ꜱʜᴜʀɪᴋᴇɴ — CS2 Stats
76561198424195290[U:1:463929562]✓ No bans
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,022), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 56.0% | 46.2% | 47.2% | above |
| Shot accuracy | 11.9% | 12.5% | 12.3% | 0.4% short |
| Kill/death ratio | 1.11 | 1.06 | 1.07 | above |
| Match win rate | 46.0% | 45.9% | 46.3% | meets |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 ZywOo 95% playstyle similarity
Most alike: opening-fight frequency, 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 92 — the mechanical foundation is a clear strength.
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
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 7.7/10 (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 |
|---|---|---|---|---|---|
| B | 33 | 16–17 | 48% | 0.01 | |
| A | 26 | 15–11 | 58% | 0.04 | |
| C | 19 | 8–11 | 42% | -0.00 | |
| B | 10 | 5–5 | 50% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 60 | 53% | 1.37 | 17.5 |
| Inferno | 21 | 71% | 1.34 | 17.5 |
| Dust2 | 15 | 40% | 1.11 | 16.5 |
| Ancient | 9 | 67% | 1.17 | 16.8 |
| Overpass | 7 | 86% | 1.46 | 19.3 |
| Nuke | 5 | 80% | 1.59 | 19.8 |
| Train | 4 | 25% | 1.16 | 18.5 |
| Anubis | 2 | 50% | 0.70 | 12.0 |
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.
42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.02 | 28% | 24 Aug → | ||
| 10–13 | 0.03 | 39% | 24 Aug → | ||
| 13–6 | -0.01 | 22% | 24 Aug → | ||
| 13–8 | -0.01 | 33% | 24 Aug → | ||
| 13–8 | 0.03 | 18% | 23 Aug → | ||
| 15–15 | 0.00 | 31% | 22 Aug → | ||
| 8–13 | -0.04 | 30% | 22 Aug → | ||
| 13–10 | -0.03 | 45% | 22 Aug → | ||
| 9–13 | -0.06 | 10% | 21 Aug → | ||
| 13–6 | 0.03 | 31% | 21 Aug → | ||
| 1–6 | -0.01 | 54% | 21 Aug → | ||
| 8–13 | 0.01 | 22% | 21 Aug → | ||
| 13–11 | 0.01 | 24% | 21 Aug → | ||
| 13–8 | 0.06 | 53% | 19 Aug → | ||
| 13–11 | -0.02 | 29% | 18 Aug → | ||
| 13–2 | 0.02 | 29% | 18 Aug → | ||
| 13–7 | 0.07 | 26% | 17 Aug → | ||
| 13–9 | 0.00 | 29% | 17 Aug → | ||
| 13–16 | -0.01 | 19% | 13 Aug → | ||
| 3–5 | 0.04 | 33% | 13 Aug → | ||
| 13–11 | 0.09 | 23% | 13 Aug → | ||
| 12–12 | 0.18 | 35% | 13 Aug → | ||
| 13–5 | 0.18 | 47% | 12 Aug → | ||
| 8–13 | 0.12 | 40% | 12 Aug → | ||
| 6–13 | 0.02 | 21% | 12 Aug → | ||
| 15–15 | 0.04 | 23% | 12 Aug → | ||
| 13–11 | -0.02 | 20% | 12 Aug → | ||
| 13–7 | 0.08 | 23% | 11 Aug → | ||
| 13–7 | 0.09 | 35% | 10 Aug → | ||
| 8–13 | 0.03 | 27% | 10 Aug → | ||
| 13–6 | 0.05 | 29% | 10 Aug → | ||
| 13–6 | 0.02 | 21% | 9 Aug → | ||
