felipe — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingEffective 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 s1mple 96% 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 90 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Flashes. 0.94 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 596ms 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 8.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| C | 28 | 11–17 | 39% | 0.02 | |
| S | 21 | 14–7 | 67% | 0.04 | |
| B | 13 | 7–6 | 54% | 0.07 | |
| A | 13 | 8–5 | 62% | -0.01 | |
| A | 11 | 7–4 | 64% | 0.05 | |
| — | 4 | 3–1 | 75% | 0.00 | |
| — | 3 | 3–0 | 100% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 2 | 0–2 | 0% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.09 | |
| office | — | 1 | 0–1 | 0% | 0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (39% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 163 | 55% | 1.14 | 16.7 |
| Inferno | 69 | 54% | 1.07 | 15.0 |
| Dust2 | 56 | 54% | 1.17 | 16.3 |
| Nuke | 44 | 50% | 1.24 | 16.9 |
| Ancient | 38 | 37% | 0.93 | 14.6 |
| Anubis | 24 | 38% | 0.99 | 16.1 |
| Overpass | 24 | 62% | 0.94 | 16.0 |
| Vertigo | 22 | 45% | 1.18 | 16.4 |
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.
39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.02 | 29% | 27 Aug → | ||
| 13–10 | -0.03 | 21% | 22 Jul → | ||
| 13–5 | 0.06 | 25% | 21 Jul → | ||
| 5–9 | 0.04 | 24% | 20 Jul → | ||
| 13–7 | 0.01 | 26% | 20 Jul → | ||
| 4–13 | 0.05 | 17% | 20 Jul → | ||
| 13–3 | 0.00 | 23% | 20 Jul → | ||
| 13–11 | -0.01 | 22% | 20 Jul → | ||
| 5–13 | -0.09 | 27% | 20 Jul → | ||
| 13–8 | -0.03 | 9% | 20 Jul → | ||
| 13–3 | 0.07 | 17% | 19 Jul → | ||
| 13–8 | 0.03 | 21% | 19 Jul → | ||
| 13–6 | -0.02 | 30% | 18 Jul → | ||
| 13–1 | 0.07 | 22% | 18 Jul → | ||
| 15–15 | 0.04 | 17% | 17 Jul → | ||
| 13–10 | 0.10 | 21% | 16 Jul → | ||
| 6–13 | 0.05 | 17% | 16 Jul → | ||
| 11–13 | 0.12 | 25% | 15 Jul → | ||
| 13–7 | 0.09 | 22% | 14 Jul → | ||
| 3–13 | 0.05 | 21% | 14 Jul → | ||
| 13–5 | 0.07 | 34% | 13 Jul → | ||
| 12–12 | 0.02 | 28% | 13 Jul → | ||
| 13–4 | 0.18 | 35% | 13 Jul → | ||
| 13–3 | 0.17 | 26% | 11 Jul → | ||
| 9–13 | 0.05 | 37% | 11 Jul → | ||
| 13–4 | 0.04 | 19% | 10 Jul → | ||
| 13–0 | 0.12 | 7% | 10 Jul → | ||
| 13–8 | 0.07 | 27% | 10 Jul → | ||
| 13–11 | 0.01 | 23% | 10 Jul → | ||
| 13–6 | 0.08 | 32% | 10 Jul → | ||
| 15–15 | 0.10 | 25% | 9 Jul → | ||
| 5–13 | 0.11 | 21% | 9 Jul → | ||
