constellations — CS2 Stats
76561199198037955[U:1:1237772227]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | 63.1% | 44.2% | 47.1% | above |
| Shot accuracy | 3.2% | 11.6% | 12.8% | 9.6% short |
| Kill/death ratio | 1.31 | 1.03 | 1.08 | above |
| Match win rate | 48.8% | 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 ZywOo 89% playstyle similarity
Most alike: opening-fight frequency, positioning 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 90 — 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. 585ms 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 6.9/10 (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 86 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 | 26 | 12–14 | 46% | 0.01 |
 nuke | S | 13 | 9–4 | 69% | 0.01 |
 ancient | B | 11 | 5–6 | 45% | 0.04 |
 cache | A | 10 | 6–4 | 60% | 0.02 |
 anubis | D | 9 | 3–6 | 33% | -0.01 |
 inferno | B | 8 | 4–4 | 50% | 0.01 |
 train | — | 4 | 1–3 | 25% | 0.06 |
 dust2 | — | 4 | 3–1 | 75% | 0.05 |
| warden | — | 1 | 1–0 | 100% | -0.02 |
Across the last 86 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). 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.
- 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 0.4683 — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–5 | 0.07 | 32% | 30 Aug → | |
| anubis | 6–13 | 0.02 | 26% | 30 Aug → | |
| train | 10–13 | 0.09 | 34% | 29 Aug → | |
| mirage | 11–13 | 0.05 | 37% | 29 Aug → | |
| nuke | 16–13 | 0.03 | 16% | 20 Aug → | |
| cache | 5–13 | 0.04 | 28% | 20 Aug → | |
| train | 9–13 | 0.08 | 56% | 18 Aug → | |
| cache | 13–9 | 0.10 | 33% | 18 Aug → | |
| mirage | 13–7 | 0.14 | 32% | 17 Aug → | |
| cache | 8–13 | -0.05 | 29% | 17 Aug → | |
| inferno | 7–13 | 0.11 | 35% | 16 Aug → | |
| cache | 13–10 | 0.03 | 22% | 16 Aug → | |
| nuke | 8–13 | 0.01 | 28% | 16 Aug → | |
| anubis | 13–8 | -0.04 | 13% | 16 Aug → | |
| mirage | 3–13 | -0.05 | 8% | 16 Aug → | |
| mirage | 3–13 | -0.01 | 23% | 15 Aug → | |
| ancient | 13–8 | 0.06 | 24% | 15 Aug → | |
| dust2 | 13–8 | -0.01 | 30% | 15 Aug → | |
| mirage | 10–13 | 0.05 | 36% | 15 Aug → | |
| cache | 7–13 | -0.00 | 20% | 14 Aug → | |
| ancient | 13–11 | 0.04 | 15% | 13 Aug → | |
| mirage | 13–6 | -0.01 | 18% | 11 Aug → | |
| cache | 13–11 | 0.02 | 26% | 11 Aug → | |
| mirage | 13–9 | 0.03 | 29% | 10 Aug → | |
| ancient | 6–13 | 0.04 | 21% | 10 Aug → | |
| mirage | 16–14 | 0.02 | 18% | 9 Aug → | |
| cache | 3–13 | -0.06 | 14% | 8 Aug → | |
| nuke | 16–13 | -0.02 | 33% | 8 Aug → | |
| cache | 13–6 | 0.06 | 24% | 8 Aug → | |