| 4–13 | -0.03 | 20% | 9 Aug → | ||
| 9–13 | -0.01 | 27% | 8 Aug → | ||
| 7–13 | -0.05 | 31% | 6 Aug → | ||
| 13–9 | -0.02 | 17% | 6 Aug → | ||
| 2–13 | -0.01 | 42% | 6 Aug → | ||
| 10–13 | -0.04 | 13% | 5 Aug → | ||
| 12–12 | 0.00 | 28% | 5 Aug → | ||
| 13–5 | -0.02 | 11% | 4 Aug → | ||
| 13–5 | 0.02 | 26% | 4 Aug → | ||
| 13–9 | -0.05 | 38% | 3 Aug → | ||
| 16–13 | 0.08 | 15% | 2 Aug → | ||
| 15–15 | 0.01 | 18% | 2 Aug → | ||
| 0–13 | -0.05 | 19% | 1 Aug → | ||
| 7–13 | -0.02 | 26% | 1 Aug → | ||
| 3–13 | 0.02 | 41% | 1 Aug → | ||
| 6–13 | -0.03 | 35% | 1 Aug → | ||
| 8–13 | 0.05 | 29% | 1 Aug → | ||
| 4–13 | 0.07 | 32% | 1 Aug → | ||
| 13–7 | 0.04 | 40% | 1 Aug → | ||
| 13–2 | 0.06 | 27% | 1 Aug → | ||
| 5–0 | 0.03 | 0% | 1 Aug → | ||
| 16–14 | -0.04 | 16% | 1 Aug → | ||
| 5–13 | -0.02 | 40% | 29 Jul → | ||
| 7–13 | -0.05 | 21% | 29 Jul → | ||
| 13–6 | 0.08 | 48% | 29 Jul → | ||
| 13–10 | 0.02 | 15% | 29 Jul → | ||
| 3–13 | -0.05 | 28% | 28 Jul → | ||
| 13–9 | 0.06 | 15% | 26 Jul → | ||
| 13–9 | 0.10 | 30% | 26 Jul → | ||
| 1–13 | 0.01 | 24% | 26 Jul → | ||
| 13–8 | 0.04 | 16% | 25 Jul → | ||
| 11–13 | 0.07 | 27% | 25 Jul → | ||
| 13–6 | 0.05 | 29% | 25 Jul → | ||
| 6–13 | 0.01 | 30% | 25 Jul → | ||
| 6–13 | -0.02 | 21% | 25 Jul → | ||
| 1–13 | -0.08 | 67% | 25 Jul → | ||
| 13–8 | 0.02 | 25% | 25 Jul → | ||
| 16–14 | -0.02 | 24% | 25 Jul → | ||
| 10–0 | -0.05 | 13% | 25 Jul → | ||
| 16–14 | -0.02 | 41% | 25 Jul → | ||
| 13–8 | 0.00 | 36% | 24 Jul → | ||
| 13–7 | 0.10 | 23% | 24 Jul → | ||
| 9–13 | 0.00 | 30% | 23 Jul → | ||
| 13–9 | 0.11 | 23% | 21 Jul → | ||
| 13–8 | 0.02 | 29% | 21 Jul → | ||
| 9–13 | 0.02 | 24% | 21 Jul → | ||
| 7–13 | 0.03 | 38% | 20 Jul → | ||
| 13–3 | 0.05 | 23% | 20 Jul → | ||
| 4–13 | -0.07 | 29% | 20 Jul → | ||
| 13–7 | -0.04 | 32% | 20 Jul → | ||
| 4–13 | -0.03 | 37% | 19 Jul → | ||
| 4–13 | -0.03 | 60% | 19 Jul → | ||
| 7–13 | -0.01 | 43% | 19 Jul → | ||
| 7–13 | -0.06 | 27% | 19 Jul → | ||
| 11–13 | 0.02 | 30% | 18 Jul → | ||
| 6–13 | 0.00 | 19% | 18 Jul → | ||
| 13–7 | -0.06 | 18% | 16 Jul → | ||
| 13–8 | 0.18 | 32% | 16 Jul → | ||
| 15–15 | 0.06 | 22% | 15 Jul → | ||
| 12–16 | 0.04 | 21% | 15 Jul → | ||
| 8–13 | -0.02 | 16% | 13 Jul → | ||
| 13–6 | 0.06 | 30% | 13 Jul → | ||
| 10–13 | 0.01 | 23% | 13 Jul → | ||
| 13–4 | 0.11 | 24% | 9 Jul → | ||
| 14–16 | -0.02 | 34% | 9 Jul → | ||
| 5–13 | -0.05 | 18% | 9 Jul → | ||
| 3–13 | -0.09 | 36% | 9 Jul → | ||
| 13–11 | -0.05 | 20% | 9 Jul → |
Match data via Leetify.