lumanare — CS2 Stats
NF76561198919533564[U:1:959267836]Steam profile ↗✓ No bans
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 | 64.1% | 52.8% |
| Shot accuracy | 4.2% | 13.7% |
| Kill/death ratio | 0.99 | 1.08 |
| Match win rate | 47.2% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 94% playstyle similarity
Most alike: positioning profile, 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 86 — the mechanical foundation is a clear strength.
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 6.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 23 | 7–16 | 30% | 0.01 | |
| S | 22 | 15–7 | 68% | 0.00 | |
| S | 13 | 9–4 | 69% | 0.01 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| D | 6 | 2–4 | 33% | 0.00 | |
| D | 5 | 1–4 | 20% | -0.01 | |
| alpine | — | 1 | 1–0 | 100% | 0.00 |
| aim_rats | — | 1 | 1–0 | 100% | 0.38 |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1157 | 54% | 1.18 | 16.1 |
| Ancient | 798 | 54% | 1.21 | 16.9 |
| Anubis | 431 | 49% | 1.10 | 16.2 |
| Dust2 | 429 | 47% | 1.05 | 14.9 |
| Inferno | 279 | 54% | 1.21 | 17.4 |
| Nuke | 146 | 49% | 1.08 | 15.1 |
| Vertigo | 123 | 51% | 1.24 | 17.1 |
| Overpass | 105 | 48% | 1.30 | 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.5309% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 17–19 | -0.05 | 16% | 27 Aug → | ||
| 17–19 | 0.00 | 17% | 25 Aug → | ||
| 13–5 | 0.07 | 24% | 25 Aug → | ||
| 13–3 | 0.06 | 12% | 25 Aug → | ||
| 11–13 | -0.04 | 20% | 20 Aug → | ||
| 13–8 | -0.01 | 20% | 20 Aug → | ||
| 16–13 | 0.03 | 17% | 19 Aug → | ||
| 13–16 | 0.00 | 18% | 17 Aug → | ||
| 13–16 | -0.05 | 15% | 17 Aug → | ||
| 22–19 | 0.00 | 14% | 16 Aug → | ||
| 16–13 | -0.00 | 29% | 16 Aug → | ||
| 13–5 | -0.01 | 24% | 16 Aug → | ||
| 4–13 | -0.03 | 22% | 16 Aug → | ||
| 19–16 | 0.05 | 18% | 10 Aug → | ||
| 13–8 | -0.00 | 22% | 8 Aug → | ||
| 13–9 | 0.06 | 22% | 8 Aug → | ||
| 11–13 | -0.05 | 15% | 5 Aug → | ||
| 2–13 | -0.13 | 25% | 4 Aug → | ||
| 13–6 | 0.06 | 36% | 27 Jul → | ||
| 6–13 | -0.07 | 12% | 18 Jul → | ||
| 1–13 | -0.10 | 17% | 16 Jul → | ||
| 13–11 | 0.09 | 24% | 16 Jul → | ||
| 11–13 | 0.05 | 20% | 14 Jul → | ||
| 13–7 | 0.03 | 22% | 11 Jul → | ||
| 10–13 | -0.01 | 18% | 2 Jul → | ||
| 13–7 | 0.01 | 18% | 30 Jun → | ||
| 8–13 | -0.01 | 14% | 29 Jun → | ||
| 13–6 | -0.01 | 23% | 26 Jun → | ||
| 13–7 | 0.01 | 20% | 11 Jun → | ||
| 13–7 | 0.09 | 24% | 10 Jun → | ||
| 2–13 | -0.10 | 21% | 3 Jun → | ||
| 7–13 | 0.00 | 32% | 1 Jun → | ||
| 13–7 | -0.05 | 10% | 1 Jun → | ||
