Boon — CS2 Stats
76561199535945151[U:1:1575679423]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 57.3% | 42.1% | 42.5% | above |
| Shot accuracy | 0.8% | 12.1% | 10.9% | 10.1% short |
| Kill/death ratio | 0.87 | 0.99 | 0.99 | 0.12 short |
| Match win rate | 40.3% | 43.9% | 44.2% | 3.9% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafing
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 81% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower 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
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
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. 687ms 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 5.0/10 (Developing), 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 |
|---|---|---|---|---|---|
 cache | D | 64 | 20–44 | 31% | -0.00 |
 nuke | D | 7 | 0–7 | 0% | -0.01 |
 dust2 | B | 6 | 3–3 | 50% | -0.00 |
| fachwerk | C | 5 | 2–3 | 40% | 0.02 |
 mirage | — | 4 | 1–3 | 25% | 0.00 |
 vertigo | — | 4 | 1–3 | 25% | -0.02 |
 inferno | — | 4 | 1–3 | 25% | 0.00 |
 overpass | — | 2 | 0–2 | 0% | -0.03 |
 anubis | — | 2 | 0–2 | 0% | -0.03 |
 ancient | — | 1 | 1–0 | 100% | -0.00 |
| debris | — | 1 | 1–0 | 100% | 0.21 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (0% over 7). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 35 | 34% | 0.91 | 12.8 |
| Dust2 | 23 | 65% | 1.30 | 14.4 |
| Vertigo | 14 | 43% | 1.03 | 15.3 |
| Inferno | 14 | 29% | 0.75 | 13.0 |
| Nuke | 13 | 54% | 1.00 | 15.3 |
| Anubis | 11 | 36% | 1.03 | 11.9 |
| Ancient | 9 | 56% | 0.89 | 13.4 |
| Cache | 2 | 100% | 0.98 | 13.0 |
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 28.389% — 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.
0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–5 | 0.04 | 20% | 26 Aug → | |
| cache | 8–13 | -0.07 | 12% | 26 Aug → | |
| mirage | 5–13 | 0.02 | 35% | 24 Aug → | |
| dust2 | 13–8 | 0.02 | 19% | 24 Aug → | |
| overpass | 4–13 | 0.01 | 30% | 23 Aug → | |
| overpass | 8–13 | -0.07 | 31% | 23 Aug → | |
| vertigo | 11–13 | -0.01 | 21% | 22 Aug → | |
| vertigo | 9–13 | 0.01 | 19% | 22 Aug → | |
| nuke | 6–13 | -0.06 | 11% | 19 Aug → | |
| vertigo | 10–13 | -0.08 | 28% | 19 Aug → | |
| vertigo | 13–5 | -0.00 | 17% | 18 Aug → | |
| nuke | 9–13 | 0.00 | 31% | 17 Aug → | |
| inferno | 1–13 | -0.09 | 14% | 14 Aug → | |
| cache | 16–14 | -0.02 | 14% | 13 Aug → | |
| ancient | 13–6 | -0.00 | 33% | 12 Aug → | |
| dust2 | 8–13 | -0.05 | 22% | 12 Aug → | |
| cache | 6–13 | -0.03 | 30% | 12 Aug → | |
| nuke | 7–9 | -0.07 | 4% | 8 Aug → | |
| nuke | 9–13 | -0.00 | 15% | 8 Aug → | |
| nuke | 12–12 | -0.01 | 26% | 5 Aug → | |
| nuke | 7–13 | 0.09 | 25% | 5 Aug → | |
| cache | 3–11 | 0.01 | 13% | 5 Aug → | |
| inferno | 8–13 | 0.02 | 12% | 21 Jul → | |
| nuke | 5–13 | -0.01 | 33% | 21 Jul → | |
| mirage | 16–13 | 0.05 | 16% | 21 Jul → | |
| mirage | 11–13 | -0.03 | 22% | 21 Jul → | |
| cache | 9–13 | 0.01 | 23% | 20 Jul → | |
| mirage | 3–13 | -0.04 | 25% | 20 Jul → | |
| cache | 6–13 | 0.07 | 29% | 20 Jul → | |
| dust2 | 13–5 | 0.09 | 23% | 20 Jul → | |
