Dra3k — CS2 Stats
76561198050653569[U:1:90387841]
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 45.8% | 52.8% | 6.9% short |
| Shot accuracy | 19.6% | 13.7% | above |
| Kill/death ratio | 1.27 | 1.08 | above |
| Match win rate | 36.3% | 49.2% | 12.9% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 10 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: -50pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 94% playstyle similarity
Most alike: positioning 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 88 — 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.
T-side openings. Opening success drops from 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 21 | 17–4 | 81% | 0.04 | |
| A | 15 | 9–6 | 60% | 0.05 | |
| S | 14 | 10–4 | 71% | 0.05 | |
| S | 14 | 10–4 | 71% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.04 | |
| S | 12 | 8–4 | 67% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.12 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (56% over 9). Start with the 6 essential Anubis 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 53 | 62% | 1.37 | 20.0 |
| Dust2 | 30 | 60% | 1.51 | 19.3 |
| Inferno | 20 | 55% | 1.53 | 21.1 |
| Ancient | 19 | 47% | 1.14 | 18.6 |
| Nuke | 17 | 65% | 1.44 | 19.0 |
| Overpass | 8 | 50% | 1.24 | 17.4 |
| Anubis | 6 | 67% | 1.48 | 23.5 |
| Train | 5 | 100% | 1.53 | 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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.01 | 16% | 26 Aug → | ||
| 16–13 | 0.05 | 20% | 25 Aug → | ||
| 2–13 | -0.03 | 19% | 25 Aug → | ||
| 10–13 | 0.01 | 24% | 25 Aug → | ||
| 13–10 | 0.04 | 30% | 25 Aug → | ||
| 11–13 | -0.02 | 14% | 25 Aug → | ||
| 10–13 | 0.03 | 18% | 22 Aug → | ||
| 11–13 | 0.03 | 24% | 22 Aug → | ||
| 8–13 | -0.04 | 17% | 22 Aug → | ||
| 10–13 | 0.03 | 32% | 22 Aug → | ||
| 13–5 | -0.00 | 17% | 22 Aug → | ||
| 13–10 | 0.05 | 26% | 18 Aug → | ||
| 13–11 | -0.01 | 28% | 18 Aug → | ||
| 16–12 | 0.02 | 25% | 18 Aug → | ||
| 13–11 | 0.06 | 19% | 14 Aug → | ||
| 16–14 | 0.01 | 15% | 13 Aug → | ||
| 11–13 | 0.05 | 31% | 13 Aug → | ||
| 13–2 | 0.01 | 42% | 13 Aug → | ||
| 13–9 | 0.06 | 31% | 13 Aug → | ||
| 9–13 | -0.05 | 28% | 11 Aug → | ||
| 16–13 | -0.01 | 27% | 11 Aug → | ||
| 13–10 | 0.06 | 29% | 11 Aug → | ||
| 13–7 | -0.02 | 18% | 10 Aug → | ||
| 13–6 | 0.08 | 19% | 10 Aug → | ||
| 13–5 | 0.01 | 27% | 10 Aug → | ||
| 13–11 | -0.01 | 16% | 8 Aug → | ||
| 17–19 | -0.00 | 25% | 7 Aug → | ||
| 13–10 | 0.10 | 24% | 7 Aug → | ||
| 13–8 | -0.01 | 20% | 6 Aug → | ||
| 17–19 | -0.01 | 23% | 6 Aug → | ||