| alpine | 13–11 | 0.00 | 22% | 29 May → | |
| 7–13 | -0.05 | 25% | 22 May → | ||
| 13–7 | 0.01 | 14% | 21 May → | ||
| 13–10 | 0.09 | 24% | 20 May → | ||
| 13–3 | 0.12 | 29% | 19 May → | ||
| 11–13 | 0.03 | 23% | 19 May → | ||
| 19–15 | 0.03 | 25% | 19 May → | ||
| 13–6 | 0.03 | 15% | 17 May → | ||
| 13–4 | 0.07 | 9% | 17 May → | ||
| 13–6 | 0.03 | 13% | 17 May → | ||
| 13–11 | 0.05 | 25% | 17 May → | ||
| 5–13 | 0.02 | 29% | 17 May → | ||
| 11–13 | 0.01 | 13% | 17 May → | ||
| 10–13 | -0.03 | 16% | 16 May → | ||
| 7–13 | 0.00 | 32% | 15 May → | ||
| 5–13 | -0.08 | 23% | 15 May → | ||
| 4–13 | -0.03 | 23% | 15 May → | ||
| 7–13 | -0.02 | 22% | 15 May → | ||
| 2–13 | -0.04 | 24% | 15 May → | ||
| 7–13 | -0.01 | 31% | 14 May → | ||
| 10–13 | -0.00 | 15% | 14 May → | ||
| 16–19 | 0.01 | 19% | 6 May → | ||
| 7–13 | -0.04 | 25% | 3 May → | ||
| 13–9 | -0.02 | 15% | 2 May → | ||
| 13–16 | -0.05 | 19% | 29 Apr → | ||
| 13–5 | 0.09 | 26% | 25 Apr → | ||
| 13–2 | 0.06 | 33% | 25 Apr → | ||
| 13–11 | 0.03 | 12% | 21 Apr → | ||
| 11–13 | 0.04 | 23% | 21 Apr → | ||
| 13–11 | 0.04 | 15% | 17 Apr → | ||
| 14–16 | 0.05 | 16% | 17 Apr → | ||
| 13–10 | 0.01 | 24% | 16 Apr → | ||
| 13–8 | 0.04 | 36% | 13 Apr → | ||
| 7–13 | -0.04 | 19% | 8 Apr → | ||
| aim_rats | 13–3 | 0.38 | 59% | 5 Apr → | |
| 13–8 | -0.06 | 16% | 5 Apr → | ||
| 13–5 | -0.06 | 22% | 4 Apr → | ||
| 11–13 | -0.00 | 9% | 31 Mar → | ||
| 13–9 | 0.03 | 19% | 29 Mar → | ||
| 9–13 | -0.00 | 13% | 26 Mar → | ||
| 13–3 | 0.09 | 26% | 24 Mar → | ||
| 8–13 | -0.05 | 19% | 10 Mar → | ||
| 10–13 | 0.06 | 23% | 9 Mar → | ||
| 9–2 | 0.20 | 17% | 8 Mar → | ||
| 6–0 | 0.07 | 10% | 8 Mar → | ||
| 13–9 | -0.02 | 21% | 7 Mar → | ||
| 7–13 | -0.07 | 19% | 5 Mar → | ||
| 4–13 | 0.01 | 10% | 1 Mar → | ||
| 13–6 | 0.11 | 14% | 28 Feb → | ||
| 13–0 | 0.09 | 18% | 27 Feb → | ||
| 13–6 | 0.01 | 26% | 25 Feb → | ||
| 11–13 | -0.01 | 19% | 25 Feb → | ||
| 10–13 | -0.03 | 25% | 18 Feb → | ||
| 5–13 | -0.03 | 19% | 18 Feb → | ||
| 13–9 | 0.06 | 28% | 8 Feb → | ||
| 6–13 | -0.05 | 18% | 7 Feb → | ||
| 13–6 | -0.02 | 18% | 4 Feb → | ||
| 10–13 | -0.00 | 22% | 3 Feb → | ||
| 12–12 | 0.20 | 26% | 3 Feb → | ||
| 13–10 | -0.07 | 12% | 31 Jan → | ||
| 10–13 | 0.03 | 25% | 24 Jan → | ||
| 13–1 | 0.06 | 15% | 20 Jan → | ||
| 13–10 | 0.02 | 12% | 7 Jan → | ||
| 10–13 | -0.03 | 26% | 3 Jan → | ||
| 2–13 | -0.07 | 28% | 2 Jan → | ||
| 13–10 | 0.01 | 20% | 28 Dec → | ||
| 4–13 | -0.00 | 26% | 28 Dec → |
Match data via Leetify.