RequestTheClutch™ — CS2 Stats
76561198241591702[U:1:281325974]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | vs Pink band |
|---|---|---|---|
| Headshot rate | 41.6% | 48.1% | 6.5% short |
| Shot accuracy | 15.6% | 12.9% | above |
| Kill/death ratio | 1.29 | 1.08 | above |
| Match win rate | 43.5% | 46.5% | 3.0% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Pink band 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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 ZywOo 94% playstyle similarity
Most alike: utility contribution, 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 87 — the mechanical foundation is a clear strength.
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 6.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 36 | 12–24 | 33% | 0.04 | |
| C | 23 | 10–13 | 43% | 0.02 | |
| C | 19 | 8–11 | 42% | 0.03 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| D | 9 | 3–6 | 33% | 0.04 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 36). 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 5 | 80% | 1.90 | 17.4 |
| Overpass | 4 | 75% | 2.08 | 23.0 |
| Anubis | 4 | 50% | 1.78 | 14.8 |
| Mirage | 4 | 75% | 1.16 | 15.5 |
| Dust2 | 4 | 50% | 1.01 | 16.5 |
| Nuke | 1 | 100% | 1.50 | 15.0 |
| Ancient | 1 | 100% | 3.57 | 25.0 |
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 36 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.07 | 27% | 27 Aug → | ||
| 11–13 | -0.04 | 14% | 27 Aug → | ||
| 13–6 | 0.18 | 17% | 27 Aug → | ||
| 3–13 | -0.01 | 21% | 27 Aug → | ||
| 8–13 | 0.01 | 9% | 27 Aug → | ||
| 12–12 | -0.00 | 17% | 27 Aug → | ||
| 13–3 | -0.03 | 38% | 27 Aug → | ||
| 11–13 | 0.04 | 26% | 26 Aug → | ||
| 13–6 | 0.01 | 14% | 26 Aug → | ||
| 6–13 | 0.02 | 24% | 26 Aug → | ||
| 13–3 | 0.02 | 19% | 26 Aug → | ||
| 10–13 | -0.01 | 23% | 26 Aug → | ||
| 6–13 | -0.05 | 43% | 26 Aug → | ||
| 11–13 | 0.05 | 23% | 26 Aug → | ||
| 13–7 | 0.06 | 23% | 25 Aug → | ||
| 13–4 | 0.05 | 22% | 25 Aug → | ||
| 13–5 | 0.00 | 50% | 25 Aug → | ||
| 6–13 | -0.01 | 27% | 25 Aug → | ||
| 13–9 | 0.01 | 15% | 25 Aug → | ||
| 11–13 | 0.08 | 10% | 24 Aug → | ||
| 11–13 | 0.12 | 31% | 24 Aug → | ||
| 13–11 | -0.01 | 24% | 24 Aug → | ||
| 12–12 | -0.02 | 24% | 24 Aug → | ||
| 13–11 | 0.02 | 11% | 24 Aug → | ||
| 6–13 | 0.11 | 24% | 23 Aug → | ||
| 4–13 | -0.05 | 17% | 23 Aug → | ||
| 13–8 | 0.03 | 11% | 23 Aug → | ||
| 13–16 | -0.03 | 7% | 23 Aug → | ||
| 11–13 | 0.02 | 24% | 23 Aug → | ||
| 9–13 | 0.03 | 9% | 23 Aug → | ||
| 5–13 | -0.04 | 11% | 23 Aug → | ||
