Hot Single Nepalese Uncle — CS2 Stats
NP76561199057158304[U:1:1096892576]Steam profile ↗✓ No bans
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.03 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 ropz 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; higher opening-fight frequency.
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.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.02 | |
| D | 17 | 5–12 | 29% | -0.00 | |
| A | 15 | 9–6 | 60% | 0.02 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.02 | |
| S | 10 | 8–2 | 80% | 0.05 | |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Mirage 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.
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3508 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.04 | 32% | 27 Aug → | ||
| 13–5 | 0.14 | 20% | 26 Aug → | ||
| 13–7 | 0.06 | 20% | 25 Aug → | ||
| 13–11 | 0.04 | 13% | 25 Aug → | ||
| 9–13 | -0.03 | 19% | 25 Aug → | ||
| 13–11 | 0.03 | 16% | 25 Aug → | ||
| 13–11 | 0.05 | 13% | 24 Aug → | ||
| 11–13 | -0.00 | 22% | 24 Aug → | ||
| 6–13 | 0.01 | 34% | 24 Aug → | ||
| 13–5 | 0.05 | 13% | 24 Aug → | ||
| 13–4 | -0.07 | 9% | 24 Aug → | ||
| 16–13 | -0.02 | 21% | 24 Aug → | ||
| 8–13 | -0.01 | 28% | 24 Aug → | ||
| 13–10 | -0.02 | 21% | 23 Aug → | ||
| 8–13 | 0.03 | 13% | 23 Aug → | ||
| 11–13 | 0.04 | 25% | 23 Aug → | ||
| 13–7 | 0.06 | 18% | 23 Aug → | ||
| 4–13 | -0.03 | 31% | 23 Aug → | ||
| 6–8 | -0.03 | 39% | 23 Aug → | ||
| 13–5 | 0.11 | 21% | 20 Aug → | ||
| 13–7 | -0.03 | 23% | 20 Aug → | ||
| 13–9 | 0.03 | 24% | 18 Aug → | ||
| 3–13 | 0.05 | 24% | 18 Aug → | ||
| 13–9 | 0.01 | 23% | 18 Aug → | ||
| 4–13 | 0.07 | 27% | 18 Aug → | ||
| 10–13 | 0.09 | 28% | 18 Aug → | ||
| 13–10 | 0.14 | 23% | 17 Aug → | ||
| 6–13 | -0.00 | 10% | 17 Aug → | ||
| 10–13 | -0.01 | 20% | 17 Aug → | ||
| 7–0 | 0.07 | 38% | 17 Aug → | ||
| 10–13 | 0.01 | 15% | 17 Aug → | ||
| 10–13 | -0.02 | 22% | 16 Aug → | ||
| 13–16 | -0.09 | 12% | 16 Aug → | ||
| 6–13 | 0.03 | 18% | 16 Aug → | ||
| 2–13 | -0.03 | 19% | 16 Aug → | ||
| 13–9 | 0.03 | 23% | 12 Aug → | ||
| 13–3 | 0.06 | 23% | 12 Aug → | ||
| 4–13 | -0.09 | 13% | 12 Aug → | ||
| 6–13 | -0.04 | 10% | 12 Aug → | ||
| 13–4 | 0.03 | 27% | 12 Aug → | ||
| 13–5 | 0.03 | 21% | 10 Aug → | ||
| 2–13 | -0.05 | 19% | 8 Aug → | ||
| 10–13 | -0.05 | 31% | 8 Aug → | ||
| 3–13 | -0.04 | 11% | 7 Aug → | ||
| 13–10 | 0.09 | 26% | 7 Aug → | ||
| 6–13 | -0.01 | 16% | 7 Aug → | ||
| 13–11 | -0.03 | 23% | 7 Aug → | ||
| 13–10 | 0.06 | 20% | 5 Aug → | ||
| 13–11 | 0.11 | 29% | 5 Aug → | ||
| 8–13 | -0.04 | 21% | 5 Aug → | ||
| 13–7 | 0.07 | 16% | 4 Aug → | ||
| 13–5 | 0.05 | 35% | 4 Aug → | ||
| 9–13 | 0.04 | 23% | 4 Aug → | ||
| 13–3 | 0.05 | 24% | 4 Aug → | ||
| 13–11 | -0.04 | 29% | 4 Aug → | ||
| 13–4 | 0.05 | 33% | 4 Aug → | ||
| 14–16 | -0.05 | 17% | 4 Aug → | ||
| 13–10 | -0.01 | 24% | 3 Aug → | ||
| 13–6 | 0.04 | 27% | 3 Aug → | ||
| 13–3 | 0.10 | 30% | 3 Aug → | ||
| 13–3 | 0.00 | 15% | 31 Jul → | ||
| 13–2 | 0.01 | 32% | 31 Jul → | ||
| 13–7 | 0.04 | 15% | 31 Jul → | ||
| 13–8 | 0.01 | 20% | 30 Jul → | ||
| 13–3 | -0.02 | 18% | 30 Jul → | ||
| 2–0 | -0.00 | 0% | 30 Jul → | ||
| 1–13 | -0.03 | 16% | 30 Jul → | ||
| 9–13 | 0.02 | 14% | 30 Jul → | ||
| 6–13 | -0.09 | 22% | 30 Jul → | ||
| 16–14 | -0.02 | 27% | 30 Jul → | ||
| 13–16 | -0.04 | 20% | 30 Jul → | ||
| 13–10 | 0.13 | 16% | 30 Jul → | ||
| 9–7 | 0.17 | 23% | 29 Jul → | ||
| 5–13 | -0.03 | 21% | 29 Jul → | ||
| 15–15 | 0.08 | 19% | 29 Jul → | ||
| 13–10 | -0.05 | 22% | 29 Jul → | ||
| 11–13 | -0.01 | 30% | 27 Jul → | ||
| 9–1 | 0.15 | 22% | 27 Jul → | ||
| 13–7 | -0.01 | 10% | 27 Jul → | ||
| 8–13 | 0.03 | 18% | 27 Jul → | ||
| 13–7 | 0.03 | 42% | 24 Jul → | ||
| 9–13 | 0.00 | 24% | 24 Jul → | ||
| 8–13 | -0.04 | 26% | 24 Jul → | ||
| 3–13 | -0.02 | 4% | 24 Jul → | ||
| 13–3 | -0.02 | 21% | 22 Jul → | ||
| 4–13 | -0.05 | 39% | 20 Jul → | ||
| 7–13 | -0.10 | 16% | 20 Jul → | ||
| 16–12 | 0.00 | 16% | 16 Jul → | ||
| 9–13 | 0.02 | 27% | 16 Jul → | ||
| 7–13 | 0.07 | 25% | 16 Jul → | ||
| 13–3 | 0.03 | 21% | 16 Jul → | ||
| 13–6 | 0.01 | 29% | 16 Jul → | ||
| 9–13 | -0.01 | 10% | 16 Jul → | ||
| 13–2 | 0.09 | 18% | 16 Jul → | ||
| 15–15 | 0.06 | 16% | 14 Jul → | ||
| 13–5 | 0.06 | 21% | 14 Jul → | ||
| 13–5 | 0.10 | 18% | 14 Jul → | ||
| 16–14 | 0.04 | 21% | 14 Jul → | ||
| 9–13 | -0.00 | 27% | 13 Jul → | ||
| 9–13 | -0.03 | 22% | 13 Jul → |
Match data via Leetify.