Nylexis — CS2 Stats
76561198053503671[U:1:93237943]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,336
- Next: 2,500 ELO at 2,500 — 164 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
Premier CS Rating
- At peak — 30,336
- Reached: Gold band · Red band · Pink band · Purple band
- Gold band first seen 2026-08-28
- Red 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.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 b1t 95% 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.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 62% on CT to 31% 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 7.6/10 (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 |
|---|---|---|---|---|---|
| S | 29 | 20–9 | 69% | 0.02 | |
| S | 25 | 17–8 | 68% | 0.01 | |
| S | 15 | 11–4 | 73% | 0.03 | |
| S | 7 | 5–2 | 71% | -0.01 | |
| S | 7 | 5–2 | 71% | 0.05 | |
| S | 5 | 5–0 | 100% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.08 | |
| office | — | 1 | 1–0 | 100% | 0.15 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (60% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 357 | 50% | 1.02 | 15.0 |
| Ancient | 249 | 55% | 1.12 | 16.6 |
| Dust2 | 237 | 52% | 1.07 | 15.9 |
| Anubis | 219 | 53% | 1.05 | 16.0 |
| Inferno | 138 | 52% | 1.19 | 17.3 |
| Nuke | 58 | 53% | 1.10 | 17.8 |
| Vertigo | 46 | 48% | 1.16 | 18.1 |
| Train | 35 | 43% | 1.01 | 15.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.16 | 15% | 27 Aug → | ||
| 13–8 | -0.03 | 26% | 26 Aug → | ||
| 13–10 | -0.04 | 14% | 24 Aug → | ||
| 13–10 | 0.01 | 11% | 24 Aug → | ||
| 5–13 | -0.06 | 6% | 24 Aug → | ||
| 13–11 | 0.07 | 21% | 24 Aug → | ||
| 13–9 | 0.05 | 31% | 23 Aug → | ||
| 13–2 | 0.02 | 17% | 22 Aug → | ||
| 8–13 | 0.02 | 29% | 22 Aug → | ||
| 13–9 | 0.03 | 19% | 21 Aug → | ||
| 13–4 | 0.05 | 14% | 21 Aug → | ||
| 13–7 | 0.00 | 21% | 21 Aug → | ||
| 13–6 | 0.01 | 29% | 21 Aug → | ||
| 11–13 | 0.07 | 19% | 21 Aug → | ||
| 13–9 | 0.07 | 22% | 21 Aug → | ||
| 13–3 | 0.10 | 21% | 21 Aug → | ||
| 13–10 | -0.04 | 20% | 20 Aug → | ||
| 13–8 | 0.04 | 19% | 20 Aug → | ||
| 13–7 | 0.03 | 20% | 20 Aug → | ||
| 16–14 | -0.08 | 11% | 20 Aug → | ||
| 13–10 | 0.02 | 21% | 19 Aug → | ||
| 13–8 | 0.11 | 27% | 19 Aug → | ||
| 12–12 | 0.05 | 17% | 18 Aug → | ||
| 5–13 | 0.08 | 19% | 18 Aug → | ||
| 13–9 | 0.12 | 25% | 18 Aug → | ||
| 9–3 | 0.19 | 21% | 18 Aug → | ||
| 2–3 | -0.02 | 31% | 18 Aug → | ||
| 13–9 | -0.04 | 14% | 17 Aug → | ||
| 4–13 | -0.03 | 22% | 17 Aug → | ||
| 13–5 | 0.05 | 13% | 17 Aug → | ||
| 13–8 | 0.04 | 21% | 17 Aug → | ||
