武士 — CS2 Stats
76561198814295287[U:1:854029559]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 40.7% | 48.1% |
| Shot accuracy | 18.2% | 12.9% |
| Kill/death ratio | 1.13 | 1.08 |
| Match win rate | 51.8% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
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 85% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 41% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% 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 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 inferno | A | 28 | 17–11 | 61% | 0.00 |
 ancient | A | 17 | 10–7 | 59% | -0.02 |
 nuke | S | 15 | 10–5 | 67% | 0.01 |
 mirage | C | 15 | 6–9 | 40% | -0.02 |
 dust2 | S | 10 | 7–3 | 70% | -0.01 |
 train | — | 4 | 2–2 | 50% | -0.01 |
 anubis | — | 4 | 1–3 | 25% | -0.00 |
 cache | — | 3 | 1–2 | 33% | -0.03 |
 vertigo | — | 3 | 3–0 | 100% | 0.06 |
 overpass | — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Mirage 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
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 25.7993% — 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 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–10 | 0.05 | 23% | 19 Jul → | |
| mirage | 2–13 | -0.05 | 25% | 19 Jul → | |
| ancient | 13–9 | -0.03 | 12% | 18 Jul → | |
| mirage | 13–9 | 0.02 | 18% | 18 Jul → | |
| ancient | 8–13 | -0.09 | 23% | 18 Jul → | |
| cache | 13–5 | -0.06 | 14% | 18 Jul → | |
| dust2 | 9–13 | -0.07 | 12% | 17 Jul → | |
| mirage | 13–9 | -0.01 | 22% | 17 Jul → | |
| cache | 4–13 | -0.05 | 22% | 17 Jul → | |
| inferno | 14–16 | -0.01 | 12% | 17 Jul → | |
| nuke | 13–10 | -0.02 | 16% | 17 Jul → | |
| ancient | 3–13 | -0.09 | 11% | 17 Jul → | |
| dust2 | 13–7 | 0.00 | 25% | 15 Jul → | |
| inferno | 13–9 | 0.02 | 18% | 15 Jul → | |
| nuke | 9–13 | -0.04 | 22% | 15 Jul → | |
| inferno | 2–13 | -0.09 | 17% | 15 Jul → | |
| inferno | 13–8 | 0.10 | 20% | 13 Jul → | |
| inferno | 13–6 | 0.04 | 20% | 13 Jul → | |
| ancient | 16–13 | -0.01 | 19% | 12 Jul → | |
| inferno | 6–13 | -0.06 | 7% | 12 Jul → | |
| dust2 | 13–2 | 0.02 | 14% | 12 Jul → | |
| mirage | 13–8 | 0.03 | 23% | 12 Jul → | |
| cache | 13–16 | 0.00 | 21% | 12 Jul → | |
| dust2 | 13–11 | 0.02 | 11% | 12 Jul → | |
| inferno | 13–6 | -0.04 | 14% | 12 Jul → | |
| inferno | 13–6 | 0.03 | 19% | 10 Jul → | |
| mirage | 6–13 | -0.08 | 10% | 16 May → | |
| dust2 | 10–13 | -0.02 | 9% | 7 May → | |
| ancient | 13–4 | 0.03 | 20% | 6 May → | |
| nuke | 10–13 | -0.03 | 9% | 6 May → | |
| inferno | 4–13 | 0.01 | 10% | 6 May → | |
| ancient | 7–13 | -0.02 | 11% | 6 May → | |
| mirage | 13–11 | -0.02 | 11% | 4 May → | |
| dust2 | 13–8 | -0.05 | 5% | 4 May → | |
| inferno | 13–6 | 0.05 | 15% | 4 May → | |
| ancient | 5–13 | -0.05 | 16% | 4 May → | |
| dust2 | 13–9 | 0.08 | 18% | 4 May → | |
