Lil'Nokii — CS2 Stats
US76561198362376479[U:1:402110751]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 41.8% | 48.1% | 6.3% short |
| Shot accuracy | 11.6% | 12.9% | 1.2% short |
| Kill/death ratio | 1.00 | 1.08 | 0.08 short |
| Match win rate | 50.4% | 46.5% | above |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.05 avg rating
Player DNA
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 ropz 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; lower aim profile.
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 39% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 608ms 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 4.8/10 (Developing), 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 |
|---|---|---|---|---|---|
| D | 26 | 6–20 | 23% | 0.06 | |
| D | 17 | 4–13 | 24% | 0.05 | |
| D | 15 | 0–15 | 0% | 0.05 | |
| B | 14 | 7–7 | 50% | 0.07 | |
| D | 12 | 2–10 | 17% | 0.04 | |
| D | 7 | 2–5 | 29% | 0.03 | |
| — | 4 | 0–4 | 0% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 0–2 | 0% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 15). Start with the 6 essential Mirage 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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3908% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4489 — below the 0.5 mark we flag
- 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 39.0316% — 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.
0% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.17 | 13% | 27 Aug → | ||
| 3–13 | 0.00 | 27% | 27 Aug → | ||
| 6–13 | 0.06 | 16% | 18 Aug → | ||
| 7–13 | 0.03 | 23% | 18 Aug → | ||
| 9–13 | -0.02 | 18% | 17 Aug → | ||
| 8–13 | -0.01 | 16% | 17 Aug → | ||
| 3–13 | 0.02 | 15% | 17 Aug → | ||
| 13–9 | 0.14 | 9% | 17 Aug → | ||
| 9–13 | -0.03 | 11% | 17 Aug → | ||
| 9–13 | 0.00 | 21% | 15 Aug → | ||
| 7–13 | 0.03 | 17% | 15 Aug → | ||
| 7–13 | 0.17 | 12% | 15 Aug → | ||
| 13–8 | 0.12 | 13% | 13 Aug → | ||
| 7–13 | 0.11 | 14% | 13 Aug → | ||
| 11–13 | 0.07 | 15% | 11 Aug → | ||
| 13–9 | 0.06 | 14% | 11 Aug → | ||
| 6–13 | 0.10 | 19% | 11 Aug → | ||
| 5–13 | 0.04 | 18% | 10 Aug → | ||
| 5–13 | 0.07 | 9% | 9 Aug → | ||
| 15–15 | 0.09 | 9% | 9 Aug → | ||
| 10–13 | 0.00 | 13% | 7 Aug → | ||
| 8–1 | 0.08 | 10% | 7 Aug → | ||
| 13–11 | -0.00 | 10% | 6 Aug → | ||
| 3–13 | 0.04 | 13% | 6 Aug → | ||
| 7–13 | 0.10 | 9% | 5 Aug → | ||
| 5–13 | 0.06 | 15% | 5 Aug → | ||
| 6–13 | 0.05 | 10% | 3 Aug → | ||
| 0–13 | -0.04 | 9% | 3 Aug → | ||
| 5–13 | 0.02 | 21% | 30 Jul → | ||
| 3–13 | 0.10 | 15% | 30 Jul → | ||
