Leonardo Dab Vinci — CS2 Stats
US76561198057324037[U:1:97058309]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 38.9% | 49.0% | 52.0% | 13.1% short |
| Shot accuracy | 13.7% | 13.1% | 13.7% | meets |
| Kill/death ratio | 0.94 | 1.08 | 1.08 | 0.14 short |
| Match win rate | 33.0% | 46.9% | 48.8% | 15.7% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 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: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 →
CSDB Rating breakdown
Composite 5.5/10 (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 | |
| A | 18 | 11–7 | 61% | 0.01 | |
| C | 15 | 6–9 | 40% | -0.00 | |
| C | 14 | 6–8 | 43% | 0.01 | |
| B | 13 | 6–7 | 46% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| — | 4 | 3–1 | 75% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.08 | |
| office | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Dust 2 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 183 | 54% | 1.02 | 16.2 |
| Anubis | 91 | 54% | 1.05 | 17.0 |
| Mirage | 85 | 44% | 1.05 | 16.6 |
| Ancient | 79 | 54% | 1.01 | 16.3 |
| Nuke | 70 | 47% | 1.06 | 16.7 |
| Inferno | 66 | 41% | 1.00 | 15.8 |
| Train | 23 | 70% | 1.03 | 15.9 |
| Vertigo | 14 | 57% | 1.19 | 18.1 |
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
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 32.7198% — 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.
38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.01 | 19% | 24 Aug → | ||
| 13–10 | 0.05 | 16% | 23 Aug → | ||
| 13–7 | 0.01 | 12% | 23 Aug → | ||
| 13–6 | 0.01 | 26% | 23 Aug → | ||
| 3–13 | -0.05 | 24% | 22 Aug → | ||
| 13–3 | 0.11 | 13% | 22 Aug → | ||
| 8–13 | -0.06 | 12% | 22 Aug → | ||
| 11–13 | -0.03 | 14% | 20 Aug → | ||
| 10–13 | 0.02 | 29% | 16 Aug → | ||
| 13–9 | 0.01 | 18% | 16 Aug → | ||
| 13–7 | 0.04 | 14% | 16 Aug → | ||
| 1–13 | -0.01 | 19% | 15 Aug → | ||
| 7–13 | -0.05 | 12% | 15 Aug → | ||
| 9–13 | 0.01 | 15% | 14 Aug → | ||
| 13–7 | 0.04 | 15% | 12 Aug → | ||
| 13–6 | -0.02 | 26% | 12 Aug → | ||
| 13–8 | 0.04 | 28% | 12 Aug → | ||
| office | 10–13 | -0.04 | 12% | 11 Aug → | |
| 13–9 | 0.06 | 24% | 10 Aug → | ||
| 13–1 | 0.00 | 13% | 10 Aug → | ||
| 6–13 | -0.03 | 12% | 9 Aug → | ||
| 11–13 | -0.02 | 4% | 9 Aug → | ||
| 4–13 | -0.04 | 11% | 7 Aug → | ||
| 8–8 | 0.01 | 17% | 5 Aug → | ||
| 10–13 | 0.00 | 6% | 4 Aug → | ||
| 9–7 | 0.01 | 12% | 3 Aug → | ||
| 13–2 | 0.02 | 14% | 2 Aug → | ||
| 10–13 | -0.05 | 7% | 2 Aug → | ||
| 10–13 | -0.01 | 17% | 1 Aug → | ||
| 6–13 | -0.04 | 15% | 31 Jul → | ||
| 6–13 | -0.04 | 12% | 31 Jul → | ||
