poundcake240 — CS2 Stats
76561199235077697[U:1:1274811969]
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 | 51.2% | 52.8% |
| Shot accuracy | 5.3% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 49.5% | 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.
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 device 94% 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. 590ms 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 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 |
|---|---|---|---|---|---|
 ancient | S | 26 | 17–9 | 65% | 0.01 |
 anubis | A | 20 | 11–9 | 55% | -0.01 |
 inferno | B | 17 | 9–8 | 53% | 0.02 |
 dust2 | C | 14 | 6–8 | 43% | -0.00 |
 mirage | C | 9 | 4–5 | 44% | 0.03 |
 nuke | S | 9 | 6–3 | 67% | 0.01 |
 vertigo | — | 2 | 2–0 | 100% | -0.03 |
 cache | — | 2 | 1–1 | 50% | 0.03 |
 overpass | — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 597 | 56% | 1.06 | 15.9 |
| Mirage | 491 | 47% | 1.05 | 15.8 |
| Anubis | 435 | 44% | 0.97 | 15.0 |
| Inferno | 394 | 55% | 1.13 | 15.8 |
| Dust2 | 338 | 47% | 1.06 | 15.7 |
| Vertigo | 140 | 54% | 1.10 | 16.7 |
| Nuke | 78 | 45% | 1.03 | 16.7 |
| Train | 41 | 44% | 0.83 | 13.0 |
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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 2–13 | -0.03 | 25% | 13 Aug → | |
| mirage | 2–13 | -0.02 | 40% | 9 Aug → | |
| ancient | 13–9 | 0.10 | 20% | 7 Aug → | |
| dust2 | 10–13 | -0.03 | 39% | 6 Aug → | |
| vertigo | 13–11 | -0.04 | 15% | 5 Aug → | |
| ancient | 13–10 | 0.00 | 18% | 5 Aug → | |
| anubis | 10–13 | -0.01 | 36% | 5 Aug → | |
| dust2 | 11–13 | 0.05 | 26% | 5 Aug → | |
| ancient | 13–8 | 0.02 | 29% | 5 Aug → | |
| dust2 | 13–7 | -0.04 | 26% | 5 Aug → | |
| inferno | 13–10 | 0.03 | 21% | 4 Aug → | |
| anubis | 11–13 | -0.02 | 30% | 3 Aug → | |
| ancient | 9–13 | 0.07 | 18% | 28 Jul → | |
| dust2 | 13–10 | 0.19 | 62% | 28 Jul → | |
| cache | 7–13 | 0.02 | 41% | 26 Jul → | |
| vertigo | 13–10 | -0.02 | 27% | 23 Jul → | |
| mirage | 8–13 | 0.06 | 33% | 17 Jul → | |
| anubis | 13–11 | 0.02 | 31% | 16 Jul → | |
| inferno | 8–8 | 0.02 | 29% | 16 Jul → | |
| anubis | 13–9 | -0.02 | 27% | 15 Jul → | |
| inferno | 13–11 | -0.01 | 27% | 15 Jul → | |
| dust2 | 13–9 | -0.07 | 19% | 14 Jul → | |
| ancient | 22–19 | -0.02 | 20% | 8 Jul → | |
| inferno | 13–9 | 0.04 | 31% | 7 Jul → | |
| ancient | 13–5 | 0.08 | 26% | 6 Jul → | |
| ancient | 16–14 | -0.02 | 29% | 6 Jul → | |
| ancient | 5–13 | 0.00 | 23% | 4 Jul → | |
| dust2 | 13–10 | 0.05 | 21% | 2 Jul → | |
| ancient | 13–16 | -0.03 | 39% | 2 Jul → | |
| inferno | 9–13 | 0.02 | 19% | 2 Jul → | |
| nuke | 13–9 | 0.06 | 50% | 2 Jul → | |
| anubis | 13–7 | -0.02 | 24% | 1 Jul → | |
| ancient | 13–11 | 0.01 | 18% | 27 Jun → | |
| anubis | 13–7 | -0.02 | 32% | 24 Jun → | |
| inferno | 13–10 | 0.02 | 28% | 24 Jun → | |
| mirage | 9–13 | -0.04 | 50% | 23 Jun → | |
