megumin kato(wice) — CS2 Stats
76561199105156104[U:1:1144890376]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 | Level 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 49.6% | 46.1% | 47.0% | above |
| Shot accuracy | 7.3% | 12.6% | 12.7% | 5.4% short |
| Kill/death ratio | 1.21 | 1.05 | 1.07 | above |
| Match win rate | 49.5% | 45.7% | 46.4% | above |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 8 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 · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerLimited utility dependence
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 94% playstyle similarity
Most alike: opening-duel success, 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 95 — 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.
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 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 36 | 22–14 | 61% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| S | 9 | 7–2 | 78% | 0.06 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| B | 8 | 4–4 | 50% | 0.04 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (50% over 14). 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
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 0.3752 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–1 | 0.05 | 18% | 30 Aug → | ||
| 13–2 | 0.04 | 12% | 30 Aug → | ||
| 6–9 | 0.01 | 17% | 26 Aug → | ||
| 5–9 | -0.01 | 21% | 26 Aug → | ||
| 12–12 | 0.02 | 26% | 26 Aug → | ||
| 13–7 | 0.03 | 29% | 26 Aug → | ||
| 13–2 | 0.15 | 23% | 25 Aug → | ||
| 7–9 | -0.04 | 16% | 25 Aug → | ||
| 8–13 | -0.03 | 12% | 25 Aug → | ||
| 13–5 | 0.14 | 27% | 25 Aug → | ||
| 13–7 | 0.10 | 37% | 24 Aug → | ||
| 10–13 | 0.08 | 26% | 24 Aug → | ||
| 13–5 | 0.05 | 14% | 24 Aug → | ||
| 13–6 | 0.05 | 37% | 24 Aug → | ||
| 13–11 | 0.07 | 22% | 24 Aug → | ||
| 10–13 | 0.11 | 18% | 24 Aug → | ||
| 8–5 | 0.04 | 14% | 24 Aug → | ||
| 6–9 | -0.05 | 23% | 23 Aug → | ||
| 9–4 | 0.17 | 20% | 23 Aug → | ||
| 8–8 | -0.03 | 2% | 23 Aug → | ||
| 9–2 | -0.03 | 22% | 23 Aug → | ||
| 8–13 | -0.02 | 26% | 22 Aug → | ||
| 11–0 | 0.04 | 50% | 22 Aug → | ||
| 13–8 | -0.03 | 45% | 22 Aug → | ||
| 11–13 | 0.00 | 10% | 22 Aug → | ||
| 12–12 | 0.08 | 16% | 22 Aug → | ||
| 13–6 | -0.04 | 27% | 22 Aug → | ||
| 13–8 | 0.06 | 29% | 21 Aug → | ||
| 13–6 | 0.14 | 28% | 21 Aug → | ||
| 5–13 | -0.04 | 35% | 21 Aug → | ||
| 9–0 | 0.10 | 25% | 21 Aug → | ||
| 13–4 | 0.18 | 29% | 20 Aug → | ||
