Jetami$ — CS2 Stats
76561198032689668[U:1:72423940]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 15.5% | 41.7% | 44.1% | 28.6% short |
| Shot accuracy | 15.9% | 8.8% | 11.4% | above |
| Kill/death ratio | 0.98 | 0.97 | 1.03 | 0.05 short |
| Match win rate | 73.4% | 43.8% | 45.2% | above |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple 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 · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 ropz 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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. 587ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | B | 28 | 15–13 | 54% | 0.01 |
 anubis | C | 18 | 8–10 | 44% | 0.00 |
 ancient | C | 16 | 7–9 | 44% | 0.02 |
 mirage | B | 10 | 5–5 | 50% | 0.01 |
 cache | C | 9 | 4–5 | 44% | -0.00 |
 nuke | S | 8 | 6–2 | 75% | 0.03 |
 inferno | S | 6 | 4–2 | 67% | -0.00 |
 overpass | — | 3 | 0–3 | 0% | -0.02 |
| office | — | 1 | 1–0 | 100% | -0.04 |
 vertigo | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (44% over 18). 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 16–14 | 0.03 | 14% | 28 Aug → | |
| inferno | 3–13 | -0.08 | 23% | 28 Aug → | |
| ancient | 11–13 | 0.08 | 17% | 28 Aug → | |
| dust2 | 13–10 | 0.04 | 21% | 28 Aug → | |
| ancient | 3–7 | 0.04 | 17% | 28 Aug → | |
| cache | 13–7 | 0.03 | 8% | 26 Aug → | |
| cache | 13–11 | 0.02 | 14% | 26 Aug → | |
| dust2 | 13–4 | 0.10 | 24% | 25 Aug → | |
| inferno | 13–9 | 0.00 | 21% | 25 Aug → | |
| cache | 7–13 | -0.06 | 10% | 25 Aug → | |
| anubis | 13–10 | 0.00 | 16% | 24 Aug → | |
| dust2 | 13–6 | 0.06 | 11% | 19 Aug → | |
| anubis | 10–13 | -0.01 | 30% | 17 Aug → | |
| ancient | 8–13 | 0.02 | 30% | 17 Aug → | |
| dust2 | 3–13 | -0.06 | 20% | 17 Aug → | |
| dust2 | 10–13 | -0.00 | 12% | 16 Aug → | |
| mirage | 13–2 | 0.04 | 12% | 16 Aug → | |
| dust2 | 13–11 | 0.10 | 16% | 16 Aug → | |
| dust2 | 13–6 | 0.04 | 15% | 16 Aug → | |
| nuke | 13–16 | -0.00 | 10% | 15 Aug → | |
| dust2 | 13–7 | 0.04 | 20% | 15 Aug → | |
| dust2 | 2–10 | -0.00 | 13% | 14 Aug → | |
| cache | 13–8 | 0.02 | 22% | 13 Aug → | |
| anubis | 9–13 | 0.00 | 15% | 13 Aug → | |
| dust2 | 13–10 | -0.03 | 19% | 12 Aug → | |
| dust2 | 2–11 | -0.01 | 24% | 12 Aug → | |
| dust2 | 6–13 | -0.06 | 4% | 10 Aug → | |
| anubis | 4–13 | -0.07 | 16% | 10 Aug → | |
| nuke | 13–7 | 0.05 | 18% | 5 Aug → | |
| mirage | 9–13 | -0.03 | 20% | 5 Aug → | |
| inferno | 13–3 | 0.02 | 22% | 4 Aug → | |
| dust2 | 13–5 | 0.02 | 8% | 3 Aug → | |
| cache | 13–10 | 0.03 | 22% | 3 Aug → | |
| cache | 15–15 | 0.01 | 15% | 3 Aug → | |
| ancient | 13–4 | 0.09 | 18% | 3 Aug → | |
| anubis | 13–2 | -0.01 | 14% | 2 Aug → | |
| dust2 | 13–11 | -0.00 | 20% | 2 Aug → | |
| mirage | 13–2 | 0.07 | 27% | 2 Aug → | |
