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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side opener
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 98% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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 98 — the mechanical foundation is a clear strength.
CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 71% on CT to 49% 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 8.5/10 (Elite), 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 | 28 | 17–11 | 61% | 0.05 | |
| C | 18 | 8–10 | 44% | 0.02 | |
| S | 17 | 13–4 | 76% | 0.07 | |
| C | 17 | 7–10 | 41% | 0.01 | |
| S | 9 | 8–1 | 89% | 0.05 | |
| D | 6 | 2–4 | 33% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.07 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 412 | 67% | 1.54 | 19.7 |
| Ancient | 297 | 72% | 1.55 | 18.5 |
| Dust2 | 295 | 69% | 1.86 | 20.1 |
| Anubis | 243 | 65% | 1.71 | 19.9 |
| Vertigo | 68 | 81% | 1.78 | 18.4 |
| Inferno | 68 | 62% | 1.50 | 17.1 |
| Overpass | 55 | 80% | 1.74 | 18.6 |
| Train | 30 | 57% | 1.63 | 18.2 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | 0.00 | 13% | 26 Aug → | ||
| 13–6 | 0.04 | 27% | 26 Aug → | ||
| 13–6 | 0.06 | 19% | 26 Aug → | ||
| 4–7 | -0.02 | 29% | 13 Aug → | ||
| 5–6 | 0.04 | 45% | 13 Aug → | ||
| 9–13 | -0.03 | 21% | 13 Aug → | ||
| 11–13 | 0.02 | 38% | 12 Aug → | ||
| 10–13 | -0.04 | 12% | 21 Jul → | ||
| 8–13 | -0.01 | 19% | 21 Jul → | ||
| 13–8 | 0.02 | 15% | 19 Jul → | ||
| 16–13 | 0.07 | 50% | 19 Jul → | ||
| 13–7 | 0.05 | 50% | 19 Jul → | ||
| 10–13 | -0.05 | 50% | 19 Jul → | ||
| 13–16 | 0.08 | 26% | 19 Jul → | ||
| 13–9 | 0.03 | 17% | 12 Jul → | ||
| 13–6 | 0.08 | 26% | 12 Jul → | ||
| 13–5 | -0.01 | 12% | 11 Jul → | ||
| 13–6 | 0.08 | 30% | 11 Jul → | ||
| 13–6 | 0.08 | 50% | 11 Jul → | ||
| 13–9 | -0.00 | 28% | 9 Jul → | ||
| 13–6 | 0.06 | 15% | 9 Jul → | ||
| 13–7 | -0.00 | 34% | 9 Jul → | ||
| 13–7 | 0.08 | 34% | 7 Jul → | ||
| 13–8 | 0.07 | 28% | 7 Jul → | ||
| 13–3 | 0.03 | 50% | 21 Jun → | ||
| 0–3 | -0.10 | 0% | 8 Jun → | ||
| 8–13 | -0.01 | 36% | 8 Jun → | ||
| 13–13 | 0.02 | 17% | 8 Jun → | ||
| 2–13 | -0.03 | 58% | 7 Jun → | ||
| 13–10 | 0.06 | 39% | 6 Jun → | ||
| 8–13 | -0.01 | 30% | 6 Jun → | ||
| 13–6 | 0.01 | 18% | 4 Jun → | ||
| 11–13 | 0.01 | 40% | 3 Jun → | ||
| 20–22 | 0.02 | 36% | 3 Jun → | ||
| 2–0 | 0.00 | 0% | 2 Jun → | ||
