akuma — CS2 Stats
US76561198977777854[U:1:1017512126]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 65.7% | 48.1% | above |
| Shot accuracy | 10.4% | 12.9% | 2.4% short |
| Kill/death ratio | 1.69 | 1.08 | above |
| Match win rate | 44.3% | 46.5% | 2.1% short |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink 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: 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 Twistzz 92% 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 →
CSDB Rating breakdown
Composite 6.8/10 (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 |
|---|---|---|---|---|---|
| A | 20 | 11–9 | 55% | 0.01 | |
| C | 16 | 7–9 | 44% | 0.00 | |
| C | 14 | 6–8 | 43% | 0.01 | |
| B | 12 | 6–6 | 50% | -0.02 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| D | 11 | 3–8 | 27% | -0.04 | |
| D | 9 | 3–6 | 33% | -0.00 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (27% over 11). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 3 | 33% | 0.60 | 9.3 |
| Vertigo | 2 | 100% | 0.97 | 13.0 |
| Nuke | 2 | 50% | 1.33 | 19.0 |
| Dust2 | 2 | 50% | 0.84 | 11.5 |
| Cache | 2 | 50% | 1.44 | 22.5 |
| Inferno | 2 | 100% | 0.89 | 14.0 |
| Train | 2 | 50% | 1.14 | 14.5 |
| Mirage | 1 | 100% | 1.20 | 30.0 |
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.
- 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 36.3849% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.04 | 18% | 27 Aug → | ||
| 13–1 | -0.01 | 50% | 27 Aug → | ||
| 15–15 | -0.00 | 13% | 26 Aug → | ||
| 16–13 | -0.01 | 24% | 26 Aug → | ||
| 7–13 | -0.02 | 14% | 26 Aug → | ||
| 7–2 | 0.03 | 9% | 26 Aug → | ||
| 13–7 | 0.01 | 25% | 25 Aug → | ||
| 9–13 | -0.06 | 13% | 25 Aug → | ||
| 13–10 | 0.02 | 17% | 25 Aug → | ||
| 13–6 | 0.00 | 10% | 23 Aug → | ||
| 8–13 | -0.03 | 15% | 23 Aug → | ||
| 11–13 | -0.03 | 18% | 23 Aug → | ||
| 13–9 | 0.07 | 16% | 23 Aug → | ||
| 11–13 | 0.04 | 13% | 23 Aug → | ||
| 4–13 | -0.09 | 6% | 23 Aug → | ||
| 13–2 | 0.03 | 13% | 23 Aug → | ||
| 13–8 | -0.01 | 18% | 22 Aug → | ||
| 13–3 | 0.04 | 20% | 22 Aug → | ||
| 13–6 | 0.00 | 20% | 22 Aug → | ||
| 16–13 | 0.00 | 18% | 21 Aug → | ||
| 13–5 | 0.09 | 22% | 20 Aug → | ||
| 9–13 | 0.05 | 18% | 20 Aug → | ||
| 13–11 | 0.09 | 21% | 19 Aug → | ||
| 13–8 | 0.06 | 33% | 18 Aug → | ||
| 12–16 | -0.01 | 16% | 17 Aug → | ||
| 5–13 | -0.06 | 21% | 17 Aug → | ||
| 16–13 | 0.00 | 18% | 17 Aug → | ||
| 13–10 | -0.02 | 11% | 17 Aug → | ||
| 3–13 | -0.05 | 25% | 15 Aug → | ||
| 6–11 | -0.07 | 15% | 15 Aug → | ||
| 6–13 | 0.03 | 19% | 14 Aug → | ||
