piskindomik — CS2 Stats
76561198789562042[U:1:829296314]
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 | 59.2% | 48.1% | above |
| Shot accuracy | 0.1% | 12.9% | 12.7% short |
| Kill/death ratio | 0.84 | 1.08 | 0.24 short |
| Match win rate | 58.6% | 46.5% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -40pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 ropz 92% playstyle similarity
Most alike: utility contribution, 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 5.8/10 (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 |
|---|---|---|---|---|---|
 mirage | S | 18 | 13–5 | 72% | 0.03 |
 ancient | C | 16 | 6–10 | 38% | 0.03 |
 cache | S | 14 | 12–2 | 86% | 0.02 |
| office | B | 12 | 6–6 | 50% | 0.03 |
 dust2 | S | 11 | 9–2 | 82% | 0.05 |
 nuke | B | 10 | 5–5 | 50% | 0.03 |
 inferno | S | 7 | 5–2 | 71% | 0.05 |
 anubis | C | 5 | 2–3 | 40% | 0.01 |
 train | — | 3 | 2–1 | 67% | 0.08 |
 overpass | — | 2 | 2–0 | 100% | 0.06 |
 vertigo | — | 2 | 2–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient 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.
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.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–8 | 0.09 | 22% | 27 Aug → | |
| ancient | 5–13 | -0.05 | 27% | 25 Aug → | |
| inferno | 8–8 | 0.07 | 30% | 23 Aug → | |
| train | 5–13 | 0.09 | 27% | 23 Aug → | |
| ancient | 2–13 | 0.04 | 30% | 23 Aug → | |
| dust2 | 4–13 | 0.02 | 15% | 23 Aug → | |
| office | 8–13 | 0.07 | 20% | 23 Aug → | |
| office | 11–13 | 0.06 | 29% | 22 Aug → | |
| mirage | 6–0 | 0.15 | 13% | 22 Aug → | |
| ancient | 6–13 | 0.01 | 16% | 20 Aug → | |
| ancient | 8–13 | 0.14 | 31% | 20 Aug → | |
| ancient | 13–3 | 0.07 | 15% | 20 Aug → | |
| ancient | 9–13 | -0.04 | 20% | 20 Aug → | |
| cache | 13–7 | -0.03 | 21% | 20 Aug → | |
| inferno | 9–4 | 0.04 | 13% | 19 Aug → | |
| mirage | 8–13 | -0.05 | 31% | 19 Aug → | |
| mirage | 13–9 | -0.00 | 25% | 19 Aug → | |
| mirage | 6–13 | -0.01 | 29% | 15 Aug → | |
| office | 13–8 | 0.02 | 7% | 15 Aug → | |
| cache | 13–1 | 0.07 | 21% | 15 Aug → | |
| mirage | 13–2 | 0.13 | 32% | 14 Aug → | |
| anubis | 11–13 | -0.04 | 20% | 13 Aug → | |
| cache | 13–8 | 0.05 | 20% | 13 Aug → | |
| overpass | 13–4 | 0.06 | 14% | 13 Aug → | |
| inferno | 6–2 | 0.03 | 60% | 13 Aug → | |
| inferno | 3–9 | -0.13 | 20% | 12 Aug → | |
| ancient | 7–13 | -0.04 | 31% | 12 Aug → | |
| ancient | 2–13 | -0.06 | 0% | 12 Aug → | |
| cache | 13–3 | -0.01 | 16% | 11 Aug → | |
| nuke | 9–13 | 0.13 | 41% | 11 Aug → | |
| anubis | 11–13 | -0.03 | 16% | 11 Aug → | |
| office | 9–13 | -0.05 | 17% | 9 Aug → | |
| dust2 | 13–1 | 0.08 | 21% | 9 Aug → | |
| dust2 | 5–13 | -0.03 | 11% | 7 Aug → | |
| mirage | 13–11 | -0.01 | 28% | 7 Aug → | |
| office | 0–13 | 0.02 | 25% | 7 Aug → | |
