trayprey — CS2 Stats
US76561198383968570[U:1:423702842]Steam profile ↗
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 | 42.6% | 48.1% | 5.5% short |
| Shot accuracy | 3.0% | 12.9% | 9.9% short |
| Kill/death ratio | 0.96 | 1.08 | 0.12 short |
| Match win rate | 41.3% | 46.5% | 5.1% short |
This profile sits below the typical Pink band player on every metric we can compare.
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: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive 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 NiKo 77% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower opening-fight frequency; 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
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. 673ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
 anubis | C | 18 | 7–11 | 39% | -0.01 |
 dust2 | A | 14 | 8–6 | 57% | -0.01 |
 mirage | A | 14 | 8–6 | 57% | -0.02 |
 nuke | D | 12 | 4–8 | 33% | -0.01 |
 train | A | 9 | 5–4 | 56% | -0.03 |
 cache | A | 9 | 5–4 | 56% | -0.03 |
 inferno | S | 7 | 5–2 | 71% | -0.00 |
 vertigo | B | 6 | 3–3 | 50% | 0.00 |
| office | C | 5 | 2–3 | 40% | 0.02 |
 ancient | — | 4 | 3–1 | 75% | -0.03 |
 overpass | — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). 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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- 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 0.4487 — below the 0.5 mark we flag
- 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 16.6665% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–5 | 0.09 | 17% | 16 Aug → | |
| train | 13–11 | 0.03 | 11% | 14 Aug → | |
| train | 12–12 | -0.02 | 11% | 14 Aug → | |
| train | 4–13 | -0.10 | 18% | 14 Aug → | |
| dust2 | 3–13 | 0.01 | 8% | 2 Aug → | |
| mirage | 5–13 | -0.08 | 19% | 2 Aug → | |
| nuke | 5–13 | -0.09 | 23% | 2 Aug → | |
| inferno | 13–6 | 0.05 | 10% | 1 Aug → | |
| vertigo | 13–7 | 0.03 | 17% | 31 Jul → | |
| vertigo | 9–13 | -0.05 | 17% | 31 Jul → | |
| inferno | 13–10 | -0.02 | 20% | 26 Jul → | |
| anubis | 13–5 | 0.03 | 22% | 26 Jul → | |
| dust2 | 8–13 | -0.03 | 16% | 26 Jul → | |
| inferno | 10–13 | -0.01 | 19% | 26 Jul → | |
| dust2 | 11–13 | -0.05 | 15% | 26 Jul → | |
| nuke | 6–13 | -0.07 | 16% | 26 Jul → | |
| anubis | 13–4 | 0.02 | 26% | 25 Jul → | |
| anubis | 7–13 | -0.08 | 23% | 25 Jul → | |
| anubis | 1–13 | 0.01 | 9% | 25 Jul → | |
| anubis | 5–13 | -0.05 | 17% | 25 Jul → | |
| anubis | 13–8 | -0.10 | 11% | 19 Jul → | |
| cache | 13–4 | -0.03 | 20% | 19 Jul → | |
| nuke | 9–13 | 0.02 | 15% | 19 Jul → | |
| ancient | 13–7 | -0.04 | 11% | 19 Jul → | |
| cache | 16–14 | -0.05 | 19% | 19 Jul → | |
| dust2 | 4–13 | 0.03 | 26% | 19 Jul → | |
| nuke | 8–13 | -0.01 | 5% | 19 Jul → | |
| anubis | 11–13 | 0.01 | 11% | 19 Jul → | |
| mirage | 2–13 | -0.10 | 9% | 19 Jul → | |
| cache | 4–13 | -0.08 | 5% | 19 Jul → | |
| mirage | 9–13 | -0.02 | 14% | 19 Jul → | |
| inferno | 6–13 | -0.05 | 11% | 19 Jul → | |
