capo di tutti capi — CS2 Stats
76561198308515854[U:1:348250126]✓ 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 | 46.3% | 52.8% |
| Shot accuracy | 11.9% | 13.7% |
| Kill/death ratio | 1.11 | 1.08 |
| Match win rate | 46.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 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 device 92% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: 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
Reaction time. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | -0.01 | |
| B | 26 | 14–12 | 54% | 0.00 | |
| A | 18 | 10–8 | 56% | 0.00 | |
| D | 15 | 5–10 | 33% | -0.01 | |
| A | 9 | 5–4 | 56% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| — | 2 | 1–1 | 50% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Anubis 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 548 | 46% | 1.04 | 15.8 |
| Ancient | 385 | 57% | 1.15 | 17.0 |
| Anubis | 336 | 54% | 1.16 | 16.7 |
| Dust2 | 311 | 47% | 1.07 | 15.6 |
| Inferno | 176 | 52% | 1.20 | 17.6 |
| Nuke | 156 | 63% | 1.19 | 17.4 |
| Vertigo | 47 | 64% | 1.28 | 18.0 |
| Overpass | 29 | 62% | 1.23 | 17.8 |
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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.02 | 31% | 8 Jul → | ||
| 13–11 | -0.02 | 29% | 12 Jun → | ||
| 13–16 | -0.02 | 18% | 11 Jun → | ||
| 13–5 | 0.02 | 17% | 11 Jun → | ||
| 13–3 | 0.03 | 31% | 10 Jun → | ||
| 13–8 | 0.12 | 29% | 9 Jun → | ||
| 5–13 | -0.04 | 48% | 9 Jun → | ||
| 13–4 | 0.13 | 25% | 9 Jun → | ||
| 7–13 | 0.06 | 29% | 9 Jun → | ||
| 11–2 | 0.12 | 26% | 9 Jun → | ||
| 11–13 | 0.05 | 33% | 9 Jun → | ||
| 13–6 | 0.10 | 27% | 8 Jun → | ||
| 13–11 | 0.04 | 23% | 7 Jun → | ||
| 13–7 | 0.13 | 30% | 6 Jun → | ||
| 10–13 | -0.09 | 32% | 6 Jun → | ||
| 13–8 | 0.10 | 21% | 5 Jun → | ||
| 13–9 | 0.10 | 34% | 5 Jun → | ||
| 13–9 | 0.05 | 23% | 4 Jun → | ||
| 13–16 | 0.02 | 25% | 6 May → | ||
| 13–3 | 0.08 | 29% | 6 May → | ||
| 9–13 | -0.01 | 31% | 6 May → | ||
| 10–13 | -0.06 | 25% | 29 Apr → | ||
| 2–13 | -0.07 | 33% | 29 Apr → | ||
| 13–11 | 0.03 | 29% | 29 Apr → | ||
| 9–13 | -0.03 | 26% | 29 Apr → | ||
| 16–13 | 0.02 | 29% | 29 Apr → | ||
| 13–11 | -0.00 | 42% | 28 Apr → | ||
| 6–13 | -0.08 | 22% | 28 Apr → | ||
| 13–6 | 0.11 | 29% | 28 Apr → | ||
| 5–13 | -0.07 | 26% | 28 Apr → | ||
| 19–15 | 0.01 | 23% | 27 Apr → | ||
| 13–11 | 0.08 | 28% | 27 Apr → | ||
| 5–13 | -0.03 | 30% | 27 Apr → | ||
| 19–17 | 0.03 | 28% | 27 Apr → | ||