| 10–7 | -0.01 | 26% | 2 Jun → | ||
| 13–8 | 0.01 | 56% | 2 Jun → | ||
| 8–13 | -0.01 | 30% | 31 May → | ||
| 13–6 | 0.06 | 36% | 31 May → | ||
| 3–13 | -0.06 | 22% | 29 May → | ||
| 13–4 | 0.03 | 23% | 27 May → | ||
| 13–5 | 0.07 | 36% | 27 May → | ||
| 2–13 | -0.04 | 44% | 21 May → | ||
| 11–13 | -0.04 | 25% | 20 May → | ||
| 15–19 | 0.00 | 43% | 20 May → | ||
| 13–8 | -0.00 | 21% | 20 May → | ||
| 5–13 | -0.05 | 21% | 13 May → | ||
| 8–13 | -0.10 | 33% | 13 May → | ||
| 13–4 | 0.04 | 28% | 13 May → | ||
| 6–13 | 0.14 | 44% | 8 May → | ||
| 13–8 | 0.07 | 28% | 8 May → | ||
| 13–6 | 0.07 | 33% | 8 May → | ||
| 16–14 | 0.07 | 30% | 4 May → | ||
| 13–10 | 0.09 | 55% | 4 May → | ||
| 13–7 | 0.01 | 29% | 3 May → | ||
| 13–3 | 0.11 | 45% | 3 May → | ||
| 12–12 | 0.13 | 27% | 3 May → | ||
| 13–7 | 0.04 | 26% | 3 May → | ||
| 9–13 | 0.01 | 20% | 26 Apr → | ||
| 13–5 | -0.01 | 29% | 26 Apr → | ||
| 8–13 | 0.05 | 13% | 26 Apr → | ||
| 13–3 | 0.09 | 20% | 25 Apr → | ||
| 13–5 | 0.06 | 25% | 25 Apr → | ||
| 13–8 | 0.05 | 24% | 25 Apr → | ||
| 13–1 | 0.03 | 20% | 25 Apr → | ||
| 1–13 | -0.09 | 26% | 23 Apr → | ||
| 5–7 | 0.04 | 43% | 20 Apr → | ||
| 11–13 | 0.05 | 27% | 20 Apr → | ||
| 3–13 | -0.06 | 32% | 19 Apr → | ||
| 4–13 | 0.02 | 27% | 19 Apr → | ||
| 13–6 | 0.04 | 28% | 19 Apr → | ||
| 14–16 | -0.00 | 22% | 13 Apr → | ||
| 13–11 | 0.09 | 22% | 10 Apr → | ||
| 13–8 | 0.15 | 37% | 10 Apr → | ||
| 13–5 | 0.10 | 31% | 10 Apr → | ||
| 13–11 | 0.01 | 10% | 10 Apr → | ||
| 5–13 | 0.04 | 24% | 7 Apr → | ||
| 9–13 | 0.01 | 18% | 7 Apr → | ||
| 4–13 | 0.01 | 39% | 7 Apr → | ||
| 13–4 | 0.15 | 39% | 7 Apr → | ||
| 13–8 | 0.16 | 22% | 7 Apr → | ||
| 13–1 | 0.12 | 31% | 7 Apr → | ||
| 13–10 | 0.09 | 29% | 7 Apr → | ||
| 13–9 | 0.05 | 31% | 7 Apr → | ||
| 13–2 | 0.13 | 31% | 7 Apr → | ||
| 13–7 | 0.06 | 19% | 6 Apr → | ||
| 13–8 | 0.05 | 18% | 6 Apr → | ||
| 13–16 | 0.13 | 30% | 5 Apr → | ||
| 8–13 | 0.03 | 29% | 5 Apr → | ||
| 7–13 | 0.04 | 31% | 5 Apr → | ||
| 13–8 | 0.06 | 24% | 5 Apr → | ||
| 13–8 | 0.15 | 33% | 4 Apr → | ||
| 13–3 | 0.23 | 29% | 4 Apr → | ||
| 13–10 | 0.27 | 51% | 4 Apr → | ||
| 13–11 | 0.04 | 22% | 4 Apr → | ||
| 13–0 | 0.15 | 33% | 4 Apr → | ||
| 11–13 | 0.07 | 30% | 4 Apr → | ||
| 13–8 | 0.08 | 38% | 4 Apr → | ||
| 13–1 | 0.14 | 44% | 4 Apr → | ||
| 8–13 | 0.02 | 17% | 2 Apr → |
Match data via Leetify.
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