BDN — CS2 Stats
NL76561198269369416[U:1:309103688]Steam profile ↗
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 49.8% | 49.0% | 52.0% | 2.2% short |
| Shot accuracy | 11.4% | 13.1% | 13.7% | 2.3% short |
| Kill/death ratio | 0.94 | 1.08 | 1.08 | 0.14 short |
| Match win rate | 37.9% | 46.9% | 48.8% | 10.9% short |
This profile sits below the typical Level 10 player on every metric we can compare.
Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 94% playstyle similarity
Most alike: opening-fight frequency, 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
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
Reaction time. 620ms 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 (×1.00 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 | 22 | 10–12 | 45% | 0.01 | |
| A | 21 | 12–9 | 57% | 0.01 | |
| D | 19 | 6–13 | 32% | 0.00 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| S | 13 | 9–4 | 69% | -0.01 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (32% over 19). 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 resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 142 | 57% | 1.09 | 15.4 |
| Mirage | 129 | 50% | 1.08 | 15.3 |
| Vertigo | 99 | 47% | 1.01 | 14.7 |
| Ancient | 97 | 46% | 1.06 | 15.4 |
| Inferno | 79 | 43% | 1.00 | 15.6 |
| Nuke | 48 | 44% | 0.96 | 13.5 |
| Overpass | 45 | 67% | 0.96 | 13.4 |
| Dust2 | 45 | 47% | 0.90 | 14.1 |
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
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 35.6179% — 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.
32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–12 | 0.02 | 17% | 11 Jul → | ||
| 13–1 | 0.20 | 23% | 5 Jul → | ||
| 13–8 | 0.04 | 23% | 1 Jul → | ||
| 13–2 | 0.03 | 10% | 1 Jul → | ||
| 13–6 | 0.08 | 41% | 30 Jun → | ||
| 8–13 | -0.02 | 26% | 28 Jun → | ||
| 5–13 | -0.05 | 13% | 28 Jun → | ||
| 15–15 | -0.05 | 24% | 27 Jun → | ||
| 6–13 | -0.02 | 20% | 26 Jun → | ||
| 8–13 | 0.05 | 20% | 25 Jun → | ||
| 10–13 | -0.03 | 30% | 16 Jun → | ||
| 13–7 | 0.02 | 21% | 15 Jun → | ||
| 13–6 | -0.02 | 10% | 14 Jun → | ||
| 10–13 | 0.07 | 26% | 11 Jun → | ||
| 6–13 | -0.02 | 29% | 6 Jun → | ||
| 13–10 | -0.02 | 24% | 6 Jun → | ||
| 10–13 | 0.03 | 12% | 6 Jun → | ||
| 13–10 | -0.03 | 24% | 6 Jun → | ||
| 13–8 | 0.04 | 28% | 6 Jun → | ||
| 11–13 | -0.02 | 26% | 5 Jun → | ||
| 13–8 | 0.01 | 34% | 31 May → | ||
| 1–13 | -0.07 | 16% | 31 May → | ||
| 5–13 | 0.01 | 38% | 31 May → | ||
| 13–5 | -0.02 | 43% | 31 May → | ||
| 13–2 | 0.05 | 29% | 30 May → | ||
| 2–13 | -0.02 | 31% | 30 May → | ||
| 13–10 | -0.05 | 24% | 21 May → | ||
| 13–8 | -0.06 | 30% | 21 May → | ||
