cop1ed — CS2 Stats
76561198196227506[U:1:235961778]
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 | 50.0% | 52.8% |
| Shot accuracy | 8.7% | 13.7% |
| Kill/death ratio | 1.22 | 1.08 |
| Match win rate | 54.5% | 49.2% |
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: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 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
Strengths
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 34 | 20–14 | 59% | 0.01 | |
| A | 21 | 13–8 | 62% | 0.01 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| D | 8 | 2–6 | 25% | 0.02 | |
| D | 7 | 2–5 | 29% | 0.03 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| C | 5 | 2–3 | 40% | 0.04 | |
| — | 2 | 2–0 | 100% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 280 | 55% | 1.11 | 16.5 |
| Dust2 | 204 | 49% | 1.04 | 16.4 |
| Ancient | 158 | 49% | 1.08 | 16.9 |
| Inferno | 69 | 51% | 1.14 | 18.4 |
| Anubis | 65 | 49% | 1.11 | 16.9 |
| Overpass | 30 | 57% | 1.08 | 16.3 |
| Nuke | 6 | 50% | 0.85 | 14.2 |
| Cache | 5 | 40% | 1.22 | 17.0 |
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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.02 | 26% | 19 Aug → | ||
| 11–13 | 0.06 | 35% | 18 Aug → | ||
| 13–10 | 0.00 | 21% | 17 Aug → | ||
| 11–13 | 0.02 | 17% | 16 Aug → | ||
| 13–8 | 0.10 | 25% | 16 Aug → | ||
| 10–13 | 0.05 | 22% | 4 Aug → | ||
| 0–13 | -0.04 | 75% | 19 Jul → | ||
| 13–9 | 0.10 | 29% | 18 Jul → | ||
| 13–8 | 0.07 | 37% | 18 Jul → | ||
| 13–2 | 0.07 | 26% | 18 Jul → | ||
| 11–13 | 0.05 | 18% | 18 Jul → | ||
| 4–13 | -0.01 | 19% | 17 Jul → | ||
| 8–13 | 0.02 | 18% | 17 Jul → | ||
| 0–13 | -0.04 | 29% | 17 Jul → | ||
| 13–5 | 0.07 | 18% | 16 Jul → | ||
| 13–10 | 0.01 | 12% | 16 Jul → | ||
| 13–11 | -0.04 | 23% | 16 Jul → | ||
| 5–13 | -0.09 | 36% | 15 Jul → | ||
| 13–7 | 0.06 | 40% | 15 Jul → | ||
| 13–9 | 0.01 | 26% | 13 Jul → | ||
| 13–9 | 0.13 | 33% | 12 Jul → | ||
| 13–8 | 0.07 | 31% | 12 Jul → | ||
| 13–6 | 0.01 | 36% | 12 Jul → | ||
| 1–8 | -0.02 | 0% | 12 Jul → | ||
| 13–7 | -0.01 | 14% | 12 Jul → | ||
| 13–8 | -0.03 | 23% | 12 Jul → | ||
| 8–13 | 0.01 | 11% | 10 Jul → | ||
| 13–3 | 0.06 | 27% | 9 Jul → | ||
| 13–8 | 0.06 | 27% | 6 Jul → | ||
| 16–13 | 0.05 | 23% | 4 Jul → | ||
| 13–9 | -0.10 | 5% | 3 Jul → | ||
| 5–13 | -0.06 | 25% | 29 Jun → | ||
| 13–7 | -0.02 | 12% | 29 Jun → | ||
| 6–13 | -0.03 | 24% | 23 Jun → | ||
| 12–16 | -0.10 | 11% | 18 Jun → | ||
