N1dhaaal — CS2 Stats
76561199048899147[U:1:1088633419]
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 donk 95% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 94 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.5/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | S | 26 | 18–8 | 69% | 0.05 |
 mirage | A | 19 | 11–8 | 58% | 0.03 |
 ancient | C | 17 | 7–10 | 41% | 0.03 |
 inferno | S | 14 | 11–3 | 79% | 0.03 |
 nuke | C | 8 | 3–5 | 38% | 0.01 |
 anubis | C | 5 | 2–3 | 40% | -0.02 |
| office | — | 4 | 2–2 | 50% | 0.12 |
 train | — | 3 | 3–0 | 100% | 0.05 |
 cache | — | 1 | 1–0 | 100% | 0.09 |
 vertigo | — | 1 | 1–0 | 100% | 0.31 |
| rooftop | — | 1 | 0–1 | 0% | 0.23 |
 overpass | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 904 | 55% | 1.25 | 18.7 |
| Mirage | 861 | 53% | 1.24 | 19.1 |
| Dust2 | 541 | 54% | 1.26 | 18.6 |
| Anubis | 491 | 50% | 1.18 | 17.9 |
| Inferno | 308 | 61% | 1.24 | 18.0 |
| Nuke | 178 | 43% | 1.09 | 17.0 |
| Vertigo | 113 | 45% | 1.13 | 18.1 |
| Overpass | 62 | 50% | 1.14 | 17.6 |
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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–7 | 0.09 | 24% | 27 Aug → | |
| dust2 | 13–9 | -0.02 | 33% | 25 Aug → | |
| dust2 | 13–7 | -0.02 | 16% | 21 Aug → | |
| dust2 | 13–8 | 0.05 | 31% | 20 Aug → | |
| inferno | 11–13 | 0.04 | 25% | 13 Aug → | |
| mirage | 3–13 | -0.07 | 35% | 12 Aug → | |
| mirage | 3–13 | 0.03 | 27% | 12 Aug → | |
| dust2 | 13–9 | 0.03 | 36% | 12 Aug → | |
| ancient | 7–13 | -0.04 | 34% | 11 Aug → | |
| mirage | 13–16 | -0.00 | 37% | 8 Aug → | |
| inferno | 13–16 | 0.05 | 30% | 3 Aug → | |
| ancient | 11–13 | 0.04 | 24% | 2 Aug → | |
| inferno | 13–11 | 0.02 | 33% | 26 Jul → | |
| inferno | 13–2 | 0.02 | 25% | 11 Jul → | |
| mirage | 19–17 | -0.01 | 24% | 3 Jul → | |
| dust2 | 9–13 | 0.03 | 46% | 4 May → | |
| ancient | 13–7 | 0.02 | 42% | 30 Apr → | |
| mirage | 13–16 | 0.03 | 19% | 28 Apr → | |
| ancient | 6–13 | -0.00 | 41% | 22 Apr → | |
| dust2 | 16–14 | 0.01 | 60% | 14 Apr → | |
| nuke | 12–16 | -0.01 | 31% | 13 Apr → | |
| mirage | 13–11 | 0.07 | 33% | 6 Apr → | |
| nuke | 12–12 | 0.05 | 38% | 3 Apr → | |
| anubis | 3–13 | 0.01 | 44% | 2 Apr → | |
| mirage | 13–8 | 0.07 | 52% | 1 Apr → | |
| mirage | 13–5 | 0.13 | 44% | 1 Apr → | |
| office | 7–13 | 0.10 | 40% | 1 Apr → | |
| ancient | 3–13 | -0.01 | 52% | 1 Apr → | |
| inferno | 13–10 | 0.03 | 25% | 30 Mar → | |
| ancient | 13–10 | 0.04 | 33% | 29 Mar → | |
| mirage | 7–13 | 0.04 | 27% | 26 Mar → | |
| nuke | 5–13 | -0.08 | 58% | 21 Mar → | |
| mirage | 13–5 | 0.10 | 40% | 18 Mar → | |
| dust2 | 13–11 | 0.02 | 44% | 17 Mar → | |
| vertigo | 9–3 | 0.31 | 50% | 15 Mar → | |
| ancient | 14–16 | -0.06 | 19% | 13 Mar → | |
| inferno | 13–8 | -0.07 | 19% | 13 Mar → | |