| 8–13 | -0.01 | 22% | 5 Aug → | ||
| 11–13 | 0.05 | 18% | 5 Aug → | ||
| 13–7 | 0.04 | 36% | 5 Aug → | ||
| 9–1 | -0.07 | 20% | 3 Aug → | ||
| 17–19 | 0.00 | 29% | 3 Aug → | ||
| 13–7 | 0.14 | 22% | 29 Jul → | ||
| 11–13 | 0.01 | 31% | 17 Jul → | ||
| 4–13 | -0.08 | 18% | 17 Jul → | ||
| 7–13 | 0.01 | 29% | 1 Jul → | ||
| 13–8 | 0.04 | 27% | 1 Jul → | ||
| 13–6 | 0.08 | 35% | 1 Jul → | ||
| 13–6 | 0.21 | 27% | 1 Jul → | ||
| 13–10 | 0.05 | 26% | 30 Jun → | ||
| 10–13 | 0.01 | 42% | 29 Jun → | ||
| 8–13 | -0.01 | 18% | 26 Jun → | ||
| 13–8 | -0.05 | 18% | 26 Jun → | ||
| 13–7 | 0.12 | 14% | 26 Jun → | ||
| 11–13 | 0.01 | 26% | 22 Jun → | ||
| 13–8 | 0.01 | 24% | 22 Jun → | ||
| 13–3 | 0.05 | 26% | 22 Jun → | ||
| 13–6 | 0.16 | 31% | 21 Jun → | ||
| 6–13 | 0.04 | 20% | 21 Jun → | ||
| 13–5 | 0.02 | 17% | 20 Jun → | ||
| 13–9 | 0.04 | 26% | 20 Jun → | ||
| 9–11 | 0.12 | 29% | 20 Jun → | ||
| 13–9 | 0.02 | 18% | 20 Jun → | ||
| 16–12 | -0.00 | 18% | 19 Jun → | ||
| 13–10 | 0.11 | 35% | 18 Jun → | ||
| 13–11 | 0.08 | 30% | 18 Jun → | ||
| 13–5 | 0.04 | 32% | 18 Jun → | ||
| 10–13 | 0.06 | 37% | 17 Jun → | ||
| 13–7 | 0.08 | 15% | 17 Jun → | ||
| 10–13 | 0.03 | 34% | 17 Jun → | ||
| 9–13 | 0.15 | 31% | 17 Jun → | ||
| 13–9 | 0.02 | 47% | 14 Jun → | ||
| 13–11 | 0.00 | 13% | 13 Jun → | ||
| 9–13 | -0.04 | 22% | 13 Jun → | ||
| 13–3 | 0.03 | 18% | 13 Jun → | ||
| 13–6 | 0.13 | 31% | 12 Jun → | ||
| 13–4 | 0.12 | 42% | 11 Jun → | ||
| 4–13 | -0.08 | 17% | 11 Jun → | ||
| 13–8 | 0.06 | 32% | 10 Jun → | ||
| 13–6 | 0.10 | 28% | 10 Jun → | ||
| 13–7 | 0.11 | 19% | 10 Jun → | ||
| 13–10 | 0.04 | 20% | 10 Jun → | ||
| 13–2 | -0.02 | 14% | 10 Jun → | ||
| 13–2 | 0.01 | 29% | 9 Jun → | ||
| 13–2 | 0.04 | 13% | 9 Jun → | ||
| 13–5 | 0.19 | 28% | 9 Jun → | ||
| 13–3 | 0.17 | 42% | 6 Jun → | ||
| 11–13 | -0.01 | 12% | 6 Jun → | ||
| 13–8 | 0.07 | 50% | 6 Jun → | ||
| 13–9 | 0.10 | 26% | 6 Jun → | ||
| 10–13 | 0.05 | 14% | 5 Jun → | ||
| 13–9 | 0.04 | 7% | 28 May → | ||
| 13–3 | 0.18 | 31% | 28 May → | ||
| 13–11 | 0.07 | 18% | 28 May → | ||
| 13–10 | 0.08 | 21% | 21 May → | ||
| 13–2 | 0.06 | 19% | 21 May → | ||
| 13–11 | 0.04 | 15% | 21 May → | ||
| 13–3 | 0.16 | 27% | 8 May → | ||
| 10–13 | -0.00 | 25% | 8 May → | ||
| 9–13 | 0.06 | 32% | 8 May → | ||
| 10–13 | 0.01 | 27% | 8 May → | ||
| 13–4 | 0.14 | 32% | 8 May → | ||
| 13–7 | 0.04 | 30% | 29 Apr → | ||
| 13–5 | 0.10 | 24% | 29 Apr → | ||
| 13–6 | 0.06 | 20% | 19 Sept → | ||
| 16–14 | 0.03 | 22% | 19 Sept → | ||
| 16–12 | -0.01 | 27% | 19 Sept → |
Match data via Leetify.