Gamma Kat — CS2 Stats
76561198140328751[U:1:180063023]✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 64.8% | 44.1% | 47.2% | above |
| Shot accuracy | 0.6% | 11.4% | 12.7% | 12.1% short |
| Kill/death ratio | 1.68 | 1.03 | 1.09 | above |
| Match win rate | 41.3% | 45.2% | 46.6% | 5.4% short |
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: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 86% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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.
Reaction time. 594ms 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 5.9/10 (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 | B | 14 | 7–7 | 50% | -0.01 |
 cache | A | 13 | 8–5 | 62% | 0.02 |
 nuke | S | 13 | 11–2 | 85% | 0.02 |
 anubis | C | 11 | 4–7 | 36% | 0.02 |
 dust2 | A | 8 | 5–3 | 63% | 0.03 |
 ancient | S | 7 | 6–1 | 86% | 0.02 |
| office | B | 6 | 3–3 | 50% | 0.01 |
 overpass | S | 6 | 5–1 | 83% | 0.03 |
 vertigo | D | 5 | 1–4 | 20% | 0.02 |
| shelter | A | 5 | 3–2 | 60% | 0.06 |
 train | — | 4 | 3–1 | 75% | 0.05 |
| boulder | — | 3 | 2–1 | 67% | 0.02 |
 inferno | — | 2 | 1–1 | 50% | 0.00 |
| fachwerk | — | 2 | 2–0 | 100% | 0.00 |
| italy | — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo 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 |
|---|---|---|---|---|
| Mirage | 1 | 100% | 1.00 | 17.0 |
| Inferno | 1 | 100% | 1.00 | 11.0 |
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
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 35.7075% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–8 | -0.05 | 17% | 28 Aug → | |
| ancient | 6–4 | 0.09 | 32% | 28 Aug → | |
| office | 12–12 | -0.05 | 17% | 27 Aug → | |
| cache | 13–11 | -0.07 | 29% | 26 Aug → | |
| inferno | 13–9 | 0.02 | 24% | 26 Aug → | |
| dust2 | 15–15 | -0.02 | 18% | 26 Aug → | |
| nuke | 13–7 | -0.06 | 19% | 25 Aug → | |
| cache | 11–13 | 0.06 | 21% | 25 Aug → | |
| train | 4–13 | 0.07 | 43% | 24 Aug → | |
| anubis | 9–13 | 0.01 | 31% | 24 Aug → | |
| boulder | 8–13 | 0.03 | 20% | 24 Aug → | |
| dust2 | 13–4 | 0.04 | 20% | 23 Aug → | |
| ancient | 13–5 | -0.02 | 26% | 23 Aug → | |
| nuke | 13–4 | 0.07 | 18% | 23 Aug → | |
| boulder | 13–5 | -0.01 | 28% | 22 Aug → | |
| fachwerk | 13–6 | -0.03 | 28% | 22 Aug → | |
| vertigo | 10–13 | 0.01 | 10% | 22 Aug → | |
| nuke | 13–4 | -0.10 | 0% | 20 Aug → | |
| train | 13–9 | 0.01 | 22% | 13 Aug → | |
| anubis | 2–13 | -0.08 | 9% | 8 Aug → | |
| dust2 | 4–13 | 0.01 | 16% | 8 Aug → | |
| anubis | 13–6 | 0.02 | 18% | 8 Aug → | |
| cache | 10–13 | -0.02 | 37% | 1 Aug → | |
| ancient | 13–6 | 0.03 | 20% | 1 Aug → | |
| boulder | 13–5 | 0.03 | 24% | 26 Jul → | |
| shelter | 13–10 | 0.09 | 18% | 26 Jul → | |
| mirage | 7–13 | 0.03 | 26% | 25 Jul → | |
| vertigo | 13–9 | 0.11 | 28% | 25 Jul → | |
| ancient | 7–13 | 0.03 | 19% | 20 Jul → | |
| fachwerk | 13–5 | 0.03 | 17% | 19 Jul → | |
| overpass | 13–6 | 0.11 | 18% | 19 Jul → | |
| shelter | 8–13 | 0.03 | 32% | 19 Jul → | |
