Mr.DUCKY — CS2 Stats
76561199320275422[U:1:1360009694]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.02 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 b1t 86% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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 5.5/10 (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 67 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 | A | 20 | 11–9 | 55% | 0.00 |
 mirage | S | 16 | 11–5 | 69% | -0.01 |
 inferno | D | 8 | 1–7 | 13% | 0.02 |
 cache | S | 6 | 4–2 | 67% | -0.02 |
 vertigo | A | 5 | 3–2 | 60% | 0.02 |
 ancient | — | 4 | 0–4 | 0% | -0.03 |
 nuke | — | 3 | 1–2 | 33% | 0.02 |
 anubis | — | 3 | 2–1 | 67% | -0.00 |
 train | — | 1 | 0–1 | 0% | 0.04 |
 overpass | — | 1 | 0–1 | 0% | -0.10 |
Across the last 67 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 25 | 64% | 1.27 | 16.6 |
| Dust2 | 15 | 60% | 1.00 | 15.1 |
| Inferno | 11 | 36% | 0.79 | 13.9 |
| Ancient | 9 | 22% | 0.87 | 13.2 |
| Anubis | 7 | 29% | 0.93 | 17.9 |
| Vertigo | 5 | 60% | 1.02 | 14.2 |
| Nuke | 2 | 100% | 1.00 | 14.0 |
| Train | 1 | 0% | 1.13 | 26.0 |
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.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–16 | -0.02 | 17% | 11 Jul → | |
| mirage | 13–8 | -0.06 | 16% | 21 May → | |
| inferno | 11–13 | 0.01 | 16% | 21 May → | |
| mirage | 13–6 | 0.00 | 13% | 21 May → | |
| cache | 13–3 | -0.03 | 18% | 17 May → | |
| dust2 | 13–10 | -0.04 | 13% | 17 May → | |
| dust2 | 13–2 | 0.04 | 30% | 17 May → | |
| dust2 | 9–13 | 0.00 | 19% | 17 May → | |
| dust2 | 13–2 | 0.03 | 21% | 17 May → | |
| cache | 13–6 | 0.01 | 12% | 13 May → | |
| mirage | 13–4 | 0.07 | 18% | 13 May → | |
| cache | 13–11 | -0.02 | 18% | 13 May → | |
| dust2 | 11–13 | 0.02 | 16% | 11 May → | |
| mirage | 1–13 | -0.06 | 0% | 11 May → | |
| mirage | 13–7 | 0.02 | 9% | 11 May → | |
| mirage | 13–0 | -0.02 | 30% | 10 May → | |
| dust2 | 13–5 | 0.04 | 15% | 10 May → | |
| dust2 | 11–13 | 0.04 | 14% | 10 May → | |
| ancient | 10–13 | 0.04 | 22% | 10 May → | |
| cache | 6–9 | -0.02 | 14% | 9 May → | |
| cache | 13–9 | 0.00 | 14% | 9 May → | |
| cache | 12–12 | -0.05 | 13% | 9 May → | |
| dust2 | 5–13 | -0.07 | 24% | 9 May → | |
| dust2 | 10–13 | 0.02 | 38% | 9 May → | |
| nuke | 13–11 | 0.02 | 14% | 27 Apr → | |
| dust2 | 9–13 | 0.02 | 18% | 25 Oct → | |
| ancient | 9–13 | -0.03 | 22% | 27 Mar → | |
| inferno | 11–13 | 0.03 | 11% | 6 Jan → | |
| vertigo | 13–1 | 0.00 | 13% | 28 Dec → | |
| dust2 | 12–16 | -0.07 | 22% | 15 Dec → | |
| mirage | 9–13 | 0.04 | 19% | 15 Dec → | |
| mirage | 13–9 | -0.02 | 24% | 15 Dec → | |
| inferno | 6–13 | 0.07 | 8% | 12 Dec → | |
| dust2 | 13–11 | -0.03 | 9% | 11 Dec → | |
| train | 13–16 | 0.04 | 14% | 30 Nov → | |
| nuke | 8–13 | -0.05 | 11% | 24 Nov → | |
| anubis | 13–7 | 0.00 | 20% | 24 Nov → | |
| dust2 | 13–5 | 0.09 | 16% | 21 Nov → | |
| mirage | 13–7 | 0.00 | 38% | 10 Nov → | |
| inferno | 13–9 | -0.00 | 12% | 10 Nov → | |
| dust2 | 13–6 | -0.01 | 19% | 10 Nov → | |
| vertigo | 6–13 | -0.12 | 20% | 1 Nov → | |
| anubis | 4–13 | -0.01 | 28% | 1 Nov → | |
| dust2 | 13–2 | 0.11 | 26% | 28 Oct → | |
| vertigo | 6–1 | 0.10 | 15% | 20 Oct → | |
| anubis | 13–5 | -0.00 | 18% | 20 Oct → | |
| mirage | 9–13 | -0.04 | 11% | 11 Oct → | |
| vertigo | 11–13 | 0.05 | 20% | 8 Oct → | |
| overpass | 1–7 | -0.10 | 0% | 5 Oct → | |
| dust2 | 13–6 | 0.03 | 19% | 24 Sept → | |
| mirage | 13–3 | 0.03 | 11% | 15 Sept → | |
| mirage | 13–7 | -0.01 | 15% | 1 Sept → | |
| ancient | 5–13 | -0.03 | 14% | 17 Aug → | |
| dust2 | 9–10 | -0.05 | 14% | 4 Aug → | |
| mirage | 13–2 | -0.12 | 18% | 4 Aug → | |
| vertigo | 13–9 | 0.04 | 20% | 30 Jul → | |
| inferno | 12–16 | -0.05 | 20% | 1 Jun → | |
| dust2 | 3–13 | -0.08 | 20% | 1 Jun → | |
| inferno | 4–13 | -0.02 | 23% | 8 May → | |
| mirage | 13–5 | 0.03 | 24% | 4 May → | |
| mirage | 1–8 | 0.02 | 29% | 4 May → | |
| inferno | 12–12 | -0.03 | 15% | 3 May → | |
| nuke | 12–12 | 0.09 | 35% | 15 Apr → | |
| dust2 | 13–11 | -0.04 | 21% | 12 Apr → | |
| inferno | 11–13 | 0.13 | 31% | 10 Feb → | |
| dust2 | 16–14 | -0.02 | 27% | 30 Jul → | |
| ancient | 2–16 | -0.09 | 21% | 29 Jul → |
Match data via Leetify.