F_4_Respect — CS2 Stats
76561198198785089[U:1:238519361]
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 | 42.5% | 52.8% | 10.2% short |
| Shot accuracy | 14.7% | 13.7% | above |
| Kill/death ratio | 1.24 | 1.08 | above |
| Match win rate | 46.2% | 49.2% | 3.0% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. 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: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 94% playstyle similarity
Most alike: opening-fight frequency, 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 85 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 7.3/10 (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 |
|---|---|---|---|---|---|
| S | 26 | 17–9 | 65% | 0.04 | |
| A | 16 | 10–6 | 63% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| D | 11 | 2–9 | 18% | 0.04 | |
| S | 9 | 7–2 | 78% | 0.02 | |
| D | 9 | 3–6 | 33% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 4 | 4–0 | 100% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.01 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.05 |
| shelter | — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 128 | 48% | 1.08 | 16.3 |
| Mirage | 128 | 55% | 1.27 | 16.4 |
| Anubis | 74 | 46% | 1.16 | 16.5 |
| Dust2 | 63 | 43% | 1.13 | 16.2 |
| Inferno | 56 | 52% | 1.18 | 16.8 |
| Nuke | 46 | 54% | 1.11 | 16.5 |
| Overpass | 19 | 37% | 1.14 | 17.0 |
| Vertigo | 17 | 41% | 1.23 | 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.12 | 25% | 25 Aug → | ||
| 12–12 | 0.01 | 20% | 25 Aug → | ||
| 8–13 | -0.06 | 18% | 24 Aug → | ||
| 13–2 | 0.04 | 20% | 22 Aug → | ||
| 13–5 | -0.00 | 27% | 22 Aug → | ||
| 8–13 | -0.02 | 12% | 22 Aug → | ||
| 15–15 | -0.01 | 23% | 22 Aug → | ||
| 13–6 | 0.04 | 19% | 22 Aug → | ||
| 13–8 | -0.03 | 10% | 22 Aug → | ||
| 16–13 | 0.03 | 16% | 22 Aug → | ||
| 11–13 | 0.00 | 12% | 22 Aug → | ||
| 13–3 | 0.11 | 25% | 20 Aug → | ||
| 13–3 | 0.06 | 26% | 18 Aug → | ||
| 13–5 | 0.01 | 8% | 17 Aug → | ||
| 10–13 | -0.01 | 17% | 17 Aug → | ||
| 16–13 | -0.01 | 10% | 17 Aug → | ||
| 16–14 | 0.02 | 35% | 17 Aug → | ||
| 12–12 | -0.04 | 19% | 17 Aug → | ||
| 5–13 | -0.01 | 18% | 17 Aug → | ||
| 9–13 | -0.09 | 17% | 17 Aug → | ||
| 13–8 | 0.00 | 15% | 17 Aug → | ||
| 11–13 | 0.01 | 23% | 13 Aug → | ||
| 6–13 | -0.02 | 33% | 12 Aug → | ||
| 13–11 | 0.07 | 37% | 12 Aug → | ||
| 5–2 | -0.02 | 25% | 12 Aug → | ||
| 9–13 | -0.03 | 19% | 12 Aug → | ||
| 13–5 | -0.00 | 29% | 12 Aug → | ||
| 10–13 | 0.02 | 23% | 12 Aug → | ||
| 10–13 | 0.01 | 16% | 8 Aug → | ||
| 13–1 | 0.06 | 22% | 8 Aug → | ||
| 1–13 | -0.10 | 19% | 8 Aug → | ||
