Karasu — CS2 Stats
76561198050001216[U:1:89735488]
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | 41.0% | 41.4% | 44.2% | 3.2% short |
| Shot accuracy | 16.7% | 9.0% | 11.6% | above |
| Kill/death ratio | 1.06 | 0.97 | 1.03 | above |
| Match win rate | 32.9% | 43.7% | 45.2% | 12.3% short |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Match win 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 · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower utility contribution; 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 590ms 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 5.9/10 (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 81 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 | 22 | 10–12 | 45% | 0.01 |
 inferno | B | 15 | 7–8 | 47% | 0.01 |
 mirage | S | 14 | 10–4 | 71% | 0.04 |
 nuke | C | 8 | 3–5 | 38% | 0.02 |
 cache | B | 6 | 3–3 | 50% | 0.03 |
 train | — | 4 | 1–3 | 25% | -0.00 |
 anubis | — | 3 | 1–2 | 33% | 0.04 |
 ancient | — | 3 | 1–2 | 33% | -0.01 |
 vertigo | — | 3 | 1–2 | 33% | 0.06 |
 overpass | — | 1 | 0–1 | 0% | 0.01 |
| whistle | — | 1 | 0–1 | 0% | -0.09 |
| palais | — | 1 | 1–0 | 100% | 0.09 |
Across the last 81 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 8). 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 10–13 | -0.01 | 18% | 24 Jul → | |
| cache | 8–13 | 0.03 | 19% | 24 Jul → | |
| cache | 13–5 | 0.08 | 20% | 23 Jul → | |
| inferno | 13–11 | -0.00 | 16% | 23 Jul → | |
| dust2 | 12–16 | -0.01 | 18% | 22 Jul → | |
| dust2 | 13–8 | 0.10 | 16% | 22 Jul → | |
| dust2 | 13–10 | 0.06 | 23% | 20 Jul → | |
| mirage | 16–12 | 0.03 | 22% | 20 Jul → | |
| anubis | 10–13 | 0.07 | 17% | 19 Jul → | |
| dust2 | 7–13 | -0.06 | 21% | 19 Jul → | |
| inferno | 13–11 | -0.03 | 21% | 19 Jul → | |
| cache | 13–9 | 0.07 | 19% | 19 Jul → | |
| nuke | 7–13 | 0.00 | 17% | 16 Jul → | |
| dust2 | 10–13 | 0.04 | 22% | 16 Jul → | |
| inferno | 6–0 | 0.16 | 16% | 15 Jul → | |
| cache | 4–13 | -0.02 | 12% | 15 Jul → | |
| dust2 | 6–1 | 0.07 | 12% | 15 Jul → | |
| dust2 | 11–13 | 0.04 | 18% | 15 Jul → | |
| nuke | 7–13 | 0.05 | 14% | 15 Jul → | |
| inferno | 8–13 | -0.04 | 14% | 14 Jul → | |
| cache | 2–13 | -0.03 | 21% | 13 Jul → | |
| dust2 | 13–10 | -0.01 | 25% | 13 Jul → | |
| mirage | 13–9 | 0.06 | 20% | 13 Jul → | |
| dust2 | 7–13 | -0.00 | 27% | 13 Jul → | |
| cache | 13–10 | 0.08 | 25% | 8 Jul → | |
| inferno | 13–10 | 0.04 | 29% | 6 Jul → | |
| dust2 | 13–11 | -0.04 | 20% | 4 Jul → | |
| inferno | 9–13 | -0.01 | 28% | 29 Jun → | |
| dust2 | 13–2 | 0.05 | 14% | 26 Jun → | |
| overpass | 8–13 | 0.01 | 24% | 26 Jun → | |
| mirage | 5–13 | -0.04 | 41% | 7 Mar → | |
| mirage | 9–13 | -0.02 | 31% | 7 Mar → | |
| train | 13–4 | 0.00 | 35% | 22 May → | |
| train | 12–12 | 0.02 | 22% | 22 May → | |
| mirage | 16–14 | -0.01 | 16% | 20 May → | |
| whistle | 5–9 | -0.09 | 29% | 18 Apr → | |
| palais | 9–5 | 0.09 | 10% | 18 Apr → | |
| inferno | 9–6 | 0.16 | 41% | 18 Apr → | |
| mirage | 13–5 | -0.01 | 11% | 4 Apr → | |
| dust2 | 2–13 | -0.11 | 22% | 24 Mar → | |
| dust2 | 13–7 | 0.04 | 22% | 24 Mar → | |
| anubis | 7–13 | 0.03 | 18% | 28 Feb → | |
| mirage | 13–10 | -0.02 | 12% | 25 Feb → | |
| dust2 | 10–13 | 0.04 | 27% | 25 Feb → | |
| dust2 | 16–12 | 0.04 | 26% | 18 Feb → | |
| nuke | 13–5 | 0.00 | 23% | 18 Feb → | |
| dust2 | 13–7 | 0.02 | 30% | 17 Feb → | |
| dust2 | 9–13 | -0.06 | 20% | 13 Feb → | |
| inferno | 13–11 | -0.00 | 21% | 9 Feb → | |
| mirage | 13–4 | 0.19 | 31% | 9 Feb → | |
| inferno | 11–13 | -0.02 | 25% | 6 Feb → | |
| mirage | 13–9 | 0.07 | 28% | 5 Feb → | |
| mirage | 10–4 | 0.03 | 37% | 5 Feb → | |
| inferno | 5–13 | -0.04 | 10% | 4 Feb → | |
| dust2 | 13–4 | 0.05 | 18% | 4 Feb → | |
| ancient | 13–11 | 0.05 | 19% | 3 Feb → | |
| ancient | 15–15 | -0.00 | 20% | 2 Feb → | |
| mirage | 13–6 | 0.02 | 22% | 31 Jan → | |
| inferno | 7–13 | 0.01 | 25% | 31 Jan → | |
| train | 1–13 | 0.02 | 22% | 31 Jan → | |
| anubis | 13–4 | 0.03 | 21% | 27 Jan → | |
| nuke | 7–13 | -0.05 | 15% | 21 Jan → | |
| vertigo | 13–11 | 0.05 | 27% | 20 Jan → | |
| vertigo | 10–13 | 0.08 | 19% | 10 Jan → | |
| dust2 | 3–13 | -0.06 | 32% | 10 Jan → | |
| inferno | 12–16 | -0.01 | 12% | 10 Jan → | |
| dust2 | 8–13 | 0.03 | 24% | 10 Jan → | |
| dust2 | 11–13 | 0.01 | 15% | 6 Dec → | |
| inferno | 13–8 | -0.03 | 15% | 20 Jun → | |
| inferno | 9–13 | -0.01 | 18% | 18 Jun → | |
| nuke | 13–10 | 0.05 | 17% | 18 Jun → | |
| ancient | 3–13 | -0.07 | 12% | 8 Feb → | |
| mirage | 1–13 | -0.02 | 24% | 8 Feb → | |
| vertigo | 6–13 | 0.03 | 27% | 1 Dec → | |
| nuke | 11–4 | 0.07 | 40% | 15 Sept → | |
| nuke | 15–15 | 0.02 | 28% | 13 Sept → | |
| mirage | 16–0 | 0.14 | 36% | 24 May → | |
| inferno | 3–15 | -0.05 | 31% | 5 May → | |
| nuke | 7–16 | 0.04 | 41% | 1 May → | |
| train | 15–15 | -0.04 | 16% | 25 Apr → | |
| mirage | 11–16 | 0.08 | 28% | 20 Apr → |
Match data via Leetify.
