Night King — CS2 Stats
76561198395984854[U:1:435719126]Steam profile ↗✓ No bans
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 |
|---|---|---|
| Headshot rate | 63.4% | 48.1% |
| Shot accuracy | 18.7% | 12.9% |
| Kill/death ratio | 2.09 | 1.08 |
| Match win rate | 50.0% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.08 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 93% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 100 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.
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 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 37 | 26–11 | 70% | 0.08 | |
| S | 18 | 15–3 | 83% | 0.08 | |
| S | 14 | 12–2 | 86% | 0.07 | |
| S | 13 | 12–1 | 92% | 0.06 | |
| B | 10 | 5–5 | 50% | 0.08 | |
| — | 2 | 2–0 | 100% | 0.15 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| fachwerk | — | 1 | 0–1 | 0% | -0.07 |
| boulder | — | 1 | 0–1 | 0% | -0.02 |
| — | 1 | 0–1 | 0% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (50% over 10). 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.
- 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 0.4136 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–2 | 0.00 | 0% | 27 Aug → | ||
| 1–3 | 0.00 | 0% | 27 Aug → | ||
| 13–3 | 0.16 | 50% | 11 Aug → | ||
| 13–8 | 0.21 | 46% | 11 Aug → | ||
| 0–2 | 0.00 | 0% | 11 Aug → | ||
| 2–13 | -0.05 | 80% | 11 Aug → | ||
| 13–8 | 0.10 | 28% | 11 Aug → | ||
| 13–5 | 0.10 | 33% | 11 Aug → | ||
| 2–13 | 0.04 | 50% | 11 Aug → | ||
| 4–13 | 0.05 | 50% | 11 Aug → | ||
| 7–0 | 0.26 | 0% | 11 Aug → | ||
| 13–2 | 0.06 | 75% | 10 Aug → | ||
| 13–0 | 0.01 | 80% | 10 Aug → | ||
| 6–13 | 0.03 | 100% | 10 Aug → | ||
| 13–3 | 0.14 | 64% | 10 Aug → | ||
| 13–4 | 0.16 | 18% | 10 Aug → | ||
| 13–4 | 0.26 | 38% | 10 Aug → | ||
| 13–4 | 0.21 | 35% | 10 Aug → | ||
| 4–12 | 0.12 | 36% | 9 Aug → | ||
| 13–2 | 0.17 | 31% | 9 Aug → | ||
| 13–1 | 0.12 | 33% | 9 Aug → | ||
| 10–1 | 0.10 | 75% | 9 Aug → | ||
| 13–0 | 0.06 | 50% | 9 Aug → | ||
| 4–13 | -0.02 | 15% | 6 Aug → | ||
| fachwerk | 0–13 | -0.07 | 25% | 5 Aug → | |
| boulder | 4–13 | -0.02 | 21% | 5 Aug → | |
| 12–2 | 0.18 | 47% | 5 Aug → | ||
| 2–0 | 0.12 | 100% | 5 Aug → | ||
| 13–0 | 0.10 | 13% | 5 Aug → | ||
| 13–1 | 0.11 | 29% | 5 Aug → | ||
| 13–2 | 0.19 | 30% | 5 Aug → | ||
| 13–1 | 0.24 | 25% | 5 Aug → | ||
| 0–2 | 0.00 | 0% | 5 Aug → | ||
