Nat — CS2 Stats
US76561198170904730[U:1:210639002]Steam profile ↗
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 | 49.6% | 52.8% |
| Shot accuracy | 21.1% | 13.7% |
| Kill/death ratio | 1.24 | 1.08 |
| Match win rate | 57.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp 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 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Reaction time. 581ms 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 5.2/10 (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 |
|---|---|---|---|---|---|
 mirage | S | 20 | 13–7 | 65% | 0.01 |
 ancient | B | 17 | 8–9 | 47% | 0.02 |
 inferno | B | 15 | 8–7 | 53% | -0.01 |
 dust2 | A | 9 | 5–4 | 56% | 0.02 |
 train | A | 8 | 5–3 | 63% | -0.01 |
 overpass | C | 7 | 3–4 | 43% | -0.01 |
| office | A | 5 | 3–2 | 60% | 0.02 |
 anubis | C | 5 | 2–3 | 40% | -0.00 |
 nuke | — | 3 | 2–1 | 67% | 0.00 |
 cache | — | 2 | 0–2 | 0% | -0.01 |
| palacio | — | 2 | 0–2 | 0% | 0.07 |
| grail | — | 2 | 2–0 | 100% | 0.02 |
| warden | — | 1 | 0–1 | 0% | -0.05 |
| alpine | — | 1 | 1–0 | 100% | 0.04 |
| golden | — | 1 | 1–0 | 100% | 0.05 |
 vertigo | — | 1 | 0–1 | 0% | -0.05 |
| edin | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 24 | 50% | 1.02 | 17.2 |
| Mirage | 22 | 41% | 1.06 | 16.4 |
| Ancient | 22 | 77% | 1.43 | 18.4 |
| Inferno | 11 | 64% | 1.60 | 19.2 |
| Vertigo | 8 | 25% | 0.88 | 15.4 |
| Overpass | 6 | 83% | 1.42 | 19.0 |
| Nuke | 3 | 33% | 0.95 | 16.0 |
| Dust2 | 2 | 0% | 1.00 | 17.0 |
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 32.4012% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–7 | -0.00 | 11% | 25 Jul → | |
| dust2 | 11–13 | 0.09 | 23% | 25 Jul → | |
| nuke | 12–12 | 0.01 | 14% | 22 Jun → | |
| mirage | 11–13 | 0.03 | 21% | 14 Jun → | |
| office | 13–10 | 0.04 | 23% | 14 Jun → | |
| ancient | 4–13 | 0.10 | 27% | 31 May → | |
| cache | 3–13 | -0.04 | 19% | 31 May → | |
| warden | 11–13 | -0.05 | 14% | 30 May → | |
| cache | 5–13 | 0.02 | 23% | 30 May → | |
| train | 9–13 | -0.02 | 24% | 26 Apr → | |
| mirage | 13–11 | -0.01 | 18% | 26 Apr → | |
| alpine | 13–6 | 0.04 | 25% | 26 Apr → | |
| ancient | 10–13 | -0.02 | 11% | 26 Apr → | |
| office | 10–13 | -0.01 | 21% | 26 Apr → | |
| dust2 | 13–10 | -0.01 | 22% | 28 Feb → | |
| ancient | 13–8 | 0.03 | 15% | 8 Feb → | |
| inferno | 7–13 | -0.04 | 11% | 8 Feb → | |
| inferno | 5–9 | -0.10 | 18% | 17 Jan → | |
| train | 13–8 | -0.08 | 26% | 3 Jan → | |
| inferno | 13–6 | 0.05 | 14% | 3 Jan → | |
| palacio | 11–13 | 0.10 | 18% | 8 Nov → | |
| dust2 | 13–6 | 0.04 | 16% | 8 Nov → | |
| mirage | 8–13 | 0.00 | 22% | 8 Nov → | |
| overpass | 13–2 | -0.01 | 22% | 2 Nov → | |
| ancient | 13–10 | -0.03 | 10% | 19 Oct → | |
| inferno | 10–13 | -0.02 | 9% | 19 Oct → | |
| ancient | 9–13 | 0.08 | 12% | 19 Oct → | |
| palacio | 10–13 | 0.04 | 13% | 19 Oct → | |
| office | 13–10 | -0.01 | 5% | 19 Oct → | |
| overpass | 10–13 | -0.02 | 13% | 11 Oct → | |
| inferno | 10–13 | 0.02 | 19% | 11 Oct → | |
| mirage | 7–13 | -0.00 | 30% | 6 Oct → | |