| 8–13 | -0.01 | 28% | 27 Apr → | ||
| 13–9 | -0.03 | 32% | 27 Apr → | ||
| 9–13 | 0.00 | 24% | 27 Apr → | ||
| 13–16 | -0.05 | 28% | 26 Apr → | ||
| 8–13 | -0.02 | 33% | 26 Apr → | ||
| 16–14 | 0.01 | 20% | 26 Apr → | ||
| 13–10 | -0.04 | 17% | 23 Apr → | ||
| 13–7 | -0.03 | 26% | 23 Apr → | ||
| 4–13 | 0.03 | 12% | 23 Apr → | ||
| 13–9 | 0.02 | 44% | 23 Apr → | ||
| 2–9 | -0.04 | 0% | 21 Apr → | ||
| 11–13 | -0.05 | 29% | 18 Apr → | ||
| 0–7 | -0.03 | 0% | 18 Apr → | ||
| 4–13 | 0.06 | 18% | 17 Apr → | ||
| 16–19 | -0.02 | 24% | 15 Apr → | ||
| 13–2 | 0.22 | 26% | 15 Apr → | ||
| 19–15 | -0.01 | 21% | 15 Apr → | ||
| 13–9 | -0.02 | 27% | 15 Apr → | ||
| 13–5 | -0.01 | 17% | 15 Apr → | ||
| 7–13 | -0.04 | 21% | 15 Apr → | ||
| 16–13 | -0.02 | 28% | 15 Apr → | ||
| 14–16 | -0.01 | 25% | 15 Apr → | ||
| 8–13 | -0.01 | 39% | 15 Apr → | ||
| 11–13 | -0.00 | 20% | 14 Apr → | ||
| 4–13 | -0.05 | 29% | 14 Apr → | ||
| 4–13 | -0.03 | 25% | 14 Apr → | ||
| 14–16 | -0.02 | 22% | 14 Apr → | ||
| 13–8 | -0.04 | 41% | 14 Apr → | ||
| 13–3 | -0.03 | 31% | 14 Apr → | ||
| 3–13 | 0.01 | 26% | 14 Apr → | ||
| 5–13 | 0.02 | 32% | 14 Apr → | ||
| 8–13 | 0.03 | 25% | 14 Apr → | ||
| 12–16 | 0.08 | 23% | 10 Apr → | ||
| 13–11 | -0.01 | 30% | 10 Apr → | ||
| 13–11 | -0.04 | 21% | 10 Apr → | ||
| 13–10 | 0.01 | 26% | 10 Apr → | ||
| 9–13 | -0.01 | 30% | 10 Apr → | ||
| 11–13 | 0.02 | 14% | 10 Apr → | ||
| 0–13 | -0.06 | 18% | 10 Apr → | ||
| 6–13 | -0.04 | 29% | 10 Apr → | ||
| 7–13 | 0.03 | 25% | 10 Apr → | ||
| 19–16 | -0.01 | 9% | 10 Apr → | ||
| 7–13 | -0.06 | 24% | 10 Apr → | ||
| 11–13 | -0.01 | 24% | 10 Apr → | ||
| 10–13 | -0.01 | 37% | 10 Apr → | ||
| 13–11 | 0.01 | 29% | 9 Apr → | ||
| 11–13 | 0.01 | 22% | 9 Apr → | ||
| 12–16 | -0.06 | 26% | 8 Apr → | ||
| 13–11 | 0.03 | 28% | 8 Apr → | ||
| 14–16 | -0.01 | 22% | 8 Apr → | ||
| 5–13 | -0.05 | 29% | 8 Apr → | ||
| 2–13 | -0.06 | 21% | 8 Apr → | ||
| 13–6 | 0.05 | 30% | 8 Apr → | ||
| 14–16 | -0.03 | 37% | 8 Apr → | ||
| 5–13 | -0.02 | 40% | 8 Apr → | ||
| 13–10 | -0.01 | 27% | 8 Apr → | ||
| 12–2 | 0.09 | 26% | 8 Apr → | ||
| 13–9 | -0.02 | 16% | 8 Apr → | ||
| 16–14 | -0.02 | 33% | 7 Apr → | ||
| 13–11 | 0.00 | 22% | 7 Apr → | ||
| 13–11 | 0.02 | 29% | 7 Apr → | ||
| 13–9 | 0.06 | 19% | 7 Apr → | ||
| 11–13 | -0.05 | 23% | 7 Apr → | ||
| 9–13 | -0.03 | 17% | 7 Apr → | ||
| 10–13 | -0.01 | 27% | 7 Apr → | ||
| 16–14 | -0.05 | 0% | 6 Apr → |
Match data via Leetify.