| 13–10 | 0.00 | 19% | 30 Jul → | ||
| 13–7 | 0.05 | 11% | 30 Jul → | ||
| 5–13 | -0.02 | 14% | 27 Jul → | ||
| 10–13 | 0.05 | 13% | 27 Jul → | ||
| 13–6 | 0.07 | 11% | 26 Jul → | ||
| 6–13 | -0.02 | 16% | 25 Jul → | ||
| 16–13 | 0.03 | 15% | 24 Jul → | ||
| 6–13 | -0.02 | 22% | 24 Jul → | ||
| 13–11 | 0.00 | 17% | 23 Jul → | ||
| 5–13 | 0.02 | 17% | 21 Jul → | ||
| 13–16 | -0.01 | 16% | 21 Jul → | ||
| 9–13 | -0.02 | 11% | 21 Jul → | ||
| 8–13 | 0.04 | 17% | 20 Jul → | ||
| 13–7 | -0.09 | 17% | 20 Jul → | ||
| 11–13 | -0.04 | 14% | 19 Jul → | ||
| 11–13 | -0.03 | 9% | 19 Jul → | ||
| 11–13 | -0.04 | 15% | 19 Jul → | ||
| 13–11 | -0.05 | 19% | 19 Jul → | ||
| 13–4 | 0.11 | 20% | 16 Jul → | ||
| 16–13 | -0.00 | 20% | 16 Jul → | ||
| 13–3 | -0.05 | 18% | 16 Jul → | ||
| 2–13 | -0.08 | 24% | 16 Jul → | ||
| 13–7 | 0.10 | 24% | 15 Jul → | ||
| 13–9 | 0.03 | 16% | 15 Jul → | ||
| 14–16 | -0.01 | 26% | 14 Jul → | ||
| 13–6 | 0.00 | 26% | 14 Jul → | ||
| 7–13 | -0.04 | 10% | 13 Jul → | ||
| 10–13 | 0.02 | 17% | 12 Jul → | ||
| 13–9 | 0.06 | 14% | 12 Jul → | ||
| 13–8 | -0.05 | 9% | 12 Jul → | ||
| 2–13 | 0.01 | 30% | 12 Jul → | ||
| 10–13 | -0.01 | 21% | 11 Jul → | ||
| 10–13 | -0.05 | 11% | 10 Jul → | ||
| 13–9 | 0.03 | 11% | 9 Jul → | ||
| 13–10 | 0.00 | 14% | 9 Jul → | ||
| 10–13 | 0.01 | 9% | 6 Jul → | ||
| 7–13 | -0.01 | 13% | 5 Jul → | ||
| 13–7 | 0.04 | 16% | 4 Jul → | ||
| 16–13 | -0.01 | 14% | 3 Jul → | ||
| 10–13 | 0.08 | 16% | 30 Jun → | ||
| 10–13 | 0.01 | 13% | 29 Jun → | ||
| 13–9 | 0.07 | 21% | 28 Jun → | ||
| 12–16 | 0.00 | 14% | 24 Jun → | ||
| 4–13 | -0.04 | 15% | 21 Jun → | ||
| 9–13 | 0.02 | 8% | 21 Jun → | ||
| 19–16 | -0.00 | 13% | 20 Jun → | ||
| 13–3 | 0.05 | 14% | 20 Jun → | ||
| 8–13 | -0.05 | 4% | 18 Jun → | ||
| 13–10 | -0.01 | 8% | 18 Jun → | ||
| 9–6 | 0.21 | 15% | 18 Jun → | ||
| 16–14 | -0.00 | 11% | 18 Jun → | ||
| 13–10 | -0.01 | 11% | 16 Jun → | ||
| 13–10 | -0.03 | 19% | 14 Jun → | ||
| 8–13 | -0.06 | 28% | 13 Jun → | ||
| 7–13 | -0.06 | 11% | 9 Jun → | ||
| 11–13 | -0.00 | 25% | 7 Jun → | ||
| 16–14 | 0.01 | 18% | 6 Jun → | ||
| 10–13 | -0.01 | 11% | 6 Jun → | ||
| 3–13 | -0.03 | 17% | 4 Jun → | ||
| 13–8 | 0.02 | 17% | 4 Jun → | ||
| 17–19 | -0.04 | 12% | 3 Jun → | ||
| 13–11 | -0.03 | 7% | 1 Jun → | ||
| 8–13 | -0.06 | 5% | 1 Jun → | ||
| 13–8 | -0.03 | 13% | 31 May → | ||
| 13–1 | 0.16 | 8% | 31 May → | ||
| 13–6 | 0.10 | 22% | 31 May → | ||
| 5–13 | -0.06 | 6% | 31 May → | ||
| 9–5 | 0.05 | 15% | 31 May → | ||
| 8–8 | 0.02 | 13% | 31 May → |
Match data via Leetify.
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