| dust2 | 11–13 | -0.02 | 14% | 5 Oct → | |
| train | 13–10 | 0.01 | 15% | 5 Oct → | |
| golden | 13–6 | 0.05 | 16% | 5 Oct → | |
| ancient | 16–13 | 0.04 | 18% | 29 Sept → | |
| mirage | 13–6 | 0.01 | 16% | 29 Sept → | |
| mirage | 13–10 | 0.06 | 11% | 27 Sept → | |
| overpass | 8–13 | -0.02 | 13% | 27 Sept → | |
| train | 13–11 | -0.01 | 8% | 27 Sept → | |
| dust2 | 13–4 | -0.02 | 17% | 27 Sept → | |
| mirage | 13–10 | 0.05 | 24% | 27 Sept → | |
| office | 10–13 | 0.04 | 11% | 27 Sept → | |
| ancient | 1–3 | -0.10 | 100% | 8 Sept → | |
| ancient | 13–16 | -0.04 | 11% | 25 Aug → | |
| inferno | 13–11 | -0.02 | 21% | 24 Aug → | |
| mirage | 13–2 | 0.03 | 23% | 24 Aug → | |
| overpass | 9–13 | -0.06 | 13% | 24 Aug → | |
| inferno | 7–9 | -0.07 | 12% | 24 Aug → | |
| overpass | 7–13 | -0.02 | 25% | 19 Aug → | |
| mirage | 4–13 | -0.09 | 10% | 19 Aug → | |
| train | 16–13 | 0.01 | 15% | 19 Aug → | |
| inferno | 11–13 | 0.00 | 11% | 10 Aug → | |
| overpass | 13–9 | -0.00 | 9% | 10 Aug → | |
| mirage | 13–4 | 0.05 | 22% | 10 Aug → | |
| train | 15–15 | -0.03 | 13% | 10 Aug → | |
| inferno | 13–5 | 0.04 | 23% | 10 Aug → | |
| ancient | 13–1 | 0.06 | 27% | 10 Aug → | |
| ancient | 6–13 | 0.12 | 19% | 27 Jul → | |
| mirage | 13–8 | 0.05 | 25% | 27 Jul → | |
| overpass | 13–8 | 0.10 | 22% | 27 Jul → | |
| anubis | 13–8 | 0.07 | 22% | 13 Jul → | |
| ancient | 13–10 | 0.12 | 17% | 13 Jul → | |
| mirage | 1–8 | -0.07 | 20% | 13 Jul → | |
| inferno | 13–11 | -0.03 | 17% | 13 Jul → | |
| anubis | 8–13 | -0.04 | 3% | 8 Jul → | |
| inferno | 16–12 | 0.03 | 21% | 8 Jul → | |
| ancient | 13–10 | 0.05 | 13% | 7 Jul → | |
| train | 6–13 | -0.02 | 17% | 7 Jul → | |
| ancient | 3–13 | -0.03 | 15% | 21 Jun → | |
| nuke | 13–8 | 0.04 | 10% | 21 Jun → | |
| dust2 | 13–10 | 0.01 | 10% | 20 Jun → | |
| office | 13–9 | 0.02 | 30% | 8 May → | |
| mirage | 13–9 | 0.07 | 20% | 8 May → | |
| grail | 13–2 | 0.06 | 13% | 8 May → | |
| grail | 13–11 | -0.01 | 18% | 8 May → | |
| mirage | 13–5 | 0.00 | 14% | 2 Apr → | |
| inferno | 13–11 | 0.03 | 18% | 2 Apr → | |
| ancient | 5–13 | -0.03 | 11% | 30 Mar → | |
| nuke | 16–14 | -0.04 | 15% | 30 Mar → | |
| inferno | 6–13 | -0.03 | 10% | 29 Mar → | |
| anubis | 5–13 | -0.03 | 8% | 28 Mar → | |
| mirage | 13–6 | 0.02 | 13% | 27 Mar → | |
| mirage | 13–9 | 0.02 | 15% | 27 Mar → | |
| ancient | 13–7 | 0.02 | 16% | 27 Mar → | |
| dust2 | 7–13 | 0.00 | 10% | 23 Mar → | |
| dust2 | 13–5 | 0.07 | 20% | 23 Mar → | |
| mirage | 13–7 | 0.05 | 24% | 23 Mar → | |
| ancient | 7–13 | 0.01 | 10% | 23 Mar → | |
| vertigo | 10–13 | -0.05 | 27% | 8 Mar → | |
| anubis | 1–13 | -0.04 | 14% | 4 Mar → | |
| train | 13–3 | 0.10 | 28% | 4 Mar → | |
| inferno | 13–8 | 0.01 | 21% | 4 Mar → | |
| mirage | 10–13 | -0.01 | 18% | 3 Mar → | |
| inferno | 13–6 | 0.03 | 12% | 2 Mar → | |
| ancient | 13–8 | -0.01 | 24% | 2 Mar → | |
| mirage | 8–13 | -0.05 | 13% | 2 Mar → | |
| anubis | 13–9 | 0.02 | 14% | 2 Mar → | |
| dust2 | 9–13 | 0.02 | 16% | 24 Feb → | |
| edin | 12–12 | -0.01 | 13% | 24 Feb → |
Match data via Leetify.