| mirage | 14–16 | -0.04 | 8% | 2 May → | |
| inferno | 15–15 | -0.03 | 14% | 2 May → | |
| ancient | 2–13 | -0.03 | 6% | 2 May → | |
| mirage | 13–4 | 0.00 | 18% | 1 May → | |
| mirage | 4–13 | -0.03 | 11% | 1 May → | |
| nuke | 13–1 | 0.05 | 14% | 1 May → | |
| mirage | 10–13 | 0.02 | 13% | 1 May → | |
| inferno | 16–12 | -0.00 | 5% | 26 Apr → | |
| nuke | 11–13 | -0.05 | 18% | 26 Apr → | |
| mirage | 11–13 | -0.04 | 11% | 26 Apr → | |
| mirage | 8–13 | 0.01 | 24% | 26 Apr → | |
| inferno | 13–9 | 0.02 | 15% | 26 Apr → | |
| train | 16–14 | -0.02 | 7% | 19 Apr → | |
| ancient | 13–7 | -0.04 | 8% | 19 Apr → | |
| inferno | 13–3 | -0.00 | 11% | 19 Apr → | |
| dust2 | 13–9 | 0.00 | 29% | 19 Apr → | |
| train | 13–9 | 0.01 | 15% | 19 Apr → | |
| mirage | 10–13 | 0.02 | 14% | 19 Apr → | |
| inferno | 13–5 | 0.04 | 11% | 19 Apr → | |
| nuke | 13–0 | 0.04 | 10% | 19 Apr → | |
| ancient | 13–11 | -0.04 | 13% | 19 Apr → | |
| ancient | 6–13 | -0.02 | 11% | 17 Apr → | |
| nuke | 13–9 | 0.00 | 11% | 17 Apr → | |
| anubis | 13–8 | 0.02 | 10% | 17 Apr → | |
| inferno | 4–13 | -0.07 | 10% | 17 Apr → | |
| nuke | 13–8 | 0.09 | 5% | 17 Apr → | |
| inferno | 11–2 | 0.07 | 11% | 17 Apr → | |
| dust2 | 13–8 | -0.03 | 12% | 17 Apr → | |
| inferno | 11–13 | 0.01 | 11% | 17 Apr → | |
| anubis | 11–13 | 0.00 | 8% | 15 Apr → | |
| ancient | 13–10 | -0.02 | 10% | 15 Apr → | |
| nuke | 13–9 | 0.00 | 9% | 13 Apr → | |
| train | 10–13 | -0.08 | 8% | 13 Apr → | |
| inferno | 8–13 | -0.05 | 27% | 17 Feb → | |
| train | 15–15 | 0.05 | 18% | 14 Feb → | |
| ancient | 6–13 | 0.00 | 12% | 14 Feb → | |
| inferno | 13–9 | -0.02 | 11% | 12 Oct → | |
| mirage | 7–13 | -0.04 | 13% | 12 Oct → | |
| inferno | 10–13 | 0.00 | 12% | 12 Oct → | |
| dust2 | 4–13 | -0.08 | 19% | 12 Oct → | |
| vertigo | 13–10 | 0.05 | 7% | 5 Oct → | |
| nuke | 13–8 | -0.02 | 10% | 1 Oct → | |
| ancient | 13–3 | 0.00 | 22% | 1 Oct → | |
| nuke | 5–13 | -0.02 | 13% | 4 May → | |
| nuke | 13–4 | 0.03 | 15% | 4 May → | |
| vertigo | 13–1 | 0.09 | 27% | 4 May → | |
| inferno | 1–13 | -0.08 | 16% | 4 May → | |
| ancient | 13–2 | 0.08 | 15% | 4 May → | |
| inferno | 13–11 | 0.06 | 6% | 4 May → | |
| inferno | 11–13 | -0.01 | 17% | 29 Mar → | |
| nuke | 12–12 | 0.01 | 18% | 6 Mar → | |
| inferno | 13–9 | 0.02 | 9% | 6 Mar → | |
| mirage | 13–10 | -0.02 | 7% | 5 Mar → | |
| overpass | 13–11 | 0.08 | 11% | 3 Mar → | |
| nuke | 13–8 | 0.04 | 19% | 3 Mar → | |
| ancient | 13–7 | -0.06 | 9% | 18 Feb → | |
| anubis | 9–13 | -0.08 | 18% | 31 Jan → | |
| inferno | 6–0 | 0.07 | 9% | 31 Jan → | |
| vertigo | 13–10 | 0.03 | 13% | 31 Jan → | |
| inferno | 13–7 | 0.05 | 11% | 31 Jan → | |
| inferno | 16–13 | -0.02 | 12% | 24 Jan → | |
| ancient | 16–14 | -0.00 | 14% | 24 Jan → | |
| anubis | 7–13 | 0.04 | 12% | 24 Jan → |
Match data via Leetify.
