AKnatural — CS2 Stats
US76561198037084209[U:1:76818481]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,851), 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 | 34.7% | 41.8% | 42.7% | 8.0% short |
| Shot accuracy | 6.6% | 11.9% | 10.8% | 4.2% short |
| Kill/death ratio | 0.83 | 0.97 | 1.00 | 0.17 short |
| Match win rate | 41.3% | 43.5% | 44.1% | 2.7% short |
This profile sits below the typical Level 4 player on every metric we can compare.
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: +20pp win rate · -0.01 avg rating
Player DNA
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 64% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; 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 41% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 615ms 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 3.6/10 (Learning), 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 | B | 19 | 9–10 | 47% | -0.02 |
 dust2 | C | 13 | 5–8 | 38% | -0.03 |
 nuke | D | 12 | 3–9 | 25% | -0.02 |
 ancient | D | 10 | 3–7 | 30% | -0.04 |
 train | C | 10 | 4–6 | 40% | -0.00 |
 mirage | D | 9 | 3–6 | 33% | -0.03 |
 inferno | C | 8 | 3–5 | 38% | -0.02 |
 vertigo | — | 4 | 2–2 | 50% | -0.01 |
 anubis | — | 3 | 1–2 | 33% | -0.03 |
| office | — | 3 | 1–2 | 33% | -0.08 |
| shelter | — | 2 | 1–1 | 50% | -0.03 |
 overpass | — | 2 | 1–1 | 50% | -0.01 |
| eldorado | — | 1 | 1–0 | 100% | 0.03 |
| debris | — | 1 | 0–1 | 0% | -0.12 |
| boulder | — | 1 | 0–1 | 0% | -0.05 |
| alpine | — | 1 | 0–1 | 0% | -0.05 |
| poseidon | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 12). 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 12 | 42% | 0.75 | 13.3 |
| Dust2 | 11 | 82% | 1.17 | 11.9 |
| Vertigo | 8 | 38% | 0.85 | 12.8 |
| Anubis | 5 | 60% | 0.89 | 8.4 |
| Inferno | 3 | 67% | 0.62 | 10.3 |
| Nuke | 3 | 33% | 0.79 | 14.0 |
| Ancient | 2 | 0% | 0.53 | 10.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.366° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.6992% — below the 15% mark we flag
- 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 0.3424 — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| shelter | 13–10 | 0.02 | 6% | 30 Aug → | |
| vertigo | 13–9 | -0.01 | 9% | 30 Aug → | |
| nuke | 13–4 | 0.01 | 11% | 30 Aug → | |
| mirage | 5–13 | -0.05 | 4% | 30 Aug → | |
| anubis | 6–13 | -0.07 | 5% | 30 Aug → | |
| cache | 13–11 | -0.07 | 10% | 29 Aug → | |
| dust2 | 13–11 | 0.02 | 18% | 29 Aug → | |
| ancient | 10–13 | -0.08 | 10% | 29 Aug → | |
| office | 9–1 | -0.02 | 0% | 29 Aug → | |
| inferno | 13–2 | 0.00 | 2% | 29 Aug → | |
| vertigo | 11–13 | -0.01 | 13% | 29 Aug → | |
| train | 13–5 | 0.05 | 3% | 23 Aug → | |
| nuke | 13–11 | -0.06 | 12% | 23 Aug → | |
| nuke | 8–8 | -0.00 | 7% | 19 Aug → | |
| eldorado | 9–0 | 0.03 | 15% | 19 Aug → | |
| debris | 8–8 | -0.12 | 0% | 19 Aug → | |
| nuke | 12–12 | -0.10 | 4% | 17 Aug → | |
| overpass | 13–2 | 0.05 | 20% | 17 Aug → | |
| train | 13–8 | 0.00 | 9% | 17 Aug → | |
| nuke | 9–13 | -0.02 | 10% | 17 Aug → | |
| train | 12–12 | 0.02 | 6% | 7 Aug → | |
| nuke | 10–13 | 0.05 | 11% | 5 Aug → | |
| cache | 4–13 | -0.03 | 6% | 5 Aug → | |
| inferno | 13–7 | 0.01 | 18% | 5 Aug → | |
| mirage | 4–13 | -0.05 | 15% | 4 Aug → | |
| dust2 | 5–13 | -0.08 | 12% | 3 Aug → | |