| 12–12 | -0.06 | 31% | 16 Aug → | ||
| 7–2 | -0.05 | 9% | 16 Aug → | ||
| 11–13 | 0.09 | 23% | 15 Aug → | ||
| 13–6 | -0.02 | 9% | 15 Aug → | ||
| 11–13 | -0.09 | 9% | 15 Aug → | ||
| 13–5 | -0.05 | 11% | 15 Aug → | ||
| 13–2 | 0.11 | 11% | 15 Aug → | ||
| 4–13 | -0.11 | 20% | 15 Aug → | ||
| 6–13 | -0.03 | 44% | 14 Aug → | ||
| 13–5 | 0.05 | 13% | 14 Aug → | ||
| 13–4 | 0.04 | 25% | 14 Aug → | ||
| 6–13 | -0.08 | 18% | 14 Aug → | ||
| 13–9 | 0.07 | 24% | 14 Aug → | ||
| 15–19 | -0.00 | 14% | 13 Aug → | ||
| 13–11 | 0.03 | 20% | 12 Aug → | ||
| 9–13 | 0.01 | 19% | 12 Aug → | ||
| 4–13 | 0.02 | 19% | 12 Aug → | ||
| 13–6 | 0.11 | 20% | 12 Aug → | ||
| 13–8 | 0.02 | 14% | 12 Aug → | ||
| 13–2 | -0.01 | 13% | 12 Aug → | ||
| 13–5 | 0.02 | 23% | 12 Aug → | ||
| 12–12 | 0.03 | 10% | 12 Aug → | ||
| 13–9 | -0.07 | 17% | 11 Aug → | ||
| 13–11 | 0.06 | 20% | 11 Aug → | ||
| 13–7 | 0.09 | 9% | 11 Aug → | ||
| 7–13 | -0.04 | 12% | 11 Aug → | ||
| 13–6 | -0.01 | 19% | 10 Aug → | ||
| 13–3 | 0.08 | 36% | 10 Aug → | ||
| 16–13 | 0.00 | 28% | 10 Aug → | ||
| 13–8 | 0.11 | 18% | 10 Aug → | ||
| 13–8 | 0.07 | 18% | 9 Aug → | ||
| 13–10 | 0.00 | 28% | 9 Aug → | ||
| 9–13 | 0.06 | 25% | 9 Aug → | ||
| 13–4 | 0.06 | 29% | 9 Aug → | ||
| 14–16 | -0.07 | 26% | 9 Aug → | ||
| 13–2 | 0.02 | 15% | 9 Aug → | ||
| 13–8 | 0.02 | 19% | 8 Aug → | ||
| 13–4 | 0.11 | 15% | 8 Aug → | ||
| 10–13 | -0.05 | 19% | 8 Aug → | ||
| 11–13 | 0.00 | 12% | 7 Aug → | ||
| 13–1 | 0.07 | 17% | 7 Aug → | ||
| 13–8 | -0.01 | 14% | 7 Aug → | ||
| 13–3 | -0.00 | 37% | 7 Aug → | ||
| 13–10 | -0.04 | 23% | 7 Aug → | ||
| 13–4 | 0.03 | 13% | 6 Aug → | ||
| 3–13 | -0.04 | 25% | 6 Aug → | ||
| 13–8 | 0.07 | 25% | 6 Aug → | ||
| 13–10 | -0.02 | 12% | 5 Aug → | ||
| 16–13 | 0.00 | 17% | 5 Aug → | ||
| 16–14 | 0.03 | 29% | 5 Aug → | ||
| 13–0 | 0.10 | 50% | 5 Aug → | ||
| 13–1 | 0.02 | 24% | 5 Aug → | ||
| 13–11 | -0.03 | 13% | 5 Aug → | ||
| 8–2 | -0.10 | 17% | 5 Aug → | ||
| 5–13 | 0.01 | 30% | 5 Aug → | ||
| 13–5 | 0.02 | 20% | 5 Aug → | ||
| 4–13 | -0.09 | 22% | 4 Aug → | ||
| 13–3 | 0.05 | 12% | 4 Aug → | ||
| 9–13 | -0.07 | 15% | 4 Aug → | ||
| 13–8 | 0.06 | 16% | 3 Aug → | ||
| 11–13 | 0.03 | 25% | 3 Aug → | ||
| 15–15 | -0.01 | 14% | 2 Aug → | ||
| 3–13 | -0.06 | 21% | 2 Aug → | ||
| 13–5 | 0.08 | 11% | 31 Jul → | ||
| 13–9 | 0.01 | 13% | 31 Jul → | ||
| office | 13–9 | 0.15 | 24% | 31 Jul → | |
| 13–8 | -0.00 | 15% | 30 Jul → | ||
| 13–8 | 0.12 | 25% | 30 Jul → | ||
| 13–16 | -0.01 | 22% | 29 Jul → |
Match data via Leetify.