| 13–7 | -0.01 | 23% | 8 Aug → | ||
| 13–9 | 0.08 | 22% | 8 Aug → | ||
| 13–11 | -0.01 | 27% | 7 Aug → | ||
| 4–13 | -0.01 | 21% | 7 Aug → | ||
| 8–13 | -0.04 | 11% | 7 Aug → | ||
| 12–12 | 0.00 | 17% | 7 Aug → | ||
| 13–11 | 0.00 | 20% | 7 Aug → | ||
| 16–14 | -0.02 | 24% | 7 Aug → | ||
| 13–11 | -0.00 | 22% | 6 Aug → | ||
| 13–3 | 0.09 | 43% | 6 Aug → | ||
| 13–6 | 0.09 | 18% | 6 Aug → | ||
| 13–6 | 0.14 | 17% | 5 Aug → | ||
| 7–13 | 0.00 | 24% | 4 Aug → | ||
| 11–13 | 0.01 | 44% | 3 Aug → | ||
| 12–12 | 0.06 | 29% | 3 Aug → | ||
| 10–13 | 0.06 | 21% | 2 Aug → | ||
| 13–9 | 0.03 | 18% | 2 Aug → | ||
| 13–9 | 0.02 | 31% | 2 Aug → | ||
| 11–1 | 0.17 | 19% | 2 Aug → | ||
| 7–13 | 0.03 | 15% | 2 Aug → | ||
| 5–13 | -0.02 | 26% | 2 Aug → | ||
| 12–12 | 0.02 | 31% | 2 Aug → | ||
| 13–3 | 0.17 | 39% | 2 Aug → | ||
| 8–13 | 0.02 | 26% | 2 Aug → | ||
| 13–7 | 0.08 | 20% | 2 Aug → | ||
| 12–12 | 0.09 | 27% | 2 Aug → | ||
| 4–13 | -0.07 | 28% | 30 Jul → | ||
| 8–13 | 0.11 | 29% | 30 Jul → | ||
| 8–13 | -0.05 | 21% | 30 Jul → | ||
| 11–13 | 0.02 | 19% | 30 Jul → | ||
| 13–1 | 0.07 | 28% | 29 Jul → | ||
| 9–13 | -0.06 | 20% | 29 Jul → | ||
| 13–10 | 0.10 | 34% | 29 Jul → | ||
| 9–13 | 0.00 | 33% | 28 Jul → | ||
| 9–13 | 0.01 | 21% | 28 Jul → | ||
| 12–12 | -0.02 | 16% | 28 Jul → | ||
| 9–13 | 0.10 | 21% | 28 Jul → | ||
| 13–5 | 0.14 | 19% | 28 Jul → | ||
| 13–7 | 0.14 | 20% | 26 Jul → | ||
| 12–12 | 0.07 | 23% | 26 Jul → | ||
| 11–13 | 0.01 | 18% | 26 Jul → | ||
| 5–13 | 0.04 | 22% | 26 Jul → | ||
| 13–7 | 0.03 | 25% | 26 Jul → | ||
| 13–5 | -0.02 | 32% | 26 Jul → | ||
| fachwerk | 13–4 | 0.05 | 15% | 26 Jul → | |
| 13–9 | 0.03 | 16% | 26 Jul → | ||
| shelter | 12–12 | -0.08 | 18% | 26 Jul → | |
| 11–5 | 0.05 | 32% | 26 Jul → | ||
| 13–5 | 0.17 | 22% | 26 Jul → | ||
| 13–7 | 0.03 | 31% | 26 Jul → | ||
| 8–13 | -0.00 | 26% | 26 Jul → | ||
| 13–2 | 0.14 | 18% | 25 Jul → | ||
| 13–8 | -0.02 | 18% | 25 Jul → | ||
| 13–1 | 0.09 | 11% | 25 Jul → | ||
| 13–9 | 0.03 | 12% | 25 Jul → | ||
| 13–1 | 0.15 | 31% | 25 Jul → | ||
| 11–13 | 0.06 | 20% | 24 Jul → | ||
| 13–11 | -0.01 | 20% | 24 Jul → | ||
| 12–12 | -0.03 | 11% | 22 Jul → | ||
| 15–15 | 0.03 | 24% | 22 Jul → | ||
| 13–7 | 0.04 | 33% | 22 Jul → | ||
| 13–10 | 0.08 | 21% | 22 Jul → | ||
| 6–13 | 0.00 | 16% | 21 Jul → | ||
| 3–13 | -0.03 | 30% | 21 Jul → | ||
| 13–9 | 0.04 | 18% | 21 Jul → | ||
| 13–5 | -0.01 | 30% | 21 Jul → | ||
| 13–10 | 0.00 | 18% | 21 Jul → | ||
| 13–11 | -0.01 | 15% | 21 Jul → | ||
| 13–4 | 0.11 | 29% | 21 Jul → |
Match data via Leetify.
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