Tanzende Katze — CS2 Stats
DE76561199101660763[U:1:1141395035]Steam profile ↗
How this compares with the same rank
Median values for Grey band among CSDB-tracked players (n=369), 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 | Grey band median | Light Blue band median | vs Light Blue band |
|---|---|---|---|---|
| Headshot rate | 42.8% | 37.5% | 39.7% | above |
| Shot accuracy | 0.9% | 4.5% | 6.7% | 5.7% short |
| Kill/death ratio | 0.72 | 0.82 | 0.91 | 0.19 short |
| Match win rate | 36.1% | 39.1% | 42.1% | 6.0% short |
This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Light Blue 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 · +0.04 avg rating
Player DNA
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 65% playstyle similarity
Most alike: opening-fight frequency, 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
Reaction time. 880ms 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 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 73 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 | D | 24 | 6–18 | 25% | -0.03 |
 nuke | B | 17 | 8–9 | 47% | -0.02 |
 mirage | C | 17 | 7–10 | 41% | -0.04 |
 inferno | D | 9 | 2–7 | 22% | -0.04 |
 anubis | — | 2 | 1–1 | 50% | -0.10 |
 vertigo | — | 2 | 0–2 | 0% | -0.12 |
 ancient | — | 1 | 0–1 | 0% | -0.05 |
 cache | — | 1 | 0–1 | 0% | -0.09 |
Across the last 73 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno 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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 880.4167ms — above the 700ms mark we flag
- 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 — 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 35.0611% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 8–13 | -0.08 | 12% | 17 Jul → | |
| ancient | 11–13 | -0.05 | 10% | 17 Jul → | |
| mirage | 13–6 | -0.13 | 18% | 17 Jul → | |
| anubis | 9–13 | -0.09 | 22% | 17 Jul → | |
| nuke | 12–3 | -0.01 | 3% | 17 Jul → | |
| nuke | 8–8 | -0.13 | 19% | 17 Jul → | |
| nuke | 9–1 | 0.24 | 32% | 17 Jul → | |
| nuke | 8–13 | 0.02 | 19% | 17 Jul → | |
| nuke | 9–0 | 0.29 | 6% | 17 Jul → | |
| mirage | 1–13 | -0.10 | 12% | 17 Jul → | |
| dust2 | 10–13 | -0.07 | 10% | 16 Jul → | |
| inferno | 3–13 | -0.03 | 12% | 16 Jul → | |
| dust2 | 11–13 | -0.07 | 15% | 16 Jul → | |
| dust2 | 1–13 | -0.04 | 25% | 16 Jul → | |
| mirage | 2–13 | -0.10 | 7% | 16 Jul → | |
| inferno | 4–13 | -0.06 | 13% | 16 Jul → | |
| dust2 | 13–10 | 0.08 | 11% | 16 Jul → | |
| inferno | 13–6 | -0.02 | 12% | 16 Jul → | |
| nuke | 5–13 | -0.06 | 30% | 16 Jul → | |
| mirage | 0–13 | -0.09 | 18% | 16 Jul → | |
| inferno | 8–13 | -0.06 | 23% | 16 Jul → | |
| dust2 | 10–13 | -0.04 | 22% | 16 Jul → | |
| mirage | 12–12 | 0.04 | 19% | 16 Jul → | |
| dust2 | 8–13 | -0.03 | 17% | 15 Jul → | |
| mirage | 13–4 | -0.03 | 14% | 15 Jul → | |
| dust2 | 13–7 | 0.08 | 16% | 15 Jul → | |
| dust2 | 2–13 | -0.09 | 4% | 15 Jul → | |
| dust2 | 15–15 | -0.00 | 11% | 15 Jul → | |
| dust2 | 8–13 | -0.09 | 14% | 15 Jul → | |
| anubis | 16–12 | -0.10 | 13% | 15 Jul → | |
| nuke | 6–9 | -0.14 | 19% | 15 Jul → | |
| nuke | 1–9 | -0.21 | 13% | 15 Jul → | |
| mirage | 9–13 | 0.02 | 26% | 14 Jul → | |
| dust2 | 13–4 | 0.05 | 14% | 14 Jul → | |
| dust2 | 10–13 | -0.08 | 19% | 14 Jul → | |
| nuke | 3–9 | -0.08 | 24% | 14 Jul → | |
| dust2 | 5–13 | 0.08 | 9% | 14 Jul → | |
| inferno | 10–13 | 0.06 | 16% | 14 Jul → | |
| mirage | 10–13 | 0.05 | 12% | 14 Jul → | |
| nuke | 3–13 | -0.07 | 15% | 14 Jul → | |
| dust2 | 2–13 | -0.05 | 9% | 14 Jul → | |
| mirage | 12–12 | 0.01 | 18% | 14 Jul → | |
| inferno | 2–9 | -0.04 | 9% | 14 Jul → | |
| nuke | 0–8 | -0.03 | 29% | 13 Jul → | |
| mirage | 13–10 | -0.03 | 15% | 13 Jul → | |
| dust2 | 13–11 | -0.04 | 18% | 13 Jul → | |
| cache | 4–13 | -0.09 | 10% | 13 Jul → | |
| dust2 | 13–8 | 0.03 | 10% | 13 Jul → | |
| nuke | 13–2 | -0.02 | 11% | 13 Jul → | |
| nuke | 13–7 | -0.05 | 13% | 13 Jul → | |
| dust2 | 9–13 | -0.06 | 19% | 11 Jul → | |
| mirage | 3–13 | -0.11 | 16% | 10 Jul → | |
| mirage | 13–7 | -0.04 | 6% | 9 Jul → | |
| nuke | 9–4 | 0.03 | 6% | 9 Jul → | |
| dust2 | 2–13 | -0.05 | 6% | 9 Jul → | |
| inferno | 5–13 | -0.08 | 7% | 7 Jul → | |
| dust2 | 4–13 | -0.06 | 6% | 7 Jul → | |
| nuke | 9–5 | -0.10 | 18% | 7 Jul → | |
| dust2 | 9–13 | -0.06 | 10% | 4 Jul → | |
| mirage | 13–7 | -0.03 | 10% | 4 Jul → | |
| mirage | 12–12 | -0.01 | 24% | 4 Jul → | |
| inferno | 13–2 | -0.05 | 9% | 4 Jul → | |
| inferno | 6–13 | -0.07 | 11% | 28 Jun → | |
| dust2 | 3–13 | -0.10 | 14% | 27 Jun → | |
| mirage | 9–13 | -0.08 | 7% | 21 Jun → | |
| vertigo | 12–12 | -0.07 | 9% | 21 Jun → | |
| mirage | 13–2 | 0.03 | 9% | 18 Jun → | |
| dust2 | 13–10 | -0.03 | 11% | 22 Jul → | |
| dust2 | 6–13 | -0.06 | 0% | 18 Jul → | |
| mirage | 16–14 | -0.01 | 9% | 17 Jul → | |
| nuke | 9–4 | 0.06 | 19% | 13 Jul → | |
| dust2 | 0–13 | -0.08 | 38% | 5 Jul → | |
| vertigo | 4–13 | -0.16 | 20% | 9 Nov → |
Match data via Leetify.