ca$H — CS2 Stats
76561197979306288[U:1:19040560]
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 | 54.2% | 48.1% | above |
| Shot accuracy | 16.3% | 12.9% | above |
| Kill/death ratio | 1.32 | 1.08 | above |
| Match win rate | 48.2% | 46.5% | above |
Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.03 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafingStrong 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 s1mple 95% 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 92 — the mechanical foundation is a clear strength.
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 65% on CT to 49% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 567ms 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 7.8/10 (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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | 0.05 | |
| C | 20 | 7–13 | 35% | 0.04 | |
| C | 18 | 8–10 | 44% | 0.04 | |
| C | 14 | 5–9 | 36% | 0.01 | |
| A | 13 | 8–5 | 62% | 0.05 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 9 | 78% | 1.86 | 21.3 |
| Dust2 | 5 | 40% | 0.88 | 15.8 |
| Nuke | 5 | 60% | 1.46 | 19.2 |
| Ancient | 3 | 67% | 0.96 | 15.3 |
| Inferno | 3 | 33% | 1.17 | 22.0 |
| Anubis | 2 | 50% | 0.86 | 14.5 |
| Cache | 2 | 50% | 1.22 | 17.5 |
| Overpass | 1 | 0% | 0.32 | 6.0 |
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.
35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.13 | 28% | 28 Aug → | ||
| 16–14 | 0.09 | 27% | 28 Aug → | ||
| 13–11 | 0.15 | 29% | 27 Aug → | ||
| 11–13 | -0.03 | 19% | 26 Aug → | ||
| 13–0 | 0.08 | 33% | 26 Aug → | ||
| 13–9 | -0.03 | 36% | 26 Aug → | ||
| 11–13 | 0.02 | 21% | 25 Aug → | ||
| 13–11 | 0.10 | 24% | 21 Aug → | ||
| 13–11 | 0.07 | 26% | 21 Aug → | ||
| 11–13 | 0.01 | 32% | 20 Aug → | ||
| 9–13 | 0.02 | 21% | 20 Aug → | ||
| 15–15 | 0.02 | 18% | 20 Aug → | ||
| 13–7 | -0.01 | 21% | 20 Aug → | ||
| 11–13 | 0.03 | 30% | 19 Aug → | ||
| 9–13 | 0.05 | 27% | 19 Aug → | ||
| 10–13 | -0.06 | 32% | 19 Aug → | ||
| 13–6 | 0.09 | 33% | 19 Aug → | ||
| 9–13 | 0.02 | 27% | 19 Aug → | ||
| 13–9 | 0.13 | 33% | 18 Aug → | ||
| 13–9 | 0.02 | 33% | 18 Aug → | ||
| 13–6 | 0.18 | 30% | 18 Aug → | ||
| 13–9 | 0.02 | 12% | 18 Aug → | ||
| 9–13 | 0.03 | 23% | 18 Aug → | ||
| 13–7 | -0.02 | 18% | 17 Aug → | ||
| 13–10 | 0.06 | 22% | 17 Aug → | ||
| 11–13 | -0.07 | 23% | 17 Aug → | ||
| 13–16 | 0.07 | 27% | 17 Aug → | ||
| 16–13 | 0.06 | 23% | 17 Aug → | ||
| 13–2 | 0.05 | 37% | 17 Aug → | ||
| 6–13 | 0.02 | 32% | 16 Aug → | ||