| 3–10 | 0.09 | 29% | 9 Jul → | ||
| 13–3 | 0.12 | 20% | 9 Jul → | ||
| 13–10 | 0.10 | 18% | 7 Jul → | ||
| 9–13 | 0.04 | 22% | 7 Jul → | ||
| 13–7 | 0.10 | 22% | 7 Jul → | ||
| 8–13 | -0.03 | 24% | 4 Jul → | ||
| 5–13 | -0.06 | 17% | 29 Jun → | ||
| 13–11 | -0.04 | 18% | 28 Jun → | ||
| 13–10 | 0.06 | 23% | 28 Jun → | ||
| 13–11 | -0.01 | 16% | 28 Jun → | ||
| 13–8 | -0.05 | 15% | 28 Jun → | ||
| 5–13 | -0.09 | 17% | 28 Jun → | ||
| 10–13 | 0.05 | 20% | 25 Jun → | ||
| 4–13 | -0.04 | 13% | 24 Jun → | ||
| 13–9 | 0.04 | 28% | 24 Jun → | ||
| 13–2 | 0.08 | 10% | 10 Apr → | ||
| 12–12 | 0.07 | 12% | 8 Apr → | ||
| 7–13 | -0.06 | 16% | 8 Apr → | ||
| 7–13 | 0.01 | 35% | 16 Feb → | ||
| 13–8 | 0.11 | 16% | 16 Feb → | ||
| 13–9 | 0.06 | 23% | 12 Feb → | ||
| 2–13 | -0.04 | 33% | 7 Feb → | ||
| 13–10 | 0.02 | 21% | 7 Feb → | ||
| 13–8 | 0.10 | 27% | 1 Feb → | ||
| 5–13 | -0.02 | 20% | 1 Feb → | ||
| 13–9 | 0.03 | 29% | 1 Feb → | ||
| 13–11 | 0.02 | 20% | 27 Jan → | ||
| 13–8 | 0.00 | 30% | 27 Jan → | ||
| 13–11 | 0.07 | 16% | 17 Jan → | ||
| 13–4 | 0.16 | 39% | 17 Jan → | ||
| 13–9 | -0.08 | 22% | 6 Jan → | ||
| 13–7 | 0.15 | 30% | 5 Jan → | ||
| 13–8 | 0.01 | 21% | 2 Jan → | ||
| 13–11 | 0.05 | 19% | 25 Dec → | ||
| 13–4 | -0.01 | 22% | 25 Dec → | ||
| 4–13 | 0.00 | 0% | 24 Dec → | ||
| 14–16 | -0.04 | 18% | 22 Dec → | ||
| 5–3 | -0.07 | 14% | 21 Dec → | ||
| 13–5 | -0.02 | 27% | 21 Dec → | ||
| office | 12–12 | 0.09 | 44% | 9 Dec → | |
| 7–13 | 0.05 | 31% | 9 Dec → | ||
| 2–13 | -0.08 | 25% | 3 Dec → | ||
| 3–4 | 0.00 | 0% | 23 Nov → | ||
| 18–19 | -0.04 | 15% | 20 Nov → | ||
| 14–16 | 0.00 | 22% | 19 Nov → | ||
| 20–22 | -0.03 | 30% | 18 Nov → | ||
| 11–13 | 0.03 | 16% | 15 Nov → | ||
| 13–8 | -0.02 | 27% | 13 Nov → | ||
| 1–13 | -0.01 | 40% | 12 Nov → | ||
| 13–8 | 0.02 | 17% | 11 Nov → | ||
| 13–11 | -0.02 | 27% | 10 Nov → | ||
| 7–13 | -0.06 | 12% | 10 Nov → | ||
| 13–5 | 0.03 | 28% | 9 Nov → | ||
| 10–13 | 0.08 | 24% | 8 Nov → | ||
| 13–5 | 0.17 | 29% | 8 Nov → | ||
| 13–7 | 0.07 | 32% | 8 Nov → | ||
| 13–8 | -0.02 | 15% | 7 Nov → | ||
| 1–12 | -0.00 | 21% | 7 Nov → | ||
| 9–13 | -0.03 | 33% | 7 Nov → | ||
| 11–13 | 0.16 | 33% | 7 Nov → | ||
| 13–5 | 0.08 | 19% | 7 Nov → | ||
| 6–13 | 0.05 | 22% | 7 Nov → | ||
| 5–13 | 0.00 | 26% | 7 Nov → | ||
| 16–13 | -0.08 | 11% | 6 Nov → | ||
| 13–7 | -0.03 | 20% | 27 Oct → | ||
| 1–13 | -0.11 | 29% | 23 Oct → | ||
| 14–16 | -0.01 | 16% | 22 Oct → | ||
| 7–9 | -0.11 | 8% | 15 Oct → |
Match data via Leetify.