4dapse — CS2 Stats
76561198092412761[U:1:132147033]✓ No bans
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 |
|---|---|---|
| Headshot rate | 60.6% | 52.8% |
| Shot accuracy | 13.5% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 43.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 jL 94% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution.
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.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 56% on CT to 35% 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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 16 | 12–4 | 75% | 0.03 | |
| S | 15 | 11–4 | 73% | 0.01 | |
| B | 14 | 7–7 | 50% | 0.07 | |
| S | 13 | 9–4 | 69% | 0.03 | |
| S | 10 | 8–2 | 80% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.08 | |
| office | C | 5 | 2–3 | 40% | 0.05 |
| — | 4 | 2–2 | 50% | 0.02 | |
| fachwerk | — | 3 | 2–1 | 67% | 0.05 |
| — | 3 | 2–1 | 67% | -0.02 | |
| poseidon | — | 3 | 1–2 | 33% | 0.10 |
| — | 2 | 0–2 | 0% | 0.00 | |
| italy | — | 2 | 1–1 | 50% | 0.01 |
| eldorado | — | 1 | 0–1 | 0% | -0.02 |
| boulder | — | 1 | 1–0 | 100% | -0.02 |
| shelter | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 215 | 49% | 1.11 | 16.4 |
| Anubis | 185 | 54% | 1.08 | 16.5 |
| Mirage | 162 | 52% | 1.05 | 16.4 |
| Inferno | 97 | 52% | 1.17 | 16.1 |
| Dust2 | 65 | 48% | 1.03 | 15.1 |
| Nuke | 52 | 48% | 1.08 | 15.6 |
| Vertigo | 29 | 48% | 1.10 | 16.8 |
| Overpass | 16 | 56% | 1.13 | 15.2 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 35.4299% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | 0.02 | 26% | 24 Aug → | ||
| 13–5 | 0.05 | 38% | 23 Aug → | ||
| 9–13 | 0.01 | 41% | 23 Aug → | ||
| 13–10 | 0.11 | 22% | 22 Aug → | ||
| 13–9 | -0.02 | 20% | 21 Aug → | ||
| 6–13 | -0.05 | 22% | 21 Aug → | ||
| 4–13 | 0.07 | 30% | 20 Aug → | ||
| fachwerk | 11–13 | 0.08 | 29% | 20 Aug → | |
| office | 12–12 | 0.15 | 48% | 20 Aug → | |
| italy | 13–1 | 0.06 | 43% | 19 Aug → | |
| office | 7–13 | -0.03 | 30% | 19 Aug → | |
| fachwerk | 13–10 | 0.02 | 53% | 18 Aug → | |
| italy | 8–13 | -0.04 | 29% | 18 Aug → | |
| office | 13–11 | 0.05 | 46% | 18 Aug → | |
| office | 13–6 | 0.03 | 43% | 18 Aug → | |
| 13–11 | 0.06 | 18% | 17 Aug → | ||
| 13–4 | 0.01 | 17% | 17 Aug → | ||
| 10–13 | -0.06 | 28% | 17 Aug → | ||
| 11–13 | -0.00 | 24% | 15 Aug → | ||
| 11–13 | -0.01 | 20% | 15 Aug → | ||
| 4–9 | -0.08 | 15% | 15 Aug → | ||
| 3–9 | -0.08 | 19% | 15 Aug → | ||
| 3–9 | -0.13 | 24% | 15 Aug → | ||
| 6–4 | 0.07 | 21% | 8 Aug → | ||
| eldorado | 4–9 | -0.02 | 28% | 8 Aug → | |
| 13–11 | 0.05 | 32% | 5 Aug → | ||
| 13–10 | 0.00 | 28% | 5 Aug → | ||
| 10–13 | -0.02 | 28% | 5 Aug → | ||
| 13–11 | 0.03 | 26% | 5 Aug → | ||
