Goku7 — CS2 Stats
76561199033585931[U:1:1073320203]
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 42.2% | 47.2% | 49.0% | 6.8% short |
| Shot accuracy | 15.6% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.14 | 1.07 | 1.08 | above |
| Match win rate | 38.9% | 46.3% | 46.9% | 8.0% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 9 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 · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Reliable in 1v1s
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 device 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; 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
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 5.8/10 (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 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 |
|---|---|---|---|---|---|
| B | 23 | 12–11 | 52% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| D | 16 | 5–11 | 31% | -0.00 | |
| B | 11 | 5–6 | 45% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| office | — | 2 | 1–1 | 50% | 0.01 |
| — | 1 | 0–1 | 0% | -0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 75% | 1.35 | 16.5 |
| Dust2 | 4 | 25% | 1.21 | 15.3 |
| Ancient | 2 | 50% | 0.78 | 9.5 |
| Inferno | 1 | 0% | 0.56 | 10.0 |
| Nuke | 1 | 100% | 0.75 | 12.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
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 0.4217 — 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.
31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.09 | 15% | 27 Aug → | ||
| 11–13 | -0.01 | 15% | 23 Aug → | ||
| 13–8 | 0.01 | 12% | 23 Aug → | ||
| 13–11 | -0.03 | 8% | 12 Aug → | ||
| 4–7 | 0.03 | 14% | 12 Aug → | ||
| 2–13 | -0.01 | 24% | 12 Aug → | ||
| 2–13 | -0.03 | 15% | 8 Aug → | ||
| 13–11 | -0.01 | 19% | 7 Aug → | ||
| 3–13 | 0.00 | 15% | 7 Aug → | ||
| 9–13 | 0.04 | 9% | 6 Aug → | ||
| 13–7 | -0.03 | 19% | 6 Aug → | ||
| 6–13 | 0.04 | 18% | 6 Aug → | ||
| 7–13 | -0.02 | 13% | 5 Aug → | ||
| 3–13 | -0.04 | 17% | 5 Aug → | ||
| 13–6 | -0.04 | 10% | 4 Aug → | ||
| 9–13 | -0.03 | 20% | 1 Aug → | ||
| 9–13 | -0.03 | 14% | 30 Jul → | ||
| 13–11 | 0.04 | 14% | 27 Jul → | ||
| 2–13 | -0.04 | 24% | 26 Jul → | ||
| 16–13 | -0.04 | 7% | 22 Jul → | ||
| 13–7 | -0.03 | 20% | 19 Jul → | ||
| 1–7 | 0.01 | 33% | 19 Jul → | ||
| 13–8 | 0.09 | 18% | 18 Jul → | ||
| 10–13 | -0.00 | 7% | 18 Jul → | ||
| 13–16 | -0.01 | 11% | 17 Jul → | ||
| 13–16 | -0.01 | 18% | 14 Jul → | ||
| 13–2 | 0.17 | 27% | 14 Jul → | ||
| 10–13 | -0.01 | 9% | 13 Jul → | ||
| 14–16 | 0.06 | 18% | 11 Jul → | ||
