Nate — CS2 Stats
ZA76561199039216890[U:1:1078951162]Steam profile ↗1 game ban
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 jL 98% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 89 — the mechanical foundation is a clear strength.
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 624ms 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 40 | 24–16 | 60% | 0.06 | |
| C | 19 | 8–11 | 42% | 0.03 | |
| S | 18 | 12–6 | 67% | 0.04 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| S | 5 | 5–0 | 100% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.08 | |
| — | 3 | 1–2 | 33% | -0.04 | |
| — | 2 | 1–1 | 50% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 27 | 41% | 0.94 | 16.1 |
| Ancient | 15 | 40% | 0.97 | 16.0 |
| Inferno | 13 | 54% | 1.14 | 17.9 |
| Dust2 | 12 | 42% | 1.05 | 17.3 |
| Anubis | 5 | 60% | 1.23 | 19.6 |
| Overpass | 5 | 60% | 1.22 | 16.4 |
| Nuke | 3 | 100% | 1.04 | 24.3 |
| Train | 1 | 0% | 0.43 | 6.0 |
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
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 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.05 | 28% | 14 Jul → | ||
| 16–14 | 0.06 | 28% | 10 Jul → | ||
| 4–13 | -0.01 | 22% | 10 Jul → | ||
| 3–13 | 0.04 | 27% | 10 Jul → | ||
| 5–1 | 0.05 | 29% | 10 Jul → | ||
| 13–10 | 0.08 | 30% | 10 Jul → | ||
| 4–13 | -0.08 | 19% | 9 Jul → | ||
| 13–5 | 0.11 | 17% | 9 Jul → | ||
| 13–11 | 0.02 | 19% | 8 Jul → | ||
| 12–12 | 0.06 | 37% | 8 Jul → | ||
| 1–7 | -0.01 | 14% | 6 Jul → | ||
| 4–13 | -0.03 | 14% | 6 Jul → | ||
| 10–13 | 0.04 | 22% | 4 Jul → | ||
| 13–3 | 0.15 | 33% | 4 Jul → | ||
| 11–13 | 0.03 | 18% | 4 Jul → | ||
| 13–6 | 0.05 | 33% | 4 Jul → | ||
| 8–13 | -0.00 | 19% | 2 Jul → | ||
| 13–6 | 0.20 | 25% | 1 Jul → | ||
| 6–13 | 0.03 | 16% | 1 Jul → | ||
| 13–8 | 0.09 | 28% | 1 Jul → | ||
| 1–6 | -0.09 | 40% | 26 Jun → | ||
| 13–10 | 0.03 | 33% | 26 Jun → | ||
| 6–13 | 0.04 | 35% | 26 Jun → | ||
| 16–14 | 0.02 | 26% | 25 Jun → | ||
| 15–15 | 0.02 | 20% | 25 Jun → | ||
| 13–9 | 0.07 | 31% | 24 Jun → | ||
| 13–3 | 0.13 | 13% | 23 Jun → | ||
| 13–2 | 0.03 | 11% | 23 Jun → | ||
| 13–10 | 0.11 | 18% | 23 Jun → | ||
| 13–6 | 0.03 | 20% | 23 Jun → | ||
| 5–13 | -0.04 | 15% | 23 Jun → | ||
| 13–5 | 0.06 | 31% | 22 Jun → | ||
| 13–5 | -0.02 | 24% | 22 Jun → | ||
| 1–13 | -0.05 | 28% | 21 Jun → | ||
| 13–6 | 0.08 | 27% | 21 Jun → | ||
