drox — CS2 Stats
AU76561198066795281[U:1:106529553]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 92% 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | -0.00 | |
| B | 19 | 10–9 | 53% | 0.01 | |
| A | 14 | 8–6 | 57% | 0.00 | |
| D | 12 | 4–8 | 33% | 0.02 | |
| B | 10 | 5–5 | 50% | -0.01 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.00 | |
| — | 2 | 2–0 | 100% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 192 | 67% | 1.49 | 20.1 |
| Anubis | 132 | 55% | 1.45 | 18.9 |
| Dust2 | 111 | 53% | 1.55 | 16.5 |
| Ancient | 107 | 54% | 1.38 | 19.0 |
| Nuke | 70 | 53% | 1.26 | 17.0 |
| Inferno | 65 | 57% | 1.45 | 17.3 |
| Vertigo | 30 | 57% | 1.28 | 18.4 |
| Train | 19 | 68% | 1.09 | 16.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.01 | 33% | 22 Aug → | ||
| 13–5 | 0.10 | 18% | 23 Jun → | ||
| 13–9 | 0.01 | 19% | 23 May → | ||
| 10–13 | 0.09 | 32% | 17 May → | ||
| 13–11 | 0.00 | 18% | 15 Apr → | ||
| 13–8 | 0.09 | 24% | 9 Apr → | ||
| 13–7 | 0.08 | 33% | 1 Mar → | ||
| 3–5 | -0.04 | 15% | 26 Feb → | ||
| 15–15 | 0.12 | 34% | 22 Jan → | ||
| 8–13 | -0.04 | 28% | 15 Dec → | ||
| 8–13 | 0.05 | 35% | 11 Dec → | ||
| 13–11 | 0.03 | 38% | 25 Nov → | ||
| 8–13 | 0.03 | 30% | 20 Nov → | ||
| 13–8 | -0.05 | 52% | 20 Nov → | ||
| 8–13 | -0.02 | 22% | 20 Nov → | ||
| 13–9 | -0.05 | 24% | 19 Nov → | ||
| 13–7 | -0.05 | 17% | 19 Nov → | ||
| 7–13 | -0.02 | 38% | 19 Nov → | ||
| 9–13 | -0.00 | 21% | 17 Nov → | ||
| 6–13 | -0.04 | 21% | 17 Nov → | ||
| 10–13 | 0.10 | 35% | 17 Nov → | ||
| 13–11 | 0.02 | 23% | 11 Nov → | ||
| 13–7 | -0.01 | 13% | 2 Nov → | ||
| 13–6 | -0.01 | 29% | 25 Oct → | ||
| 13–2 | 0.06 | 12% | 25 Oct → | ||
| 5–13 | -0.05 | 26% | 25 Oct → | ||
| 10–13 | -0.04 | 24% | 24 Oct → | ||
| 1–13 | -0.09 | 7% | 24 Oct → | ||
| 13–11 | -0.03 | 29% | 24 Oct → | ||
| 8–13 | -0.04 | 9% | 23 Oct → | ||
| 16–14 | 0.04 | 23% | 23 Oct → | ||
| 13–11 | 0.02 | 33% | 23 Oct → | ||
| 13–11 | 0.05 | 25% | 20 Oct → | ||
| 9–13 | 0.02 | 20% | 16 Oct → | ||
| 12–16 | -0.01 | 34% | 16 Oct → | ||
| 3–13 | -0.10 | 17% | 15 Oct → | ||
| 9–13 | -0.06 | 22% | 15 Oct → | ||
| 13–6 | 0.02 | 20% | 6 Oct → | ||
| 13–6 | 0.00 | 30% | 6 Oct → | ||
| 13–6 | 0.03 | 18% | 5 Oct → | ||
