Zexy — CS2 Stats
US76561199121865074[U:1:1161599346]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=7,746), 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 | 41.6% | 44.2% | 47.1% | 5.5% short |
| Shot accuracy | 20.8% | 11.7% | 12.8% | above |
| Kill/death ratio | 1.31 | 1.03 | 1.08 | above |
| Match win rate | 32.7% | 45.2% | 46.7% | 14.0% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Match win 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: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 sh1ro 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
Reaction time. 629ms 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 5.8/10 (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 79 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 | 24 | 13–11 | 54% | 0.03 |
 dust2 | C | 17 | 7–10 | 41% | 0.00 |
 inferno | B | 13 | 7–6 | 54% | 0.03 |
 nuke | B | 11 | 5–6 | 45% | 0.02 |
 ancient | S | 5 | 4–1 | 80% | 0.02 |
 cache | — | 4 | 2–2 | 50% | 0.04 |
 train | — | 3 | 0–3 | 0% | 0.02 |
 overpass | — | 2 | 1–1 | 50% | 0.00 |
Across the last 79 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). 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.
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 38.7176% — 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.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 6–5 | -0.01 | 35% | 2 Jan → | |
| mirage | 13–5 | 0.10 | 16% | 23 Dec → | |
| overpass | 13–10 | -0.03 | 21% | 23 Dec → | |
| ancient | 12–16 | -0.02 | 18% | 23 Dec → | |
| nuke | 15–15 | 0.01 | 23% | 23 Dec → | |
| nuke | 13–7 | 0.07 | 37% | 23 Dec → | |
| mirage | 13–7 | -0.00 | 14% | 23 Dec → | |
| dust2 | 13–5 | 0.10 | 20% | 23 Dec → | |
| train | 7–10 | 0.12 | 26% | 22 Dec → | |
| ancient | 16–12 | 0.04 | 25% | 22 Dec → | |
| mirage | 13–1 | 0.15 | 24% | 22 Dec → | |
| nuke | 1–8 | 0.09 | 24% | 22 Dec → | |
| mirage | 13–5 | 0.07 | 47% | 22 Dec → | |
| mirage | 13–11 | 0.09 | 24% | 20 Dec → | |
| overpass | 8–13 | 0.03 | 24% | 20 Dec → | |
| dust2 | 3–10 | -0.03 | 16% | 20 Dec → | |
| mirage | 13–9 | 0.08 | 28% | 19 Dec → | |
| inferno | 1–10 | 0.02 | 33% | 19 Dec → | |
| mirage | 7–13 | -0.03 | 28% | 18 Dec → | |
| mirage | 0–5 | -0.03 | 20% | 1 Mar → | |
| inferno | 11–13 | 0.03 | 16% | 28 Feb → | |
| train | 5–13 | -0.02 | 25% | 28 Feb → | |
| mirage | 13–3 | 0.20 | 34% | 28 Feb → | |
| mirage | 6–13 | -0.03 | 15% | 28 Feb → | |
| inferno | 9–1 | 0.07 | 30% | 28 Feb → | |
| mirage | 9–13 | 0.04 | 30% | 28 Feb → | |
| mirage | 2–13 | -0.04 | 6% | 28 Feb → | |
| nuke | 13–4 | 0.09 | 28% | 28 Feb → | |
| nuke | 13–11 | -0.01 | 20% | 25 Feb → | |
| ancient | 13–6 | -0.03 | 26% | 24 Feb → | |
| dust2 | 13–11 | -0.02 | 25% | 24 Feb → | |
| mirage | 13–4 | 0.07 | 29% | 24 Feb → | |
| nuke | 14–16 | 0.00 | 20% | 24 Feb → | |
| inferno | 12–16 | 0.06 | 22% | 24 Feb → | |
| mirage | 10–3 | -0.03 | 44% | 24 Feb → | |
| inferno | 9–4 | -0.02 | 21% | 24 Feb → | |
| nuke | 10–13 | 0.00 | 26% | 22 Feb → | |
| mirage | 5–12 | -0.01 | 23% | 21 Feb → | |
| dust2 | 4–13 | 0.00 | 23% | 21 Feb → | |
| dust2 | 4–13 | 0.00 | 25% | 21 Feb → | |
| mirage | 7–13 | -0.00 | 14% | 20 Feb → | |
| dust2 | 13–10 | 0.04 | 30% | 19 Feb → | |
| mirage | 4–13 | -0.05 | 20% | 19 Feb → | |
| nuke | 13–10 | 0.04 | 38% | 19 Feb → | |
| mirage | 13–7 | 0.05 | 21% | 19 Feb → | |
| train | 4–8 | -0.04 | 50% | 18 Feb → | |
| ancient | 13–4 | 0.09 | 23% | 18 Feb → | |
| mirage | 12–16 | 0.03 | 15% | 18 Feb → | |
| mirage | 13–1 | 0.16 | 26% | 1 Mar → | |
| inferno | 13–9 | 0.06 | 11% | 7 Jan → | |
| dust2 | 10–13 | -0.03 | 32% | 7 Jan → | |
| inferno | 6–8 | 0.06 | 16% | 24 Jul → | |
| nuke | 7–9 | -0.01 | 21% | 6 Mar → | |
| nuke | 9–6 | -0.02 | 10% | 15 Jan → | |
| inferno | 5–9 | -0.01 | 26% | 13 Jan → | |
| dust2 | 5–9 | 0.04 | 20% | 13 Jan → | |
| mirage | 9–1 | 0.06 | 5% | 8 Jan → | |
| cache | 9–4 | 0.09 | 27% | 8 Jan → | |
| mirage | 8–8 | 0.02 | 16% | 7 Jan → | |
| cache | 9–7 | 0.06 | 12% | 26 Dec → | |
| cache | 5–9 | 0.00 | 16% | 5 Dec → | |
| mirage | 8–8 | -0.04 | 23% | 5 Dec → | |
| mirage | 9–7 | 0.00 | 9% | 5 Dec → | |
| dust2 | 6–9 | -0.01 | 11% | 5 Dec → | |
| inferno | 9–3 | 0.06 | 11% | 5 Dec → | |
| dust2 | 6–9 | -0.04 | 5% | 5 Dec → | |
| dust2 | 9–7 | 0.06 | 30% | 4 Dec → | |
| dust2 | 5–9 | -0.03 | 21% | 4 Dec → | |
| dust2 | 9–2 | 0.02 | 17% | 4 Dec → | |
| inferno | 9–2 | -0.02 | 0% | 1 Dec → | |
| inferno | 9–5 | 0.04 | 11% | 4 Nov → | |
| dust2 | 2–16 | 0.02 | 8% | 13 Oct → | |
| dust2 | 1–16 | -0.03 | 4% | 13 Oct → | |
| dust2 | 16–7 | -0.01 | 14% | 25 Sept → | |
| inferno | 16–3 | 0.00 | 6% | 11 Jul → | |
| ancient | 4–0 | 0.00 | 0% | 11 Jul → | |
| inferno | 13–16 | 0.00 | 22% | 2 Jul → | |
| cache | 4–16 | 0.00 | 8% | 25 May → | |
| dust2 | 16–7 | 0.00 | 9% | 21 May → |
Match data via Leetify.