| dust2 | 5–13 | -0.07 | 30% | 19 Jul → | |
| dust2 | 13–8 | -0.06 | 15% | 18 Jul → | |
| nuke | 13–6 | -0.07 | 14% | 18 Jul → | |
| mirage | 13–8 | 0.02 | 8% | 12 Jul → | |
| cache | 13–7 | -0.02 | 8% | 12 Jul → | |
| cache | 16–13 | -0.04 | 12% | 12 Jul → | |
| anubis | 4–13 | -0.03 | 23% | 12 Jul → | |
| inferno | 13–10 | -0.03 | 7% | 11 Jul → | |
| dust2 | 10–13 | -0.03 | 14% | 11 Jul → | |
| office | 13–5 | 0.03 | 32% | 11 Jul → | |
| office | 3–8 | -0.00 | 21% | 11 Jul → | |
| office | 9–13 | -0.01 | 14% | 11 Jul → | |
| ancient | 16–14 | 0.00 | 19% | 5 Jul → | |
| inferno | 13–7 | 0.02 | 14% | 5 Jul → | |
| overpass | 15–15 | -0.06 | 13% | 4 Jul → | |
| nuke | 11–13 | -0.04 | 13% | 4 Jul → | |
| cache | 13–4 | 0.04 | 29% | 4 Jul → | |
| cache | 6–13 | -0.08 | 30% | 4 Jul → | |
| cache | 4–13 | -0.03 | 12% | 3 Jul → | |
| cache | 3–13 | 0.03 | 14% | 3 Jul → | |
| anubis | 13–3 | -0.03 | 17% | 28 Jun → | |
| nuke | 13–1 | 0.03 | 8% | 28 Jun → | |
| dust2 | 13–10 | 0.01 | 25% | 28 Jun → | |
| mirage | 13–7 | -0.00 | 29% | 21 Jun → | |
| mirage | 9–13 | 0.02 | 23% | 21 Jun → | |
| dust2 | 5–0 | -0.06 | 50% | 21 Jun → | |
| inferno | 13–1 | 0.02 | 16% | 21 Jun → | |
| mirage | 13–4 | -0.01 | 18% | 21 Jun → | |
| mirage | 13–5 | -0.03 | 18% | 21 Jun → | |
| mirage | 15–15 | 0.08 | 22% | 21 Jun → | |
| train | 13–6 | 0.03 | 23% | 21 Jun → | |
| train | 13–7 | -0.09 | 9% | 20 Jun → | |
| ancient | 16–14 | -0.04 | 16% | 13 Jun → | |
| mirage | 15–15 | -0.09 | 13% | 13 Jun → | |
| nuke | 10–13 | 0.02 | 12% | 13 Jun → | |
| overpass | 13–9 | 0.03 | 14% | 13 Jun → | |
| nuke | 11–13 | -0.03 | 13% | 6 Jun → | |
| ancient | 4–13 | -0.06 | 11% | 6 Jun → | |
| anubis | 13–10 | 0.04 | 25% | 6 Jun → | |
| dust2 | 13–8 | 0.04 | 26% | 5 Jun → | |
| vertigo | 13–10 | 0.06 | 16% | 5 Jun → | |
| vertigo | 5–13 | -0.01 | 11% | 5 Jun → | |
| dust2 | 13–7 | -0.01 | 16% | 1 Jun → | |
| dust2 | 11–1 | 0.10 | 9% | 31 May → | |
| mirage | 13–10 | -0.02 | 9% | 31 May → | |
| mirage | 13–3 | 0.06 | 12% | 31 May → | |
| anubis | 13–5 | -0.01 | 13% | 30 May → | |
| anubis | 11–13 | 0.05 | 13% | 30 May → | |
| anubis | 6–13 | 0.09 | 16% | 30 May → | |
| office | 13–8 | 0.11 | 22% | 16 May → | |
| office | 8–13 | -0.04 | 9% | 16 May → | |
| train | 6–13 | 0.01 | 14% | 26 Apr → | |
| train | 13–7 | 0.07 | 21% | 25 Apr → | |
| train | 13–9 | -0.08 | 12% | 28 Feb → | |
| train | 11–13 | -0.10 | 22% | 28 Feb → | |
| nuke | 13–2 | -0.03 | 12% | 15 Feb → | |
| vertigo | 13–6 | -0.00 | 14% | 15 Feb → | |
| vertigo | 11–13 | 0.01 | 26% | 15 Feb → | |
| dust2 | 13–11 | -0.03 | 13% | 7 Feb → | |
| mirage | 13–6 | -0.07 | 23% | 7 Feb → | |
| nuke | 11–13 | 0.06 | 17% | 7 Feb → | |
| mirage | 13–9 | -0.03 | 12% | 7 Feb → | |
| dust2 | 16–12 | 0.06 | 26% | 7 Feb → | |
| anubis | 5–13 | -0.07 | 6% | 7 Feb → | |
| anubis | 13–8 | -0.03 | 24% | 7 Feb → | |
| anubis | 6–13 | -0.04 | 10% | 6 Feb → | |
| anubis | 6–13 | -0.02 | 13% | 6 Feb → | |
| anubis | 3–13 | -0.01 | 38% | 6 Feb → |
Match data via Leetify.