno | 10–13 | 0.01 | 20% | 25 Dec → | |
| ancient | 8–13 | -0.03 | 20% | 25 Dec → | |
| inferno | 1–9 | -0.24 | 36% | 25 Dec → | |
| inferno | 6–9 | -0.17 | 10% | 24 Nov → | |
| vertigo | 8–8 | -0.10 | 16% | 20 Nov → | |
| ancient | 13–9 | -0.01 | 30% | 20 Nov → | |
| inferno | 4–9 | -0.04 | 26% | 20 Nov → | |
| inferno | 8–8 | 0.01 | 31% | 20 Nov → | |
| inferno | 3–9 | -0.19 | 16% | 20 Nov → | |
| vertigo | 9–7 | -0.09 | 16% | 20 Nov → | |
| vertigo | 8–8 | 0.01 | 11% | 20 Nov → | |
| anubis | 13–5 | 0.02 | 17% | 20 Nov → | |
| inferno | 3–9 | -0.16 | 22% | 20 Nov → | |
| inferno | 7–9 | -0.06 | 30% | 16 Nov → | |
| vertigo | 9–5 | 0.03 | 47% | 16 Nov → | |
| inferno | 8–8 | -0.10 | 19% | 16 Nov → | |
| vertigo | 9–4 | 0.17 | 26% | 16 Nov → | |
| inferno | 9–3 | 0.06 | 28% | 16 Nov → | |
| vertigo | 4–9 | -0.17 | 40% | 16 Nov → | |
| inferno | 9–3 | -0.02 | 12% | 16 Nov → | |
| palais | 0–9 | -0.17 | 40% | 16 Nov → | |
| vertigo | 9–3 | 0.16 | 26% | 16 Nov → | |
| inferno | 5–9 | -0.04 | 24% | 16 Nov → | |
| vertigo | 9–4 | 0.08 | 35% | 16 Nov → | |
| inferno | 9–4 | 0.19 | 38% | 16 Nov → | |
| inferno | 13–11 | 0.02 | 20% | 13 Nov → | |
| dust2 | 12–12 | 0.06 | 19% | 13 Nov → | |
| dust2 | 13–6 | -0.02 | 23% | 12 Nov → | |
| anubis | 10–13 | 0.08 | 44% | 10 Nov → | |
| ancient | 13–3 | 0.20 | 27% | 10 Nov → | |
| vertigo | 9–0 | -0.00 | 20% | 10 Nov → | |
| anubis | 10–13 | 0.07 | 29% | 10 Nov → | |
| anubis | 13–11 | 0.05 | 11% | 20 Apr → | |
| anubis | 13–8 | 0.03 | 32% | 20 Apr → | |
| dust2 | 0–13 | -0.08 | 0% | 20 Apr → | |
| inferno | 13–8 | 0.06 | 27% | 17 Apr → | |
| ancient | 2–13 | -0.02 | 17% | 17 Apr → | |
| anubis | 0–13 | -0.17 | 100% | 17 Apr → | |
| anubis | 6–13 | -0.02 | 19% | 16 Apr → | |
| dust2 | 12–12 | 0.01 | 16% | 16 Apr → | |
| anubis | 4–13 | -0.11 | 27% | 16 Apr → | |
| anubis | 2–0 | -0.12 | 0% | 16 Apr → | |
| office | 11–13 | -0.07 | 7% | 7 Apr → | |
| anubis | 13–5 | 0.04 | 19% | 7 Apr → | |
| anubis | 13–3 | -0.03 | 15% | 7 Apr → | |
| dust2 | 8–13 | -0.04 | 26% | 7 Apr → | |
| inferno | 13–3 | 0.10 | 26% | 5 Apr → | |
| dust2 | 13–9 | 0.09 | 29% | 5 Apr → | |
| dust2 | 13–5 | 0.02 | 26% | 5 Apr → | |
| anubis | 5–13 | -0.03 | 12% | 2 Apr → | |
| anubis | 13–7 | 0.04 | 26% | 29 Mar → | |
| anubis | 13–7 | 0.01 | 18% | 28 Mar → | |
| anubis | 13–8 | -0.00 | 17% | 26 Mar → | |
| anubis | 13–6 | 0.00 | 26% | 26 Mar → | |
| anubis | 13–7 | 0.04 | 21% | 25 Mar → | |
| anubis | 12–12 | 0.03 | 35% | 25 Mar → | |
| anubis | 7–3 | 0.12 | 33% | 25 Mar → | |
| overpass | 13–10 | 0.00 | 16% | 10 Jan → | |
| ancient | 9–13 | 0.04 | 30% | 10 Jan → | |
| ancient | 13–1 | 0.07 | 31% | 29 Dec → | |
| anubis | 13–4 | 0.14 | 34% | 29 Dec → | |
| ancient | 9–13 | 0.05 | 29% | 27 Dec → | |
| ancient | 13–2 | 0.06 | 17% | 26 Dec → | |
| overpass | 13–6 | 0.15 | 26% | 26 Dec → | |
| overpass | 13–8 | 0.12 | 14% | 24 Dec → | |
| nuke | 11–13 | 0.02 | 16% | 24 Dec → | |
| overpass | 13–5 | 0.13 | 15% | 23 Dec → | |
| anubis | 13–9 | 0.09 | 30% | 21 Dec → | |
| anubis | 13–3 | 0.03 | 36% | 21 Dec → | |
| overpass | 3–13 | -0.03 | 30% | 21 Dec → | |
| vertigo | 10–13 | -0.03 | 25% | 21 Dec → | |
| anubis | 13–9 | 0.05 | 22% | 20 Dec → | |
| ancient | 13–10 | 0.10 | 29% | 18 Dec → | |
| dust2 | 13–7 | 0.03 | 20% | 17 Dec → | |
| vertigo | 5–13 | 0.01 | 16% | 12 Nov → | |
| mirage | 10–13 | -0.00 | 32% | 12 Nov → | |
| inferno | 13–11 | 0.08 | 43% | 10 Nov → | |
| ancient | 13–8 | 0.03 | 18% | 10 Nov → | |
| vertigo | 14–16 | 0.01 | 11% | 23 Aug → | |
| mirage | 4–16 | -0.03 | 16% | 23 Aug → | |
| anubis | 14–16 | 0.08 | 14% | 22 Aug → | |
| mirage | 16–8 | 0.17 | 16% | 22 Aug → | |
| anubis | 7–16 | 0.01 | 10% | 15 Aug → | |
| anubis | 14–16 | 0.07 | 23% | 9 Jun → | |
| anubis | 16–4 | 0.04 | 44% | 9 Jun → | |
| mirage | 16–4 | 0.05 | 7% | 24 May → | |
| anubis | 11–16 | -0.00 | 9% | 24 May → | |
| anubis | 16–6 | 0.06 | 18% | 22 May → | |
| anubis | 14–16 | -0.05 | 27% | 21 May → | |
| mirage | 13–16 | 0.03 | 17% | 21 May → |
Match data via Leetify.
