FatCaKezZ — CS2 Stats
76561198067741647[U:1:107475919]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective 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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
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 64% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.
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 8.0/10 (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 |
|---|---|---|---|---|---|
| A | 38 | 23–15 | 61% | 0.03 | |
| S | 26 | 19–7 | 73% | 0.01 | |
| S | 18 | 12–6 | 67% | 0.03 | |
| S | 11 | 10–1 | 91% | 0.03 | |
| S | 5 | 4–1 | 80% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (61% over 38). Start with the 6 essential Mirage 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 26 | 62% | 1.22 | 19.3 |
| Anubis | 19 | 58% | 1.17 | 17.5 |
| Inferno | 7 | 57% | 1.11 | 16.3 |
| Dust2 | 7 | 71% | 1.33 | 20.4 |
| Ancient | 6 | 50% | 0.89 | 14.5 |
| Nuke | 2 | 0% | 0.74 | 14.0 |
| Vertigo | 2 | 50% | 1.28 | 18.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.06 | 21% | 26 Aug → | ||
| 13–8 | -0.01 | 20% | 26 Aug → | ||
| 13–1 | 0.03 | 41% | 26 Aug → | ||
| 5–13 | -0.02 | 28% | 26 Aug → | ||
| 7–13 | 0.02 | 31% | 26 Aug → | ||
| 4–13 | -0.03 | 35% | 23 Aug → | ||
| 5–13 | -0.04 | 30% | 23 Aug → | ||
| 13–2 | 0.05 | 35% | 23 Aug → | ||
| 13–5 | -0.00 | 15% | 23 Aug → | ||
| 13–6 | 0.01 | 21% | 23 Aug → | ||
| 13–7 | 0.11 | 20% | 23 Aug → | ||
| 6–13 | -0.08 | 25% | 22 Aug → | ||
| 10–13 | 0.00 | 24% | 22 Aug → | ||
| 8–13 | 0.02 | 20% | 22 Aug → | ||
| 7–13 | -0.00 | 33% | 22 Aug → | ||
| 13–5 | 0.05 | 42% | 22 Aug → | ||
| 13–5 | 0.06 | 30% | 22 Aug → | ||
| 16–14 | 0.03 | 19% | 22 Aug → | ||
| 13–9 | 0.01 | 27% | 22 Aug → | ||
| 13–16 | 0.02 | 15% | 22 Aug → | ||
| 16–12 | -0.00 | 27% | 22 Aug → | ||
| 13–1 | 0.08 | 29% | 22 Aug → | ||
| 13–6 | -0.04 | 33% | 22 Aug → | ||
| 13–4 | 0.07 | 32% | 22 Aug → | ||
| 14–16 | -0.01 | 28% | 22 Aug → | ||
| 13–8 | 0.11 | 46% | 22 Aug → | ||
| 13–7 | -0.01 | 25% | 22 Aug → | ||
| 13–7 | 0.03 | 36% | 21 Aug → | ||
| 13–7 | -0.04 | 22% | 21 Aug → | ||
| 7–13 | -0.04 | 27% | 21 Aug → | ||
| 11–13 | -0.02 | 29% | 21 Aug → | ||
| 16–13 | 0.06 | 44% | 21 Aug → | ||
| 15–15 | 0.01 | 40% | 21 Aug → | ||
| 13–4 | 0.07 | 47% | 21 Aug → | ||
| 13–5 | 0.11 | 29% | 21 Aug → | ||
| 13–5 | 0.12 | 42% | 20 Aug → | ||
