NiVB3X — CS2 Stats
DE76561198162904381[U:1:202638653]Steam profile ↗✓ No bans
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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 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 sh1ro 95% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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 87 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 62% on CT to 46% 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 7.8/10 (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 |
|---|---|---|---|---|---|
| C | 29 | 12–17 | 41% | 0.02 | |
| C | 21 | 8–13 | 38% | 0.02 | |
| B | 13 | 6–7 | 46% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 3 | 0–3 | 0% | 0.00 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 262 | 56% | 1.32 | 17.6 |
| Mirage | 151 | 50% | 1.32 | 18.1 |
| Anubis | 148 | 51% | 1.31 | 17.4 |
| Inferno | 91 | 52% | 1.21 | 16.5 |
| Dust2 | 80 | 60% | 1.43 | 17.6 |
| Overpass | 56 | 68% | 1.35 | 17.3 |
| Nuke | 54 | 52% | 1.60 | 16.3 |
| Train | 33 | 61% | 1.41 | 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
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 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | 0.08 | 22% | 28 Aug → | ||
| 13–10 | 0.04 | 32% | 28 Aug → | ||
| 13–10 | 0.08 | 29% | 28 Aug → | ||
| 5–13 | 0.01 | 15% | 22 Aug → | ||
| 16–14 | 0.02 | 23% | 22 Aug → | ||
| 13–11 | 0.05 | 15% | 22 Aug → | ||
| 13–16 | -0.01 | 29% | 18 Aug → | ||
| 6–13 | 0.01 | 23% | 11 Aug → | ||
| 16–19 | -0.01 | 29% | 2 Aug → | ||
| 11–13 | 0.07 | 30% | 2 Aug → | ||
| 13–9 | -0.01 | 11% | 20 Jul → | ||
| 13–1 | 0.03 | 31% | 5 Jul → | ||
| 13–9 | -0.02 | 33% | 5 Jul → | ||
| 7–13 | -0.00 | 23% | 15 Jun → | ||
| 13–9 | 0.04 | 18% | 15 Jun → | ||
| 4–13 | 0.08 | 13% | 13 Jun → | ||
| 13–9 | 0.06 | 23% | 9 Jun → | ||
| 13–6 | 0.10 | 28% | 5 Jun → | ||
| 11–13 | -0.01 | 30% | 15 May → | ||
| 13–8 | 0.01 | 26% | 7 May → | ||
| 13–11 | 0.09 | 29% | 12 Apr → | ||
| 8–13 | 0.01 | 16% | 12 Apr → | ||
| 15–19 | -0.02 | 21% | 6 Mar → | ||
| 11–13 | -0.01 | 20% | 24 Feb → | ||
| 13–6 | -0.01 | 7% | 25 Jan → | ||
| 13–11 | 0.05 | 30% | 21 Jan → | ||
| 7–13 | -0.06 | 6% | 18 Jan → | ||
| 13–16 | 0.00 | 24% | 26 Dec → | ||
| 13–4 | 0.02 | 20% | 26 Dec → | ||
| 13–11 | -0.02 | 19% | 16 Dec → | ||
| 13–9 | 0.06 | 21% | 5 Dec → | ||
| 11–13 | 0.07 | 18% | 27 Oct → | ||
| 10–13 | -0.06 | 14% | 27 Oct → | ||
| 8–8 | 0.02 | 15% | 23 Oct → | ||