| 5–13 | 0.05 | 11% | 28 Jul → | ||
| 13–16 | -0.01 | 19% | 25 Jul → | ||
| 5–13 | 0.04 | 16% | 25 Jul → | ||
| 15–15 | 0.03 | 14% | 24 Jul → | ||
| 13–16 | 0.10 | 22% | 24 Jul → | ||
| 11–13 | 0.03 | 19% | 24 Jul → | ||
| 6–13 | -0.01 | 7% | 24 Jul → | ||
| 13–8 | 0.18 | 16% | 21 Jul → | ||
| 10–13 | -0.03 | 10% | 20 Jul → | ||
| 8–13 | 0.07 | 17% | 20 Jul → | ||
| 1–13 | 0.01 | 19% | 18 Jul → | ||
| 9–13 | 0.06 | 14% | 18 Jul → | ||
| 11–13 | 0.08 | 10% | 18 Jul → | ||
| 0–3 | -0.02 | 50% | 18 Jul → | ||
| 16–14 | 0.13 | 13% | 18 Jul → | ||
| 6–13 | -0.07 | 19% | 15 Jul → | ||
| 5–13 | -0.03 | 22% | 10 Jul → | ||
| 8–13 | -0.04 | 10% | 10 Jul → | ||
| 7–13 | 0.03 | 10% | 9 Jul → | ||
| 13–11 | 0.11 | 8% | 9 Jul → | ||
| 16–13 | 0.01 | 13% | 9 Jul → | ||
| 10–13 | 0.07 | 14% | 7 Jul → | ||
| 4–13 | 0.02 | 11% | 7 Jul → | ||
| 7–9 | 0.08 | 11% | 3 Jul → | ||
| 8–13 | 0.07 | 16% | 3 Jul → | ||
| 4–13 | 0.00 | 15% | 3 Jul → | ||
| 6–13 | 0.06 | 22% | 3 Jul → | ||
| 10–13 | 0.09 | 16% | 3 Jul → | ||
| 3–13 | -0.05 | 11% | 3 Jul → | ||
| 14–16 | 0.10 | 15% | 23 Jun → | ||
| 5–13 | 0.20 | 13% | 20 Jun → | ||
| 13–7 | 0.12 | 13% | 20 Jun → | ||
| 16–14 | 0.11 | 13% | 20 Jun → | ||
| 5–13 | 0.06 | 14% | 20 Jun → | ||
| 6–13 | -0.05 | 16% | 12 Jun → | ||
| 3–13 | -0.02 | 10% | 12 Jun → | ||
| 13–11 | 0.08 | 13% | 12 Jun → | ||
| 8–13 | 0.07 | 18% | 12 Jun → | ||
| 13–9 | 0.13 | 21% | 12 Jun → | ||
| 11–13 | 0.10 | 13% | 12 Jun → | ||
| 13–1 | 0.06 | 4% | 12 Jun → | ||
| 13–5 | 0.01 | 17% | 10 Jun → | ||
| 9–13 | 0.03 | 18% | 10 Jun → | ||
| 9–13 | 0.05 | 8% | 9 Jun → | ||
| 6–13 | 0.02 | 15% | 9 Jun → | ||
| 13–5 | 0.13 | 14% | 9 Jun → | ||
| 13–16 | 0.03 | 13% | 7 Jun → | ||
| 13–11 | 0.09 | 16% | 27 May → | ||
| 5–13 | 0.04 | 15% | 27 May → | ||
| 2–13 | -0.03 | 15% | 24 May → | ||
| 10–13 | 0.02 | 18% | 24 May → | ||
| 5–13 | -0.01 | 9% | 24 May → | ||
| 13–4 | 0.13 | 8% | 24 May → | ||
| 2–13 | -0.01 | 16% | 24 May → | ||
| 3–13 | 0.03 | 8% | 24 May → | ||
| 5–13 | 0.02 | 18% | 24 May → | ||
| 13–6 | 0.01 | 11% | 23 May → | ||
| 15–15 | 0.04 | 20% | 23 May → | ||
| 13–11 | 0.09 | 15% | 21 May → | ||
| 9–13 | 0.08 | 21% | 21 May → | ||
| 6–13 | 0.10 | 16% | 21 May → | ||
| 7–13 | 0.06 | 20% | 21 May → | ||
| 10–13 | 0.07 | 16% | 14 May → | ||
| 13–16 | 0.05 | 16% | 14 May → | ||
| 6–13 | 0.02 | 7% | 13 May → | ||
| 4–13 | 0.00 | 12% | 11 May → | ||
| 2–13 | 0.01 | 10% | 11 May → | ||
| 13–10 | 0.18 | 25% | 9 May → | ||
| 10–13 | 0.07 | 16% | 9 May → | ||
| 10–13 | 0.06 | 27% | 8 May → |
Match data via Leetify.