| inferno | 11–13 | -0.01 | 16% | 8 Aug → | |
| ancient | 13–8 | 0.22 | 21% | 4 Aug → | |
| mirage | 9–13 | -0.03 | 27% | 4 Aug → | |
| anubis | 11–13 | 0.03 | 31% | 30 Jul → | |
| inferno | 13–9 | 0.02 | 23% | 30 Jul → | |
| mirage | 4–13 | -0.09 | 31% | 30 Jul → | |
| cache | 13–2 | 0.09 | 20% | 30 Jul → | |
| dust2 | 13–6 | 0.12 | 38% | 29 Jul → | |
| mirage | 13–1 | 0.05 | 11% | 29 Jul → | |
| anubis | 13–8 | -0.04 | 15% | 29 Jul → | |
| anubis | 13–8 | -0.02 | 32% | 29 Jul → | |
| inferno | 6–9 | -0.03 | 38% | 29 Jul → | |
| nuke | 13–11 | -0.07 | 28% | 29 Jul → | |
| mirage | 8–13 | -0.06 | 30% | 24 Jul → | |
| ancient | 7–13 | -0.00 | 36% | 24 Jul → | |
| mirage | 5–13 | -0.05 | 26% | 23 Jul → | |
| anubis | 9–13 | 0.00 | 41% | 23 Jul → | |
| anubis | 14–16 | -0.02 | 24% | 22 Jul → | |
| nuke | 13–7 | -0.00 | 36% | 21 Jul → | |
| cache | 13–8 | 0.00 | 25% | 21 Jul → | |
| inferno | 13–11 | 0.03 | 22% | 11 Jul → | |
| mirage | 13–7 | -0.03 | 24% | 11 Jul → | |
| ancient | 8–13 | 0.09 | 50% | 21 Jun → | |
| inferno | 13–6 | -0.05 | 29% | 21 Jun → | |
| nuke | 13–9 | 0.07 | 36% | 15 Jun → | |
| dust2 | 10–13 | 0.04 | 30% | 15 Jun → | |
| inferno | 8–13 | 0.03 | 31% | 15 Jun → | |
| ancient | 13–6 | 0.00 | 42% | 13 Jun → | |
| nuke | 13–3 | 0.09 | 33% | 13 Jun → | |
| mirage | 5–13 | -0.04 | 27% | 13 Jun → | |
| anubis | 11–13 | 0.04 | 15% | 12 Jun → | |
| dust2 | 13–3 | 0.06 | 24% | 12 Jun → | |
| nuke | 13–2 | 0.07 | 32% | 12 Jun → | |
| mirage | 13–0 | 0.11 | 38% | 12 Jun → | |
| nuke | 13–16 | 0.03 | 27% | 10 Jun → | |
| mirage | 8–13 | -0.00 | 24% | 10 Jun → | |
| ancient | 8–13 | -0.06 | 19% | 2 Jun → | |
| mirage | 6–13 | -0.05 | 25% | 29 May → | |
| nuke | 9–13 | -0.03 | 35% | 27 May → | |
| nuke | 10–1 | 0.00 | 25% | 27 May → | |
| ancient | 13–6 | 0.05 | 19% | 24 May → | |
| mirage | 13–8 | 0.15 | 33% | 24 May → | |
| anubis | 6–13 | -0.02 | 20% | 23 May → | |
| ancient | 4–13 | -0.00 | 29% | 18 May → | |
| nuke | 8–13 | 0.00 | 34% | 18 May → | |
| mirage | 8–13 | 0.04 | 28% | 17 May → | |
| mirage | 8–13 | -0.07 | 19% | 17 May → | |
| mirage | 16–14 | 0.01 | 23% | 17 May → | |
| nuke | 13–2 | -0.01 | 27% | 4 May → | |
| mirage | 13–5 | 0.01 | 12% | 4 May → | |
| mirage | 2–13 | 0.01 | 34% | 27 Apr → | |
| mirage | 13–5 | 0.11 | 29% | 25 Apr → | |
| ancient | 12–12 | 0.00 | 33% | 9 Apr → | |
| warden | 13–3 | -0.02 | 24% | 9 Apr → | |
| train | 6–13 | 0.02 | 59% | 10 Apr → | |
| train | 13–7 | 0.04 | 42% | 3 Apr → | |
| inferno | 13–7 | 0.01 | 24% | 29 Mar → |
Match data via Leetify.
