-AMN- — CS2 Stats
76561198262607688[U:1:302341960]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 49.9% | 52.0% |
| Shot accuracy | 16.5% | 13.7% |
| Kill/death ratio | 1.04 | 1.08 |
| Match win rate | 50.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 89% playstyle similarity
Most alike: opening-duel success, utility contribution.
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 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 611ms 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 5.9/10 (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 | 24 | 11–13 | 46% | 0.01 | |
| B | 20 | 10–10 | 50% | -0.01 | |
| B | 16 | 8–8 | 50% | -0.01 | |
| A | 15 | 9–6 | 60% | -0.00 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| D | 8 | 2–6 | 25% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.14 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 479 | 56% | 1.16 | 17.7 |
| Mirage | 422 | 53% | 1.06 | 16.9 |
| Ancient | 189 | 46% | 0.93 | 15.6 |
| Overpass | 115 | 63% | 1.11 | 17.3 |
| Inferno | 55 | 40% | 0.89 | 14.9 |
| Nuke | 36 | 39% | 0.91 | 14.4 |
| Anubis | 31 | 42% | 0.92 | 15.2 |
| Train | 27 | 59% | 0.97 | 15.5 |
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 25.4334% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.05 | 19% | 29 Aug → | ||
| 9–13 | -0.04 | 21% | 26 Aug → | ||
| 13–7 | 0.01 | 36% | 15 Aug → | ||
| 13–2 | 0.14 | 17% | 14 Aug → | ||
| 7–13 | -0.03 | 24% | 14 Aug → | ||
| 5–13 | 0.02 | 31% | 6 Aug → | ||
| 16–12 | 0.00 | 21% | 5 Jun → | ||
| 13–10 | -0.03 | 28% | 5 Jun → | ||
| 13–8 | 0.05 | 28% | 28 May → | ||
| 19–17 | -0.10 | 23% | 20 May → | ||
| 13–7 | 0.04 | 31% | 13 May → | ||
| 13–11 | 0.02 | 18% | 9 May → | ||
| 13–8 | -0.00 | 21% | 8 May → | ||
| 3–13 | -0.04 | 35% | 5 May → | ||
| 6–13 | -0.07 | 19% | 18 Apr → | ||
| 7–13 | 0.03 | 31% | 18 Apr → | ||
| 11–13 | 0.03 | 39% | 18 Apr → | ||
| 19–17 | 0.02 | 28% | 15 Apr → | ||
| 13–8 | -0.01 | 20% | 13 Apr → | ||
| 13–10 | 0.02 | 14% | 13 Apr → | ||
| 13–11 | 0.00 | 21% | 8 Apr → | ||
| 13–3 | -0.00 | 23% | 8 Apr → | ||
| 8–13 | -0.02 | 20% | 2 Apr → | ||
| 9–13 | -0.00 | 31% | 28 Mar → | ||
| 7–13 | -0.05 | 16% | 28 Mar → | ||
| 13–3 | -0.00 | 27% | 26 Mar → | ||
| 13–6 | 0.08 | 33% | 26 Mar → | ||
| 13–16 | 0.01 | 27% | 12 Mar → | ||
| 11–13 | -0.00 | 30% | 6 Mar → | ||
| 13–16 | -0.01 | 25% | 5 Mar → | ||
| 7–13 | -0.01 | 32% | 28 Feb → | ||
| 10–13 | 0.01 | 30% | 20 Feb → | ||
| 2–13 | -0.07 | 38% | 20 Feb → | ||
| 2–13 | -0.05 | 22% | 11 Feb → | ||
