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 | 63.3% | 52.8% |
| Shot accuracy | 15.2% | 13.7% |
| Kill/death ratio | 1.35 | 1.08 |
| Match win rate | 50.9% | 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: -50pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 91% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 5.8/10 (Solid), 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 | 29 | 17–12 | 59% | -0.01 | |
| C | 26 | 9–17 | 35% | 0.00 | |
| A | 18 | 10–8 | 56% | -0.00 | |
| D | 16 | 3–13 | 19% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.02 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (19% over 16). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 783 | 59% | 1.38 | 20.1 |
| Ancient | 389 | 57% | 1.27 | 18.8 |
| Anubis | 325 | 61% | 1.37 | 19.3 |
| Dust2 | 300 | 58% | 1.39 | 20.9 |
| Nuke | 63 | 56% | 1.33 | 18.4 |
| Overpass | 60 | 52% | 1.37 | 20.1 |
| Inferno | 57 | 54% | 1.44 | 19.6 |
| Train | 45 | 58% | 1.38 | 21.8 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 27.7271% — 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.
19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.07 | 27% | 16 Aug → | ||
| 10–13 | -0.05 | 28% | 16 Aug → | ||
| 13–5 | -0.02 | 8% | 14 Aug → | ||
| 13–5 | 0.01 | 38% | 14 Aug → | ||
| 11–13 | -0.04 | 18% | 12 Aug → | ||
| 8–13 | -0.01 | 37% | 2 Aug → | ||
| 9–13 | 0.02 | 21% | 12 Jul → | ||
| 10–13 | 0.01 | 14% | 12 Jul → | ||
| 4–13 | 0.02 | 28% | 12 Jul → | ||
| 9–13 | -0.01 | 29% | 11 Jul → | ||
| 19–17 | 0.02 | 28% | 11 Jul → | ||
| 19–17 | -0.02 | 24% | 11 Jul → | ||
| 13–9 | 0.03 | 28% | 10 Jul → | ||
| 13–5 | 0.04 | 27% | 10 Jul → | ||
| 15–19 | -0.01 | 29% | 10 Jul → | ||
| 13–16 | 0.01 | 25% | 4 Jul → | ||
| 13–4 | 0.08 | 34% | 4 Jul → | ||
| 13–5 | -0.03 | 22% | 4 Jul → | ||
| 13–3 | 0.02 | 20% | 3 Jul → | ||
| 5–13 | 0.01 | 17% | 2 Jul → | ||
| 13–4 | 0.04 | 29% | 1 Jul → | ||
| 12–14 | 0.01 | 29% | 13 Jun → | ||
| 0–2 | 0.09 | 18% | 13 Jun → | ||
| 0–2 | -0.05 | 0% | 13 Jun → | ||
| 13–14 | -0.06 | 33% | 13 Jun → | ||
| 9–13 | 0.01 | 41% | 12 Jun → | ||
| 13–7 | 0.03 | 22% | 12 Jun → | ||
| 5–13 | -0.03 | 29% | 12 Jun → | ||
| 1–13 | -0.09 | 33% | 11 Jun → | ||
| 13–8 | 0.02 | 29% | 11 Jun → | ||
| 9–13 | 0.07 | 34% | 11 Jun → | ||
| 9–13 | -0.02 | 35% | 4 Jun → | ||
| 6–13 | -0.02 | 24% | 4 Jun → | ||
| 8–13 | 0.05 | 44% | 31 May → | ||
| 13–4 | 0.07 | 32% | 31 May → | ||
