Ferrari Peek — CS2 Stats
76561198863200712[U:1:902934984]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | Level 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 51.8% | 52.8% | meets |
| Shot accuracy | 12.1% | 13.7% | 1.6% short |
| Kill/death ratio | 1.12 | 1.08 | above |
| Match win rate | 44.2% | 49.2% | 5.0% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 93% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower 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
Areas to improve
Reaction time. 586ms 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 7.0/10 (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 | 26 | 9–17 | 35% | 0.02 | |
| C | 18 | 7–11 | 39% | 0.02 | |
| C | 14 | 6–8 | 43% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.05 | |
| C | 10 | 4–6 | 40% | -0.00 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.04 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 150 | 55% | 1.25 | 20.3 |
| Dust2 | 109 | 53% | 1.22 | 19.2 |
| Ancient | 94 | 55% | 1.27 | 20.6 |
| Inferno | 77 | 38% | 1.12 | 18.0 |
| Anubis | 58 | 41% | 1.18 | 19.6 |
| Nuke | 46 | 54% | 1.23 | 19.6 |
| Train | 18 | 78% | 1.34 | 20.0 |
| Overpass | 5 | 80% | 1.18 | 17.8 |
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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.01 | 29% | 7 Aug → | ||
| 13–4 | 0.11 | 23% | 7 Aug → | ||
| 8–13 | -0.03 | 20% | 5 Aug → | ||
| 10–13 | -0.01 | 32% | 5 Aug → | ||
| 4–13 | -0.03 | 31% | 4 Aug → | ||
| 13–8 | -0.01 | 14% | 4 Aug → | ||
| 9–13 | -0.05 | 22% | 4 Aug → | ||
| 10–13 | -0.01 | 19% | 3 Aug → | ||
| 10–13 | 0.03 | 33% | 3 Aug → | ||
| 13–9 | 0.07 | 25% | 3 Aug → | ||
| 16–13 | 0.09 | 31% | 3 Aug → | ||
| 2–0 | 0.01 | 50% | 3 Aug → | ||
| 5–13 | -0.00 | 25% | 2 Aug → | ||
| 13–10 | 0.03 | 16% | 2 Aug → | ||
| 3–13 | -0.01 | 21% | 2 Aug → | ||
| 1–13 | -0.03 | 35% | 2 Aug → | ||
| 11–13 | 0.01 | 27% | 2 Aug → | ||
| 13–4 | -0.02 | 22% | 2 Aug → | ||
| 13–8 | -0.00 | 27% | 30 Jul → | ||
| 13–11 | -0.07 | 25% | 30 Jul → | ||
| 11–13 | -0.03 | 20% | 30 Jul → | ||
| 13–10 | -0.01 | 22% | 30 Jul → | ||
| 13–3 | 0.10 | 22% | 30 Jul → | ||
| 13–8 | -0.04 | 21% | 28 Jul → | ||
| 5–13 | -0.03 | 24% | 28 Jul → | ||
| 13–16 | 0.02 | 28% | 28 Jul → | ||
| 12–16 | 0.03 | 26% | 27 Jul → | ||
| 8–13 | 0.06 | 32% | 27 Jul → | ||
| 15–15 | 0.03 | 21% | 27 Jul → | ||
| 16–12 | 0.01 | 29% | 27 Jul → | ||
| 15–15 | -0.06 | 13% | 26 Jul → | ||
| 5–13 | 0.01 | 38% | 26 Jul → | ||
| 13–8 | 0.08 | 16% | 26 Jul → | ||
