在上面彈跳 — CS2 Stats
CN76561198340445952[U:1:380180224]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=6,418), 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 | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 65.2% | 47.1% | 50.0% | above |
| Shot accuracy | 13.7% | 12.8% | 13.5% | meets |
| Kill/death ratio | 1.83 | 1.08 | 1.13 | above |
| Match win rate | 42.8% | 46.6% | 48.4% | 5.7% short |
This profile matches the typical Red band player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Red 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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 ZywOo 95% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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 86 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 62% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 dust2 | C | 22 | 9–13 | 41% | 0.03 |
 cache | B | 22 | 10–12 | 45% | 0.02 |
 inferno | A | 14 | 8–6 | 57% | 0.02 |
 mirage | D | 12 | 3–9 | 25% | 0.03 |
 ancient | S | 12 | 8–4 | 67% | 0.05 |
 anubis | B | 11 | 5–6 | 45% | 0.03 |
 nuke | A | 5 | 3–2 | 60% | -0.00 |
 overpass | — | 1 | 0–1 | 0% | 0.00 |
| boulder | — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Mirage 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 10–13 | 0.02 | 35% | 24 Aug → | |
| inferno | 13–10 | 0.06 | 26% | 23 Aug → | |
| dust2 | 11–13 | 0.02 | 31% | 22 Aug → | |
| dust2 | 4–13 | 0.02 | 18% | 21 Aug → | |
| cache | 13–11 | -0.00 | 21% | 21 Aug → | |
| dust2 | 13–4 | 0.03 | 32% | 19 Aug → | |
| ancient | 13–7 | 0.04 | 17% | 19 Aug → | |
| anubis | 9–13 | 0.00 | 27% | 18 Aug → | |
| inferno | 13–10 | 0.02 | 22% | 17 Aug → | |
| anubis | 13–8 | 0.03 | 24% | 16 Aug → | |
| anubis | 4–13 | -0.05 | 13% | 15 Aug → | |
| dust2 | 5–13 | 0.01 | 47% | 15 Aug → | |
| cache | 13–11 | 0.02 | 24% | 15 Aug → | |
| cache | 13–10 | 0.06 | 20% | 13 Aug → | |
| inferno | 9–13 | 0.06 | 23% | 12 Aug → | |
| nuke | 11–13 | 0.03 | 21% | 12 Aug → | |
| cache | 3–13 | -0.03 | 27% | 12 Aug → | |
| anubis | 13–11 | 0.01 | 17% | 11 Aug → | |
| ancient | 13–8 | 0.04 | 22% | 10 Aug → | |
| dust2 | 10–13 | -0.00 | 18% | 10 Aug → | |
| inferno | 9–13 | -0.02 | 17% | 10 Aug → | |
| mirage | 3–13 | -0.02 | 31% | 10 Aug → | |
| dust2 | 10–13 | 0.03 | 25% | 9 Aug → | |
| dust2 | 13–7 | 0.07 | 27% | 9 Aug → | |
| inferno | 13–9 | 0.03 | 18% | 8 Aug → | |
| ancient | 13–2 | 0.16 | 21% | 8 Aug → | |
| cache | 13–10 | -0.06 | 27% | 8 Aug → | |
| dust2 | 3–13 | 0.02 | 37% | 7 Aug → | |
| inferno | 11–13 | 0.03 | 34% | 7 Aug → | |
| ancient | 13–6 | -0.00 | 31% | 7 Aug → | |
| ancient | 6–13 | 0.08 | 28% | 7 Aug → | |
| anubis | 8–13 | 0.09 | 30% | 7 Aug → | |
| cache | 1–13 | -0.03 | 15% | 6 Aug → | |
| anubis | 7–13 | -0.02 | 13% | 6 Aug → | |
| anubis | 13–8 | 0.08 | 32% | 6 Aug → | |
| inferno | 13–6 | 0.01 | 26% | 5 Aug → | |