| 11–13 | -0.07 | 24% | 22 May → | ||
| 4–13 | -0.02 | 26% | 22 May → | ||
| 13–9 | 0.00 | 26% | 21 May → | ||
| 13–10 | -0.01 | 27% | 21 May → | ||
| 4–13 | -0.10 | 17% | 20 May → | ||
| 6–13 | -0.05 | 36% | 20 May → | ||
| 13–9 | 0.02 | 19% | 20 May → | ||
| 12–16 | 0.03 | 22% | 12 May → | ||
| 13–11 | -0.04 | 25% | 12 May → | ||
| 5–13 | 0.02 | 26% | 12 May → | ||
| 14–16 | 0.00 | 24% | 11 May → | ||
| 7–13 | -0.04 | 34% | 11 May → | ||
| 13–2 | 0.02 | 13% | 10 May → | ||
| 13–5 | 0.03 | 32% | 10 May → | ||
| 8–13 | -0.02 | 26% | 9 May → | ||
| 6–13 | -0.04 | 38% | 9 May → | ||
| 13–8 | 0.03 | 30% | 4 May → | ||
| 7–13 | -0.03 | 19% | 3 May → | ||
| 13–10 | 0.09 | 31% | 26 Apr → | ||
| 8–13 | 0.01 | 35% | 26 Apr → | ||
| 8–13 | -0.03 | 15% | 9 Apr → | ||
| 13–6 | 0.01 | 22% | 9 Apr → | ||
| 9–13 | -0.03 | 31% | 9 Apr → | ||
| 28–26 | 0.01 | 22% | 8 Apr → | ||
| 13–11 | -0.04 | 21% | 8 Apr → | ||
| 9–13 | 0.02 | 35% | 7 Apr → | ||
| 9–13 | -0.01 | 16% | 7 Apr → | ||
| 11–13 | 0.02 | 20% | 6 Apr → | ||
| 6–13 | -0.03 | 27% | 6 Apr → | ||
| 16–14 | -0.04 | 24% | 5 Apr → | ||
| 13–9 | -0.03 | 19% | 5 Apr → | ||
| 10–13 | -0.04 | 20% | 4 Apr → | ||
| 13–4 | 0.06 | 30% | 4 Apr → | ||
| 13–10 | 0.01 | 36% | 4 Apr → | ||
| 7–13 | 0.07 | 24% | 28 Mar → | ||
| 13–8 | -0.02 | 37% | 28 Mar → | ||
| 11–13 | -0.04 | 26% | 28 Mar → | ||
| 13–11 | -0.02 | 21% | 27 Mar → | ||
| 13–10 | -0.01 | 26% | 27 Mar → | ||
| 8–13 | -0.04 | 20% | 26 Mar → | ||
| 13–5 | 0.11 | 26% | 26 Mar → | ||
| 12–16 | -0.06 | 29% | 23 Mar → | ||
| 9–13 | -0.09 | 22% | 23 Mar → | ||
| 13–8 | -0.03 | 28% | 21 Mar → | ||
| 13–3 | 0.10 | 34% | 21 Mar → | ||
| 6–13 | -0.04 | 29% | 19 Mar → | ||
| 13–11 | -0.03 | 29% | 19 Mar → | ||
| 13–8 | -0.03 | 41% | 19 Mar → | ||
| 13–11 | -0.00 | 39% | 9 Mar → | ||
| 6–13 | -0.01 | 27% | 8 Mar → | ||
| 6–13 | -0.08 | 19% | 5 Mar → | ||
| 5–13 | -0.03 | 16% | 5 Mar → | ||
| 10–13 | 0.01 | 22% | 4 Mar → | ||
| 19–15 | 0.05 | 26% | 4 Mar → | ||
| 7–13 | 0.01 | 32% | 4 Mar → | ||
| 11–13 | 0.04 | 20% | 3 Mar → | ||
| 10–13 | -0.00 | 36% | 3 Mar → | ||
| 13–11 | -0.07 | 20% | 2 Mar → | ||
| 19–15 | 0.06 | 20% | 2 Mar → | ||
| 8–13 | -0.01 | 20% | 2 Mar → | ||
| 13–5 | 0.00 | 31% | 1 Mar → | ||
| 13–11 | -0.05 | 15% | 1 Mar → | ||
| 11–13 | -0.04 | 32% | 28 Feb → | ||
| 4–13 | -0.05 | 41% | 22 Feb → | ||
| 10–13 | -0.02 | 20% | 22 Feb → |
Match data via Leetify.