nilo — CS2 Stats
PROHEROICSwedenRiflerSettings & gear profile →
76561198161056567[U:1:200790839]✓ No bans
Rating over time
Faceit ELO
- At peak — 3,877
- Next: 4,000 ELO at 4,000 — 123 to go
- Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
- 3,500 ELO first seen 2026-08-28
- 3,000 ELO 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 · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 96% playstyle similarity
Most alike: aim profile, opening-duel success.
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 93 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.9/10 (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 |
|---|---|---|---|---|---|
| B | 23 | 12–11 | 52% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.03 | |
| C | 18 | 8–10 | 44% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 487 | 64% | 1.48 | 20.1 |
| Ancient | 301 | 66% | 1.43 | 19.6 |
| Dust2 | 133 | 61% | 1.40 | 21.3 |
| Anubis | 118 | 64% | 1.39 | 19.8 |
| Nuke | 93 | 66% | 1.51 | 19.3 |
| Vertigo | 57 | 70% | 1.44 | 19.7 |
| Overpass | 29 | 48% | 1.44 | 18.6 |
| Inferno | 23 | 74% | 1.62 | 18.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.01 | 33% | 9 Aug → | ||
| 9–13 | -0.05 | 21% | 9 Aug → | ||
| 13–11 | 0.10 | 27% | 9 Aug → | ||
| 13–2 | 0.16 | 44% | 9 Aug → | ||
| 13–3 | 0.03 | 26% | 7 Aug → | ||
| 13–6 | 0.09 | 22% | 7 Aug → | ||
| 10–13 | -0.04 | 13% | 7 Aug → | ||
| 13–0 | 0.05 | 21% | 7 Aug → | ||
| 13–2 | -0.00 | 17% | 7 Aug → | ||
| 9–13 | 0.03 | 20% | 25 Jul → | ||
| 8–13 | -0.01 | 28% | 25 Jul → | ||
| 16–12 | 0.04 | 28% | 25 Jul → | ||
| 13–10 | 0.03 | 27% | 24 Jul → | ||
| 13–10 | -0.00 | 24% | 24 Jul → | ||
| 8–13 | -0.00 | 22% | 24 Jul → | ||
| 16–19 | 0.02 | 31% | 24 Jul → | ||
| 13–5 | 0.07 | 30% | 24 Jul → | ||
| 13–10 | -0.04 | 34% | 23 Jul → | ||
| 13–6 | -0.02 | 17% | 23 Jul → | ||
| 8–13 | -0.03 | 27% | 21 Jul → | ||
| 6–13 | -0.01 | 16% | 21 Jul → | ||
| 13–10 | 0.02 | 30% | 21 Jul → | ||
| 14–16 | 0.04 | 30% | 16 Jul → | ||
| 13–11 | 0.02 | 34% | 16 Jul → | ||
| 13–11 | 0.00 | 16% | 16 Jul → | ||
| 13–8 | 0.05 | 38% | 15 Jul → | ||
| 8–13 | -0.01 | 24% | 15 Jul → | ||
| 10–8 | 0.03 | 45% | 15 Jul → | ||
| 3–0 | 0.12 | 30% | 15 Jul → | ||
| 10–13 | 0.03 | 34% | 5 Jul → | ||
| 7–13 | 0.01 | 36% | 26 Jun → | ||
| 9–13 | -0.02 | 22% | 22 Jun → | ||
| 13–7 | 0.03 | 20% | 15 Jun → | ||
| 5–13 | -0.01 | 31% | 4 Jun → | ||