| 0–5 | -0.02 | 0% | 26 Jul → | ||
| 0–13 | -0.07 | 0% | 26 Jul → | ||
| 16–13 | 0.02 | 20% | 25 Jul → | ||
| 4–13 | 0.00 | 18% | 25 Jul → | ||
| 6–13 | -0.07 | 19% | 25 Jul → | ||
| 13–10 | 0.01 | 26% | 25 Jul → | ||
| 13–16 | -0.02 | 32% | 24 Jul → | ||
| 13–11 | 0.06 | 20% | 24 Jul → | ||
| 13–9 | 0.02 | 55% | 24 Jul → | ||
| 11–13 | -0.01 | 27% | 24 Jul → | ||
| 13–5 | -0.06 | 19% | 24 Jul → | ||
| 5–13 | -0.06 | 24% | 24 Jul → | ||
| 13–8 | 0.02 | 22% | 24 Jul → | ||
| 14–16 | -0.00 | 26% | 24 Jul → | ||
| 10–13 | -0.06 | 26% | 24 Jul → | ||
| 13–8 | 0.11 | 23% | 23 Jul → | ||
| 13–10 | 0.01 | 21% | 23 Jul → | ||
| 13–9 | 0.12 | 30% | 23 Jul → | ||
| 10–13 | 0.07 | 17% | 23 Jul → | ||
| 0–13 | -0.04 | 29% | 22 Jul → | ||
| 13–2 | 0.11 | 37% | 22 Jul → | ||
| 13–10 | -0.01 | 26% | 22 Jul → | ||
| 13–7 | 0.13 | 29% | 22 Jul → | ||
| 13–10 | 0.07 | 30% | 21 Jul → | ||
| 13–4 | -0.00 | 29% | 21 Jul → | ||
| 13–9 | 0.05 | 26% | 21 Jul → | ||
| 3–13 | -0.01 | 28% | 20 Jul → | ||
| 13–8 | 0.06 | 25% | 20 Jul → | ||
| 9–13 | 0.02 | 24% | 20 Jul → | ||
| 15–15 | -0.03 | 32% | 20 Jul → | ||
| 16–13 | 0.08 | 15% | 20 Jul → | ||
| 7–13 | 0.09 | 21% | 20 Jul → | ||
| 13–16 | -0.02 | 11% | 20 Jul → | ||
| 13–4 | -0.02 | 31% | 19 Jul → | ||
| 6–13 | -0.05 | 29% | 19 Jul → | ||
| 8–13 | -0.00 | 43% | 19 Jul → | ||
| 13–6 | 0.03 | 22% | 19 Jul → | ||
| 10–13 | -0.01 | 22% | 18 Jul → | ||
| 7–2 | -0.01 | 13% | 18 Jul → | ||
| 6–13 | -0.08 | 29% | 18 Jul → | ||
| 4–13 | 0.00 | 0% | 16 Jul → | ||
| 5–13 | 0.00 | 29% | 16 Jul → | ||
| 10–13 | 0.12 | 22% | 16 Jul → | ||
| 10–13 | 0.06 | 30% | 15 Jul → | ||
| 13–10 | 0.10 | 19% | 15 Jul → | ||
| 6–13 | 0.04 | 24% | 15 Jul → | ||
| 11–13 | 0.07 | 26% | 15 Jul → | ||
| 3–13 | -0.04 | 33% | 13 Jul → | ||
| 13–4 | 0.17 | 35% | 13 Jul → | ||
| 11–13 | 0.08 | 30% | 13 Jul → | ||
| 13–6 | 0.02 | 19% | 13 Jul → | ||
| 13–7 | 0.12 | 28% | 13 Jul → | ||
| 11–13 | 0.01 | 22% | 13 Jul → | ||
| 6–13 | 0.00 | 22% | 13 Jul → | ||
| 9–13 | 0.10 | 21% | 13 Jul → | ||
| 14–16 | 0.07 | 32% | 12 Jul → | ||
| 13–3 | 0.08 | 32% | 12 Jul → | ||
| 13–7 | 0.01 | 18% | 12 Jul → | ||
| 10–13 | 0.08 | 27% | 12 Jul → | ||
| 14–16 | 0.11 | 33% | 12 Jul → | ||
| 13–8 | 0.10 | 33% | 12 Jul → | ||
| 15–15 | 0.04 | 22% | 12 Jul → | ||
| 9–13 | -0.02 | 19% | 12 Jul → | ||
| 13–11 | 0.03 | 26% | 11 Jul → | ||
| 8–13 | 0.04 | 26% | 11 Jul → | ||
| 13–16 | 0.01 | 24% | 10 Jul → | ||
| 13–11 | 0.04 | 25% | 9 Jul → |
Match data via Leetify.