| dust2 | 4–13 | 0.03 | 20% | 20 Jul → | |
| inferno | 13–0 | 0.09 | 28% | 19 Jul → | |
| cache | 13–4 | -0.07 | 29% | 14 Jul → | |
| cache | 1–13 | -0.01 | 19% | 13 Jul → | |
| cache | 10–13 | 0.01 | 16% | 13 Jul → | |
| cache | 12–12 | 0.01 | 34% | 13 Jul → | |
| cache | 13–3 | 0.02 | 26% | 13 Jul → | |
| cache | 13–3 | 0.09 | 23% | 13 Jul → | |
| cache | 9–13 | 0.02 | 23% | 13 Jul → | |
| cache | 12–12 | 0.01 | 19% | 13 Jul → | |
| fachwerk | 3–13 | 0.01 | 8% | 13 Jul → | |
| fachwerk | 13–9 | 0.06 | 27% | 12 Jul → | |
| fachwerk | 9–13 | 0.01 | 30% | 12 Jul → | |
| fachwerk | 7–13 | -0.02 | 27% | 12 Jul → | |
| fachwerk | 13–9 | 0.01 | 30% | 12 Jul → | |
| cache | 10–13 | 0.01 | 44% | 10 Jul → | |
| cache | 8–13 | -0.01 | 23% | 10 Jul → | |
| cache | 13–4 | 0.05 | 27% | 10 Jul → | |
| cache | 5–13 | -0.06 | 16% | 10 Jul → | |
| inferno | 5–13 | -0.02 | 32% | 10 Jul → | |
| cache | 13–7 | 0.07 | 23% | 10 Jul → | |
| debris | 9–2 | 0.21 | 40% | 10 Jul → | |
| cache | 4–13 | -0.05 | 24% | 10 Jul → | |
| cache | 4–13 | -0.01 | 18% | 9 Jul → | |
| cache | 7–13 | 0.04 | 23% | 9 Jul → | |
| cache | 5–13 | -0.03 | 32% | 9 Jul → | |
| cache | 8–13 | -0.02 | 19% | 8 Jul → | |
| cache | 12–12 | -0.01 | 29% | 8 Jul → | |
| cache | 12–12 | 0.04 | 25% | 8 Jul → | |
| cache | 13–5 | -0.02 | 29% | 7 Jul → | |
| cache | 12–12 | -0.06 | 44% | 7 Jul → | |
| cache | 5–13 | -0.01 | 26% | 7 Jul → | |
| cache | 12–12 | -0.02 | 35% | 7 Jul → | |
| cache | 5–13 | -0.02 | 11% | 7 Jul → | |
| cache | 11–13 | -0.04 | 38% | 7 Jul → | |
| dust2 | 13–7 | -0.01 | 33% | 5 Jul → | |
| cache | 13–7 | 0.08 | 32% | 5 Jul → | |
| anubis | 14–16 | 0.02 | 16% | 5 Jul → | |
| cache | 5–13 | -0.03 | 48% | 5 Jul → | |
| cache | 4–13 | -0.08 | 21% | 5 Jul → | |
| cache | 11–13 | 0.02 | 31% | 5 Jul → | |
| cache | 10–13 | 0.00 | 29% | 5 Jul → | |
| cache | 13–3 | 0.04 | 28% | 5 Jul → | |
| cache | 11–13 | 0.04 | 20% | 5 Jul → | |
| cache | 2–13 | -0.07 | 14% | 5 Jul → | |
| cache | 13–11 | 0.04 | 23% | 5 Jul → | |
| cache | 13–10 | -0.10 | 20% | 3 Jul → | |
| cache | 10–13 | 0.01 | 25% | 1 Jul → | |
| cache | 13–8 | -0.07 | 27% | 1 Jul → | |
| cache | 12–12 | -0.04 | 36% | 1 Jul → | |
| cache | 12–12 | -0.03 | 30% | 1 Jul → | |
| cache | 13–6 | 0.04 | 14% | 1 Jul → | |
| cache | 12–12 | -0.07 | 21% | 23 Jun → | |
| cache | 13–10 | -0.02 | 25% | 23 Jun → | |
| cache | 10–13 | -0.04 | 17% | 21 Jun → | |
| cache | 13–3 | 0.14 | 37% | 21 Jun → | |
| cache | 12–12 | 0.09 | 20% | 19 Jun → | |
| cache | 13–10 | -0.02 | 23% | 19 Jun → | |
| cache | 13–4 | -0.03 | 30% | 19 Jun → | |
| cache | 12–12 | 0.01 | 19% | 19 Jun → | |
| anubis | 4–13 | -0.07 | 22% | 18 Jun → | |
| cache | 3–13 | -0.07 | 19% | 14 Jun → | |
| dust2 | 0–13 | -0.11 | 19% | 13 Jun → | |
| cache | 8–13 | -0.07 | 21% | 5 Jun → | |
| cache | 9–13 | -0.06 | 18% | 5 Jun → | |
| cache | 5–8 | 0.04 | 12% | 31 May → | |
| cache | 13–2 | 0.08 | 23% | 31 May → | |
| cache | 13–5 | 0.06 | 24% | 31 May → | |
| cache | 10–13 | -0.00 | 19% | 30 May → | |
| cache | 11–13 | -0.00 | 28% | 30 May → |
Match data via Leetify.