| 11–1 | 0.08 | 29% | 21 May → | ||
| 10–13 | -0.03 | 24% | 14 May → | ||
| 6–13 | -0.06 | 12% | 14 May → | ||
| 13–5 | 0.11 | 36% | 11 May → | ||
| 13–5 | -0.01 | 22% | 11 May → | ||
| 12–4 | -0.03 | 14% | 11 May → | ||
| 13–3 | -0.01 | 33% | 11 May → | ||
| 7–13 | -0.06 | 26% | 10 May → | ||
| 10–13 | -0.02 | 19% | 7 May → | ||
| 5–13 | -0.04 | 23% | 7 May → | ||
| 13–8 | 0.04 | 17% | 7 May → | ||
| 8–13 | -0.01 | 30% | 7 May → | ||
| 5–13 | -0.03 | 25% | 6 May → | ||
| 6–13 | 0.03 | 21% | 29 Apr → | ||
| 3–13 | -0.04 | 20% | 29 Apr → | ||
| 6–13 | -0.01 | 17% | 24 Apr → | ||
| 11–13 | 0.05 | 19% | 24 Apr → | ||
| 7–13 | 0.06 | 21% | 22 Apr → | ||
| 13–10 | -0.04 | 26% | 19 Apr → | ||
| 15–15 | 0.03 | 24% | 19 Apr → | ||
| 11–13 | 0.02 | 17% | 19 Apr → | ||
| 4–13 | -0.05 | 16% | 18 Apr → | ||
| 13–4 | 0.08 | 18% | 18 Apr → | ||
| 7–13 | -0.05 | 23% | 18 Apr → | ||
| 4–13 | -0.02 | 21% | 18 Apr → | ||
| 13–4 | 0.11 | 16% | 18 Apr → | ||
| 13–10 | -0.00 | 21% | 17 Apr → | ||
| 10–0 | -0.04 | 20% | 17 Apr → | ||
| 13–11 | 0.06 | 20% | 17 Apr → | ||
| 3–13 | -0.02 | 46% | 17 Apr → | ||
| 11–13 | -0.08 | 11% | 15 Apr → | ||
| 10–13 | -0.03 | 14% | 12 Apr → | ||
| 1–10 | -0.16 | 0% | 11 Apr → | ||
| 4–13 | 0.01 | 28% | 4 Apr → | ||
| 7–0 | 0.03 | 25% | 3 Apr → | ||
| 13–1 | 0.02 | 20% | 3 Apr → | ||
| 3–13 | 0.03 | 22% | 2 Apr → | ||
| 13–11 | 0.03 | 19% | 2 Apr → | ||
| 13–4 | 0.04 | 16% | 2 Apr → | ||
| 14–16 | -0.03 | 18% | 30 Mar → | ||
| 10–13 | 0.05 | 22% | 30 Mar → | ||
| 13–3 | 0.01 | 14% | 29 Mar → | ||
| 13–5 | 0.01 | 20% | 29 Mar → | ||
| 13–4 | 0.07 | 10% | 28 Mar → | ||
| 9–13 | -0.02 | 20% | 27 Mar → | ||
| 9–13 | -0.05 | 26% | 27 Mar → | ||
| 7–13 | -0.04 | 23% | 25 Mar → | ||
| 13–1 | 0.01 | 24% | 25 Mar → | ||
| 11–13 | 0.03 | 19% | 23 Mar → | ||
| 8–13 | 0.02 | 28% | 22 Mar → | ||
| 13–11 | 0.07 | 24% | 21 Mar → | ||
| 13–11 | 0.02 | 30% | 21 Mar → | ||
| 13–2 | 0.08 | 23% | 21 Mar → | ||
| 13–5 | -0.04 | 46% | 21 Mar → | ||
| 13–7 | -0.03 | 40% | 19 Mar → | ||
| 13–10 | 0.02 | 16% | 19 Mar → | ||
| 13–8 | -0.04 | 21% | 16 Mar → | ||
| 13–2 | 0.02 | 15% | 16 Mar → | ||
| 3–13 | -0.06 | 19% | 14 Mar → | ||
| 16–12 | -0.02 | 19% | 14 Mar → | ||
| 8–3 | 0.05 | 17% | 14 Mar → | ||
| 13–11 | 0.01 | 29% | 14 Mar → | ||
| 13–9 | -0.01 | 10% | 9 Mar → | ||
| 13–5 | 0.07 | 22% | 7 Mar → | ||
| 4–13 | -0.01 | 31% | 28 Feb → | ||
| 9–13 | -0.07 | 24% | 21 Feb → | ||
| 11–13 | -0.02 | 8% | 18 Feb → | ||
| 8–13 | -0.09 | 10% | 16 Feb → | ||
| 7–13 | 0.03 | 26% | 15 Feb → | ||
| 13–8 | 0.05 | 14% | 15 Feb → | ||
| 14–16 | -0.03 | 21% | 14 Feb → | ||
| 13–10 | -0.01 | 23% | 14 Feb → |
Match data via Leetify.