| 15–15 | -0.00 | 15% | 17 Jun → | ||
| 13–11 | -0.00 | 11% | 14 Jun → | ||
| 0–9 | -0.03 | 23% | 14 Jun → | ||
| 3–13 | -0.05 | 20% | 14 Jun → | ||
| 13–11 | 0.06 | 17% | 14 Jun → | ||
| 13–6 | 0.03 | 21% | 13 Jun → | ||
| 14–16 | -0.02 | 24% | 12 Jun → | ||
| 13–11 | 0.03 | 23% | 12 Jun → | ||
| 4–13 | 0.06 | 26% | 12 Jun → | ||
| 15–15 | 0.01 | 19% | 11 Jun → | ||
| 0–13 | -0.08 | 27% | 11 Jun → | ||
| 5–13 | -0.06 | 21% | 10 Jun → | ||
| 13–9 | -0.04 | 38% | 8 Jun → | ||
| 13–7 | -0.03 | 20% | 8 Jun → | ||
| 11–13 | -0.07 | 26% | 5 Jun → | ||
| 13–3 | 0.07 | 26% | 4 Jun → | ||
| 13–4 | 0.02 | 36% | 4 Jun → | ||
| 9–13 | 0.00 | 31% | 3 Jun → | ||
| 13–8 | 0.14 | 29% | 1 Jun → | ||
| 13–11 | -0.03 | 13% | 31 May → | ||
| 13–6 | 0.07 | 18% | 30 May → | ||
| 10–13 | -0.02 | 23% | 28 May → | ||
| 6–13 | -0.03 | 25% | 25 May → | ||
| 13–7 | 0.05 | 14% | 25 May → | ||
| 6–13 | -0.01 | 16% | 25 May → | ||
| 16–19 | -0.03 | 21% | 13 May → | ||
| 13–10 | 0.04 | 27% | 12 May → | ||
| 13–11 | -0.04 | 13% | 12 May → | ||
| 13–11 | 0.01 | 22% | 10 May → | ||
| 10–13 | -0.02 | 22% | 8 May → | ||
| 9–13 | -0.00 | 31% | 6 May → | ||
| 13–6 | -0.01 | 26% | 5 May → | ||
| 8–13 | -0.01 | 13% | 3 May → | ||
| 13–8 | 0.02 | 39% | 2 May → | ||
| 6–13 | -0.05 | 23% | 2 May → | ||
| 8–13 | 0.03 | 31% | 2 May → | ||
| 12–16 | -0.03 | 25% | 30 Apr → | ||
| 13–11 | -0.01 | 14% | 30 Apr → | ||
| 13–2 | 0.05 | 21% | 30 Apr → | ||
| 12–12 | 0.04 | 21% | 25 Apr → | ||
| 12–12 | 0.05 | 34% | 25 Apr → | ||
| 5–13 | 0.01 | 29% | 25 Apr → | ||
| 13–10 | 0.09 | 13% | 25 Apr → | ||
| 13–10 | 0.06 | 24% | 25 Apr → | ||
| 13–5 | 0.04 | 30% | 24 Apr → | ||
| 13–9 | 0.08 | 30% | 24 Apr → | ||
| 13–7 | 0.08 | 35% | 24 Apr → | ||
| 11–13 | 0.05 | 26% | 24 Apr → | ||
| 7–13 | 0.01 | 33% | 24 Apr → | ||
| 13–11 | 0.06 | 36% | 24 Apr → | ||
| 11–13 | -0.00 | 16% | 24 Apr → | ||
| 12–12 | 0.07 | 21% | 24 Apr → | ||
| 13–11 | 0.10 | 26% | 24 Apr → | ||
| 10–13 | 0.06 | 27% | 24 Apr → | ||
| 11–13 | 0.06 | 28% | 22 Apr → | ||
| 13–9 | 0.00 | 25% | 21 Apr → | ||
| 11–13 | -0.00 | 22% | 21 Apr → | ||
| 5–1 | 0.02 | 21% | 21 Apr → | ||
| 13–7 | -0.06 | 13% | 20 Apr → | ||
| 13–9 | 0.07 | 30% | 20 Apr → | ||
| 7–13 | 0.03 | 25% | 17 Apr → | ||
| 13–9 | 0.06 | 22% | 16 Apr → | ||
| 2–9 | -0.03 | 22% | 14 Apr → | ||
| 13–5 | 0.05 | 14% | 14 Apr → | ||
| 9–13 | -0.01 | 25% | 13 Apr → |
Match data via Leetify.