FeRari_PeEk — CS2 Stats
76561199787097419[U:1:1826831691]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 59.7% | 47.2% | 49.9% | above |
| Shot accuracy | 0.0% | 12.7% | 13.4% | 13.4% short |
| Kill/death ratio | 1.58 | 1.09 | 1.12 | above |
| Match win rate | 54.2% | 46.6% | 48.4% | above |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.06 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 b1t 95% playstyle similarity
Most alike: aim profile, opening-duel success.
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 96 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 39 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.
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 6.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 31 | 20–11 | 65% | 0.06 | |
| A | 29 | 17–12 | 59% | 0.03 | |
| S | 18 | 12–6 | 67% | 0.07 | |
| S | 13 | 10–3 | 77% | 0.07 | |
| A | 5 | 3–2 | 60% | 0.08 | |
| — | 2 | 2–0 | 100% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (59% over 29). Start with the 6 essential Dust 2 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 resultsLLLLL
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 | |
|---|---|---|---|---|---|
| 8–13 | -0.02 | 23% | 7 Apr → | ||
| 10–13 | 0.17 | 32% | 6 Apr → | ||
| 11–13 | 0.10 | 37% | 6 Apr → | ||
| 13–4 | 0.13 | 31% | 6 Apr → | ||
| 5–13 | 0.06 | 32% | 6 Apr → | ||
| 13–4 | 0.08 | 23% | 6 Apr → | ||
| 13–16 | 0.01 | 33% | 6 Apr → | ||
| 13–7 | 0.05 | 29% | 6 Apr → | ||
| 13–10 | 0.13 | 18% | 6 Apr → | ||
| 9–13 | 0.02 | 54% | 6 Apr → | ||
| 13–6 | -0.06 | 100% | 6 Apr → | ||
| 13–6 | 0.03 | 28% | 6 Apr → | ||
| 9–13 | 0.05 | 35% | 6 Apr → | ||
| 11–13 | -0.02 | 25% | 6 Apr → | ||
| 3–0 | 0.00 | 0% | 6 Apr → | ||
| 2–13 | -0.06 | 11% | 6 Apr → | ||
| 8–13 | -0.00 | 33% | 5 Apr → | ||
| 13–2 | 0.14 | 44% | 5 Apr → | ||
| 13–6 | 0.10 | 35% | 5 Apr → | ||
| 3–13 | -0.00 | 50% | 5 Apr → | ||
| 2–13 | 0.06 | 41% | 5 Apr → | ||
| 13–6 | -0.01 | 31% | 5 Apr → | ||
| 13–8 | 0.02 | 30% | 5 Apr → | ||
| 16–14 | 0.01 | 33% | 5 Apr → | ||
| 3–13 | -0.08 | 64% | 4 Apr → | ||
| 4–13 | -0.08 | 32% | 4 Apr → | ||
| 13–10 | 0.01 | 47% | 4 Apr → | ||
| 9–1 | 0.35 | 24% | 4 Apr → | ||
| 6–13 | 0.07 | 31% | 3 Apr → | ||
| 7–13 | 0.03 | 31% | 3 Apr → | ||
| 8–13 | 0.00 | 32% | 3 Apr → | ||
| 0–13 | -0.03 | 42% | 2 Apr → | ||
| 13–10 | 0.05 | 38% | 2 Apr → | ||
| 13–11 | 0.08 | 41% | 1 Apr → | ||
