UCHIHA_Nkey — CS2 Stats
76561198410508775[U:1:450243047]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 53.0% | 52.8% |
| Shot accuracy | 9.8% | 13.7% |
| Kill/death ratio | 0.96 | 1.08 |
| Match win rate | 47.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 93% 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
Areas to improve
Reaction time. 570ms 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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 32 | 16–16 | 50% | 0.03 | |
| A | 22 | 14–8 | 64% | 0.03 | |
| A | 21 | 12–9 | 57% | 0.05 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.06 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (29% over 7). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1167 | 51% | 1.27 | 18.0 |
| Ancient | 706 | 54% | 1.31 | 18.0 |
| Anubis | 657 | 53% | 1.33 | 17.6 |
| Dust2 | 640 | 47% | 1.27 | 17.9 |
| Nuke | 173 | 48% | 1.21 | 17.3 |
| Vertigo | 171 | 53% | 1.29 | 17.8 |
| Overpass | 82 | 52% | 1.19 | 17.2 |
| Inferno | 43 | 56% | 1.25 | 18.4 |
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
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 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | 0.04 | 23% | 20 Aug → | ||
| 9–13 | 0.03 | 22% | 11 Aug → | ||
| 8–8 | 0.10 | 23% | 8 Aug → | ||
| 13–6 | 0.04 | 18% | 5 Aug → | ||
| 7–13 | 0.02 | 22% | 5 Aug → | ||
| 13–9 | 0.02 | 32% | 2 Aug → | ||
| 6–13 | -0.08 | 35% | 30 Jul → | ||
| 9–3 | 0.04 | 0% | 30 Jul → | ||
| 9–13 | -0.01 | 20% | 20 Jul → | ||
| 13–10 | 0.08 | 29% | 17 Jul → | ||
| 7–13 | -0.00 | 26% | 8 Jul → | ||
| 2–13 | -0.09 | 19% | 1 Jul → | ||
| 12–16 | 0.06 | 17% | 11 May → | ||
| 9–7 | 0.02 | 21% | 11 Apr → | ||
| 2–13 | -0.02 | 38% | 9 Apr → | ||
| 13–9 | 0.04 | 24% | 9 Apr → | ||
| 6–13 | 0.03 | 18% | 9 Apr → | ||
| 13–3 | 0.08 | 17% | 9 Apr → | ||
| 10–13 | 0.11 | 15% | 2 Apr → | ||
| 5–13 | -0.03 | 14% | 2 Apr → | ||
| 13–3 | -0.00 | 10% | 29 Mar → | ||
| 13–8 | 0.05 | 10% | 25 Mar → | ||
| 13–3 | 0.02 | 13% | 25 Mar → | ||
| 14–16 | 0.01 | 16% | 20 Mar → | ||
| 3–13 | 0.04 | 26% | 19 Mar → | ||
| 16–14 | 0.10 | 28% | 19 Mar → | ||
| 9–13 | -0.03 | 8% | 16 Mar → | ||
| 8–13 | -0.02 | 20% | 15 Mar → | ||
| 13–7 | 0.10 | 17% | 15 Mar → | ||
| 13–4 | 0.08 | 15% | 15 Mar → | ||
| 13–11 | 0.04 | 29% | 10 Mar → | ||
| 13–8 | 0.06 | 22% | 10 Mar → | ||
| 8–13 | 0.01 | 22% | 4 Mar → | ||
| 13–7 | 0.04 | 13% | 4 Mar → | ||