| 13–8 | 0.09 | 19% | 5 Aug → | ||
| 13–6 | 0.08 | 20% | 3 Aug → | ||
| 13–7 | 0.07 | 14% | 3 Aug → | ||
| 13–5 | 0.06 | 38% | 31 Jul → | ||
| poseidon | 8–8 | 0.09 | 41% | 29 Jul → | |
| office | 1–13 | 0.04 | 29% | 29 Jul → | |
| poseidon | 9–3 | 0.27 | 32% | 29 Jul → | |
| 7–9 | 0.13 | 23% | 29 Jul → | ||
| 4–9 | -0.07 | 27% | 29 Jul → | ||
| 9–5 | 0.20 | 21% | 28 Jul → | ||
| poseidon | 4–9 | -0.05 | 14% | 28 Jul → | |
| 5–13 | 0.09 | 34% | 28 Jul → | ||
| 13–8 | 0.06 | 23% | 28 Jul → | ||
| 8–13 | 0.00 | 14% | 28 Jul → | ||
| 9–2 | 0.43 | 35% | 28 Jul → | ||
| 13–11 | 0.01 | 29% | 27 Jul → | ||
| 13–6 | 0.07 | 20% | 27 Jul → | ||
| 13–3 | -0.01 | 29% | 27 Jul → | ||
| 13–5 | 0.07 | 26% | 26 Jul → | ||
| 13–6 | 0.03 | 40% | 25 Jul → | ||
| 13–6 | 0.05 | 24% | 25 Jul → | ||
| 16–13 | 0.06 | 29% | 24 Jul → | ||
| 13–5 | 0.07 | 40% | 24 Jul → | ||
| 13–10 | -0.03 | 31% | 23 Jul → | ||
| 13–6 | 0.14 | 25% | 22 Jul → | ||
| 10–13 | -0.00 | 19% | 22 Jul → | ||
| 6–1 | 0.16 | 14% | 22 Jul → | ||
| 13–10 | 0.05 | 23% | 22 Jul → | ||
| 10–13 | 0.03 | 37% | 22 Jul → | ||
| 2–13 | 0.09 | 21% | 21 Jul → | ||
| 13–9 | 0.02 | 25% | 21 Jul → | ||
| 13–3 | 0.04 | 26% | 20 Jul → | ||
| 13–6 | 0.07 | 33% | 20 Jul → | ||
| 13–4 | -0.00 | 26% | 19 Jul → | ||
| 13–6 | 0.04 | 27% | 18 Jul → | ||
| 13–5 | 0.03 | 35% | 17 Jul → | ||
| 13–11 | 0.01 | 34% | 16 Jul → | ||
| 13–9 | 0.06 | 25% | 15 Jul → | ||
| 13–7 | -0.03 | 8% | 13 Jul → | ||
| 13–6 | 0.00 | 38% | 13 Jul → | ||
| 10–13 | -0.02 | 11% | 13 Jul → | ||
| 11–13 | 0.01 | 24% | 13 Jul → | ||
| 11–13 | -0.02 | 23% | 13 Jul → | ||
| 13–6 | -0.05 | 24% | 13 Jul → | ||
| fachwerk | 13–4 | 0.03 | 25% | 13 Jul → | |
| boulder | 13–6 | -0.02 | 32% | 13 Jul → | |
| shelter | 13–11 | 0.01 | 39% | 13 Jul → | |
| 13–10 | -0.03 | 36% | 11 Jul → | ||
| 7–13 | -0.04 | 16% | 11 Jul → | ||
| 16–13 | 0.02 | 22% | 11 Jul → | ||
| 13–6 | 0.03 | 37% | 11 Jul → | ||
| 9–13 | -0.01 | 18% | 10 Jul → | ||
| 6–13 | -0.02 | 21% | 10 Jul → | ||
| 13–8 | 0.06 | 28% | 10 Jul → | ||
| 10–13 | 0.01 | 31% | 10 Jul → | ||
| 13–10 | 0.00 | 19% | 10 Jul → | ||
| 22–19 | 0.04 | 23% | 8 Jul → | ||
| 13–2 | 0.01 | 22% | 8 Jul → | ||
| 9–13 | -0.02 | 37% | 8 Jul → | ||
| 13–4 | 0.01 | 41% | 5 Jul → | ||
| 5–13 | -0.07 | 19% | 5 Jul → | ||
| 13–10 | 0.02 | 29% | 4 Jul → | ||
| 12–12 | 0.13 | 28% | 4 Jul → | ||
| 13–10 | -0.03 | 31% | 4 Jul → | ||
| 13–10 | 0.04 | 33% | 2 Jul → | ||
| 13–16 | 0.02 | 21% | 2 Jul → | ||
| 13–7 | -0.00 | 28% | 1 Jul → | ||
| 13–11 | 0.03 | 25% | 30 Jun → | ||
| 13–9 | 0.13 | 34% | 30 Jun → | ||
| 13–11 | 0.02 | 28% | 27 Jun → | ||
| 13–0 | 0.26 | 9% | 27 Jun → |
Match data via Leetify.
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