| 13–10 | 0.11 | 29% | 21 Jun → | ||
| 13–8 | 0.14 | 30% | 21 Jun → | ||
| 5–13 | -0.01 | 20% | 21 Jun → | ||
| 16–14 | 0.00 | 21% | 21 Jun → | ||
| 13–2 | 0.07 | 33% | 21 Jun → | ||
| 13–3 | 0.05 | 29% | 19 Jun → | ||
| 7–13 | 0.01 | 24% | 19 Jun → | ||
| 13–5 | 0.10 | 22% | 19 Jun → | ||
| 13–4 | 0.10 | 24% | 18 Jun → | ||
| 13–9 | 0.01 | 19% | 18 Jun → | ||
| 13–4 | 0.11 | 31% | 15 Jun → | ||
| 13–7 | 0.13 | 22% | 15 Jun → | ||
| 13–2 | 0.09 | 20% | 15 Jun → | ||
| 13–7 | 0.13 | 27% | 13 Jun → | ||
| 13–4 | 0.03 | 23% | 12 Jun → | ||
| 13–5 | -0.02 | 18% | 12 Jun → | ||
| 13–10 | -0.01 | 28% | 12 Jun → | ||
| 13–3 | 0.13 | 29% | 12 Jun → | ||
| 7–13 | -0.00 | 21% | 10 Jun → | ||
| 13–4 | 0.20 | 36% | 10 Jun → | ||
| 3–13 | -0.04 | 28% | 7 Jun → | ||
| 10–13 | 0.00 | 13% | 6 Jun → | ||
| 11–13 | -0.02 | 17% | 6 Jun → | ||
| 13–10 | 0.06 | 27% | 5 Jun → | ||
| 13–6 | 0.01 | 33% | 4 Jun → | ||
| 5–3 | 0.04 | 12% | 4 Jun → | ||
| 6–13 | -0.06 | 26% | 4 Jun → | ||
| 15–15 | 0.07 | 19% | 4 Jun → | ||
| 3–13 | 0.02 | 13% | 3 Jun → | ||
| 0–2 | -0.01 | 0% | 3 Jun → | ||
| 13–3 | 0.11 | 18% | 3 Jun → | ||
| 6–13 | -0.02 | 30% | 3 Jun → | ||
| 1–4 | -0.06 | 40% | 2 Jun → | ||
| 13–11 | -0.03 | 29% | 2 Jun → | ||
| 10–13 | 0.08 | 15% | 2 Jun → | ||
| 13–7 | 0.21 | 16% | 2 Jun → | ||
| 15–15 | 0.11 | 15% | 1 Jun → | ||
| 11–13 | 0.04 | 15% | 31 May → | ||
| 13–5 | 0.00 | 18% | 31 May → | ||
| 13–1 | 0.04 | 29% | 31 May → | ||
| 13–5 | 0.07 | 26% | 31 May → | ||
| 15–15 | 0.04 | 23% | 31 May → | ||
| 13–8 | 0.04 | 21% | 31 May → | ||
| 9–13 | 0.05 | 22% | 31 May → | ||
| 14–16 | 0.07 | 14% | 31 May → | ||
| 13–9 | 0.09 | 31% | 31 May → | ||
| 13–3 | 0.09 | 8% | 30 May → | ||
| 13–10 | -0.06 | 3% | 29 May → | ||
| 11–13 | 0.03 | 14% | 29 May → | ||
| 4–13 | -0.09 | 25% | 29 May → | ||
| 13–8 | -0.02 | 25% | 29 May → | ||
| 11–13 | -0.09 | 8% | 29 May → | ||
| 5–13 | -0.08 | 23% | 29 May → | ||
| 4–13 | 0.03 | 17% | 29 May → | ||
| 15–15 | 0.00 | 18% | 28 May → | ||
| 6–1 | 0.10 | 24% | 28 May → | ||
| 13–4 | 0.04 | 13% | 28 May → | ||
| 13–2 | 0.08 | 17% | 25 May → | ||
| 13–5 | 0.08 | 21% | 24 May → | ||
| 10–13 | 0.08 | 30% | 24 May → | ||
| 13–5 | 0.06 | 18% | 23 May → | ||
| 8–13 | -0.09 | 17% | 23 May → | ||
| 13–7 | 0.20 | 48% | 23 May → | ||
| 13–4 | 0.06 | 24% | 23 May → | ||
| 9–13 | -0.07 | 12% | 22 May → |
Match data via Leetify.