| 13–3 | 0.01 | 21% | 20 Aug → | ||
| 8–13 | 0.01 | 28% | 20 Aug → | ||
| 13–11 | -0.03 | 29% | 20 Aug → | ||
| 9–13 | 0.06 | 33% | 20 Aug → | ||
| 13–7 | 0.02 | 13% | 20 Aug → | ||
| 3–13 | 0.02 | 22% | 19 Aug → | ||
| 13–2 | -0.01 | 27% | 19 Aug → | ||
| 13–7 | 0.03 | 19% | 18 Aug → | ||
| 13–7 | -0.04 | 34% | 18 Aug → | ||
| 0–13 | -0.05 | 33% | 15 Aug → | ||
| 13–10 | 0.00 | 29% | 15 Aug → | ||
| 15–15 | 0.02 | 22% | 15 Aug → | ||
| 3–13 | 0.01 | 33% | 15 Aug → | ||
| 10–13 | 0.02 | 16% | 15 Aug → | ||
| 13–4 | 0.09 | 40% | 15 Aug → | ||
| 13–4 | 0.10 | 24% | 15 Aug → | ||
| 12–3 | 0.03 | 44% | 15 Aug → | ||
| 13–3 | 0.07 | 17% | 15 Aug → | ||
| 13–6 | 0.03 | 21% | 15 Aug → | ||
| 13–5 | 0.06 | 22% | 15 Aug → | ||
| 16–13 | 0.03 | 25% | 15 Aug → | ||
| 13–5 | 0.03 | 27% | 15 Aug → | ||
| 13–5 | 0.13 | 24% | 15 Aug → | ||
| 7–1 | 0.07 | 25% | 15 Aug → | ||
| 13–4 | 0.08 | 22% | 15 Aug → | ||
| 4–0 | 0.08 | 29% | 15 Aug → | ||
| 13–3 | 0.01 | 28% | 15 Aug → | ||
| 13–6 | 0.07 | 31% | 15 Aug → | ||
| 13–8 | 0.05 | 24% | 15 Aug → | ||
| 9–13 | -0.02 | 33% | 14 Aug → | ||
| 10–13 | 0.01 | 33% | 14 Aug → | ||
| 13–8 | 0.03 | 36% | 14 Aug → | ||
| 13–11 | -0.02 | 33% | 14 Aug → | ||
| 4–13 | 0.01 | 39% | 14 Aug → | ||
| 13–2 | 0.04 | 33% | 14 Aug → | ||
| 13–6 | 0.04 | 33% | 14 Aug → | ||
| 13–11 | 0.00 | 30% | 14 Aug → | ||
| 13–2 | 0.04 | 43% | 14 Aug → | ||
| 13–3 | 0.09 | 48% | 14 Aug → | ||
| 13–9 | -0.02 | 26% | 14 Aug → | ||
| 13–6 | 0.06 | 33% | 14 Aug → | ||
| 10–13 | -0.03 | 24% | 13 Aug → | ||
| 10–13 | -0.06 | 23% | 13 Aug → | ||
| 10–13 | -0.00 | 32% | 11 Aug → | ||
| 10–13 | 0.01 | 42% | 11 Aug → | ||
| 13–2 | 0.04 | 35% | 11 Aug → | ||
| 13–8 | 0.01 | 29% | 9 Aug → | ||
| 13–9 | 0.05 | 32% | 9 Aug → | ||
| 13–3 | 0.20 | 31% | 9 Aug → | ||
| 13–8 | 0.02 | 30% | 9 Aug → | ||
| 7–13 | 0.01 | 24% | 9 Aug → | ||
| 13–16 | 0.01 | 25% | 9 Aug → | ||
| 13–9 | 0.04 | 22% | 9 Aug → | ||
| 13–10 | -0.03 | 18% | 9 Aug → | ||
| 16–14 | 0.03 | 42% | 9 Aug → | ||
| 13–11 | 0.05 | 32% | 9 Aug → | ||
| 13–9 | 0.07 | 32% | 9 Aug → | ||
| 13–8 | -0.03 | 27% | 9 Aug → | ||
| 14–16 | -0.01 | 32% | 9 Aug → | ||
| 13–10 | -0.00 | 29% | 9 Aug → | ||
| 13–6 | 0.02 | 30% | 9 Aug → | ||
| 1–4 | -0.07 | 0% | 7 Aug → | ||
| 11–13 | -0.01 | 35% | 7 Aug → | ||
| 13–7 | 0.02 | 27% | 7 Aug → |
Match data via Leetify.
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