sneaky.sam18 — CS2 Stats
76561198093363929[U:1:133098201]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerLimited 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 sh1ro 92% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
Where you differ: higher opening-duel success.
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 89 — the mechanical foundation is a clear strength.
CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 72% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 24 | 15–9 | 63% | 0.02 | |
| S | 17 | 13–4 | 76% | 0.03 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.05 | |
| B | 8 | 4–4 | 50% | 0.04 | |
| S | 7 | 6–1 | 86% | 0.08 | |
| A | 7 | 4–3 | 57% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| office | — | 3 | 2–1 | 67% | 0.05 |
| — | 3 | 0–3 | 0% | 0.02 | |
| shelter | — | 2 | 1–1 | 50% | 0.05 |
| — | 2 | 2–0 | 100% | -0.02 | |
| italy | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 8). 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 17 | 94% | 1.62 | 18.5 |
| Inferno | 10 | 80% | 1.62 | 20.2 |
| Dust2 | 8 | 75% | 1.41 | 17.5 |
| Ancient | 6 | 100% | 1.69 | 18.8 |
| Cache | 2 | 100% | 1.54 | 16.5 |
| Nuke | 1 | 100% | 1.00 | 16.0 |
| Anubis | 1 | 100% | 2.00 | 22.0 |
| Vertigo | 1 | 100% | 1.07 | 15.0 |
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
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 37.2241% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.06 | 38% | 28 Aug → | ||
| 13–2 | 0.16 | 38% | 28 Aug → | ||
| 13–10 | 0.02 | 23% | 15 Aug → | ||
| 13–9 | -0.02 | 33% | 15 Aug → | ||
| 13–2 | 0.02 | 20% | 11 Aug → | ||
| 13–6 | 0.03 | 26% | 11 Aug → | ||
| 6–13 | 0.07 | 30% | 10 Aug → | ||
| 13–10 | 0.02 | 14% | 8 Aug → | ||
| 13–7 | 0.01 | 20% | 8 Aug → | ||
| 13–5 | 0.04 | 32% | 8 Aug → | ||
| 13–1 | 0.09 | 42% | 8 Aug → | ||
| 13–8 | 0.05 | 19% | 5 Aug → | ||
| 13–9 | -0.05 | 34% | 4 Aug → | ||
| 12–12 | 0.03 | 18% | 1 Aug → | ||
| 13–7 | 0.18 | 26% | 25 Jul → | ||
| shelter | 6–13 | -0.00 | 38% | 25 Jul → | |
| 13–9 | 0.08 | 39% | 25 Jul → | ||
| 4–13 | -0.05 | 24% | 22 Jul → | ||
| 13–8 | 0.01 | 37% | 18 Jul → | ||
| 10–13 | 0.00 | 22% | 18 Jul → | ||
| 13–7 | 0.07 | 32% | 18 Jul → | ||
| 13–6 | 0.08 | 33% | 18 Jul → | ||
| 13–11 | 0.03 | 24% | 17 Jul → | ||
| 8–13 | 0.03 | 33% | 17 Jul → | ||
| 11–13 | 0.13 | 25% | 16 Jul → | ||
| 3–13 | -0.06 | 16% | 16 Jul → | ||
| 13–7 | 0.03 | 30% | 16 Jul → | ||
| 5–5 | 0.04 | 21% | 16 Jul → | ||
| 13–7 | 0.06 | 46% | 15 Jul → | ||
| 13–6 | -0.04 | 16% | 15 Jul → | ||
| 13–5 | 0.07 | 28% | 15 Jul → | ||