| 12–12 | 0.13 | 22% | 20 Sept → | ||
| 13–4 | 0.11 | 36% | 19 Sept → | ||
| 12–12 | 0.06 | 20% | 19 Sept → | ||
| 6–13 | 0.00 | 8% | 12 Sept → | ||
| 13–6 | 0.05 | 17% | 8 Sept → | ||
| 13–10 | 0.00 | 26% | 6 Sept → | ||
| 13–0 | 0.11 | 22% | 26 Jul → | ||
| 7–13 | -0.00 | 31% | 26 Jul → | ||
| 5–13 | 0.00 | 16% | 20 May → | ||
| 13–16 | -0.00 | 11% | 20 May → | ||
| 4–13 | -0.01 | 23% | 20 May → | ||
| 8–13 | 0.00 | 23% | 16 May → | ||
| 13–7 | 0.07 | 23% | 16 May → | ||
| 16–14 | 0.06 | 15% | 16 May → | ||
| 13–10 | 0.03 | 25% | 15 May → | ||
| 13–5 | 0.01 | 19% | 15 May → | ||
| 8–13 | -0.04 | 32% | 15 May → | ||
| 10–13 | 0.00 | 35% | 8 May → | ||
| 13–9 | 0.04 | 28% | 6 May → | ||
| 13–1 | 0.23 | 19% | 1 May → | ||
| 13–8 | 0.01 | 15% | 29 Apr → | ||
| 13–6 | 0.10 | 20% | 24 Apr → | ||
| 0–0 | 0.00 | 0% | 17 Apr → | ||
| 13–8 | 0.08 | 21% | 15 Apr → | ||
| 10–13 | 0.00 | 30% | 15 Apr → | ||
| 13–7 | 0.02 | 18% | 8 Apr → | ||
| 10–13 | 0.00 | 18% | 7 Apr → | ||
| 7–13 | -0.03 | 13% | 7 Apr → | ||
| 4–13 | 0.12 | 29% | 5 Apr → | ||
| 3–13 | -0.05 | 28% | 5 Apr → | ||
| 13–16 | 0.06 | 38% | 5 Apr → | ||
| 7–13 | 0.00 | 9% | 3 Apr → | ||
| 13–9 | 0.02 | 29% | 29 Mar → | ||
| 13–6 | 0.06 | 27% | 29 Mar → | ||
| 14–16 | 0.00 | 5% | 26 Mar → | ||
| 13–11 | -0.00 | 15% | 26 Mar → | ||
| 11–13 | 0.05 | 28% | 26 Mar → | ||
| 5–13 | 0.01 | 26% | 26 Mar → | ||
| 13–10 | 0.08 | 36% | 23 Mar → | ||
| 10–13 | 0.05 | 20% | 17 Mar → | ||
| 8–13 | -0.02 | 14% | 17 Mar → | ||
| 13–3 | 0.02 | 11% | 10 Feb → | ||
| 9–13 | 0.02 | 15% | 10 Feb → | ||
| 13–7 | 0.06 | 19% | 10 Feb → | ||
| 5–13 | 0.08 | 23% | 10 Feb → | ||
| 2–13 | -0.07 | 19% | 30 Jan → | ||
| 2–13 | -0.07 | 25% | 29 Jan → | ||
| 7–13 | -0.01 | 14% | 28 Jan → | ||
| 10–13 | 0.01 | 20% | 25 Jan → | ||
| 11–13 | -0.03 | 6% | 25 Jan → | ||
| 13–11 | -0.00 | 40% | 22 Jan → | ||
| 13–9 | 0.07 | 27% | 22 Jan → | ||
| 10–13 | 0.05 | 23% | 22 Jan → | ||
| 16–14 | 0.05 | 18% | 22 Jan → | ||
| 8–13 | -0.01 | 10% | 21 Jan → | ||
| 7–13 | -0.06 | 25% | 20 Jan → | ||
| 13–5 | 0.02 | 27% | 20 Jan → | ||
| 13–6 | 0.14 | 31% | 20 Jan → | ||
| 14–16 | 0.05 | 25% | 20 Jan → | ||
| 13–7 | 0.01 | 21% | 18 Jan → | ||
| 10–13 | 0.01 | 21% | 16 Jan → | ||
| 13–9 | 0.05 | 26% | 12 Jan → | ||
| 2–13 | -0.03 | 35% | 12 Jan → | ||
| 13–6 | 0.09 | 23% | 12 Jan → | ||
| 4–13 | 0.02 | 29% | 30 Dec → | ||
| 11–13 | -0.01 | 23% | 30 Dec → |
Match data via Leetify.
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