NaToSaphiX — CS2 Stats
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Rating over time
Faceit ELO
- At peak — 3,289
- Next: 3,500 ELO at 3,500 — 211 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 28,574
- Next: Gold band at 30,000 — 1,426 to go
- Reached: Red band · Pink band · Purple band · Blue band
- Red band first seen 2026-08-28
- Pink band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 sh1ro 96% 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
Areas to improve
T-side openings. Opening success drops from 59% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| C | 25 | 10–15 | 40% | 0.07 | |
| C | 18 | 8–10 | 44% | 0.06 | |
| C | 15 | 6–9 | 40% | 0.08 | |
| D | 11 | 2–9 | 18% | 0.06 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.08 | |
| warden | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 337 | 51% | 1.41 | 18.7 |
| Anubis | 267 | 58% | 1.41 | 19.2 |
| Ancient | 254 | 54% | 1.41 | 19.0 |
| Dust2 | 185 | 56% | 1.45 | 19.0 |
| Nuke | 153 | 56% | 1.44 | 18.2 |
| Inferno | 78 | 62% | 1.59 | 20.2 |
| Vertigo | 74 | 55% | 1.39 | 19.2 |
| Overpass | 58 | 60% | 1.48 | 19.8 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 37.8712% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.08 | 25% | 27 Aug → | ||
| 22–20 | -0.03 | 18% | 26 Aug → | ||
| 4–13 | -0.01 | 23% | 22 Aug → | ||
| 13–9 | 0.03 | 20% | 9 Aug → | ||
| 13–4 | 0.05 | 30% | 7 Aug → | ||
| 8–13 | 0.02 | 15% | 7 Aug → | ||
| 11–13 | 0.00 | 26% | 31 Jul → | ||
| 13–11 | 0.02 | 17% | 31 Jul → | ||
| 8–13 | 0.03 | 12% | 31 Jul → | ||
| 13–7 | 0.01 | 31% | 28 Jul → | ||
| 13–9 | 0.03 | 30% | 28 Jul → | ||
| 3–13 | -0.02 | 23% | 27 Jul → | ||
| 13–5 | 0.08 | 26% | 27 Jul → | ||
| 13–6 | -0.00 | 21% | 27 Jul → | ||
| 5–13 | 0.02 | 47% | 21 Jul → | ||
| 13–9 | 0.02 | 20% | 19 Jul → | ||
| 16–12 | 0.04 | 19% | 4 Jun → | ||
| 13–5 | 0.08 | 29% | 1 Jun → | ||
| 10–13 | -0.02 | 20% | 31 May → | ||
| 7–13 | -0.00 | 23% | 25 May → | ||
| 13–10 | -0.02 | 25% | 25 May → | ||
| 6–13 | -0.04 | 25% | 25 May → | ||
| 6–13 | -0.07 | 14% | 22 May → | ||
| 16–19 | 0.00 | 13% | 22 May → | ||
| 13–16 | 0.09 | 19% | 20 May → | ||
| 5–13 | 0.01 | 41% | 20 May → | ||
| 9–13 | 0.01 | 21% | 19 May → | ||
| 13–16 | 0.01 | 32% | 19 May → | ||
| 13–8 | 0.01 | 24% | 15 May → | ||
| 4–13 | 0.00 | 24% | 15 May → | ||
| 13–4 | -0.03 | 19% | 15 May → | ||
| 12–16 | -0.04 | 17% | 14 May → | ||
| 10–13 | -0.03 | 10% | 14 May → | ||
| 10–13 | 0.09 | 43% | 29 Apr → | ||
