DADY — CS2 Stats
ES76561198251393828[U:1:291128100]Steam profile ↗
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 |
|---|---|---|
| Headshot rate | 52.4% | 52.8% |
| Shot accuracy | 15.8% | 13.7% |
| Kill/death ratio | 1.12 | 1.08 |
| Match win rate | 52.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, positioning 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 95 — the mechanical foundation is a clear strength.
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
T openings. 61% T opening-duel success — entries that actually open the round.
Areas to improve
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 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
 dust2 | C | 55 | 24–31 | 44% | 0.04 |
 mirage | S | 34 | 22–12 | 65% | 0.05 |
 ancient | S | 6 | 4–2 | 67% | 0.03 |
 inferno | — | 3 | 2–1 | 67% | 0.03 |
 cache | — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (44% over 55). Start with the 6 essential Dust 2 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 | 788 | 54% | 1.34 | 19.9 |
| Dust2 | 587 | 59% | 1.35 | 20.0 |
| Ancient | 321 | 49% | 1.22 | 19.4 |
| Anubis | 170 | 56% | 1.27 | 18.9 |
| Inferno | 102 | 49% | 1.19 | 18.5 |
| Vertigo | 52 | 50% | 1.15 | 18.6 |
| Nuke | 49 | 51% | 1.18 | 18.9 |
| Overpass | 42 | 55% | 1.31 | 19.9 |
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.
44% win rate across 55 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–9 | 0.09 | 24% | 16 Aug → | |
| dust2 | 13–16 | -0.00 | 29% | 14 Aug → | |
| ancient | 13–4 | 0.11 | 29% | 14 Aug → | |
| mirage | 13–11 | 0.04 | 11% | 14 Aug → | |
| cache | 13–4 | -0.01 | 24% | 14 Aug → | |
| dust2 | 12–12 | 0.07 | 35% | 13 Aug → | |
| ancient | 13–8 | 0.02 | 18% | 13 Aug → | |
| dust2 | 13–16 | 0.05 | 33% | 12 Aug → | |
| dust2 | 11–13 | 0.05 | 31% | 12 Aug → | |
| dust2 | 13–6 | 0.06 | 31% | 11 Aug → | |
| mirage | 13–6 | 0.09 | 16% | 8 Aug → | |
| mirage | 13–4 | 0.23 | 34% | 6 Aug → | |
| dust2 | 12–12 | 0.07 | 38% | 5 Aug → | |
| ancient | 13–10 | 0.07 | 38% | 3 Aug → | |
| mirage | 13–2 | 0.07 | 31% | 1 Aug → | |
| dust2 | 13–0 | 0.13 | 13% | 31 Jul → | |
| inferno | 10–13 | -0.04 | 38% | 31 Jul → | |
| dust2 | 13–4 | 0.08 | 25% | 30 Jul → | |
| dust2 | 13–6 | 0.08 | 31% | 29 Jul → | |
| dust2 | 10–13 | -0.00 | 26% | 29 Jul → | |
| mirage | 11–13 | 0.08 | 31% | 29 Jul → | |
| dust2 | 2–13 | -0.06 | 17% | 29 Jul → | |
| mirage | 12–16 | 0.05 | 31% | 27 Jul → | |
| ancient | 2–13 | -0.09 | 24% | 25 Jul → | |
| dust2 | 6–13 | 0.06 | 27% | 22 Jul → | |
| dust2 | 11–13 | 0.03 | 30% | 22 Jul → | |
| mirage | 4–6 | 0.01 | 33% | 21 Jul → | |
| mirage | 13–11 | 0.05 | 21% | 21 Jul → | |
| ancient | 8–13 | 0.03 | 22% | 20 Jul → | |
| mirage | 9–13 | 0.10 | 26% | 15 Jul → | |
| mirage | 12–12 | 0.05 | 25% | 15 Jul → | |
| mirage | 7–13 | 0.03 | 23% | 13 Jul → | |
| dust2 | 12–12 | 0.06 | 35% | 9 Jul → | |
| dust2 | 11–13 | 0.03 | 42% | 8 Jul → | |
