ez1k — CS2 Stats
76561199121061902[U:1:1160796174]✓ 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 | 60.5% | 44.1% | 47.2% | above |
| Shot accuracy | 4.8% | 11.4% | 12.7% | 8.0% short |
| Kill/death ratio | 1.62 | 1.03 | 1.09 | above |
| Match win rate | 55.6% | 45.2% | 46.6% | above |
This profile matches the typical Pink band player on 3 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.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 92% playstyle similarity
Most alike: positioning profile, aim profile.
Where you differ: lower utility contribution.
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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
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. 657ms 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 7.6/10 (Strong), 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 |
|---|---|---|---|---|---|
| C | 32 | 14–18 | 44% | 0.06 | |
| A | 22 | 13–9 | 59% | 0.04 | |
| S | 21 | 14–7 | 67% | 0.06 | |
| D | 9 | 2–7 | 22% | -0.01 | |
| office | C | 9 | 4–5 | 44% | 0.08 |
| — | 4 | 1–3 | 25% | 0.08 | |
| — | 3 | 2–1 | 67% | 0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.07 | 29% | 20 Jun → | ||
| 15–15 | 0.08 | 25% | 20 Jun → | ||
| 13–2 | 0.17 | 29% | 20 Jun → | ||
| 3–13 | -0.02 | 24% | 6 Jun → | ||
| 6–13 | 0.09 | 22% | 29 May → | ||
| 2–7 | 0.00 | 33% | 29 May → | ||
| 0–5 | -0.06 | 30% | 12 May → | ||
| 13–10 | 0.15 | 30% | 10 May → | ||
| 13–9 | -0.02 | 29% | 2 May → | ||
| 15–15 | 0.02 | 33% | 2 May → | ||
| 9–13 | -0.00 | 30% | 2 May → | ||
| 13–9 | 0.01 | 19% | 30 Apr → | ||
| 13–11 | 0.08 | 29% | 30 Apr → | ||
| 15–15 | 0.10 | 44% | 29 Apr → | ||
| 13–3 | 0.10 | 25% | 29 Apr → | ||
| 12–12 | 0.05 | 40% | 26 Apr → | ||
| 13–2 | 0.09 | 27% | 26 Apr → | ||
| 8–13 | 0.14 | 29% | 25 Apr → | ||
| 8–13 | -0.04 | 29% | 25 Apr → | ||
| 13–10 | 0.11 | 33% | 25 Apr → | ||
| 12–12 | 0.01 | 21% | 24 Apr → | ||
| 13–6 | 0.06 | 50% | 22 Apr → | ||
| 13–10 | 0.06 | 57% | 21 Apr → | ||
| 11–13 | 0.09 | 30% | 20 Apr → | ||
| 6–13 | 0.07 | 33% | 18 Apr → | ||
| 13–11 | 0.18 | 34% | 18 Apr → | ||
| 13–8 | 0.08 | 46% | 18 Apr → | ||
| 13–10 | -0.02 | 24% | 16 Apr → | ||
| 13–11 | -0.01 | 28% | 15 Apr → | ||
| 16–13 | 0.02 | 25% | 14 Apr → | ||
| 0–13 | -0.14 | 17% | 14 Apr → | ||
| 13–11 | 0.11 | 41% | 14 Apr → | ||
| 13–8 | 0.05 | 19% | 14 Apr → | ||
| 12–14 | 0.15 | 32% | 14 Apr → | ||
| 15–15 | 0.07 | 30% | 13 Apr → | ||
