asd — CS2 Stats
76561198304393793[U:1:344128065]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerLimited 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 94% playstyle similarity
Most alike: opening-fight frequency, 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 89 — 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 59% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 566ms 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 7.1/10 (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 |
|---|---|---|---|---|---|
 cache | B | 15 | 7–8 | 47% | 0.06 |
 nuke | A | 15 | 9–6 | 60% | 0.04 |
 anubis | D | 12 | 4–8 | 33% | 0.05 |
 dust2 | A | 12 | 7–5 | 58% | 0.04 |
 vertigo | C | 11 | 4–7 | 36% | -0.00 |
 train | B | 8 | 4–4 | 50% | 0.06 |
 ancient | A | 7 | 4–3 | 57% | 0.02 |
 overpass | C | 7 | 3–4 | 43% | 0.04 |
| office | C | 5 | 2–3 | 40% | 0.01 |
 inferno | — | 4 | 2–2 | 50% | 0.02 |
 mirage | — | 3 | 1–2 | 33% | -0.02 |
| italy | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 230 | 49% | 1.19 | 18.3 |
| Nuke | 216 | 59% | 1.28 | 18.6 |
| Ancient | 173 | 50% | 1.21 | 17.8 |
| Vertigo | 119 | 58% | 1.27 | 18.4 |
| Dust2 | 106 | 40% | 1.11 | 17.6 |
| Mirage | 93 | 49% | 1.10 | 16.3 |
| Overpass | 78 | 45% | 1.20 | 18.9 |
| Train | 67 | 64% | 1.39 | 19.6 |
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 | |
|---|---|---|---|---|---|
| cache | 8–13 | -0.00 | 22% | 26 Aug → | |
| nuke | 13–7 | 0.09 | 25% | 20 Aug → | |
| vertigo | 13–3 | 0.01 | 31% | 19 Aug → | |
| train | 13–1 | 0.12 | 37% | 15 Aug → | |
| train | 13–1 | 0.19 | 23% | 12 Aug → | |
| nuke | 12–12 | 0.02 | 23% | 7 Aug → | |
| cache | 11–8 | 0.09 | 24% | 7 Aug → | |
| vertigo | 4–13 | -0.05 | 56% | 7 Aug → | |
| anubis | 8–13 | -0.03 | 31% | 6 Aug → | |
| anubis | 11–13 | 0.08 | 35% | 5 Aug → | |
| nuke | 11–13 | 0.08 | 27% | 5 Aug → | |
| nuke | 13–5 | -0.01 | 24% | 5 Aug → | |
| vertigo | 7–13 | 0.02 | 31% | 5 Aug → | |
| vertigo | 12–12 | -0.05 | 29% | 29 Jul → | |
| vertigo | 12–12 | 0.01 | 20% | 29 Jul → | |
| nuke | 6–1 | 0.03 | 15% | 26 Jul → | |
| anubis | 8–13 | 0.04 | 30% | 26 Jul → | |
| anubis | 12–12 | 0.10 | 34% | 26 Jul → | |
| cache | 3–8 | 0.04 | 36% | 15 Jul → | |
| inferno | 0–13 | 0.01 | 100% | 15 Jul → | |
| dust2 | 13–6 | 0.02 | 35% | 14 Jul → | |
| inferno | 6–0 | 0.06 | 27% | 14 Jul → | |
| anubis | 13–5 | 0.06 | 56% | 13 Jul → | |
| cache | 13–2 | 0.14 | 43% | 5 Jul → | |
| cache | 10–13 | -0.01 | 33% | 5 Jul → | |
| ancient | 13–5 | -0.00 | 23% | 28 Jun → | |
| nuke | 13–11 | 0.03 | 24% | 28 Jun → | |
| cache | 8–13 | 0.10 | 33% | 28 Jun → | |
| train | 13–3 | 0.04 | 20% | 22 Jun → | |
| cache | 13–1 | 0.10 | 28% | 13 Jun → | |
| cache | 13–2 | 0.01 | 40% | 10 Jun → | |
| ancient | 12–12 | 0.02 | 32% | 10 Jun → | |
| dust2 | 13–6 | 0.02 | 21% | 9 Jun → | |
| overpass | 13–10 | 0.09 | 29% | 9 Jun → | |
| train | 13–1 | 0.09 | 33% | 9 Jun → | |