| 6–13 | 0.04 | 36% | 16 Aug → | ||
| 9–13 | 0.09 | 29% | 16 Aug → | ||
| 5–13 | 0.08 | 30% | 16 Aug → | ||
| 12–16 | 0.09 | 28% | 15 Aug → | ||
| 13–9 | 0.03 | 24% | 14 Aug → | ||
| 13–10 | 0.02 | 29% | 14 Aug → | ||
| 7–13 | 0.00 | 40% | 14 Aug → | ||
| 14–16 | 0.04 | 38% | 14 Aug → | ||
| 3–13 | -0.07 | 28% | 13 Aug → | ||
| 4–13 | -0.07 | 17% | 13 Aug → | ||
| 8–13 | -0.01 | 31% | 13 Aug → | ||
| 13–10 | 0.03 | 18% | 13 Aug → | ||
| 9–13 | 0.01 | 13% | 13 Aug → | ||
| 13–8 | 0.07 | 34% | 12 Aug → | ||
| 13–1 | 0.09 | 26% | 12 Aug → | ||
| 16–13 | 0.05 | 21% | 12 Aug → | ||
| 13–6 | 0.03 | 32% | 12 Aug → | ||
| 13–4 | 0.04 | 31% | 11 Aug → | ||
| 13–10 | 0.06 | 25% | 11 Aug → | ||
| 15–15 | 0.05 | 26% | 11 Aug → | ||
| 7–13 | 0.01 | 34% | 11 Aug → | ||
| 13–7 | 0.03 | 34% | 11 Aug → | ||
| 13–10 | 0.08 | 21% | 11 Aug → | ||
| 4–13 | 0.02 | 33% | 10 Aug → | ||
| 13–10 | -0.02 | 23% | 10 Aug → | ||
| 9–13 | 0.00 | 22% | 10 Aug → | ||
| 13–7 | 0.03 | 27% | 10 Aug → | ||
| 13–2 | 0.07 | 14% | 10 Aug → | ||
| 13–0 | 0.12 | 17% | 9 Aug → | ||
| 7–13 | 0.10 | 38% | 9 Aug → | ||
| 4–13 | 0.00 | 27% | 9 Aug → | ||
| 13–9 | -0.01 | 36% | 9 Aug → | ||
| 13–11 | -0.04 | 36% | 9 Aug → | ||
| 11–13 | 0.04 | 35% | 9 Aug → | ||
| 16–13 | 0.01 | 25% | 9 Aug → | ||
| 2–13 | -0.07 | 33% | 9 Aug → | ||
| 7–13 | 0.05 | 27% | 8 Aug → | ||
| 8–13 | 0.07 | 30% | 8 Aug → | ||
| 13–8 | 0.07 | 31% | 8 Aug → | ||
| 13–7 | 0.05 | 32% | 8 Aug → | ||
| 9–13 | 0.10 | 28% | 8 Aug → | ||
| 9–13 | 0.02 | 47% | 7 Aug → | ||
| 10–13 | -0.01 | 32% | 7 Aug → | ||
| 13–11 | 0.07 | 27% | 7 Aug → | ||
| 6–13 | 0.02 | 29% | 6 Aug → | ||
| 5–13 | 0.00 | 47% | 6 Aug → | ||
| 16–13 | -0.01 | 29% | 6 Aug → | ||
| 7–13 | 0.01 | 31% | 6 Aug → | ||
| 13–11 | 0.01 | 53% | 6 Aug → | ||
| 16–14 | 0.03 | 19% | 6 Aug → | ||
| 10–13 | 0.00 | 29% | 6 Aug → | ||
| 7–13 | 0.04 | 32% | 5 Aug → | ||
| 7–13 | 0.06 | 40% | 5 Aug → | ||
| 6–13 | 0.01 | 39% | 5 Aug → | ||
| 2–13 | 0.03 | 23% | 5 Aug → | ||
| 9–13 | -0.02 | 27% | 4 Aug → | ||
| 13–6 | -0.01 | 19% | 4 Aug → | ||
| 6–13 | 0.04 | 28% | 3 Aug → | ||
| 6–13 | 0.10 | 26% | 3 Aug → | ||
| 2–13 | 0.01 | 40% | 3 Aug → | ||
| 13–9 | 0.06 | 24% | 3 Aug → | ||
| 16–14 | -0.03 | 28% | 3 Aug → | ||
| 13–2 | 0.12 | 31% | 3 Aug → | ||
| 10–13 | 0.03 | 22% | 2 Aug → | ||
| 8–13 | -0.00 | 23% | 2 Aug → | ||
| 13–16 | 0.02 | 18% | 2 Aug → | ||
| 13–9 | 0.07 | 39% | 2 Aug → | ||
| 10–13 | 0.02 | 23% | 2 Aug → | ||
| 6–13 | 0.02 | 33% | 2 Aug → | ||
| 13–2 | 0.13 | 24% | 2 Aug → |
Match data via Leetify.