| inferno | 16–13 | 0.02 | 14% | 2 Aug → | |
| anubis | 3–13 | -0.05 | 19% | 2 Aug → | |
| ancient | 16–13 | 0.01 | 17% | 2 Aug → | |
| ancient | 13–10 | -0.03 | 8% | 29 Jul → | |
| ancient | 11–13 | -0.05 | 44% | 27 Jul → | |
| ancient | 4–13 | 0.00 | 5% | 23 Jul → | |
| mirage | 13–11 | -0.02 | 22% | 23 Jul → | |
| nuke | 13–9 | 0.04 | 16% | 22 Jul → | |
| mirage | 7–13 | 0.05 | 18% | 21 Jul → | |
| ancient | 10–13 | -0.04 | 22% | 20 Jul → | |
| nuke | 13–5 | 0.11 | 24% | 20 Jul → | |
| cache | 7–13 | -0.07 | 22% | 19 Jul → | |
| ancient | 10–6 | 0.06 | 11% | 19 Jul → | |
| mirage | 13–9 | 0.02 | 16% | 18 Jul → | |
| anubis | 10–13 | 0.06 | 13% | 15 Jul → | |
| dust2 | 6–13 | 0.00 | 16% | 14 Jul → | |
| dust2 | 2–13 | -0.05 | 14% | 14 Jul → | |
| office | 13–9 | -0.04 | 33% | 12 Jul → | |
| mirage | 13–11 | -0.01 | 10% | 12 Jul → | |
| anubis | 11–13 | 0.03 | 24% | 10 Jul → | |
| nuke | 6–13 | 0.03 | 19% | 9 Jul → | |
| dust2 | 11–13 | 0.14 | 21% | 9 Jul → | |
| vertigo | 2–6 | 0.03 | 40% | 7 Jul → | |
| cache | 12–12 | 0.07 | 19% | 7 Jul → | |
| cache | 8–13 | -0.07 | 9% | 6 Jul → | |
| overpass | 4–13 | -0.02 | 18% | 6 Jul → | |
| anubis | 13–11 | 0.04 | 8% | 30 Jun → | |
| anubis | 13–7 | -0.03 | 14% | 29 Jun → | |
| dust2 | 7–13 | -0.06 | 10% | 29 Jun → | |
| inferno | 6–13 | 0.02 | 20% | 28 Jun → | |
| dust2 | 13–5 | 0.11 | 25% | 28 Jun → | |
| ancient | 13–9 | 0.13 | 12% | 27 Jun → | |
| ancient | 13–8 | 0.01 | 10% | 27 Jun → | |
| anubis | 14–16 | -0.03 | 15% | 22 Jun → | |
| anubis | 6–13 | -0.11 | 19% | 10 Jun → | |
| anubis | 11–13 | 0.03 | 16% | 9 Jun → | |
| dust2 | 13–11 | -0.05 | 25% | 9 Jun → | |
| nuke | 13–11 | 0.02 | 13% | 8 Jun → | |
| ancient | 13–16 | -0.04 | 20% | 8 Jun → | |
| dust2 | 13–10 | 0.06 | 9% | 8 Jun → | |
| mirage | 1–6 | 0.05 | 50% | 6 Jun → | |
| nuke | 16–13 | -0.00 | 22% | 4 Jun → | |
| mirage | 5–13 | -0.05 | 14% | 4 Jun → | |
| anubis | 16–14 | 0.05 | 13% | 3 Jun → | |
| nuke | 16–14 | 0.03 | 21% | 1 Jun → | |
| ancient | 9–13 | -0.06 | 29% | 1 Jun → | |
| overpass | 11–13 | -0.04 | 15% | 1 Jun → | |
| inferno | 13–5 | 0.00 | 19% | 1 Jun → | |
| dust2 | 13–10 | 0.03 | 13% | 1 Jun → | |
| dust2 | 13–9 | 0.00 | 18% | 31 May → | |
| dust2 | 13–8 | -0.00 | 10% | 31 May → | |
| dust2 | 8–13 | -0.04 | 13% | 30 May → | |
| anubis | 13–7 | 0.05 | 19% | 30 May → | |
| ancient | 16–14 | 0.11 | 17% | 29 May → | |
| overpass | 15–15 | -0.00 | 16% | 28 May → | |
| mirage | 9–13 | -0.06 | 8% | 28 May → | |
| dust2 | 5–13 | -0.06 | 15% | 28 May → | |
| anubis | 13–2 | 0.04 | 21% | 27 May → | |
| ancient | 13–16 | -0.01 | 21% | 27 May → | |
| dust2 | 11–13 | -0.03 | 13% | 27 May → | |
| anubis | 9–13 | 0.00 | 18% | 26 May → | |
| dust2 | 8–13 | 0.01 | 16% | 26 May → |
Match data via Leetify.