| 8–13 | 0.08 | 24% | 4 Mar → | ||
| 13–11 | 0.04 | 18% | 28 Feb → | ||
| 13–6 | 0.06 | 28% | 23 Feb → | ||
| 9–13 | 0.05 | 27% | 17 Feb → | ||
| 9–13 | -0.01 | 18% | 17 Feb → | ||
| 13–4 | 0.02 | 9% | 17 Feb → | ||
| 13–9 | 0.07 | 11% | 15 Feb → | ||
| 13–3 | 0.07 | 19% | 13 Feb → | ||
| 5–13 | -0.01 | 19% | 28 Jan → | ||
| 6–13 | 0.02 | 23% | 12 Jan → | ||
| 13–3 | 0.02 | 22% | 12 Jan → | ||
| 12–12 | 0.06 | 16% | 12 Jan → | ||
| 13–11 | 0.04 | 29% | 9 Jan → | ||
| 9–13 | -0.04 | 24% | 15 Dec → | ||
| 2–13 | -0.04 | 31% | 15 Dec → | ||
| 13–11 | 0.11 | 21% | 15 Dec → | ||
| 13–8 | 0.06 | 21% | 25 Nov → | ||
| 8–13 | 0.01 | 13% | 22 Nov → | ||
| 8–8 | 0.04 | 39% | 1 Nov → | ||
| 0–13 | -0.07 | 0% | 1 Nov → | ||
| 0–13 | -0.06 | 43% | 1 Nov → | ||
| 13–3 | 0.06 | 28% | 1 Nov → | ||
| 5–13 | 0.03 | 18% | 12 Oct → | ||
| 13–8 | 0.11 | 31% | 11 Oct → | ||
| 9–13 | 0.01 | 36% | 10 Oct → | ||
| 4–13 | 0.01 | 26% | 9 Oct → | ||
| 4–13 | 0.05 | 43% | 6 Oct → | ||
| 13–6 | -0.03 | 13% | 6 Oct → | ||
| 13–11 | -0.03 | 21% | 5 Oct → | ||
| 13–8 | 0.09 | 35% | 4 Oct → | ||
| 13–10 | 0.05 | 20% | 3 Sept → | ||
| 13–10 | 0.04 | 27% | 3 Sept → | ||
| 10–13 | -0.06 | 15% | 1 Sept → | ||
| 13–1 | 0.08 | 23% | 24 Aug → | ||
| 13–0 | 0.00 | 0% | 17 Aug → | ||
| 15–15 | 0.02 | 32% | 16 Aug → | ||
| 10–13 | -0.00 | 21% | 16 Aug → | ||
| 13–10 | 0.08 | 28% | 12 Aug → | ||
| 13–3 | 0.09 | 24% | 8 Aug → | ||
| 13–7 | 0.08 | 32% | 30 Jul → | ||
| 8–13 | -0.08 | 8% | 27 Jul → | ||
| 13–8 | 0.06 | 17% | 26 Jul → | ||
| 13–11 | 0.10 | 34% | 17 Jul → | ||
| 6–13 | -0.03 | 11% | 16 Jul → | ||
| 10–13 | -0.02 | 19% | 14 Jul → | ||
| 1–13 | -0.05 | 0% | 8 Jul → | ||
| 13–7 | 0.14 | 27% | 4 Jul → | ||
| 13–6 | 0.10 | 23% | 4 Jul → | ||
| 11–13 | 0.06 | 25% | 3 Jul → | ||
| 13–5 | 0.22 | 24% | 3 Jul → | ||
| 9–13 | -0.01 | 20% | 3 Jul → | ||
| 13–9 | 0.04 | 31% | 2 Jul → | ||
| 0–4 | -0.11 | 0% | 1 Jun → | ||
| 13–0 | 0.01 | 17% | 28 May → | ||
| 13–8 | 0.07 | 25% | 21 May → | ||
| 11–13 | 0.07 | 28% | 16 May → | ||
| 13–8 | 0.10 | 11% | 15 May → | ||
| 7–13 | 0.00 | 22% | 10 May → | ||
| 10–13 | -0.00 | 15% | 6 May → | ||
| 13–6 | -0.01 | 17% | 1 May → | ||
| 13–1 | 0.11 | 29% | 26 Apr → | ||
| 13–6 | 0.03 | 28% | 21 Apr → | ||
| 13–10 | 0.11 | 29% | 20 Apr → | ||
| 5–13 | -0.08 | 32% | 3 Apr → | ||
| 13–7 | -0.05 | 34% | 2 Apr → | ||
| 13–6 | 0.12 | 19% | 2 Apr → |
Match data via Leetify.