| dust2 | 13–10 | 0.08 | 25% | 6 Aug → | |
| mirage | 13–3 | 0.05 | 15% | 6 Aug → | |
| mirage | 13–5 | 0.17 | 44% | 6 Aug → | |
| office | 11–13 | -0.01 | 28% | 6 Aug → | |
| mirage | 5–13 | -0.08 | 20% | 1 Aug → | |
| office | 13–8 | 0.05 | 37% | 29 Jul → | |
| mirage | 13–8 | -0.02 | 29% | 29 Jul → | |
| mirage | 13–7 | 0.02 | 21% | 28 Jul → | |
| cache | 16–14 | -0.01 | 15% | 28 Jul → | |
| nuke | 13–4 | 0.02 | 16% | 28 Jul → | |
| ancient | 13–6 | 0.07 | 23% | 28 Jul → | |
| ancient | 4–13 | -0.04 | 15% | 28 Jul → | |
| dust2 | 13–10 | 0.04 | 16% | 28 Jul → | |
| cache | 16–12 | 0.09 | 25% | 28 Jul → | |
| mirage | 13–4 | 0.04 | 31% | 28 Jul → | |
| dust2 | 13–10 | 0.00 | 21% | 22 Jul → | |
| dust2 | 13–4 | 0.15 | 16% | 22 Jul → | |
| mirage | 13–6 | 0.00 | 29% | 22 Jul → | |
| office | 13–3 | 0.09 | 24% | 21 Jul → | |
| office | 13–2 | -0.02 | 14% | 21 Jul → | |
| ancient | 3–13 | -0.02 | 17% | 20 Jul → | |
| mirage | 14–16 | 0.04 | 25% | 20 Jul → | |
| mirage | 13–2 | 0.02 | 20% | 20 Jul → | |
| inferno | 13–8 | 0.13 | 31% | 20 Jul → | |
| ancient | 13–0 | 0.12 | 16% | 20 Jul → | |
| nuke | 13–7 | 0.02 | 32% | 19 Jul → | |
| cache | 11–13 | 0.01 | 24% | 19 Jul → | |
| ancient | 13–4 | 0.09 | 14% | 19 Jul → | |
| nuke | 13–4 | 0.16 | 23% | 19 Jul → | |
| dust2 | 13–5 | 0.12 | 20% | 19 Jul → | |
| dust2 | 13–9 | 0.12 | 28% | 19 Jul → | |
| mirage | 8–13 | -0.02 | 30% | 19 Jul → | |
| office | 5–13 | 0.05 | 22% | 17 Jul → | |
| vertigo | 13–9 | 0.02 | 19% | 17 Jul → | |
| train | 13–4 | 0.07 | 20% | 17 Jul → | |
| inferno | 8–2 | 0.04 | 28% | 16 Jul → | |
| anubis | 13–6 | 0.10 | 33% | 16 Jul → | |
| ancient | 13–2 | 0.15 | 31% | 16 Jul → | |
| nuke | 10–13 | 0.06 | 12% | 16 Jul → | |
| anubis | 9–13 | -0.03 | 17% | 15 Jul → | |
| nuke | 13–3 | 0.07 | 25% | 15 Jul → | |
| office | 10–2 | 0.01 | 29% | 15 Jul → | |
| mirage | 13–8 | 0.05 | 26% | 12 Jul → | |
| nuke | 11–13 | -0.00 | 20% | 12 Jul → | |
| ancient | 6–13 | 0.03 | 27% | 12 Jul → | |
| cache | 13–10 | 0.06 | 22% | 12 Jul → | |
| dust2 | 13–11 | -0.02 | 13% | 11 Jul → | |
| office | 13–8 | 0.05 | 20% | 10 Jul → | |
| nuke | 6–13 | 0.08 | 32% | 10 Jul → | |
| cache | 13–8 | 0.08 | 22% | 8 Jul → | |
| cache | 13–7 | 0.05 | 12% | 8 Jul → | |
| ancient | 13–8 | 0.08 | 20% | 7 Jul → | |
| cache | 12–12 | -0.02 | 31% | 7 Jul → | |
| vertigo | 13–7 | 0.20 | 24% | 6 Jul → | |
| overpass | 13–4 | 0.07 | 18% | 6 Jul → | |
| train | 13–2 | 0.06 | 16% | 6 Jul → | |
| nuke | 13–10 | 0.00 | 17% | 6 Jul → | |
| anubis | 13–9 | 0.04 | 13% | 6 Jul → | |
| inferno | 13–4 | 0.13 | 21% | 6 Jul → | |
| cache | 13–6 | -0.07 | 14% | 6 Jul → | |
| cache | 13–5 | -0.03 | 18% | 6 Jul → | |
| nuke | 0–9 | -0.23 | 100% | 5 Jul → | |
| mirage | 9–3 | 0.07 | 30% | 5 Jul → | |
| dust2 | 13–6 | -0.04 | 24% | 5 Jul → |
Match data via Leetify.