| 3–13 | -0.03 | 50% | 4 Aug → | ||
| 13–9 | 0.16 | 40% | 4 Aug → | ||
| 2–0 | 0.10 | 40% | 4 Aug → | ||
| 13–2 | 0.11 | 33% | 4 Aug → | ||
| 13–2 | 0.20 | 46% | 4 Aug → | ||
| 13–1 | 0.23 | 64% | 4 Aug → | ||
| 13–1 | 0.01 | 42% | 3 Aug → | ||
| 13–4 | 0.24 | 43% | 3 Aug → | ||
| 13–5 | 0.06 | 42% | 3 Aug → | ||
| 13–5 | 0.04 | 4% | 3 Aug → | ||
| 13–4 | 0.02 | 13% | 3 Aug → | ||
| 4–13 | 0.02 | 42% | 3 Aug → | ||
| 13–4 | 0.14 | 59% | 3 Aug → | ||
| 13–0 | 0.04 | 100% | 3 Aug → | ||
| 13–2 | 0.32 | 57% | 2 Aug → | ||
| 13–1 | 0.08 | 36% | 2 Aug → | ||
| 13–1 | 0.08 | 35% | 2 Aug → | ||
| 13–2 | 0.19 | 35% | 2 Aug → | ||
| 13–3 | 0.01 | 21% | 2 Aug → | ||
| 13–5 | 0.04 | 22% | 2 Aug → | ||
| 13–0 | 0.08 | 18% | 2 Aug → | ||
| 13–1 | 0.12 | 22% | 2 Aug → | ||
| 13–3 | 0.08 | 15% | 2 Aug → | ||
| 13–2 | 0.03 | 20% | 2 Aug → | ||
| 13–1 | 0.07 | 31% | 2 Aug → | ||
| 13–6 | 0.16 | 52% | 2 Aug → | ||
| 13–3 | 0.13 | 21% | 2 Aug → | ||
| 13–0 | 0.17 | 33% | 2 Aug → | ||
| 13–1 | 0.11 | 43% | 2 Aug → | ||
| 13–0 | 0.11 | 38% | 2 Aug → | ||
| 13–3 | 0.04 | 8% | 2 Aug → | ||
| 13–1 | 0.10 | 23% | 2 Aug → | ||
| 13–2 | 0.18 | 23% | 2 Aug → | ||
| 2–9 | -0.17 | 0% | 7 Jun → | ||
| 5–13 | 0.02 | 50% | 17 Apr → | ||
| 13–4 | -0.08 | 11% | 17 Apr → | ||
| 13–7 | 0.08 | 45% | 14 Apr → | ||
| 13–8 | 0.07 | 31% | 14 Apr → | ||
| 13–6 | -0.00 | 31% | 13 Apr → | ||
| 6–13 | 0.06 | 43% | 13 Apr → | ||
| 13–6 | 0.04 | 31% | 13 Apr → | ||
| 4–13 | -0.09 | 33% | 13 Apr → | ||
| 13–7 | 0.05 | 47% | 13 Apr → | ||
| 13–6 | 0.03 | 17% | 13 Apr → | ||
| 13–6 | 0.01 | 21% | 13 Apr → | ||
| 8–13 | -0.03 | 33% | 12 Apr → | ||
| 13–8 | 0.00 | 28% | 12 Apr → | ||
| 13–11 | 0.16 | 46% | 11 Apr → | ||
| 0–7 | -0.06 | 0% | 11 Apr → | ||
| 13–5 | 0.03 | 33% | 11 Apr → | ||
| 13–4 | -0.10 | 33% | 11 Apr → | ||
| 8–13 | -0.05 | 23% | 11 Apr → | ||
| 13–8 | 0.10 | 32% | 6 Apr → | ||
| 1–1 | 0.00 | 0% | 5 Apr → | ||
| 13–5 | 0.09 | 75% | 5 Apr → | ||
| 13–1 | 0.04 | 6% | 28 Mar → | ||
| 13–1 | 0.14 | 29% | 28 Mar → | ||
| 13–9 | 0.06 | 45% | 28 Mar → | ||
| 13–4 | -0.01 | 9% | 28 Mar → | ||
| 13–3 | 0.05 | 33% | 28 Mar → | ||
| 1–13 | -0.01 | 30% | 28 Mar → | ||
| 13–0 | 0.06 | 25% | 28 Mar → | ||
| 11–13 | 0.16 | 26% | 27 Mar → | ||
| 13–5 | 0.01 | 37% | 26 Mar → | ||
| 10–13 | 0.05 | 33% | 26 Mar → | ||
| 13–2 | 0.05 | 50% | 26 Mar → | ||
| 1–13 | -0.04 | 29% | 26 Mar → |
Match data via Leetify.