| dust2 | 13–16 | -0.03 | 29% | 20 Jun → | |
| dust2 | 11–13 | 0.00 | 29% | 18 Jun → | |
| anubis | 13–6 | 0.01 | 34% | 18 Jun → | |
| ancient | 8–13 | -0.00 | 35% | 17 Jun → | |
| dust2 | 11–13 | -0.07 | 26% | 17 Jun → | |
| inferno | 9–6 | 0.11 | 71% | 6 Jun → | |
| ancient | 0–13 | -0.07 | 0% | 5 Jun → | |
| nuke | 13–10 | 0.04 | 33% | 28 May → | |
| dust2 | 3–13 | -0.10 | 50% | 28 May → | |
| overpass | 13–11 | 0.02 | 31% | 28 May → | |
| anubis | 13–10 | 0.02 | 19% | 25 May → | |
| ancient | 13–4 | 0.14 | 27% | 25 May → | |
| inferno | 7–13 | -0.09 | 23% | 23 May → | |
| nuke | 3–8 | -0.07 | 27% | 23 May → | |
| ancient | 8–13 | 0.00 | 19% | 21 May → | |
| ancient | 13–1 | 0.05 | 18% | 21 May → | |
| anubis | 13–10 | 0.03 | 17% | 17 May → | |
| anubis | 5–13 | -0.04 | 16% | 17 May → | |
| mirage | 13–10 | 0.08 | 18% | 16 May → | |
| anubis | 8–13 | -0.03 | 18% | 16 May → | |
| inferno | 8–8 | -0.01 | 26% | 15 May → | |
| inferno | 9–7 | 0.07 | 16% | 15 May → | |
| dust2 | 13–11 | 0.01 | 31% | 12 May → | |
| dust2 | 13–4 | 0.11 | 19% | 11 May → | |
| inferno | 6–13 | 0.04 | 26% | 11 May → | |
| mirage | 15–15 | 0.02 | 18% | 10 May → | |
| mirage | 13–8 | 0.02 | 26% | 8 May → | |
| nuke | 13–10 | -0.00 | 36% | 7 May → | |
| nuke | 13–9 | -0.02 | 10% | 7 May → | |
| ancient | 10–13 | -0.08 | 15% | 7 May → | |
| ancient | 13–4 | -0.01 | 29% | 7 May → | |
| ancient | 13–10 | 0.01 | 26% | 4 May → | |
| inferno | 7–13 | 0.02 | 19% | 3 May → | |
| mirage | 13–8 | 0.09 | 23% | 1 May → | |
| ancient | 13–2 | 0.12 | 22% | 29 Apr → | |
| anubis | 5–13 | -0.04 | 13% | 29 Apr → | |
| inferno | 19–22 | -0.01 | 21% | 27 Apr → | |
| anubis | 6–13 | -0.03 | 18% | 27 Apr → | |
| anubis | 6–13 | -0.08 | 22% | 27 Apr → | |
| nuke | 13–1 | 0.05 | 35% | 27 Apr → | |
| nuke | 20–22 | 0.00 | 26% | 27 Apr → | |
| cache | 13–11 | 0.05 | 23% | 24 Apr → | |
| ancient | 13–9 | -0.07 | 24% | 23 Apr → | |
| anubis | 13–11 | 0.01 | 13% | 23 Apr → | |
| anubis | 13–10 | -0.00 | 15% | 13 Apr → | |
| nuke | 7–13 | -0.00 | 27% | 11 Apr → | |
| anubis | 7–13 | -0.01 | 25% | 31 Mar → | |
| dust2 | 3–10 | -0.08 | 20% | 17 Mar → | |
| ancient | 8–13 | -0.01 | 23% | 16 Mar → | |
| anubis | 13–10 | 0.11 | 30% | 16 Mar → | |
| ancient | 6–13 | -0.09 | 39% | 14 Mar → | |
| ancient | 13–0 | 0.02 | 19% | 14 Mar → | |
| anubis | 13–10 | -0.04 | 17% | 14 Mar → | |
| ancient | 13–8 | -0.00 | 15% | 13 Mar → | |
| mirage | 13–4 | 0.09 | 30% | 13 Mar → | |
| inferno | 9–5 | 0.03 | 37% | 11 Mar → | |
| anubis | 6–13 | -0.09 | 15% | 10 Mar → | |
| mirage | 7–13 | -0.02 | 22% | 10 Mar → | |
| inferno | 17–19 | 0.02 | 26% | 10 Mar → | |
| nuke | 13–11 | 0.02 | 31% | 9 Mar → | |
| ancient | 13–7 | 0.05 | 21% | 8 Mar → | |
| inferno | 25–21 | 0.02 | 33% | 8 Mar → | |
| inferno | 13–3 | 0.03 | 18% | 8 Mar → | |
| ancient | 13–3 | 0.00 | 16% | 8 Mar → |
Match data via Leetify.