NAPAD — CS2 Stats
76561198061461007[U:1:101195279]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 b1t 94% playstyle similarity
Most alike: utility contribution, 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
T-side openings. Opening success drops from 50% on CT to 35% 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 6.8/10 (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 | 18–11 | 62% | 0.06 | |
| B | 24 | 11–13 | 46% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.03 | |
| S | 10 | 10–0 | 100% | 0.07 | |
| B | 8 | 4–4 | 50% | 0.05 | |
| S | 6 | 4–2 | 67% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| sanctum | — | 1 | 1–0 | 100% | 0.30 |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 627 | 58% | 1.28 | 16.8 |
| Anubis | 349 | 57% | 1.33 | 17.6 |
| Ancient | 237 | 56% | 1.25 | 16.9 |
| Dust2 | 201 | 53% | 1.19 | 16.3 |
| Inferno | 157 | 62% | 1.43 | 17.8 |
| Overpass | 96 | 55% | 1.36 | 18.3 |
| Vertigo | 55 | 56% | 1.17 | 17.8 |
| Nuke | 54 | 54% | 1.25 | 15.4 |
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 35.1745% — 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.
46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.02 | 19% | 16 Aug → | ||
| 9–13 | 0.13 | 21% | 10 Aug → | ||
| 12–12 | 0.01 | 28% | 25 Jul → | ||
| 16–13 | 0.10 | 27% | 21 Jul → | ||
| 9–13 | 0.03 | 30% | 15 Jul → | ||
| 8–13 | 0.15 | 22% | 15 Jul → | ||
| 7–13 | 0.01 | 14% | 15 Jul → | ||
| 13–6 | 0.08 | 22% | 13 Jul → | ||
| 13–10 | 0.01 | 13% | 8 Jul → | ||
| 13–6 | -0.05 | 16% | 2 Jul → | ||
| 13–8 | 0.03 | 35% | 1 Jul → | ||
| 13–9 | 0.05 | 36% | 28 Jun → | ||
| 13–11 | 0.03 | 14% | 21 Jun → | ||
| 13–6 | 0.04 | 36% | 16 Jun → | ||
| 13–4 | 0.02 | 17% | 16 Jun → | ||
| 13–7 | 0.05 | 26% | 10 Jun → | ||
| 10–13 | -0.02 | 24% | 10 Jun → | ||
| 13–16 | 0.07 | 19% | 5 Jun → | ||
| 9–13 | 0.09 | 24% | 5 Jun → | ||
| 13–2 | 0.18 | 28% | 29 May → | ||
| 13–4 | 0.08 | 23% | 29 May → | ||
| 13–2 | 0.24 | 23% | 28 May → | ||
| 5–13 | -0.01 | 27% | 26 May → | ||
| 9–13 | 0.01 | 28% | 25 May → | ||
| 10–13 | 0.03 | 36% | 18 May → | ||
| 13–16 | 0.07 | 20% | 18 May → | ||
| 13–4 | 0.02 | 26% | 18 May → | ||
| 13–7 | -0.01 | 14% | 18 May → | ||
| 14–16 | -0.06 | 23% | 18 May → | ||
| 10–13 | 0.05 | 35% | 13 May → | ||
| 13–10 | 0.07 | 21% | 13 May → | ||
| 13–5 | 0.03 | 31% | 8 May → | ||
| 11–13 | 0.08 | 24% | 8 May → | ||
| 13–11 | -0.01 | 14% | 5 May → | ||