| 13–10 | 0.08 | 23% | 31 Mar → | ||
| 13–7 | 0.05 | 25% | 31 Mar → | ||
| 13–3 | 0.13 | 24% | 31 Mar → | ||
| 5–13 | 0.06 | 19% | 30 Mar → | ||
| 16–13 | 0.08 | 25% | 29 Mar → | ||
| 13–11 | 0.11 | 24% | 28 Mar → | ||
| 13–5 | 0.04 | 24% | 28 Mar → | ||
| 11–13 | 0.03 | 22% | 28 Mar → | ||
| 13–10 | 0.09 | 39% | 27 Mar → | ||
| 7–1 | 0.09 | 39% | 27 Mar → | ||
| 13–3 | -0.04 | 29% | 27 Mar → | ||
| 16–12 | 0.15 | 28% | 26 Mar → | ||
| 16–12 | 0.13 | 20% | 26 Mar → | ||
| 13–4 | 0.10 | 27% | 26 Mar → | ||
| 13–11 | 0.07 | 22% | 26 Mar → | ||
| 13–10 | 0.01 | 38% | 26 Mar → | ||
| 13–10 | 0.02 | 13% | 26 Mar → | ||
| 13–7 | 0.06 | 24% | 25 Mar → | ||
| 13–6 | 0.06 | 24% | 25 Mar → | ||
| 13–9 | 0.03 | 18% | 25 Mar → | ||
| 13–6 | 0.05 | 28% | 25 Mar → | ||
| 13–7 | 0.15 | 32% | 25 Mar → | ||
| 16–13 | 0.09 | 25% | 25 Mar → | ||
| 7–13 | 0.04 | 18% | 25 Mar → | ||
| 5–13 | 0.02 | 13% | 24 Mar → | ||
| 13–5 | -0.01 | 33% | 24 Mar → | ||
| 13–10 | 0.03 | 17% | 24 Mar → | ||
| 3–13 | 0.11 | 23% | 24 Mar → | ||
| 13–4 | 0.10 | 58% | 24 Mar → | ||
| 13–6 | 0.07 | 38% | 24 Mar → | ||
| 16–13 | 0.05 | 25% | 24 Mar → | ||
| 13–2 | -0.03 | 46% | 23 Mar → | ||
| 13–4 | 0.03 | 36% | 23 Mar → | ||
| 8–13 | 0.01 | 29% | 23 Mar → | ||
| 8–13 | 0.07 | 50% | 23 Mar → | ||
| 13–11 | 0.12 | 22% | 23 Mar → | ||
| 13–3 | -0.04 | 38% | 23 Mar → | ||
| 6–3 | 0.23 | 25% | 23 Mar → | ||
| 4–13 | 0.04 | 46% | 23 Mar → | ||
| 13–6 | 0.11 | 22% | 23 Mar → | ||
| 13–4 | 0.12 | 18% | 22 Mar → | ||
| 11–13 | 0.04 | 36% | 20 Mar → | ||
| 7–13 | 0.02 | 34% | 20 Mar → | ||
| 13–3 | 0.16 | 24% | 20 Mar → | ||
| 13–7 | 0.00 | 24% | 20 Mar → | ||
| 13–8 | 0.00 | 27% | 20 Mar → | ||
| 9–13 | 0.05 | 29% | 20 Mar → | ||
| 10–13 | 0.05 | 59% | 20 Mar → | ||
| 13–3 | 0.28 | 49% | 20 Mar → | ||
| 13–10 | 0.04 | 37% | 20 Mar → | ||
| 1–13 | 0.11 | 41% | 19 Mar → | ||
| 13–6 | 0.04 | 31% | 18 Mar → | ||
| 13–8 | 0.02 | 17% | 18 Mar → | ||
| 13–5 | -0.03 | 60% | 18 Mar → | ||
| 15–15 | -0.00 | 23% | 18 Mar → | ||
| 13–10 | -0.01 | 21% | 18 Mar → | ||
| 13–6 | -0.01 | 40% | 18 Mar → | ||
| 13–2 | 0.16 | 38% | 18 Mar → | ||
| 13–5 | 0.03 | 21% | 18 Mar → | ||
| 13–6 | 0.03 | 39% | 18 Mar → | ||
| 13–1 | 0.13 | 25% | 18 Mar → | ||
| 9–3 | -0.05 | 38% | 18 Mar → | ||
| 8–13 | 0.08 | 38% | 18 Mar → | ||
| 7–13 | -0.03 | 41% | 18 Mar → | ||
| 14–16 | 0.11 | 21% | 18 Mar → | ||
| 13–2 | 0.10 | 31% | 17 Mar → |
Match data via Leetify.