218 — CS2 Stats
76561199447423895[U:1:1487158167]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 38.9% | 44.2% | 44.9% | 6.0% short |
| Shot accuracy | 2.5% | 11.2% | 11.8% | 9.3% short |
| Kill/death ratio | 0.90 | 1.04 | 1.04 | 0.14 short |
| Match win rate | 38.3% | 45.3% | 45.3% | 6.9% short |
This profile sits below the typical Level 6 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 87% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: 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
Reaction time. 586ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 22 | 13–9 | 59% | -0.01 | |
| A | 17 | 10–7 | 59% | -0.02 | |
| A | 16 | 10–6 | 63% | -0.01 | |
| B | 14 | 7–7 | 50% | 0.03 | |
| S | 13 | 9–4 | 69% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.02 |
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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 34 | 50% | 1.05 | 16.1 |
| Dust2 | 16 | 62% | 1.16 | 16.4 |
| Ancient | 10 | 70% | 1.09 | 14.0 |
| Anubis | 9 | 22% | 1.07 | 16.3 |
| Cache | 6 | 67% | 1.21 | 13.7 |
| Inferno | 4 | 50% | 1.06 | 16.3 |
| Nuke | 2 | 50% | 0.66 | 10.5 |
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
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 29.5997% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.14 | 13% | 27 Aug → | ||
| 16–13 | -0.01 | 11% | 26 Aug → | ||
| 13–8 | -0.02 | 16% | 24 Aug → | ||
| 8–13 | -0.02 | 17% | 24 Aug → | ||
| 7–13 | -0.04 | 5% | 22 Aug → | ||
| 13–7 | 0.05 | 17% | 21 Aug → | ||
| 16–13 | -0.05 | 17% | 21 Aug → | ||
| 7–8 | -0.12 | 15% | 21 Aug → | ||
| 13–10 | -0.04 | 16% | 20 Aug → | ||
| 13–6 | 0.02 | 28% | 20 Aug → | ||
| 0–13 | -0.09 | 6% | 20 Aug → | ||
| 3–3 | -0.07 | 20% | 15 Aug → | ||
| 13–6 | -0.05 | 22% | 15 Aug → | ||
| 13–9 | 0.01 | 13% | 9 Jul → | ||
| 9–13 | -0.04 | 17% | 6 Jul → | ||
| 6–13 | -0.04 | 13% | 4 Jul → | ||
| 13–11 | -0.02 | 17% | 3 Jul → | ||
| 13–11 | -0.05 | 24% | 3 Jul → | ||
| 4–0 | -0.01 | 33% | 1 Jul → | ||
| 13–7 | 0.00 | 17% | 30 Jun → | ||
| 13–7 | 0.05 | 16% | 21 Jun → | ||
| 2–13 | -0.04 | 20% | 16 Jun → | ||
| 13–7 | 0.00 | 17% | 29 May → | ||
| 10–13 | -0.02 | 28% | 26 May → | ||
| 13–11 | 0.02 | 16% | 25 May → | ||
| 13–8 | 0.07 | 12% | 25 May → | ||
| 13–4 | 0.15 | 9% | 24 May → | ||
| 13–6 | 0.04 | 15% | 23 May → | ||
| 13–10 | -0.01 | 16% | 23 May → | ||
| 13–8 | 0.01 | 16% | 23 May → | ||
| 5–13 | -0.05 | 25% | 23 May → | ||
| 11–13 | 0.03 | 14% | 22 May → | ||
| 13–2 | 0.12 | 21% | 22 May → | ||