| 4–13 | -0.05 | 21% | 20 Aug → | ||
| 9–1 | 0.10 | 9% | 20 Aug → | ||
| 13–1 | 0.15 | 24% | 20 Aug → | ||
| 9–3 | 0.16 | 13% | 20 Aug → | ||
| 9–7 | 0.06 | 23% | 20 Aug → | ||
| 9–1 | 0.11 | 27% | 20 Aug → | ||
| 13–9 | 0.03 | 35% | 20 Aug → | ||
| 9–4 | 0.12 | 20% | 19 Aug → | ||
| 5–9 | -0.01 | 47% | 19 Aug → | ||
| 1–8 | -0.18 | 0% | 19 Aug → | ||
| 8–8 | -0.01 | 23% | 19 Aug → | ||
| 7–9 | -0.01 | 19% | 19 Aug → | ||
| 3–13 | -0.04 | 34% | 19 Aug → | ||
| 9–13 | -0.04 | 29% | 19 Aug → | ||
| 12–12 | -0.07 | 24% | 19 Aug → | ||
| 6–9 | -0.12 | 30% | 19 Aug → | ||
| 5–0 | 0.04 | 33% | 18 Aug → | ||
| 9–6 | 0.12 | 22% | 18 Aug → | ||
| 13–8 | -0.02 | 27% | 16 Aug → | ||
| 2–13 | -0.13 | 0% | 16 Aug → | ||
| 13–2 | 0.10 | 20% | 16 Aug → | ||
| 5–1 | -0.01 | 33% | 16 Aug → | ||
| 2–13 | -0.05 | 23% | 16 Aug → | ||
| 13–8 | -0.00 | 20% | 16 Aug → | ||
| 9–7 | 0.07 | 15% | 16 Aug → | ||
| 9–0 | 0.33 | 15% | 16 Aug → | ||
| 9–6 | 0.08 | 11% | 16 Aug → | ||
| 9–3 | 0.10 | 10% | 16 Aug → | ||
| 9–7 | 0.16 | 10% | 16 Aug → | ||
| 9–3 | 0.16 | 26% | 16 Aug → | ||
| 13–10 | -0.01 | 14% | 16 Aug → | ||
| 13–7 | 0.01 | 21% | 16 Aug → | ||
| 2–13 | 0.01 | 21% | 15 Aug → | ||
| 8–13 | 0.05 | 28% | 15 Aug → | ||
| 13–3 | 0.11 | 43% | 14 Aug → | ||
| 6–13 | 0.03 | 15% | 14 Aug → | ||
| 13–2 | 0.08 | 20% | 14 Aug → | ||
| 2–13 | -0.04 | 13% | 14 Aug → | ||
| 5–13 | -0.03 | 43% | 14 Aug → | ||
| 13–9 | -0.01 | 18% | 14 Aug → | ||
| 11–13 | 0.02 | 17% | 14 Aug → | ||
| 13–10 | 0.03 | 23% | 14 Aug → | ||
| 13–2 | 0.04 | 18% | 14 Aug → | ||
| 7–9 | -0.02 | 19% | 14 Aug → | ||
| 9–2 | 0.15 | 12% | 14 Aug → | ||
| 9–2 | 0.22 | 14% | 14 Aug → | ||
| 12–12 | 0.04 | 17% | 14 Aug → | ||
| 13–8 | 0.14 | 24% | 13 Aug → | ||
| 13–3 | 0.07 | 18% | 13 Aug → | ||
| 14–16 | -0.03 | 24% | 13 Aug → | ||
| 13–4 | 0.09 | 17% | 13 Aug → | ||
| 13–6 | 0.07 | 38% | 13 Aug → | ||
| 13–4 | 0.08 | 13% | 13 Aug → | ||
| 10–13 | 0.08 | 20% | 13 Aug → | ||
| 9–13 | -0.01 | 20% | 13 Aug → | ||
| 15–15 | -0.02 | 15% | 13 Aug → | ||
| 13–11 | -0.02 | 17% | 12 Aug → | ||
| 5–13 | -0.07 | 28% | 12 Aug → | ||
| 7–9 | -0.03 | 21% | 12 Aug → | ||
| 7–9 | -0.07 | 21% | 12 Aug → | ||
| 9–4 | 0.00 | 8% | 12 Aug → | ||
| 9–7 | 0.02 | 8% | 12 Aug → | ||
| 9–6 | -0.07 | 10% | 12 Aug → | ||
| 8–8 | 0.00 | 11% | 12 Aug → | ||
| 2–9 | -0.19 | 16% | 12 Aug → | ||
| 9–7 | 0.10 | 10% | 12 Aug → | ||
| 11–13 | 0.06 | 53% | 12 Aug → | ||
| 13–8 | 0.02 | 20% | 12 Aug → |
Match data via Leetify.