| 13–7 | 0.06 | 30% | 13 Apr → | ||
| 13–6 | 0.12 | 25% | 12 Apr → | ||
| 11–13 | 0.06 | 27% | 12 Apr → | ||
| 13–5 | -0.08 | 38% | 10 Apr → | ||
| 12–12 | 0.11 | 28% | 10 Apr → | ||
| 13–7 | 0.03 | 31% | 10 Apr → | ||
| 13–8 | 0.05 | 37% | 9 Apr → | ||
| 10–13 | 0.07 | 30% | 9 Apr → | ||
| 5–13 | -0.01 | 29% | 9 Apr → | ||
| 13–11 | 0.11 | 35% | 9 Apr → | ||
| 13–8 | -0.00 | 23% | 7 Apr → | ||
| 13–2 | 0.09 | 31% | 7 Apr → | ||
| 6–13 | -0.00 | 22% | 7 Apr → | ||
| 6–13 | 0.07 | 40% | 7 Apr → | ||
| 13–1 | 0.15 | 53% | 7 Apr → | ||
| 13–1 | 0.15 | 28% | 7 Apr → | ||
| 7–13 | -0.00 | 39% | 6 Apr → | ||
| 4–13 | -0.04 | 15% | 4 Apr → | ||
| 13–5 | 0.02 | 34% | 4 Apr → | ||
| office | 12–12 | 0.04 | 41% | 4 Apr → | |
| 13–0 | 0.08 | 24% | 3 Apr → | ||
| 13–10 | 0.09 | 29% | 3 Apr → | ||
| 13–9 | 0.11 | 21% | 2 Apr → | ||
| 7–13 | -0.04 | 24% | 2 Apr → | ||
| 7–13 | -0.05 | 18% | 2 Apr → | ||
| 13–6 | -0.02 | 38% | 1 Apr → | ||
| 8–13 | -0.05 | 38% | 31 Mar → | ||
| 0–3 | -0.02 | 0% | 31 Mar → | ||
| 13–2 | 0.07 | 18% | 29 Mar → | ||
| office | 13–5 | 0.07 | 32% | 29 Mar → | |
| 11–13 | 0.04 | 53% | 28 Mar → | ||
| 12–12 | 0.13 | 39% | 28 Mar → | ||
| 13–6 | 0.12 | 26% | 28 Mar → | ||
| office | 11–13 | 0.09 | 46% | 28 Mar → | |
| 13–8 | 0.04 | 34% | 27 Mar → | ||
| 8–13 | 0.12 | 22% | 26 Mar → | ||
| 13–0 | 0.10 | 27% | 26 Mar → | ||
| 13–2 | 0.07 | 25% | 25 Mar → | ||
| 9–3 | 0.11 | 41% | 25 Mar → | ||
| 7–13 | -0.01 | 33% | 24 Mar → | ||
| 1–9 | -0.14 | 30% | 21 Mar → | ||
| 7–9 | -0.02 | 38% | 21 Mar → | ||
| 13–4 | 0.05 | 41% | 21 Mar → | ||
| 5–13 | -0.00 | 40% | 20 Mar → | ||
| office | 13–5 | 0.03 | 45% | 20 Mar → | |
| office | 13–4 | 0.20 | 29% | 17 Mar → | |
| 8–3 | 0.07 | 22% | 17 Mar → | ||
| 13–7 | 0.07 | 41% | 17 Mar → | ||
| 11–13 | 0.05 | 28% | 15 Mar → | ||
| 6–13 | -0.01 | 35% | 15 Mar → | ||
| 13–2 | 0.06 | 53% | 14 Mar → | ||
| 10–13 | 0.07 | 33% | 14 Mar → | ||
| office | 10–13 | 0.02 | 34% | 10 Mar → | |
| 9–13 | 0.02 | 29% | 10 Mar → | ||
| 10–0 | 0.06 | 28% | 10 Mar → | ||
| office | 12–12 | 0.02 | 32% | 6 Mar → | |
| office | 11–13 | 0.15 | 28% | 5 Mar → | |
| 8–13 | 0.07 | 19% | 3 Mar → | ||
| office | 13–9 | 0.06 | 29% | 3 Mar → | |
| 11–13 | 0.02 | 40% | 20 Feb → | ||
| 7–13 | -0.03 | 25% | 14 Feb → | ||
| 13–5 | 0.13 | 30% | 12 Feb → | ||
| 11–13 | 0.02 | 33% | 11 Feb → | ||
| 8–8 | 0.04 | 16% | 11 Feb → | ||
| 13–3 | 0.15 | 42% | 7 Feb → |
Match data via Leetify.