| mirage | 13–10 | -0.02 | 6% | 3 Aug → | |
| dust2 | 6–13 | -0.03 | 16% | 3 Aug → | |
| cache | 12–12 | -0.06 | 5% | 2 Aug → | |
| inferno | 10–13 | -0.01 | 19% | 1 Aug → | |
| dust2 | 11–13 | -0.04 | 13% | 31 Jul → | |
| cache | 13–8 | -0.03 | 9% | 31 Jul → | |
| mirage | 9–13 | -0.03 | 0% | 28 Jul → | |
| ancient | 11–13 | -0.05 | 6% | 28 Jul → | |
| cache | 4–13 | -0.02 | 4% | 28 Jul → | |
| dust2 | 13–9 | -0.03 | 5% | 24 Jul → | |
| cache | 13–6 | -0.07 | 6% | 24 Jul → | |
| shelter | 8–13 | -0.08 | 5% | 22 Jul → | |
| boulder | 11–13 | -0.05 | 2% | 22 Jul → | |
| cache | 8–2 | 0.08 | 0% | 3 Jul → | |
| office | 2–13 | -0.15 | 15% | 3 Jul → | |
| cache | 13–9 | -0.01 | 5% | 20 Jun → | |
| ancient | 13–8 | -0.02 | 4% | 19 Jun → | |
| cache | 13–5 | 0.04 | 18% | 19 Jun → | |
| nuke | 10–13 | -0.06 | 2% | 19 Jun → | |
| train | 13–11 | -0.04 | 8% | 19 Jun → | |
| cache | 4–13 | -0.10 | 11% | 4 Jun → | |
| dust2 | 11–13 | 0.02 | 12% | 4 Jun → | |
| cache | 2–8 | -0.03 | 12% | 4 Jun → | |
| cache | 13–11 | -0.03 | 12% | 30 May → | |
| cache | 5–13 | 0.02 | 20% | 29 May → | |
| dust2 | 1–13 | -0.06 | 11% | 25 May → | |
| ancient | 12–16 | -0.03 | 10% | 25 May → | |
| dust2 | 13–11 | -0.01 | 11% | 25 May → | |
| inferno | 13–6 | -0.03 | 12% | 25 May → | |
| mirage | 10–13 | -0.03 | 14% | 25 May → | |
| dust2 | 13–8 | -0.02 | 10% | 23 May → | |
| nuke | 10–13 | -0.02 | 20% | 23 May → | |
| ancient | 13–9 | -0.06 | 8% | 6 May → | |
| cache | 7–13 | -0.09 | 8% | 6 May → | |
| cache | 13–9 | 0.04 | 13% | 5 May → | |
| alpine | 3–13 | -0.05 | 12% | 4 May → | |
| cache | 10–13 | 0.04 | 13% | 4 May → | |
| cache | 6–13 | 0.02 | 13% | 1 May → | |
| cache | 13–11 | -0.01 | 16% | 30 Apr → | |
| cache | 10–13 | -0.07 | 29% | 30 Apr → | |
| dust2 | 2–13 | -0.03 | 16% | 26 Apr → | |
| mirage | 13–8 | -0.03 | 12% | 26 Apr → | |
| train | 5–13 | 0.04 | 18% | 26 Apr → | |
| nuke | 8–13 | -0.06 | 9% | 24 Apr → | |
| train | 4–13 | -0.03 | 12% | 24 Apr → | |
| office | 10–13 | -0.07 | 28% | 22 Apr → | |
| train | 12–12 | -0.04 | 13% | 21 Apr → | |
| dust2 | 9–13 | -0.06 | 10% | 21 Apr → | |
| nuke | 9–13 | -0.03 | 4% | 16 Apr → | |
| poseidon | 6–9 | -0.09 | 6% | 16 Apr → | |
| inferno | 12–12 | -0.02 | 11% | 13 Apr → | |
| mirage | 3–13 | -0.01 | 9% | 13 Apr → | |
| dust2 | 2–13 | -0.04 | 25% | 13 Apr → | |
| nuke | 13–8 | 0.01 | 5% | 12 Apr → | |
| train | 13–6 | 0.01 | 7% | 11 Apr → | |
| dust2 | 13–6 | -0.07 | 13% | 11 Apr → | |
| inferno | 4–13 | -0.06 | 11% | 10 Apr → | |
| vertigo | 13–3 | 0.03 | 22% | 10 Apr → | |
| mirage | 13–7 | 0.03 | 11% | 10 Apr → | |
| vertigo | 6–13 | -0.07 | 13% | 10 Apr → | |
| inferno | 12–12 | -0.06 | 22% | 7 Apr → | |
| train | 6–13 | -0.05 | 18% | 7 Apr → | |
| anubis | 10–13 | -0.07 | 9% | 4 Apr → | |
| inferno | 4–13 | -0.01 | 14% | 3 Apr → | |
| ancient | 6–13 | -0.00 | 10% | 3 Apr → | |
| anubis | 13–8 | 0.06 | 10% | 3 Apr → | |
| ancient | 0–7 | -0.06 | 0% | 1 Apr → | |
| train | 12–12 | -0.02 | 9% | 1 Apr → | |
| nuke | 10–13 | -0.01 | 12% | 1 Apr → | |
| ancient | 13–6 | 0.02 | 7% | 28 Mar → | |
| mirage | 7–13 | -0.07 | 8% | 28 Mar → | |
| ancient | 8–13 | -0.08 | 8% | 28 Mar → | |
| overpass | 6–13 | -0.06 | 17% | 27 Mar → | |
| ancient | 5–13 | -0.06 | 9% | 27 Mar → |
Match data via Leetify.