| mirage | 13–9 | 0.01 | 27% | 8 Jul → | |
| dust2 | 13–7 | 0.07 | 43% | 7 Jul → | |
| dust2 | 3–4 | 0.02 | 44% | 7 Jul → | |
| dust2 | 6–13 | -0.01 | 28% | 3 Jul → | |
| mirage | 13–6 | 0.00 | 30% | 2 Jul → | |
| dust2 | 13–6 | 0.08 | 21% | 1 Jul → | |
| mirage | 13–3 | 0.06 | 33% | 1 Jul → | |
| dust2 | 4–13 | 0.03 | 34% | 1 Jul → | |
| dust2 | 2–7 | 0.01 | 12% | 30 Jun → | |
| dust2 | 12–16 | 0.05 | 37% | 30 Jun → | |
| dust2 | 8–13 | -0.02 | 32% | 24 Jun → | |
| dust2 | 9–13 | 0.05 | 30% | 22 Jun → | |
| mirage | 13–7 | 0.11 | 23% | 17 Jun → | |
| cache | 9–13 | 0.08 | 12% | 17 Jun → | |
| mirage | 11–13 | 0.03 | 26% | 15 Jun → | |
| dust2 | 13–10 | 0.01 | 23% | 13 Jun → | |
| mirage | 13–10 | -0.01 | 23% | 13 Jun → | |
| dust2 | 13–9 | 0.03 | 15% | 13 Jun → | |
| dust2 | 13–16 | -0.01 | 24% | 10 Jun → | |
| dust2 | 9–13 | 0.01 | 20% | 10 Jun → | |
| dust2 | 13–10 | -0.01 | 20% | 10 Jun → | |
| dust2 | 12–16 | -0.02 | 15% | 9 Jun → | |
| dust2 | 13–5 | -0.00 | 20% | 9 Jun → | |
| ancient | 13–3 | 0.05 | 17% | 9 Jun → | |
| inferno | 13–7 | 0.03 | 42% | 8 Jun → | |
| mirage | 13–7 | 0.05 | 23% | 8 Jun → | |
| dust2 | 13–5 | 0.13 | 24% | 7 Jun → | |
| mirage | 13–10 | 0.14 | 17% | 5 Jun → | |
| dust2 | 13–8 | 0.07 | 25% | 5 Jun → | |
| dust2 | 6–13 | -0.01 | 50% | 4 Jun → | |
| inferno | 13–8 | 0.09 | 20% | 1 Jun → | |
| dust2 | 11–13 | -0.01 | 21% | 1 Jun → | |
| dust2 | 16–14 | 0.18 | 24% | 31 May → | |
| dust2 | 13–5 | 0.04 | 17% | 31 May → | |
| dust2 | 13–8 | 0.02 | 19% | 31 May → | |
| dust2 | 13–9 | 0.10 | 16% | 31 May → | |
| mirage | 9–13 | 0.03 | 19% | 31 May → | |
| dust2 | 8–13 | 0.01 | 20% | 31 May → | |
| mirage | 13–5 | -0.00 | 24% | 30 May → | |
| mirage | 13–7 | 0.02 | 13% | 30 May → | |
| dust2 | 13–8 | 0.04 | 31% | 30 May → | |
| dust2 | 12–12 | 0.02 | 24% | 30 May → | |
| mirage | 0–5 | -0.13 | 0% | 29 May → | |
| dust2 | 13–6 | 0.06 | 30% | 29 May → | |
| dust2 | 11–13 | 0.08 | 26% | 29 May → | |
| mirage | 12–12 | 0.10 | 21% | 29 May → | |
| dust2 | 7–13 | 0.01 | 15% | 29 May → | |
| dust2 | 7–13 | 0.02 | 26% | 28 May → | |
| mirage | 13–10 | 0.06 | 23% | 28 May → | |
| mirage | 13–10 | -0.01 | 19% | 28 May → | |
| mirage | 13–11 | 0.14 | 27% | 27 May → | |
| dust2 | 6–13 | 0.01 | 26% | 27 May → | |
| dust2 | 16–12 | 0.04 | 30% | 27 May → | |
| mirage | 8–13 | 0.10 | 31% | 27 May → | |
| mirage | 13–6 | 0.08 | 23% | 26 May → | |
| mirage | 11–13 | 0.01 | 22% | 26 May → | |
| mirage | 13–9 | 0.04 | 19% | 26 May → | |
| dust2 | 10–13 | 0.08 | 24% | 26 May → | |
| dust2 | 13–9 | 0.03 | 33% | 26 May → | |
| dust2 | 13–6 | -0.00 | 22% | 25 May → | |
| dust2 | 3–13 | 0.01 | 29% | 25 May → | |
| dust2 | 13–10 | -0.00 | 27% | 24 May → | |
| mirage | 13–4 | 0.01 | 18% | 24 May → | |
| mirage | 13–8 | 0.09 | 31% | 24 May → | |
| dust2 | 9–13 | 0.03 | 27% | 23 May → | |
| dust2 | 13–8 | 0.06 | 37% | 23 May → |
Match data via Leetify.