| cache | 6–13 | 0.03 | 51% | 9 Jun → | |
| vertigo | 1–13 | -0.05 | 25% | 9 Jun → | |
| vertigo | 9–13 | -0.02 | 38% | 3 Jun → | |
| anubis | 13–10 | 0.14 | 46% | 28 May → | |
| nuke | 9–13 | 0.04 | 43% | 25 May → | |
| nuke | 8–13 | -0.01 | 35% | 25 May → | |
| dust2 | 7–13 | 0.05 | 34% | 25 May → | |
| cache | 13–4 | 0.06 | 35% | 22 May → | |
| cache | 7–13 | 0.04 | 29% | 22 May → | |
| office | 13–11 | 0.00 | 46% | 13 May → | |
| cache | 7–13 | 0.13 | 56% | 12 May → | |
| cache | 6–13 | -0.03 | 40% | 9 May → | |
| cache | 13–5 | 0.06 | 30% | 6 May → | |
| cache | 13–3 | 0.16 | 31% | 6 May → | |
| nuke | 13–2 | 0.06 | 37% | 29 Apr → | |
| train | 7–13 | 0.01 | 44% | 23 Apr → | |
| nuke | 13–11 | 0.12 | 36% | 20 Apr → | |
| train | 12–12 | 0.09 | 38% | 20 Apr → | |
| overpass | 13–6 | 0.11 | 24% | 16 Apr → | |
| ancient | 13–10 | 0.03 | 29% | 16 Apr → | |
| inferno | 9–13 | -0.06 | 27% | 15 Apr → | |
| ancient | 5–13 | -0.01 | 20% | 15 Apr → | |
| overpass | 2–13 | 0.01 | 26% | 14 Apr → | |
| anubis | 8–13 | 0.05 | 48% | 14 Apr → | |
| anubis | 14–16 | -0.00 | 24% | 12 Apr → | |
| vertigo | 13–10 | 0.02 | 36% | 12 Apr → | |
| vertigo | 10–13 | 0.03 | 18% | 8 Apr → | |
| anubis | 13–5 | 0.08 | 24% | 6 Apr → | |
| mirage | 13–5 | 0.07 | 41% | 4 Apr → | |
| anubis | 5–13 | 0.05 | 39% | 2 Apr → | |
| anubis | 9–13 | -0.00 | 34% | 1 Apr → | |
| inferno | 13–1 | 0.09 | 43% | 30 Mar → | |
| office | 13–5 | 0.00 | 68% | 30 Mar → | |
| office | 8–13 | 0.03 | 45% | 30 Mar → | |
| mirage | 2–3 | -0.10 | 40% | 27 Mar → | |
| vertigo | 13–8 | 0.03 | 64% | 27 Mar → | |
| train | 1–13 | -0.03 | 54% | 27 Mar → | |
| office | 8–13 | 0.01 | 26% | 26 Mar → | |
| dust2 | 5–13 | -0.02 | 28% | 17 Mar → | |
| mirage | 7–13 | -0.03 | 20% | 17 Mar → | |
| nuke | 13–6 | -0.01 | 33% | 11 Mar → | |
| ancient | 13–5 | 0.07 | 28% | 6 Mar → | |
| office | 9–9 | 0.02 | 27% | 7 Dec → | |
| ancient | 4–13 | -0.09 | 24% | 23 Nov → | |
| dust2 | 7–13 | 0.09 | 25% | 22 Nov → | |
| dust2 | 13–1 | 0.04 | 33% | 22 Nov → | |
| anubis | 13–2 | 0.07 | 24% | 20 Nov → | |
| dust2 | 13–4 | -0.03 | 26% | 19 Nov → | |
| overpass | 11–13 | 0.03 | 25% | 19 Nov → | |
| ancient | 13–7 | 0.10 | 29% | 19 Nov → | |
| dust2 | 13–3 | 0.04 | 23% | 19 Nov → | |
| overpass | 9–13 | -0.01 | 22% | 19 Nov → | |
| nuke | 13–5 | 0.01 | 32% | 19 Nov → | |
| nuke | 6–13 | 0.03 | 25% | 19 Nov → | |
| nuke | 8–13 | 0.01 | 41% | 18 Nov → | |
| overpass | 13–4 | 0.07 | 38% | 17 Nov → | |
| overpass | 10–13 | -0.05 | 28% | 16 Nov → | |
| nuke | 13–5 | 0.08 | 40% | 16 Nov → | |
| dust2 | 6–13 | 0.03 | 44% | 15 Nov → | |
| vertigo | 13–8 | 0.02 | 33% | 15 Nov → | |
| dust2 | 13–3 | 0.10 | 36% | 13 Nov → | |
| dust2 | 12–12 | 0.07 | 34% | 13 Nov → | |
| dust2 | 13–1 | 0.04 | 35% | 13 Nov → | |
| italy | 1–13 | -0.03 | 45% | 4 Nov → | |
| train | 6–13 | -0.00 | 47% | 4 Nov → |
Match data via Leetify.
