&Z.PZ — CS2 Stats
ES76561199757455675[U:1:1797189947]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Light Blue band among CSDB-tracked players (n=404), 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 | Light Blue band median | Blue band median | vs Blue band |
|---|---|---|---|---|
| Headshot rate | 39.6% | 40.1% | 41.7% | 2.0% short |
| Shot accuracy | 0.0% | 7.6% | 8.8% | 8.8% short |
| Kill/death ratio | 0.81 | 0.92 | 0.97 | 0.16 short |
| Match win rate | 42.2% | 42.2% | 43.8% | 1.6% short |
This profile sits below the typical Blue band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Blue 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: +10pp win rate · +0.02 avg rating
Player DNA
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 84% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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. 666ms 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 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| S | 22 | 15–7 | 68% | -0.00 | |
| A | 19 | 11–8 | 58% | 0.00 | |
| B | 16 | 8–8 | 50% | -0.01 | |
| C | 15 | 6–9 | 40% | -0.00 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis 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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4923° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.8013% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.459 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.04 | 23% | 18 Apr → | ||
| 5–13 | -0.05 | 14% | 17 Apr → | ||
| 13–5 | 0.02 | 4% | 17 Apr → | ||
| 10–13 | 0.02 | 10% | 10 Apr → | ||
| 13–5 | 0.07 | 13% | 10 Apr → | ||
| 10–13 | -0.07 | 3% | 10 Apr → | ||
| 13–1 | 0.11 | 16% | 26 Mar → | ||
| 16–12 | 0.01 | 6% | 26 Mar → | ||
| 11–13 | 0.01 | 10% | 24 Mar → | ||
| 13–5 | -0.05 | 11% | 24 Mar → | ||
| 11–13 | -0.06 | 20% | 15 Mar → | ||
| 7–13 | -0.06 | 8% | 12 Mar → | ||
| 13–7 | 0.06 | 10% | 12 Mar → | ||
| 9–13 | 0.04 | 9% | 7 Mar → | ||
| 1–13 | -0.08 | 4% | 7 Mar → | ||
| 16–14 | 0.03 | 10% | 6 Mar → | ||
| 13–10 | -0.08 | 12% | 6 Mar → | ||
| 3–13 | -0.07 | 3% | 26 Feb → | ||
| 13–8 | 0.06 | 7% | 26 Feb → | ||
| 13–4 | 0.07 | 11% | 26 Feb → | ||
| 15–15 | 0.05 | 13% | 22 Feb → | ||
| 13–6 | 0.16 | 9% | 22 Feb → | ||
| 10–13 | -0.02 | 23% | 22 Feb → | ||
| 13–1 | 0.08 | 10% | 22 Feb → | ||
| 13–8 | -0.06 | 11% | 21 Feb → | ||
| 13–7 | -0.04 | 11% | 21 Feb → | ||
| 10–13 | 0.01 | 6% | 20 Feb → | ||
| 4–13 | -0.01 | 15% | 19 Feb → | ||
| 14–16 | -0.00 | 11% | 19 Feb → | ||
| 13–10 | -0.05 | 13% | 18 Feb → | ||