| 10–13 | -0.08 | 9% | 22 May → | ||
| 13–6 | 0.10 | 18% | 22 May → | ||
| 13–11 | -0.04 | 7% | 21 May → | ||
| 13–11 | -0.07 | 11% | 21 May → | ||
| 13–11 | -0.01 | 8% | 21 May → | ||
| 15–15 | -0.01 | 18% | 17 May → | ||
| 11–13 | 0.07 | 12% | 17 May → | ||
| 5–13 | 0.02 | 12% | 16 May → | ||
| 13–5 | 0.02 | 12% | 16 May → | ||
| 11–13 | -0.00 | 15% | 15 May → | ||
| 13–11 | 0.03 | 14% | 15 May → | ||
| 12–12 | -0.01 | 15% | 15 May → | ||
| 13–8 | -0.01 | 14% | 14 May → | ||
| 13–11 | 0.01 | 13% | 10 May → | ||
| 13–8 | -0.01 | 18% | 10 May → | ||
| 13–0 | 0.11 | 17% | 8 May → | ||
| 13–8 | 0.02 | 11% | 3 May → | ||
| 12–12 | 0.01 | 18% | 2 May → | ||
| 5–13 | 0.00 | 15% | 2 May → | ||
| 6–13 | 0.10 | 14% | 2 May → | ||
| 16–13 | -0.02 | 17% | 2 May → | ||
| 13–10 | 0.04 | 16% | 1 May → | ||
| 13–9 | -0.02 | 8% | 1 May → | ||
| 12–12 | 0.10 | 17% | 1 May → | ||
| 13–7 | -0.08 | 23% | 26 Apr → | ||
| 13–11 | 0.03 | 17% | 25 Apr → | ||
| 13–9 | -0.01 | 19% | 25 Apr → | ||
| 5–13 | 0.03 | 18% | 25 Apr → | ||
| 13–10 | -0.04 | 13% | 24 Apr → | ||
| 7–13 | -0.03 | 22% | 24 Apr → | ||
| 13–7 | -0.00 | 10% | 24 Apr → | ||
| 13–11 | -0.01 | 10% | 19 Apr → | ||
| 7–13 | -0.03 | 4% | 19 Apr → | ||
| 4–13 | -0.08 | 8% | 19 Apr → | ||
| 13–16 | 0.07 | 17% | 18 Apr → | ||
| 6–13 | -0.05 | 9% | 18 Apr → | ||
| 13–9 | -0.01 | 11% | 18 Apr → | ||
| 10–13 | -0.02 | 6% | 17 Apr → | ||
| 13–5 | -0.01 | 9% | 17 Apr → | ||
| 13–7 | 0.04 | 11% | 17 Apr → | ||
| 13–8 | -0.02 | 7% | 17 Apr → | ||
| 13–3 | 0.01 | 23% | 14 Apr → | ||
| 13–8 | -0.02 | 10% | 14 Apr → | ||
| 13–3 | -0.01 | 9% | 13 Apr → | ||
| 13–5 | 0.06 | 22% | 12 Apr → | ||
| 12–12 | -0.01 | 8% | 12 Apr → | ||
| 13–9 | 0.03 | 18% | 12 Apr → | ||
| 6–13 | -0.07 | 6% | 12 Apr → | ||
| 8–13 | -0.07 | 7% | 12 Apr → | ||
| 13–6 | 0.04 | 13% | 11 Apr → | ||
| 13–8 | -0.03 | 21% | 11 Apr → | ||
| 10–13 | -0.06 | 9% | 11 Apr → | ||
| 11–13 | -0.02 | 16% | 10 Apr → | ||
| 10–13 | -0.03 | 15% | 9 Apr → | ||
| 7–13 | -0.05 | 16% | 8 Apr → | ||
| 16–14 | 0.04 | 12% | 6 Apr → | ||
| 13–7 | 0.01 | 19% | 5 Apr → | ||
| 11–13 | -0.01 | 11% | 1 Apr → | ||
| 14–16 | -0.05 | 10% | 31 Mar → | ||
| 12–16 | 0.01 | 16% | 31 Mar → | ||
| 4–13 | 0.17 | 15% | 31 Mar → | ||
| 6–13 | -0.06 | 11% | 31 Mar → | ||
| 13–4 | 0.02 | 24% | 31 Mar → | ||
| 11–13 | -0.00 | 17% | 31 Mar → | ||
| 9–13 | -0.01 | 19% | 30 Mar → | ||
| 13–11 | -0.00 | 10% | 29 Mar → | ||
| 13–4 | 0.03 | 10% | 29 Mar → |
Match data via Leetify.