FanaticDuck — CS2 Stats
76561198302499325[U:1:342233597]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective flashes
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 donk 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 86 — the mechanical foundation is a clear strength.
Flashes. 0.78 enemies blinded per flash — utility that consistently lands.
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 |
|---|---|---|---|---|---|
| D | 21 | 6–15 | 29% | 0.05 | |
| C | 15 | 6–9 | 40% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.08 | |
| C | 12 | 5–7 | 42% | 0.07 | |
| S | 12 | 10–2 | 83% | 0.06 | |
| D | 9 | 3–6 | 33% | 0.05 | |
| A | 7 | 4–3 | 57% | 0.05 | |
| D | 5 | 1–4 | 20% | 0.05 | |
| italy | — | 1 | 0–1 | 0% | 0.09 |
| office | — | 1 | 0–1 | 0% | 0.06 |
| — | 1 | 0–1 | 0% | 0.00 | |
| shelter | — | 1 | 1–0 | 100% | 0.06 |
| eldorado | — | 1 | 1–0 | 100% | 0.17 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 108 | 50% | 1.11 | 14.8 |
| Anubis | 89 | 53% | 0.95 | 13.7 |
| Ancient | 78 | 51% | 1.04 | 14.5 |
| Inferno | 37 | 51% | 1.05 | 13.9 |
| Dust2 | 27 | 37% | 0.82 | 12.8 |
| Nuke | 14 | 29% | 1.02 | 14.1 |
| Vertigo | 14 | 36% | 1.31 | 16.1 |
| Overpass | 5 | 40% | 0.71 | 10.0 |
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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.03 | 17% | 28 Aug → | ||
| 8–13 | 0.04 | 18% | 28 Aug → | ||
| 8–13 | 0.02 | 19% | 26 Aug → | ||
| 4–13 | 0.01 | 20% | 26 Aug → | ||
| 6–13 | 0.07 | 29% | 26 Aug → | ||
| 8–13 | -0.00 | 18% | 25 Aug → | ||
| 12–12 | 0.05 | 21% | 25 Aug → | ||
| 4–13 | 0.03 | 20% | 25 Aug → | ||
| 13–6 | 0.03 | 14% | 24 Aug → | ||
| 12–12 | 0.09 | 27% | 24 Aug → | ||
| 8–13 | 0.04 | 27% | 24 Aug → | ||
| 13–10 | 0.12 | 21% | 24 Aug → | ||
| 13–11 | 0.14 | 25% | 23 Aug → | ||
| 12–12 | 0.02 | 21% | 23 Aug → | ||
| 9–13 | 0.05 | 21% | 23 Aug → | ||
| 13–0 | 0.09 | 31% | 23 Aug → | ||
| 11–13 | 0.03 | 19% | 23 Aug → | ||
| 13–11 | 0.13 | 23% | 22 Aug → | ||
| 12–12 | 0.04 | 24% | 22 Aug → | ||
| 8–13 | 0.12 | 23% | 21 Aug → | ||
| 13–4 | 0.09 | 35% | 21 Aug → | ||
| 13–5 | 0.09 | 24% | 21 Aug → | ||
| 13–9 | 0.05 | 39% | 21 Aug → | ||
| 13–5 | 0.19 | 15% | 20 Aug → | ||
| 10–13 | 0.00 | 24% | 20 Aug → | ||
| 1–13 | -0.01 | 13% | 20 Aug → | ||
| 13–4 | 0.27 | 26% | 20 Aug → | ||
| 13–11 | 0.00 | 32% | 20 Aug → | ||
| 8–13 | -0.04 | 15% | 20 Aug → | ||
| 13–10 | 0.13 | 19% | 19 Aug → | ||
| 8–13 | 0.04 | 21% | 19 Aug → | ||
| 11–13 | 0.09 | 23% | 19 Aug → | ||
