Ninjakana — CS2 Stats
FI76561198320913898[U:1:360648170]Steam profile ↗✓ No bans
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 | 45.1% | 52.8% |
| Shot accuracy | 14.9% | 13.7% |
| Kill/death ratio | 1.28 | 1.08 |
| Match win rate | 44.8% | 49.2% |
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 jL 95% playstyle similarity
Most alike: utility contribution, positioning 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
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
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 7.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 21 | 15–6 | 71% | 0.02 | |
| D | 18 | 4–14 | 22% | 0.03 | |
| B | 17 | 9–8 | 53% | 0.03 | |
| C | 17 | 7–10 | 41% | 0.01 | |
| B | 13 | 6–7 | 46% | 0.06 | |
| S | 7 | 5–2 | 71% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.08 | |
| debris | — | 1 | 0–1 | 0% | -0.22 |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 18). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 41 | 59% | 1.08 | 16.3 |
| Ancient | 31 | 77% | 1.26 | 17.6 |
| Mirage | 21 | 52% | 1.32 | 15.0 |
| Inferno | 19 | 63% | 1.27 | 17.0 |
| Nuke | 19 | 74% | 1.82 | 19.4 |
| Cache | 10 | 50% | 1.39 | 17.1 |
| Dust2 | 8 | 62% | 1.64 | 17.0 |
| Vertigo | 5 | 60% | 1.15 | 19.0 |
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.
22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.06 | 20% | 28 Aug → | ||
| 13–2 | -0.02 | 17% | 25 Aug → | ||
| 7–0 | 0.30 | 50% | 25 Aug → | ||
| 1–13 | -0.02 | 26% | 25 Aug → | ||
| 13–11 | -0.01 | 20% | 24 Aug → | ||
| 9–5 | 0.06 | 15% | 24 Aug → | ||
| 16–12 | 0.06 | 25% | 23 Aug → | ||
| 10–13 | -0.01 | 16% | 23 Aug → | ||
| 0–2 | -0.00 | 0% | 18 Aug → | ||
| 14–16 | 0.06 | 29% | 17 Aug → | ||
| 13–8 | -0.02 | 18% | 16 Aug → | ||
| 13–9 | 0.02 | 29% | 16 Aug → | ||
| 13–10 | 0.04 | 28% | 15 Aug → | ||
| 13–8 | 0.01 | 18% | 12 Aug → | ||
| 13–5 | 0.04 | 28% | 11 Aug → | ||
| 9–13 | -0.07 | 24% | 6 Aug → | ||
| 11–13 | 0.00 | 33% | 3 Aug → | ||
| 15–15 | 0.01 | 29% | 3 Aug → | ||
| 13–2 | 0.19 | 32% | 2 Aug → | ||
| 13–11 | 0.06 | 23% | 2 Aug → | ||
| 7–13 | -0.04 | 29% | 2 Aug → | ||
| 2–13 | 0.09 | 21% | 1 Aug → | ||
| 9–1 | 0.40 | 29% | 1 Aug → | ||
| 11–13 | 0.03 | 20% | 1 Aug → | ||
| 13–5 | -0.02 | 23% | 1 Aug → | ||
| 16–13 | 0.07 | 18% | 1 Aug → | ||
| 16–13 | 0.05 | 32% | 31 Jul → | ||
| 7–13 | 0.01 | 38% | 31 Jul → | ||
| 6–13 | 0.00 | 27% | 30 Jul → | ||
| 13–5 | -0.01 | 20% | 30 Jul → | ||
| 1–13 | -0.07 | 24% | 30 Jul → | ||
| 9–13 | -0.00 | 24% | 26 Jul → | ||