| ancient | 15–15 | 0.04 | 19% | 5 Aug → | |
| cache | 7–2 | 0.08 | 20% | 5 Aug → | |
| inferno | 11–13 | 0.01 | 27% | 5 Aug → | |
| ancient | 14–16 | 0.09 | 25% | 5 Aug → | |
| dust2 | 13–6 | 0.13 | 33% | 4 Aug → | |
| mirage | 3–13 | -0.03 | 43% | 4 Aug → | |
| cache | 7–13 | 0.01 | 24% | 2 Aug → | |
| ancient | 13–7 | -0.03 | 20% | 2 Aug → | |
| cache | 4–13 | -0.00 | 38% | 2 Aug → | |
| ancient | 15–15 | 0.04 | 19% | 1 Aug → | |
| ancient | 13–4 | 0.03 | 22% | 1 Aug → | |
| cache | 13–7 | 0.10 | 17% | 1 Aug → | |
| cache | 9–13 | 0.01 | 21% | 31 Jul → | |
| dust2 | 11–13 | -0.02 | 18% | 31 Jul → | |
| inferno | 8–13 | 0.02 | 26% | 31 Jul → | |
| dust2 | 7–13 | 0.02 | 23% | 29 Jul → | |
| inferno | 13–10 | -0.00 | 19% | 28 Jul → | |
| dust2 | 13–9 | 0.06 | 20% | 28 Jul → | |
| anubis | 9–13 | 0.01 | 24% | 27 Jul → | |
| nuke | 10–13 | -0.11 | 11% | 26 Jul → | |
| ancient | 13–11 | 0.02 | 16% | 25 Jul → | |
| dust2 | 13–8 | -0.01 | 18% | 25 Jul → | |
| anubis | 13–11 | 0.10 | 22% | 25 Jul → | |
| inferno | 11–13 | 0.01 | 28% | 25 Jul → | |
| nuke | 13–8 | 0.03 | 28% | 25 Jul → | |
| cache | 13–10 | 0.05 | 33% | 21 Jul → | |
| dust2 | 13–10 | 0.08 | 28% | 21 Jul → | |
| cache | 8–13 | -0.02 | 32% | 20 Jul → | |
| dust2 | 14–16 | 0.01 | 27% | 20 Jul → | |
| cache | 5–13 | -0.10 | 25% | 20 Jul → | |
| anubis | 13–5 | 0.11 | 24% | 20 Jul → | |
| cache | 14–16 | 0.08 | 37% | 19 Jul → | |
| mirage | 8–13 | 0.04 | 21% | 16 Jul → | |
| overpass | 10–13 | 0.00 | 17% | 16 Jul → | |
| cache | 9–13 | 0.01 | 29% | 15 Jul → | |
| cache | 13–9 | -0.01 | 25% | 15 Jul → | |
| ancient | 13–8 | 0.04 | 31% | 15 Jul → | |
| mirage | 12–16 | 0.01 | 26% | 15 Jul → | |
| dust2 | 12–12 | 0.06 | 30% | 15 Jul → | |
| mirage | 9–13 | -0.00 | 24% | 15 Jul → | |
| cache | 13–11 | 0.06 | 32% | 15 Jul → | |
| dust2 | 10–13 | 0.03 | 26% | 14 Jul → | |
| inferno | 13–11 | 0.06 | 30% | 14 Jul → | |
| mirage | 13–4 | 0.06 | 23% | 14 Jul → | |
| inferno | 13–5 | 0.00 | 14% | 12 Jul → | |
| boulder | 13–3 | 0.00 | 35% | 12 Jul → | |
| mirage | 13–10 | 0.04 | 26% | 12 Jul → | |
| cache | 8–13 | 0.04 | 24% | 12 Jul → | |
| nuke | 13–10 | 0.06 | 38% | 12 Jul → | |
| mirage | 3–13 | -0.01 | 29% | 12 Jul → | |
| dust2 | 16–14 | -0.01 | 15% | 12 Jul → | |
| cache | 13–3 | 0.02 | 24% | 12 Jul → | |
| mirage | 10–13 | -0.00 | 15% | 12 Jul → | |
| inferno | 13–9 | 0.02 | 19% | 11 Jul → | |
| cache | 7–13 | 0.06 | 14% | 11 Jul → | |
| dust2 | 15–15 | 0.04 | 18% | 11 Jul → | |
| dust2 | 13–5 | 0.08 | 18% | 11 Jul → | |
| dust2 | 13–6 | -0.01 | 23% | 10 Jul → | |
| nuke | 13–1 | -0.03 | 29% | 10 Jul → | |
| mirage | 13–6 | 0.21 | 30% | 10 Jul → | |
| dust2 | 9–13 | -0.06 | 23% | 9 Jul → | |
| cache | 12–12 | 0.05 | 16% | 9 Jul → | |
| mirage | 9–13 | 0.09 | 16% | 8 Jul → | |
| anubis | 9–13 | -0.03 | 27% | 8 Jul → |
Match data via Leetify.