| 10–13 | 0.02 | 15% | 11 Jul → | ||
| 9–13 | -0.08 | 21% | 11 Jul → | ||
| 13–5 | 0.13 | 18% | 11 Jul → | ||
| 12–4 | -0.01 | 11% | 10 Jul → | ||
| 11–2 | 0.10 | 9% | 10 Jul → | ||
| 6–13 | -0.03 | 4% | 10 Jul → | ||
| 4–13 | 0.07 | 21% | 9 Jul → | ||
| 9–13 | 0.05 | 23% | 9 Jul → | ||
| 13–3 | 0.05 | 14% | 9 Jul → | ||
| 13–4 | 0.02 | 11% | 8 Jul → | ||
| 13–5 | -0.00 | 15% | 2 Jul → | ||
| 6–13 | 0.04 | 9% | 2 Jul → | ||
| 7–13 | 0.03 | 18% | 2 Jul → | ||
| 13–9 | -0.07 | 9% | 1 Jul → | ||
| 8–13 | -0.06 | 19% | 1 Jul → | ||
| 8–13 | -0.01 | 18% | 1 Jul → | ||
| 13–8 | 0.01 | 20% | 28 Jun → | ||
| 11–13 | -0.04 | 13% | 27 Jun → | ||
| 5–13 | -0.07 | 9% | 27 Jun → | ||
| 5–13 | 0.06 | 13% | 27 Jun → | ||
| 13–10 | -0.00 | 2% | 8 Jun → | ||
| 13–5 | 0.10 | 18% | 30 May → | ||
| 7–13 | 0.00 | 11% | 30 May → | ||
| 13–3 | 0.04 | 20% | 17 May → | ||
| 13–9 | 0.03 | 12% | 17 May → | ||
| 13–8 | 0.08 | 12% | 17 May → | ||
| office | 8–13 | -0.02 | 8% | 22 Mar → | |
| 13–7 | -0.05 | 3% | 22 Mar → | ||
| 13–11 | 0.05 | 10% | 15 Mar → | ||
| 7–13 | 0.06 | 14% | 15 Mar → | ||
| 11–13 | 0.06 | 17% | 6 Mar → | ||
| 13–11 | -0.01 | 15% | 4 Mar → | ||
| 10–13 | -0.03 | 15% | 4 Mar → | ||
| 3–13 | -0.04 | 10% | 13 Feb → | ||
| 13–10 | 0.10 | 24% | 13 Feb → | ||
| 13–9 | 0.14 | 22% | 12 Feb → | ||
| office | 13–10 | 0.05 | 18% | 25 Jan → | |
| 15–15 | 0.04 | 22% | 18 Jan → | ||
| 10–13 | 0.07 | 21% | 18 Jan → | ||
| 14–16 | -0.03 | 6% | 11 Jan → | ||
| 13–8 | -0.03 | 17% | 10 Jan → | ||
| 7–13 | -0.05 | 16% | 9 Jan → | ||
| 12–16 | -0.03 | 6% | 8 Jan → | ||
| 13–8 | 0.10 | 18% | 8 Jan → | ||
| 13–4 | 0.04 | 19% | 7 Jan → | ||
| 13–9 | 0.04 | 5% | 5 Jan → | ||
| 9–13 | 0.02 | 25% | 4 Jan → | ||
| 13–5 | 0.06 | 17% | 4 Jan → | ||
| 7–13 | -0.00 | 10% | 4 Jan → | ||
| 12–16 | -0.03 | 10% | 4 Jan → | ||
| 2–13 | -0.06 | 17% | 4 Jan → | ||
| 13–11 | -0.02 | 12% | 3 Jan → | ||
| 13–10 | -0.04 | 16% | 3 Jan → | ||
| 7–13 | 0.06 | 10% | 3 Jan → | ||
| 13–9 | 0.00 | 15% | 28 Dec → | ||
| 13–16 | 0.02 | 22% | 28 Dec → | ||
| 13–8 | 0.07 | 15% | 28 Dec → | ||
| 10–13 | 0.02 | 14% | 28 Dec → | ||
| 13–4 | 0.07 | 11% | 25 Dec → | ||
| 4–9 | -0.10 | 6% | 12 Dec → | ||
| 7–13 | -0.00 | 17% | 11 Dec → | ||
| 10–13 | -0.02 | 16% | 11 Dec → | ||
| 16–13 | -0.03 | 13% | 10 Dec → | ||
| 3–13 | -0.05 | 14% | 10 Dec → | ||
| 13–5 | 0.05 | 26% | 10 Dec → | ||
| 6–13 | 0.00 | 16% | 9 Dec → | ||
| 13–9 | 0.01 | 8% | 8 Dec → | ||
| 7–13 | -0.06 | 14% | 5 Dec → | ||
| 13–10 | 0.02 | 16% | 12 Nov → | ||
| 13–6 | 0.00 | 12% | 12 Nov → | ||
| 13–6 | 0.02 | 22% | 11 Nov → |
Match data via Leetify.