| 6–13 | 0.00 | 28% | 5 Oct → | ||
| 6–13 | -0.00 | 22% | 5 Oct → | ||
| 13–3 | 0.02 | 26% | 4 Oct → | ||
| 13–11 | 0.01 | 35% | 4 Oct → | ||
| 6–13 | -0.06 | 31% | 4 Oct → | ||
| 11–13 | 0.02 | 41% | 4 Oct → | ||
| 13–8 | 0.01 | 26% | 27 Sept → | ||
| 12–16 | -0.03 | 29% | 27 Sept → | ||
| 13–4 | 0.02 | 27% | 27 Sept → | ||
| 7–13 | -0.04 | 25% | 27 Sept → | ||
| 8–13 | 0.01 | 22% | 27 Sept → | ||
| 28–25 | -0.00 | 24% | 27 Sept → | ||
| 13–8 | -0.00 | 26% | 27 Sept → | ||
| 13–10 | 0.03 | 37% | 14 Sept → | ||
| 13–3 | 0.10 | 29% | 14 Sept → | ||
| 13–8 | 0.04 | 39% | 14 Sept → | ||
| 1–13 | -0.06 | 25% | 14 Sept → | ||
| 13–6 | -0.00 | 16% | 13 Sept → | ||
| 13–3 | -0.01 | 29% | 13 Sept → | ||
| 13–4 | 0.05 | 27% | 10 Sept → | ||
| 16–14 | 0.03 | 40% | 10 Sept → | ||
| 3–13 | -0.08 | 19% | 10 Sept → | ||
| 9–13 | 0.04 | 9% | 10 Sept → | ||
| 13–1 | 0.10 | 33% | 9 Sept → | ||
| 13–5 | 0.00 | 23% | 9 Sept → | ||
| 12–16 | -0.02 | 42% | 8 Sept → | ||
| 8–13 | 0.03 | 23% | 8 Sept → | ||
| 13–5 | 0.05 | 29% | 8 Sept → | ||
| 13–11 | -0.01 | 24% | 8 Sept → | ||
| 8–13 | -0.04 | 24% | 6 Sept → | ||
| 9–13 | 0.03 | 32% | 6 Sept → | ||
| 13–8 | 0.08 | 30% | 6 Sept → | ||
| 16–12 | 0.04 | 34% | 5 Sept → | ||
| 31–28 | -0.01 | 26% | 5 Sept → | ||
| 22–19 | 0.00 | 16% | 3 Sept → | ||
| 14–16 | -0.00 | 24% | 3 Sept → | ||
| 10–13 | -0.02 | 24% | 3 Sept → | ||
| 13–4 | 0.07 | 37% | 1 Sept → | ||
| 13–4 | 0.09 | 22% | 1 Sept → | ||
| 7–13 | -0.03 | 16% | 1 Sept → | ||
| 13–11 | 0.03 | 26% | 25 Aug → | ||
| 3–13 | -0.04 | 36% | 13 Aug → | ||
| 9–13 | -0.01 | 34% | 13 Aug → | ||
| 8–13 | 0.01 | 35% | 11 Aug → | ||
| 4–13 | -0.03 | 33% | 11 Aug → | ||
| 2–13 | -0.03 | 25% | 1 Aug → | ||
| 13–9 | 0.02 | 17% | 19 Jul → | ||
| 9–13 | 0.05 | 19% | 17 Jul → | ||
| 13–2 | 0.02 | 40% | 17 Jul → | ||
| 10–13 | -0.05 | 20% | 17 Jul → | ||
| 13–5 | 0.05 | 27% | 16 Jul → | ||
| 13–6 | 0.02 | 19% | 16 Jul → | ||
| 10–13 | 0.00 | 17% | 15 Jul → | ||
| 10–13 | -0.03 | 48% | 15 Jul → | ||
| 13–8 | 0.02 | 34% | 12 Jul → | ||
| 9–13 | -0.05 | 38% | 12 Jul → | ||
| 13–4 | 0.04 | 25% | 12 Jul → | ||
| 13–11 | 0.01 | 26% | 11 Jul → | ||
| 11–13 | -0.01 | 24% | 11 Jul → | ||
| 9–13 | -0.02 | 24% | 11 Jul → |
Match data via Leetify.