| 12–12 | 0.04 | 39% | 15 Jul → | ||
| office | 9–13 | 0.01 | 21% | 12 Jul → | |
| shelter | 13–8 | 0.11 | 23% | 11 Jul → | |
| 2–13 | -0.07 | 47% | 10 Jul → | ||
| 13–10 | -0.04 | 30% | 10 Jul → | ||
| 13–6 | 0.03 | 22% | 10 Jul → | ||
| 13–3 | 0.05 | 41% | 10 Jul → | ||
| 13–4 | -0.01 | 42% | 9 Jul → | ||
| 13–3 | 0.09 | 32% | 9 Jul → | ||
| 13–8 | 0.02 | 29% | 9 Jul → | ||
| 13–5 | 0.02 | 42% | 9 Jul → | ||
| 13–10 | -0.01 | 30% | 9 Jul → | ||
| 13–11 | 0.06 | 18% | 9 Jul → | ||
| 13–8 | 0.01 | 45% | 9 Jul → | ||
| 4–13 | 0.01 | 31% | 8 Jul → | ||
| office | 13–5 | 0.09 | 28% | 8 Jul → | |
| 13–3 | 0.10 | 34% | 8 Jul → | ||
| 13–11 | 0.02 | 29% | 7 Jul → | ||
| 11–13 | 0.04 | 28% | 7 Jul → | ||
| 13–10 | -0.02 | 30% | 6 Jul → | ||
| 13–1 | 0.18 | 39% | 6 Jul → | ||
| 13–10 | 0.02 | 56% | 6 Jul → | ||
| 13–11 | 0.00 | 28% | 5 Jul → | ||
| 13–2 | 0.11 | 29% | 5 Jul → | ||
| 13–6 | 0.06 | 35% | 5 Jul → | ||
| 11–13 | -0.04 | 37% | 5 Jul → | ||
| 13–8 | 0.06 | 24% | 4 Jul → | ||
| 4–0 | 0.03 | 100% | 4 Jul → | ||
| 13–3 | 0.00 | 43% | 4 Jul → | ||
| 7–2 | 0.04 | 50% | 4 Jul → | ||
| 9–13 | 0.09 | 34% | 4 Jul → | ||
| 13–4 | 0.03 | 29% | 3 Jul → | ||
| 13–2 | 0.14 | 26% | 3 Jul → | ||
| 6–13 | 0.01 | 29% | 3 Jul → | ||
| 12–12 | 0.03 | 40% | 3 Jul → | ||
| 6–13 | 0.03 | 48% | 2 Jul → | ||
| 5–13 | 0.00 | 41% | 2 Jul → | ||
| 13–10 | 0.11 | 29% | 2 Jul → | ||
| 10–13 | 0.04 | 25% | 2 Jul → | ||
| 10–13 | 0.02 | 31% | 2 Jul → | ||
| 13–11 | 0.04 | 29% | 2 Jul → | ||
| 11–13 | 0.09 | 33% | 2 Jul → | ||
| 12–12 | 0.05 | 17% | 2 Jul → | ||
| 13–10 | 0.06 | 36% | 30 Jun → | ||
| 13–9 | -0.04 | 31% | 30 Jun → | ||
| 13–8 | -0.02 | 45% | 30 Jun → | ||
| 13–6 | 0.05 | 41% | 30 Jun → | ||
| italy | 13–4 | 0.04 | 33% | 30 Jun → | |
| 11–13 | 0.01 | 37% | 30 Jun → | ||
| 13–8 | -0.01 | 22% | 30 Jun → | ||
| 1–13 | -0.11 | 50% | 30 Jun → | ||
| 2–13 | -0.07 | 47% | 26 Jun → | ||
| 11–13 | -0.03 | 33% | 26 Jun → | ||
| 13–2 | 0.00 | 31% | 26 Jun → | ||
| 13–11 | 0.03 | 40% | 26 Jun → | ||
| 5–13 | 0.01 | 38% | 26 Jun → | ||
| 13–4 | -0.10 | 39% | 22 Jun → | ||
| 13–6 | 0.09 | 26% | 21 Jun → | ||
| 11–13 | 0.02 | 26% | 20 Jun → | ||
| 5–13 | -0.02 | 46% | 20 Jun → | ||
| office | 13–9 | 0.05 | 41% | 20 Jun → | |
| 4–11 | 0.01 | 42% | 19 Jun → | ||
| 13–3 | 0.05 | 26% | 19 Jun → | ||
| 10–13 | 0.02 | 54% | 18 Jun → | ||
| 8–13 | -0.06 | 26% | 16 Jun → | ||
| 13–1 | 0.21 | 25% | 16 Jun → | ||
| 13–4 | 0.06 | 39% | 16 Jun → | ||
| 13–4 | 0.07 | 18% | 15 Jun → | ||
| 13–11 | 0.02 | 31% | 15 Jun → |
Match data via Leetify.