| 11–13 | 0.05 | 34% | 4 Jun → | ||
| 13–5 | 0.07 | 27% | 3 Jun → | ||
| 13–6 | -0.00 | 14% | 3 Jun → | ||
| 11–13 | -0.03 | 34% | 2 Jun → | ||
| 10–13 | 0.00 | 15% | 2 Jun → | ||
| 11–13 | 0.03 | 23% | 28 May → | ||
| 16–12 | 0.01 | 19% | 28 May → | ||
| 7–13 | 0.02 | 29% | 27 May → | ||
| 8–13 | 0.01 | 20% | 12 May → | ||
| 6–13 | -0.02 | 19% | 12 May → | ||
| 13–4 | 0.12 | 25% | 12 May → | ||
| 4–13 | -0.03 | 9% | 11 May → | ||
| 6–13 | -0.05 | 14% | 11 May → | ||
| 7–13 | -0.01 | 18% | 10 May → | ||
| 4–13 | 0.03 | 24% | 10 May → | ||
| 13–11 | 0.09 | 41% | 9 May → | ||
| 13–8 | 0.02 | 24% | 9 May → | ||
| 9–13 | 0.01 | 8% | 26 Apr → | ||
| 13–5 | 0.02 | 30% | 26 Apr → | ||
| 10–13 | 0.00 | 27% | 26 Apr → | ||
| 0–13 | -0.04 | 22% | 26 Apr → | ||
| 13–9 | 0.04 | 22% | 25 Apr → | ||
| 14–16 | 0.01 | 26% | 25 Apr → | ||
| 13–8 | 0.08 | 25% | 25 Apr → | ||
| 13–7 | 0.07 | 36% | 24 Apr → | ||
| 13–9 | 0.03 | 24% | 24 Apr → | ||
| 9–6 | -0.03 | 19% | 23 Apr → | ||
| 9–1 | 0.11 | 42% | 23 Apr → | ||
| 4–13 | -0.03 | 26% | 5 Apr → | ||
| 13–9 | 0.00 | 11% | 3 Apr → | ||
| 11–13 | 0.01 | 25% | 3 Apr → | ||
| 7–13 | 0.02 | 40% | 3 Apr → | ||
| 16–14 | 0.03 | 19% | 3 Apr → | ||
| 13–7 | 0.05 | 29% | 3 Apr → | ||
| 13–4 | 0.06 | 21% | 2 Apr → | ||
| 13–7 | 0.09 | 17% | 2 Apr → | ||
| 7–13 | 0.00 | 38% | 1 Apr → | ||
| 13–8 | 0.06 | 22% | 1 Apr → | ||
| 7–13 | -0.00 | 31% | 1 Apr → | ||
| 14–16 | 0.03 | 17% | 30 Mar → | ||
| 10–13 | 0.04 | 24% | 30 Mar → | ||
| 13–9 | 0.03 | 20% | 30 Mar → | ||
| 13–1 | 0.15 | 30% | 28 Mar → | ||
| 13–4 | 0.09 | 27% | 28 Mar → | ||
| 13–6 | 0.02 | 33% | 28 Mar → | ||
| 11–13 | 0.04 | 17% | 25 Mar → | ||
| 2–10 | -0.04 | 40% | 8 Mar → | ||
| 9–13 | -0.04 | 14% | 8 Mar → | ||
| 6–3 | 0.02 | 21% | 8 Mar → | ||
| 13–3 | 0.09 | 24% | 8 Mar → | ||
| 1–8 | -0.05 | 40% | 7 Mar → | ||
| 13–5 | 0.05 | 17% | 7 Mar → | ||
| 3–13 | -0.07 | 10% | 7 Mar → | ||
| 2–6 | -0.06 | 25% | 7 Mar → | ||
| 13–9 | 0.02 | 35% | 6 Mar → | ||
| 8–13 | -0.01 | 18% | 6 Mar → | ||
| 3–13 | -0.02 | 31% | 6 Mar → | ||
| 13–6 | 0.01 | 26% | 5 Mar → | ||
| 13–5 | -0.00 | 29% | 5 Mar → | ||
| 6–8 | -0.00 | 32% | 4 Mar → | ||
| 13–5 | 0.07 | 39% | 4 Mar → | ||
| 6–1 | 0.10 | 41% | 4 Mar → | ||
| 13–16 | 0.04 | 26% | 3 Mar → | ||
| 20–22 | -0.01 | 17% | 3 Mar → | ||
| 10–13 | -0.03 | 20% | 2 Mar → | ||
| 13–16 | 0.03 | 26% | 2 Mar → |
Match data via Leetify.