| cache | 11–13 | -0.04 | 18% | 18 Jul → | |
| nuke | 13–8 | 0.09 | 20% | 18 Jul → | |
| mirage | 13–10 | 0.00 | 21% | 18 Jul → | |
| cache | 13–10 | 0.01 | 19% | 18 Jul → | |
| mirage | 10–13 | 0.04 | 13% | 18 Jul → | |
| nuke | 0–8 | 0.02 | 32% | 18 Jul → | |
| dust2 | 13–2 | 0.07 | 18% | 18 Jul → | |
| shelter | 13–4 | 0.05 | 15% | 18 Jul → | |
| anubis | 7–13 | -0.02 | 19% | 11 Jul → | |
| cache | 13–5 | 0.06 | 19% | 10 Jul → | |
| shelter | 11–3 | 0.14 | 26% | 10 Jul → | |
| mirage | 13–3 | 0.02 | 21% | 10 Jul → | |
| dust2 | 13–9 | 0.05 | 15% | 10 Jul → | |
| mirage | 9–13 | 0.02 | 15% | 9 Jul → | |
| office | 10–2 | -0.02 | 19% | 9 Jul → | |
| office | 13–7 | 0.03 | 26% | 9 Jul → | |
| shelter | 2–9 | -0.03 | 7% | 9 Jul → | |
| overpass | 13–8 | 0.04 | 19% | 6 Jul → | |
| nuke | 13–6 | 0.05 | 28% | 6 Jul → | |
| ancient | 13–10 | -0.02 | 17% | 5 Jul → | |
| ancient | 7–1 | 0.05 | 38% | 5 Jul → | |
| nuke | 13–10 | 0.04 | 17% | 5 Jul → | |
| anubis | 12–12 | 0.06 | 20% | 28 Jun → | |
| cache | 13–10 | 0.09 | 17% | 28 Jun → | |
| overpass | 16–12 | 0.06 | 27% | 22 Jun → | |
| office | 8–13 | -0.05 | 28% | 21 Jun → | |
| italy | 13–4 | -0.03 | 19% | 21 Jun → | |
| cache | 13–8 | 0.07 | 41% | 21 Jun → | |
| vertigo | 3–13 | -0.01 | 21% | 20 Jun → | |
| anubis | 10–13 | 0.08 | 29% | 17 Jun → | |
| mirage | 13–2 | 0.01 | 28% | 17 Jun → | |
| dust2 | 13–10 | -0.02 | 18% | 16 Jun → | |
| overpass | 13–5 | -0.03 | 21% | 16 Jun → | |
| nuke | 15–15 | -0.06 | 23% | 16 Jun → | |
| mirage | 13–5 | 0.01 | 15% | 15 Jun → | |
| overpass | 7–13 | -0.11 | 14% | 15 Jun → | |
| anubis | 8–13 | -0.02 | 19% | 13 Jun → | |
| nuke | 13–8 | 0.04 | 25% | 13 Jun → | |
| inferno | 13–16 | -0.01 | 16% | 13 Jun → | |
| anubis | 13–9 | 0.04 | 20% | 13 Jun → | |
| cache | 12–12 | -0.07 | 16% | 12 Jun → | |
| mirage | 13–10 | -0.00 | 16% | 11 Jun → | |
| dust2 | 6–13 | 0.07 | 28% | 11 Jun → | |
| anubis | 13–8 | 0.05 | 27% | 11 Jun → | |
| mirage | 6–13 | -0.03 | 17% | 8 Jun → | |
| nuke | 13–11 | -0.02 | 10% | 8 Jun → | |
| dust2 | 13–10 | 0.03 | 19% | 7 Jun → | |
| train | 13–6 | 0.10 | 29% | 7 Jun → | |
| office | 6–13 | 0.10 | 15% | 7 Jun → | |
| vertigo | 9–13 | 0.01 | 15% | 7 Jun → | |
| mirage | 5–13 | -0.05 | 14% | 7 Jun → | |
| overpass | 13–7 | 0.12 | 22% | 7 Jun → | |
| cache | 13–9 | 0.00 | 17% | 7 Jun → | |
| cache | 10–13 | -0.02 | 38% | 7 Jun → | |
| vertigo | 9–13 | -0.01 | 16% | 7 Jun → | |
| cache | 13–2 | 0.07 | 16% | 7 Jun → | |
| cache | 13–8 | 0.08 | 32% | 6 Jun → | |
| mirage | 13–11 | 0.03 | 19% | 6 Jun → | |
| anubis | 13–11 | -0.01 | 26% | 6 Jun → | |
| nuke | 16–14 | -0.01 | 21% | 3 Jun → | |
| mirage | 13–6 | 0.02 | 17% | 3 Jun → | |
| anubis | 6–13 | 0.03 | 21% | 2 Jun → | |
| mirage | 14–16 | -0.11 | 7% | 19 May → | |
| mirage | 4–13 | -0.06 | 21% | 19 May → | |
| nuke | 13–8 | 0.12 | 19% | 18 May → | |
| nuke | 13–4 | 0.05 | 29% | 17 May → | |
| train | 13–11 | 0.01 | 40% | 17 May → | |
| office | 13–7 | 0.06 | 28% | 17 May → |
Match data via Leetify.