| 13–3 | 0.12 | 18% | 26 Jul → | ||
| 2–5 | -0.04 | 30% | 26 Jul → | ||
| 13–7 | 0.00 | 14% | 26 Jul → | ||
| 0–13 | -0.04 | 0% | 26 Jul → | ||
| 11–13 | -0.05 | 16% | 26 Jul → | ||
| 13–11 | -0.05 | 26% | 25 Jul → | ||
| 7–13 | 0.09 | 28% | 25 Jul → | ||
| 13–8 | 0.07 | 21% | 25 Jul → | ||
| 13–7 | 0.04 | 23% | 25 Jul → | ||
| 14–16 | 0.01 | 16% | 25 Jul → | ||
| 3–13 | -0.00 | 24% | 24 Jul → | ||
| 13–8 | 0.08 | 26% | 24 Jul → | ||
| 13–11 | 0.03 | 31% | 23 Jul → | ||
| 12–12 | -0.03 | 28% | 20 Jul → | ||
| 13–9 | 0.07 | 27% | 20 Jul → | ||
| 13–3 | 0.03 | 24% | 19 Jul → | ||
| 13–11 | 0.03 | 23% | 19 Jul → | ||
| 2–13 | 0.02 | 22% | 19 Jul → | ||
| 4–13 | -0.03 | 27% | 18 Jul → | ||
| 4–13 | -0.01 | 15% | 18 Jul → | ||
| 13–3 | -0.01 | 20% | 18 Jul → | ||
| debris | 2–9 | -0.22 | 8% | 18 Jul → | |
| 7–13 | -0.05 | 20% | 17 Jul → | ||
| 13–5 | 0.13 | 19% | 17 Jul → | ||
| 13–9 | 0.02 | 17% | 17 Jul → | ||
| 13–2 | 0.06 | 34% | 17 Jul → | ||
| 8–13 | 0.06 | 26% | 16 Jul → | ||
| 7–13 | 0.02 | 20% | 16 Jul → | ||
| 13–5 | 0.07 | 18% | 16 Jul → | ||
| 13–5 | 0.08 | 19% | 16 Jul → | ||
| 13–6 | 0.11 | 25% | 16 Jul → | ||
| 5–13 | 0.02 | 32% | 15 Jul → | ||
| 7–13 | 0.01 | 13% | 15 Jul → | ||
| 13–9 | 0.02 | 16% | 15 Jul → | ||
| 11–13 | -0.06 | 26% | 15 Jul → | ||
| 13–4 | 0.07 | 22% | 14 Jul → | ||
| 10–13 | 0.09 | 21% | 14 Jul → | ||
| 11–13 | 0.04 | 25% | 14 Jul → | ||
| 0–7 | -0.06 | 33% | 14 Jul → | ||
| 10–13 | -0.02 | 18% | 14 Jul → | ||
| 13–2 | 0.18 | 37% | 14 Jul → | ||
| 11–13 | 0.14 | 32% | 13 Jul → | ||
| 16–13 | -0.03 | 39% | 13 Jul → | ||
| 0–13 | -0.05 | 43% | 13 Jul → | ||
| 13–6 | 0.01 | 15% | 13 Jul → | ||
| 15–15 | 0.07 | 19% | 13 Jul → | ||
| 5–13 | 0.04 | 31% | 13 Jul → | ||
| 15–15 | -0.04 | 31% | 12 Jul → | ||
| 13–10 | 0.04 | 18% | 12 Jul → | ||
| 13–11 | -0.01 | 21% | 10 Jul → | ||
| 10–13 | 0.02 | 26% | 10 Jul → | ||
| 4–13 | -0.01 | 20% | 10 Jul → | ||
| 13–4 | 0.04 | 27% | 9 Jul → | ||
| 13–6 | 0.09 | 28% | 9 Jul → | ||
| 16–12 | 0.07 | 24% | 9 Jul → | ||
| 8–13 | -0.01 | 23% | 9 Jul → | ||
| 13–9 | 0.02 | 30% | 7 Jul → | ||
| 13–4 | 0.01 | 50% | 7 Jul → | ||
| 13–11 | 0.03 | 25% | 5 Jul → | ||
| 2–9 | 0.00 | 14% | 5 Jul → | ||
| 3–13 | 0.01 | 34% | 4 Jul → | ||
| 4–13 | -0.03 | 11% | 4 Jul → | ||
| 13–9 | 0.07 | 44% | 4 Jul → | ||
| 4–13 | -0.01 | 32% | 3 Jul → | ||
| 13–9 | 0.04 | 21% | 3 Jul → | ||
| 5–13 | 0.10 | 25% | 3 Jul → | ||
| 4–13 | -0.03 | 43% | 3 Jul → | ||
| 9–13 | -0.01 | 26% | 24 Jun → |
Match data via Leetify.