| dust2 | 8–13 | 0.04 | 35% | 10 Mar → | |
| ancient | 7–13 | -0.01 | 18% | 10 Mar → | |
| ancient | 11–13 | 0.01 | 27% | 10 Mar → | |
| ancient | 16–14 | 0.04 | 37% | 9 Mar → | |
| ancient | 13–7 | 0.06 | 29% | 9 Mar → | |
| anubis | 13–7 | -0.09 | 20% | 4 Mar → | |
| nuke | 25–23 | 0.00 | 27% | 4 Mar → | |
| dust2 | 13–3 | -0.03 | 0% | 3 Mar → | |
| mirage | 4–13 | 0.00 | 26% | 2 Mar → | |
| mirage | 13–11 | -0.00 | 30% | 24 Feb → | |
| mirage | 13–10 | 0.06 | 33% | 24 Feb → | |
| office | 13–1 | 0.16 | 48% | 18 Feb → | |
| train | 13–0 | -0.01 | 38% | 18 Feb → | |
| ancient | 13–3 | 0.19 | 43% | 18 Feb → | |
| dust2 | 13–1 | 0.15 | 45% | 18 Feb → | |
| dust2 | 13–7 | 0.07 | 13% | 18 Feb → | |
| mirage | 13–11 | -0.01 | 31% | 17 Feb → | |
| ancient | 11–13 | 0.03 | 22% | 16 Feb → | |
| anubis | 11–13 | 0.03 | 30% | 16 Feb → | |
| dust2 | 8–13 | -0.01 | 42% | 14 Feb → | |
| anubis | 9–13 | -0.07 | 31% | 10 Feb → | |
| mirage | 2–13 | -0.07 | 20% | 9 Feb → | |
| ancient | 7–13 | 0.11 | 33% | 8 Feb → | |
| mirage | 13–8 | 0.06 | 53% | 5 Feb → | |
| inferno | 11–13 | 0.01 | 31% | 2 Feb → | |
| anubis | 16–13 | 0.01 | 39% | 18 Jan → | |
| nuke | 13–11 | 0.08 | 27% | 18 Jan → | |
| ancient | 13–9 | -0.00 | 41% | 18 Jan → | |
| mirage | 13–9 | 0.12 | 38% | 12 Jan → | |
| dust2 | 13–11 | 0.01 | 34% | 12 Jan → | |
| inferno | 13–11 | 0.06 | 43% | 3 Jan → | |
| rooftop | 8–8 | 0.23 | 26% | 3 Jan → | |
| overpass | 13–9 | 0.02 | 44% | 3 Jan → | |
| dust2 | 13–9 | 0.07 | 38% | 2 Jan → | |
| train | 13–6 | 0.07 | 48% | 1 Jan → | |
| office | 7–13 | 0.17 | 50% | 1 Jan → | |
| dust2 | 13–8 | 0.09 | 49% | 1 Jan → | |
| nuke | 13–11 | -0.04 | 30% | 21 Dec → | |
| dust2 | 11–13 | 0.02 | 37% | 16 Dec → | |
| dust2 | 13–11 | 0.01 | 38% | 15 Dec → | |
| inferno | 16–14 | 0.04 | 30% | 5 Dec → | |
| dust2 | 13–8 | 0.04 | 60% | 4 Dec → | |
| dust2 | 7–13 | 0.05 | 37% | 1 Dec → | |
| inferno | 13–9 | 0.00 | 25% | 30 Nov → | |
| nuke | 13–16 | 0.06 | 62% | 30 Nov → | |
| inferno | 13–10 | 0.00 | 25% | 28 Nov → | |
| ancient | 16–14 | 0.04 | 30% | 27 Nov → | |
| dust2 | 7–13 | 0.07 | 27% | 26 Nov → | |
| dust2 | 13–11 | 0.06 | 39% | 26 Nov → | |
| inferno | 13–6 | 0.21 | 39% | 26 Nov → | |
| inferno | 13–9 | -0.02 | 37% | 22 Nov → | |
| dust2 | 13–6 | 0.12 | 34% | 20 Nov → | |
| mirage | 2–13 | -0.03 | 31% | 18 Nov → | |
| dust2 | 7–13 | 0.04 | 28% | 18 Nov → | |
| ancient | 9–13 | 0.02 | 34% | 18 Nov → | |
| office | 13–8 | 0.07 | 41% | 11 Nov → | |
| train | 13–2 | 0.10 | 65% | 11 Nov → | |
| nuke | 4–9 | 0.02 | 22% | 11 Nov → | |
| dust2 | 13–3 | 0.15 | 37% | 11 Nov → | |
| dust2 | 11–13 | 0.04 | 31% | 10 Nov → | |
| dust2 | 13–1 | 0.21 | 39% | 10 Nov → | |
| inferno | 13–10 | 0.01 | 22% | 3 Nov → | |
| mirage | 13–10 | 0.02 | 17% | 3 Nov → |
Match data via Leetify.