| 11–13 | -0.01 | 20% | 18 Feb → | ||
| 10–13 | 0.02 | 16% | 17 Feb → | ||
| 13–8 | 0.01 | 18% | 17 Feb → | ||
| 13–9 | -0.01 | 13% | 16 Feb → | ||
| 8–13 | -0.03 | 8% | 15 Feb → | ||
| 12–16 | -0.08 | 10% | 13 Feb → | ||
| 13–9 | -0.00 | 9% | 13 Feb → | ||
| 13–11 | -0.00 | 10% | 12 Feb → | ||
| 13–8 | 0.12 | 10% | 12 Feb → | ||
| 13–11 | 0.01 | 11% | 12 Feb → | ||
| 11–13 | -0.03 | 15% | 12 Feb → | ||
| 13–16 | -0.00 | 22% | 11 Feb → | ||
| 13–4 | 0.00 | 4% | 11 Feb → | ||
| 13–5 | -0.01 | 11% | 11 Feb → | ||
| 11–13 | -0.04 | 17% | 10 Feb → | ||
| 2–9 | 0.01 | 18% | 10 Feb → | ||
| 4–13 | -0.06 | 13% | 10 Feb → | ||
| 13–10 | 0.01 | 13% | 9 Feb → | ||
| 8–13 | -0.03 | 14% | 9 Feb → | ||
| 13–8 | 0.02 | 26% | 7 Feb → | ||
| 7–13 | -0.01 | 11% | 7 Feb → | ||
| 9–13 | -0.04 | 23% | 7 Feb → | ||
| 12–16 | 0.02 | 11% | 5 Feb → | ||
| 4–13 | -0.04 | 12% | 31 Jan → | ||
| 13–6 | -0.00 | 5% | 30 Jan → | ||
| 9–13 | 0.02 | 25% | 29 Jan → | ||
| 3–13 | -0.02 | 0% | 27 Jan → | ||
| 8–13 | -0.03 | 11% | 17 Jan → | ||
| 13–3 | 0.02 | 15% | 17 Jan → | ||
| 13–5 | 0.00 | 12% | 17 Jan → | ||
| 13–5 | -0.03 | 6% | 16 Jan → | ||
| 13–16 | 0.02 | 17% | 10 Jan → | ||
| 13–3 | 0.03 | 15% | 7 Jan → | ||
| 10–13 | -0.02 | 0% | 7 Jan → | ||
| 7–13 | -0.02 | 19% | 3 Jan → | ||
| 13–6 | 0.02 | 20% | 3 Jan → | ||
| 9–13 | -0.04 | 21% | 17 Dec → | ||
| 4–13 | 0.03 | 19% | 17 Dec → | ||
| 1–13 | -0.09 | 12% | 2 Dec → | ||
| 13–3 | 0.04 | 15% | 2 Dec → | ||
| 13–5 | 0.06 | 23% | 30 Nov → | ||
| 13–10 | -0.02 | 12% | 30 Nov → | ||
| 13–4 | 0.00 | 26% | 30 Nov → | ||
| 13–6 | 0.01 | 10% | 29 Nov → | ||
| 16–14 | -0.04 | 14% | 29 Nov → | ||
| 13–5 | 0.06 | 11% | 29 Nov → | ||
| 13–10 | -0.01 | 13% | 28 Nov → | ||
| 11–13 | 0.05 | 10% | 28 Nov → | ||
| 13–11 | -0.02 | 12% | 27 Nov → | ||
| 6–13 | -0.05 | 15% | 27 Nov → | ||
| 6–13 | -0.01 | 15% | 22 Nov → | ||
| 13–9 | 0.05 | 16% | 22 Nov → | ||
| 13–11 | 0.01 | 21% | 22 Nov → | ||
| 7–13 | -0.03 | 13% | 22 Nov → | ||
| 6–13 | -0.00 | 7% | 20 Nov → | ||
| 12–16 | 0.06 | 18% | 20 Nov → | ||
| 13–8 | 0.02 | 12% | 15 Nov → | ||
| 1–13 | -0.12 | 23% | 15 Nov → | ||
| 11–13 | -0.01 | 10% | 14 Nov → | ||
| 13–9 | -0.00 | 18% | 14 Nov → | ||
| 13–11 | -0.01 | 6% | 14 Nov → | ||
| 13–2 | 0.02 | 0% | 5 Nov → | ||
| 13–6 | -0.01 | 11% | 5 Nov → | ||
| 16–12 | -0.04 | 10% | 24 Oct → | ||
| 13–7 | 0.08 | 20% | 19 Oct → | ||
| 8–13 | -0.08 | 6% | 19 Oct → | ||
| 6–13 | -0.09 | 8% | 18 Oct → | ||
| 13–5 | 0.03 | 3% | 18 Oct → | ||
| 13–9 | -0.01 | 13% | 17 Oct → | ||
| 13–11 | -0.00 | 18% | 15 Oct → |
Match data via Leetify.