| 11–13 | -0.05 | 32% | 10 Feb → | ||
| 11–13 | 0.06 | 67% | 10 Feb → | ||
| 14–16 | -0.05 | 22% | 6 Feb → | ||
| 13–2 | 0.13 | 22% | 25 Jan → | ||
| 13–16 | -0.02 | 21% | 22 Jan → | ||
| 9–13 | -0.00 | 39% | 21 Jan → | ||
| 13–8 | -0.00 | 18% | 12 Jan → | ||
| 13–6 | 0.09 | 22% | 4 Jan → | ||
| 13–7 | -0.03 | 12% | 31 Dec → | ||
| 13–8 | 0.06 | 32% | 31 Dec → | ||
| 13–16 | -0.00 | 16% | 31 Dec → | ||
| 0–10 | -0.08 | 27% | 30 Dec → | ||
| 4–13 | -0.05 | 29% | 30 Dec → | ||
| 13–11 | -0.00 | 13% | 30 Dec → | ||
| 11–13 | 0.02 | 30% | 30 Dec → | ||
| 13–7 | 0.05 | 27% | 29 Dec → | ||
| 22–20 | -0.02 | 19% | 29 Dec → | ||
| 8–13 | 0.02 | 30% | 28 Dec → | ||
| 17–19 | -0.02 | 24% | 24 Dec → | ||
| 13–7 | -0.01 | 18% | 24 Dec → | ||
| 9–13 | -0.01 | 23% | 23 Dec → | ||
| 11–13 | 0.02 | 27% | 10 Dec → | ||
| 16–14 | -0.03 | 32% | 9 Dec → | ||
| 13–9 | -0.00 | 35% | 9 Dec → | ||
| 13–7 | 0.04 | 26% | 6 Dec → | ||
| 13–9 | -0.01 | 24% | 28 Nov → | ||
| 3–13 | 0.00 | 45% | 27 Nov → | ||
| 13–10 | 0.01 | 27% | 26 Nov → | ||
| 6–13 | -0.08 | 19% | 16 Nov → | ||
| 14–16 | 0.02 | 23% | 15 Nov → | ||
| 12–16 | 0.06 | 28% | 10 Nov → | ||
| 7–13 | 0.00 | 19% | 6 Nov → | ||
| 16–14 | -0.01 | 24% | 30 Oct → | ||
| 8–13 | 0.08 | 18% | 29 Oct → | ||
| 5–13 | -0.05 | 24% | 27 Oct → | ||
| 6–13 | -0.05 | 29% | 25 Oct → | ||
| 13–7 | -0.02 | 21% | 18 Oct → | ||
| 19–16 | 0.00 | 32% | 15 Oct → | ||
| 8–13 | -0.01 | 19% | 14 Oct → | ||
| 13–11 | -0.04 | 18% | 12 Oct → | ||
| 9–13 | -0.04 | 33% | 11 Oct → | ||
| 13–10 | 0.03 | 22% | 11 Oct → | ||
| 10–13 | 0.01 | 29% | 10 Oct → | ||
| 13–10 | 0.03 | 33% | 7 Oct → | ||
| 13–8 | 0.00 | 23% | 7 Oct → | ||
| 13–9 | 0.06 | 25% | 7 Oct → | ||
| 11–13 | 0.02 | 22% | 6 Oct → | ||
| 13–9 | 0.01 | 33% | 4 Oct → | ||
| 6–13 | -0.04 | 28% | 4 Oct → | ||
| 13–6 | -0.06 | 21% | 4 Oct → | ||
| 19–17 | 0.05 | 26% | 30 Sept → | ||
| 2–12 | 0.04 | 57% | 30 Sept → | ||
| 9–13 | 0.02 | 19% | 8 Aug → | ||
| 13–10 | -0.02 | 33% | 31 Jul → | ||
| 9–13 | -0.05 | 27% | 20 Jul → | ||
| 10–13 | -0.03 | 29% | 20 Jul → | ||
| 5–13 | -0.07 | 13% | 31 Dec → | ||
| 11–13 | -0.05 | 24% | 31 Dec → | ||
| 13–3 | -0.05 | 24% | 9 Nov → | ||
| 14–13 | -0.13 | 22% | 8 Nov → | ||
| 13–9 | 0.04 | 14% | 28 Oct → | ||
| 9–16 | 0.03 | 29% | 23 Sept → | ||
| 16–10 | 0.06 | 20% | 23 Sept → | ||
| 0–2 | -0.35 | 0% | 22 Sept → | ||
| 4–16 | -0.05 | 20% | 22 Sept → | ||
| 11–16 | 0.07 | 17% | 29 Aug → |
Match data via Leetify.
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