| 7–13 | -0.03 | 16% | 22 Aug → | ||
| 12–12 | 0.05 | 14% | 22 Aug → | ||
| 13–11 | 0.06 | 10% | 22 Aug → | ||
| 13–4 | 0.01 | 12% | 22 Aug → | ||
| 10–4 | -0.01 | 6% | 22 Aug → | ||
| 13–7 | 0.05 | 27% | 22 Aug → | ||
| 13–7 | 0.13 | 25% | 20 Aug → | ||
| 13–9 | 0.11 | 24% | 20 Aug → | ||
| 9–13 | 0.11 | 30% | 19 Aug → | ||
| 13–7 | 0.06 | 15% | 18 Aug → | ||
| 13–1 | 0.18 | 9% | 18 Aug → | ||
| 12–12 | 0.11 | 22% | 17 Aug → | ||
| 3–13 | -0.08 | 18% | 16 Aug → | ||
| 13–10 | 0.05 | 30% | 16 Aug → | ||
| 7–13 | 0.08 | 38% | 16 Aug → | ||
| 11–13 | 0.10 | 32% | 15 Aug → | ||
| 13–3 | 0.01 | 19% | 15 Aug → | ||
| 8–13 | 0.08 | 32% | 15 Aug → | ||
| 13–6 | -0.01 | 17% | 15 Aug → | ||
| 13–11 | 0.04 | 43% | 15 Aug → | ||
| 7–13 | 0.04 | 17% | 15 Aug → | ||
| 3–13 | 0.05 | 28% | 15 Aug → | ||
| 13–10 | 0.04 | 27% | 15 Aug → | ||
| 13–8 | 0.02 | 21% | 15 Aug → | ||
| 6–13 | -0.03 | 19% | 14 Aug → | ||
| 12–12 | 0.06 | 33% | 14 Aug → | ||
| 13–9 | 0.13 | 28% | 14 Aug → | ||
| 11–13 | 0.03 | 20% | 14 Aug → | ||
| 2–13 | 0.05 | 12% | 14 Aug → | ||
| 7–13 | 0.01 | 20% | 14 Aug → | ||
| 12–12 | -0.05 | 30% | 13 Aug → | ||
| 11–13 | 0.05 | 17% | 10 Aug → | ||
| 6–13 | -0.04 | 27% | 10 Aug → | ||
| 13–5 | 0.05 | 12% | 10 Aug → | ||
| 8–13 | 0.03 | 21% | 9 Aug → | ||
| 8–13 | 0.03 | 19% | 9 Aug → | ||
| 9–13 | 0.03 | 18% | 9 Aug → | ||
| 13–5 | 0.21 | 23% | 9 Aug → | ||
| 9–1 | 0.11 | 25% | 9 Aug → | ||
| 9–13 | 0.01 | 17% | 9 Aug → | ||
| 13–4 | 0.04 | 24% | 9 Aug → | ||
| 5–13 | -0.02 | 24% | 9 Aug → | ||
| 5–13 | -0.03 | 36% | 9 Aug → | ||
| 13–5 | 0.04 | 22% | 9 Aug → | ||
| 10–13 | 0.02 | 27% | 8 Aug → | ||
| 13–7 | 0.02 | 35% | 8 Aug → | ||
| 5–13 | 0.03 | 22% | 8 Aug → | ||
| 6–13 | -0.06 | 33% | 7 Aug → | ||
| 13–9 | 0.10 | 29% | 7 Aug → | ||
| 13–4 | 0.04 | 20% | 7 Aug → | ||
| 9–13 | 0.04 | 26% | 7 Aug → | ||
| 6–13 | 0.08 | 28% | 6 Aug → | ||
| 12–12 | -0.01 | 40% | 6 Aug → | ||
| 10–13 | -0.01 | 17% | 6 Aug → | ||
| 7–13 | -0.04 | 29% | 6 Aug → | ||
| 11–13 | 0.00 | 17% | 6 Aug → | ||
| 13–3 | 0.14 | 40% | 5 Aug → | ||
| 6–13 | 0.00 | 23% | 5 Aug → | ||
| 8–2 | 0.05 | 21% | 5 Aug → | ||
| 9–13 | 0.04 | 21% | 5 Aug → | ||
| 13–4 | 0.03 | 17% | 5 Aug → | ||
| 3–13 | -0.05 | 45% | 5 Aug → | ||
| 5–13 | 0.09 | 38% | 4 Aug → | ||
| 9–13 | 0.05 | 16% | 4 Aug → | ||
| 13–11 | 0.09 | 29% | 4 Aug → | ||
| 13–3 | 0.11 | 27% | 4 Aug → | ||
| 2–13 | 0.01 | 12% | 4 Aug → | ||
| 9–13 | -0.01 | 23% | 3 Aug → | ||
| 13–5 | 0.04 | 14% | 3 Aug → |
Match data via Leetify.