| 12–12 | 0.09 | 24% | 6 Mar → | ||
| 10–13 | 0.10 | 34% | 6 Mar → | ||
| 8–13 | 0.09 | 33% | 6 Mar → | ||
| 1–13 | 0.05 | 36% | 3 Mar → | ||
| warden | 13–6 | -0.00 | 65% | 22 Feb → | |
| 0–13 | 0.02 | 50% | 22 Feb → | ||
| 13–8 | 0.10 | 27% | 22 Feb → | ||
| 12–12 | 0.10 | 32% | 21 Feb → | ||
| 13–10 | 0.19 | 46% | 21 Feb → | ||
| 13–11 | 0.17 | 37% | 21 Feb → | ||
| 5–13 | -0.01 | 15% | 21 Feb → | ||
| 12–12 | 0.11 | 23% | 20 Feb → | ||
| 13–10 | 0.11 | 32% | 20 Feb → | ||
| 11–13 | 0.01 | 22% | 16 Feb → | ||
| 13–10 | 0.09 | 29% | 14 Feb → | ||
| 13–11 | 0.08 | 30% | 14 Feb → | ||
| 6–13 | 0.07 | 19% | 9 Feb → | ||
| 4–13 | 0.08 | 33% | 7 Feb → | ||
| 3–13 | 0.08 | 23% | 7 Feb → | ||
| 13–5 | 0.19 | 43% | 23 Jan → | ||
| 13–8 | 0.18 | 30% | 21 Jan → | ||
| 12–12 | 0.08 | 28% | 20 Jan → | ||
| 10–13 | 0.06 | 36% | 20 Jan → | ||
| 7–1 | 0.28 | 29% | 20 Jan → | ||
| 13–10 | 0.13 | 26% | 19 Jan → | ||
| 13–11 | 0.06 | 18% | 19 Jan → | ||
| 9–13 | 0.03 | 28% | 18 Jan → | ||
| 2–13 | -0.00 | 27% | 18 Jan → | ||
| 13–8 | 0.19 | 35% | 17 Jan → | ||
| 2–13 | 0.01 | 22% | 17 Jan → | ||
| 13–10 | 0.06 | 41% | 17 Jan → | ||
| 10–13 | 0.05 | 25% | 17 Jan → | ||
| 13–4 | 0.02 | 72% | 16 Jan → | ||
| 12–12 | 0.05 | 42% | 12 Jan → | ||
| 13–4 | 0.18 | 49% | 12 Jan → | ||
| 13–3 | 0.06 | 49% | 12 Jan → | ||
| 13–9 | 0.08 | 49% | 10 Jan → | ||
| 12–12 | 0.07 | 31% | 10 Jan → | ||
| 10–13 | 0.07 | 34% | 8 Jan → | ||
| 13–5 | 0.10 | 28% | 8 Jan → | ||
| 10–13 | 0.05 | 29% | 8 Jan → | ||
| 13–10 | 0.18 | 36% | 5 Jan → | ||
| 12–12 | 0.12 | 39% | 5 Jan → | ||
| 13–11 | 0.12 | 31% | 5 Jan → | ||
| 13–10 | 0.12 | 29% | 4 Jan → | ||
| 13–11 | 0.09 | 29% | 3 Jan → | ||
| 8–13 | -0.00 | 30% | 2 Jan → | ||
| 13–9 | 0.00 | 20% | 2 Jan → | ||
| 6–13 | 0.02 | 19% | 2 Jan → | ||
| 2–13 | 0.08 | 26% | 29 Dec → | ||
| 12–12 | 0.08 | 37% | 29 Dec → | ||
| 13–11 | 0.15 | 40% | 29 Dec → | ||
| 9–13 | 0.09 | 28% | 27 Dec → | ||
| 13–5 | 0.05 | 34% | 21 Dec → | ||
| 13–11 | -0.02 | 29% | 21 Dec → | ||
| 12–12 | 0.10 | 22% | 21 Dec → | ||
| 9–13 | 0.01 | 25% | 21 Dec → | ||
| 3–13 | -0.04 | 12% | 20 Dec → | ||
| 2–13 | -0.03 | 22% | 20 Dec → | ||
| 13–10 | 0.07 | 30% | 19 Dec → | ||
| 9–13 | 0.08 | 30% | 19 Dec → | ||
| 12–12 | 0.12 | 43% | 17 Dec → | ||
| 13–5 | 0.24 | 25% | 17 Dec → | ||
| 13–11 | 0.05 | 37% | 17 Dec → | ||
| 13–2 | 0.18 | 50% | 17 Dec → | ||
| 12–12 | 0.08 | 44% | 8 Dec → |
Match data via Leetify.
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