| 13–8 | -0.00 | 21% | 19 Aug → | ||
| 11–13 | 0.00 | 19% | 19 Aug → | ||
| 13–4 | 0.04 | 30% | 19 Aug → | ||
| 6–13 | -0.02 | 29% | 18 Aug → | ||
| 8–13 | 0.00 | 30% | 18 Aug → | ||
| 10–13 | 0.05 | 22% | 18 Aug → | ||
| 13–7 | -0.00 | 30% | 18 Aug → | ||
| 13–4 | 0.11 | 23% | 18 Aug → | ||
| 10–13 | 0.11 | 32% | 18 Aug → | ||
| 13–11 | 0.02 | 28% | 17 Aug → | ||
| 13–6 | 0.06 | 23% | 17 Aug → | ||
| 13–6 | 0.10 | 25% | 17 Aug → | ||
| 8–13 | 0.10 | 28% | 17 Aug → | ||
| 12–12 | 0.03 | 16% | 17 Aug → | ||
| 13–7 | -0.02 | 21% | 16 Aug → | ||
| 7–13 | 0.01 | 29% | 16 Aug → | ||
| 12–12 | 0.06 | 24% | 16 Aug → | ||
| 13–10 | 0.07 | 20% | 16 Aug → | ||
| italy | 5–13 | 0.09 | 35% | 16 Aug → | |
| office | 12–12 | 0.06 | 17% | 16 Aug → | |
| 10–13 | 0.00 | 22% | 16 Aug → | ||
| 7–13 | 0.02 | 17% | 16 Aug → | ||
| shelter | 13–7 | 0.06 | 36% | 15 Aug → | |
| 13–7 | 0.05 | 15% | 15 Aug → | ||
| 13–6 | -0.02 | 27% | 15 Aug → | ||
| 3–13 | -0.06 | 14% | 15 Aug → | ||
| 13–5 | 0.13 | 35% | 15 Aug → | ||
| 9–13 | -0.04 | 31% | 15 Aug → | ||
| 9–13 | 0.11 | 15% | 15 Aug → | ||
| 13–4 | 0.02 | 26% | 14 Aug → | ||
| 13–11 | 0.07 | 18% | 14 Aug → | ||
| 8–13 | -0.04 | 29% | 14 Aug → | ||
| 5–13 | 0.04 | 14% | 14 Aug → | ||
| 12–12 | -0.01 | 15% | 14 Aug → | ||
| 3–13 | 0.04 | 21% | 14 Aug → | ||
| 13–10 | 0.14 | 36% | 13 Aug → | ||
| 11–13 | 0.11 | 29% | 13 Aug → | ||
| 11–13 | 0.04 | 38% | 12 Aug → | ||
| 13–10 | 0.01 | 19% | 12 Aug → | ||
| 13–5 | 0.04 | 16% | 12 Aug → | ||
| eldorado | 9–6 | 0.17 | 20% | 12 Aug → | |
| 6–13 | -0.02 | 20% | 11 Aug → | ||
| 13–10 | 0.10 | 18% | 11 Aug → | ||
| 7–13 | 0.05 | 21% | 11 Aug → | ||
| 12–12 | 0.05 | 22% | 11 Aug → | ||
| 11–13 | 0.03 | 35% | 10 Aug → | ||
| 13–3 | 0.05 | 30% | 10 Aug → | ||
| 13–8 | 0.11 | 33% | 10 Aug → | ||
| 10–13 | 0.03 | 19% | 10 Aug → | ||
| 13–3 | 0.11 | 43% | 10 Aug → | ||
| 8–13 | 0.01 | 34% | 9 Aug → | ||
| 13–11 | 0.14 | 30% | 9 Aug → | ||
| 8–13 | 0.11 | 13% | 9 Aug → | ||
| 12–12 | 0.01 | 18% | 9 Aug → | ||
| 9–13 | 0.01 | 18% | 9 Aug → | ||
| 13–8 | 0.10 | 22% | 9 Aug → | ||
| 12–12 | 0.11 | 22% | 9 Aug → | ||
| 13–7 | 0.11 | 22% | 8 Aug → | ||
| 5–13 | -0.04 | 17% | 8 Aug → | ||
| 13–5 | 0.08 | 13% | 8 Aug → | ||
| 8–13 | 0.11 | 20% | 8 Aug → | ||
| 9–13 | -0.04 | 11% | 8 Aug → | ||
| 13–10 | 0.06 | 27% | 8 Aug → | ||
| 13–9 | 0.05 | 29% | 7 Aug → | ||
| 9–13 | 0.11 | 29% | 7 Aug → | ||
| 8–13 | 0.01 | 23% | 6 Aug → | ||
| 13–4 | 0.13 | 12% | 6 Aug → | ||
| 13–8 | 0.13 | 22% | 6 Aug → |
Match data via Leetify.