| 11–13 | 0.04 | 25% | 14 Aug → | ||
| 15–15 | -0.06 | 15% | 13 Aug → | ||
| 16–12 | -0.05 | 14% | 13 Aug → | ||
| 10–1 | 0.10 | 10% | 12 Aug → | ||
| 13–11 | -0.03 | 21% | 12 Aug → | ||
| 9–13 | -0.05 | 18% | 11 Aug → | ||
| 6–13 | 0.03 | 24% | 11 Aug → | ||
| 13–7 | 0.04 | 17% | 11 Aug → | ||
| 13–6 | -0.02 | 13% | 10 Aug → | ||
| 11–13 | -0.03 | 18% | 10 Aug → | ||
| 13–3 | 0.13 | 25% | 10 Aug → | ||
| 16–14 | 0.04 | 14% | 9 Aug → | ||
| 9–13 | 0.00 | 23% | 9 Aug → | ||
| 13–8 | -0.06 | 17% | 8 Aug → | ||
| 13–10 | 0.13 | 28% | 8 Aug → | ||
| 10–13 | 0.02 | 28% | 8 Aug → | ||
| 14–16 | 0.04 | 15% | 8 Aug → | ||
| 9–13 | 0.00 | 22% | 8 Aug → | ||
| 9–13 | -0.01 | 18% | 8 Aug → | ||
| 10–13 | -0.06 | 30% | 7 Aug → | ||
| 8–13 | 0.00 | 24% | 7 Aug → | ||
| 0–13 | -0.09 | 21% | 7 Aug → | ||
| 12–12 | 0.03 | 26% | 7 Aug → | ||
| 6–13 | -0.05 | 17% | 6 Aug → | ||
| 15–15 | -0.06 | 16% | 6 Aug → | ||
| 13–11 | 0.05 | 24% | 6 Aug → | ||
| 13–8 | -0.02 | 21% | 6 Aug → | ||
| 5–13 | -0.03 | 18% | 5 Aug → | ||
| 13–7 | 0.05 | 31% | 5 Aug → | ||
| 13–10 | -0.01 | 23% | 2 Aug → | ||
| 10–13 | 0.01 | 34% | 2 Aug → | ||
| 10–13 | -0.05 | 19% | 2 Aug → | ||
| 13–11 | -0.02 | 23% | 2 Aug → | ||
| 4–13 | -0.07 | 13% | 2 Aug → | ||
| 15–15 | 0.00 | 26% | 2 Aug → | ||
| 2–13 | -0.08 | 16% | 1 Aug → | ||
| 13–7 | 0.00 | 26% | 1 Aug → | ||
| 14–16 | -0.01 | 18% | 31 Jul → | ||
| 13–3 | 0.01 | 26% | 31 Jul → | ||
| 14–16 | 0.00 | 22% | 31 Jul → | ||
| 10–13 | 0.06 | 12% | 29 Jul → | ||
| 7–13 | -0.03 | 25% | 28 Jul → | ||
| 6–13 | -0.07 | 5% | 27 Jul → | ||
| 7–13 | 0.00 | 39% | 27 Jul → | ||
| 13–4 | 0.05 | 17% | 21 Jul → | ||
| 13–5 | 0.07 | 16% | 21 Jul → | ||
| 4–13 | 0.02 | 21% | 21 Jul → | ||
| 13–9 | -0.07 | 31% | 21 Jul → | ||
| 13–11 | -0.02 | 27% | 21 Jul → | ||
| 13–11 | -0.07 | 18% | 21 Jul → | ||
| 9–13 | -0.07 | 20% | 20 Jul → | ||
| 10–13 | 0.03 | 19% | 20 Jul → | ||
| 11–13 | -0.05 | 21% | 20 Jul → | ||
| 13–9 | 0.03 | 13% | 28 Jun → | ||
| 13–8 | 0.03 | 14% | 28 Jun → | ||
| 13–4 | 0.02 | 10% | 27 Jun → | ||
| 12–12 | -0.04 | 33% | 18 May → | ||
| 9–13 | -0.00 | 22% | 31 Mar → | ||
| 13–8 | 0.04 | 31% | 29 Mar → | ||
| 9–13 | 0.03 | 25% | 25 Jan → | ||
| 14–16 | -0.01 | 23% | 25 Jan → | ||
| 5–13 | -0.05 | 26% | 14 Jan → | ||
| 12–12 | 0.06 | 23% | 12 Jan → | ||
| 13–11 | 0.02 | 43% | 11 Jan → | ||
| 11–13 | -0.03 | 13% | 9 Jan → | ||
| 11–13 | -0.05 | 12% | 9 Jan → | ||
| 13–8 | 0.04 | 13% | 8 Jan → | ||
| 13–11 | -0.03 | 12% | 7 Jan → | ||
| 15–15 | 0.01 | 24% | 7 Jan → |
Match data via Leetify.