| 6–13 | 0.10 | 22% | 2 May → | ||
| 13–16 | -0.06 | 34% | 29 Apr → | ||
| 13–7 | 0.02 | 35% | 29 Apr → | ||
| 7–13 | -0.06 | 29% | 20 Apr → | ||
| 5–13 | 0.10 | 29% | 20 Apr → | ||
| 13–9 | 0.07 | 26% | 20 Apr → | ||
| 13–8 | -0.01 | 23% | 16 Apr → | ||
| 2–13 | -0.02 | 29% | 14 Apr → | ||
| 5–13 | 0.04 | 27% | 9 Apr → | ||
| 13–16 | 0.03 | 22% | 7 Apr → | ||
| 13–11 | 0.04 | 28% | 31 Mar → | ||
| 11–13 | -0.04 | 32% | 27 Mar → | ||
| 13–11 | 0.03 | 25% | 19 Mar → | ||
| 13–11 | 0.02 | 27% | 19 Mar → | ||
| 13–8 | 0.06 | 38% | 19 Mar → | ||
| 13–6 | -0.03 | 20% | 17 Mar → | ||
| 13–6 | 0.03 | 26% | 6 Mar → | ||
| 7–13 | 0.18 | 36% | 1 Mar → | ||
| 8–13 | -0.04 | 31% | 1 Mar → | ||
| 10–13 | 0.02 | 43% | 1 Mar → | ||
| 13–9 | -0.00 | 11% | 28 Feb → | ||
| 13–7 | 0.09 | 39% | 26 Feb → | ||
| 13–6 | 0.03 | 26% | 25 Feb → | ||
| 13–10 | 0.02 | 26% | 16 Feb → | ||
| 5–13 | 0.05 | 28% | 12 Feb → | ||
| 13–16 | 0.11 | 22% | 11 Feb → | ||
| 13–10 | 0.06 | 26% | 11 Feb → | ||
| 13–4 | 0.11 | 31% | 11 Feb → | ||
| 10–13 | -0.03 | 20% | 7 Feb → | ||
| sanctum | 9–1 | 0.30 | 42% | 6 Feb → | |
| 5–9 | -0.04 | 14% | 6 Feb → | ||
| 9–2 | 0.22 | 28% | 6 Feb → | ||
| 13–11 | 0.10 | 30% | 4 Feb → | ||
| 13–2 | 0.02 | 12% | 4 Feb → | ||
| 13–5 | 0.20 | 29% | 31 Jan → | ||
| 13–11 | 0.01 | 33% | 31 Jan → | ||
| 13–9 | 0.00 | 16% | 30 Jan → | ||
| 9–13 | -0.00 | 25% | 27 Jan → | ||
| 13–10 | 0.02 | 16% | 24 Jan → | ||
| 13–4 | 0.11 | 26% | 23 Jan → | ||
| 13–11 | -0.01 | 28% | 19 Jan → | ||
| 13–7 | -0.05 | 12% | 19 Jan → | ||
| 13–8 | 0.12 | 28% | 19 Jan → | ||
| 11–13 | 0.02 | 33% | 13 Jan → | ||
| 13–10 | 0.06 | 41% | 13 Jan → | ||
| 13–9 | -0.03 | 37% | 25 Dec → | ||
| 13–5 | 0.05 | 32% | 17 Dec → | ||
| 11–13 | 0.00 | 29% | 16 Dec → | ||
| 7–13 | 0.02 | 26% | 5 Dec → | ||
| 13–7 | 0.11 | 32% | 18 Nov → | ||
| 11–13 | 0.06 | 35% | 18 Nov → | ||
| 13–10 | 0.07 | 29% | 5 Nov → | ||
| 7–13 | 0.04 | 17% | 30 Oct → | ||
| 13–8 | 0.04 | 19% | 23 Oct → | ||
| 13–4 | 0.10 | 38% | 23 Oct → | ||
| 13–5 | -0.02 | 28% | 17 Oct → | ||
| 13–10 | 0.06 | 21% | 17 Oct → | ||
| 13–3 | 0.02 | 34% | 15 Oct → | ||
| 13–2 | 0.05 | 26% | 15 Oct → | ||
| 7–9 | -0.04 | 20% | 12 Oct → | ||
| 13–8 | 0.00 | 19% | 11 Oct → | ||
| 13–6 | 0.05 | 30% | 9 Oct → | ||
| 5–13 | -0.04 | 38% | 9 Oct → | ||
| 13–6 | 0.09 | 30% | 7 Oct → | ||
| 10–13 | -0.02 | 21% | 4 Oct → | ||
| 13–6 | 0.04 | 32% | 3 Oct → |
Match data via Leetify.