Onyx — CS2 Stats
76561198841108120[U:1:880842392]Steam profile ↗✓ No bans
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 | 33.0% | 48.1% | 15.1% short |
| Shot accuracy | 13.1% | 12.9% | meets |
| Kill/death ratio | 1.01 | 1.08 | 0.08 short |
| Match win rate | 42.5% | 46.5% | 4.0% short |
This profile matches the typical Pink band player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. 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 · +0.06 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 95% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| C | 36 | 13–23 | 36% | 0.00 | |
| A | 28 | 17–11 | 61% | 0.01 | |
| B | 17 | 9–8 | 53% | 0.03 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.05 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.07 | |
| eldorado | — | 1 | 0–1 | 0% | -0.12 |
| office | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (36% over 36). 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.15 | 38% | 10 Aug → | ||
| 13–7 | 0.06 | 19% | 3 Aug → | ||
| 10–13 | -0.05 | 9% | 3 Aug → | ||
| 5–13 | 0.06 | 21% | 2 Aug → | ||
| 13–10 | 0.05 | 15% | 2 Aug → | ||
| 13–9 | 0.03 | 13% | 30 Jul → | ||
| 13–10 | 0.04 | 31% | 30 Jul → | ||
| 4–13 | -0.05 | 12% | 28 Jul → | ||
| 13–2 | -0.03 | 0% | 27 Jul → | ||
| 13–3 | 0.10 | 22% | 27 Jul → | ||
| 6–9 | -0.07 | 23% | 25 Jul → | ||
| 0–9 | -0.29 | 9% | 25 Jul → | ||
| 13–4 | 0.03 | 67% | 24 Jul → | ||
| 11–13 | 0.01 | 24% | 24 Jul → | ||
| 13–5 | 0.08 | 10% | 24 Jul → | ||
| 7–13 | 0.02 | 9% | 21 Jul → | ||
| 13–1 | 0.01 | 8% | 19 Jul → | ||
| 13–7 | 0.02 | 6% | 19 Jul → | ||
| 13–10 | -0.03 | 8% | 19 Jul → | ||
| 13–3 | 0.00 | 22% | 18 Jul → | ||
| 10–13 | -0.07 | 17% | 17 Jul → | ||
| 13–9 | -0.02 | 4% | 17 Jul → | ||
| 11–13 | 0.01 | 28% | 17 Jul → | ||
| 5–9 | 0.04 | 6% | 17 Jul → | ||
| eldorado | 5–9 | -0.12 | 25% | 17 Jul → | |
| 8–13 | -0.00 | 24% | 15 Jul → | ||
| 5–13 | -0.01 | 14% | 15 Jul → | ||
| 13–6 | 0.08 | 16% | 14 Jul → | ||
| 4–13 | 0.01 | 16% | 12 Jul → | ||
| 13–4 | 0.04 | 17% | 11 Jul → | ||
| 11–13 | 0.01 | 18% | 11 Jul → | ||
| 13–5 | -0.02 | 18% | 11 Jul → | ||
| 13–7 | 0.09 | 16% | 10 Jul → | ||
| 4–13 | -0.01 | 6% | 10 Jul → | ||
| 12–12 | -0.05 | 18% | 8 Jul → | ||
| 1–13 | -0.06 | 15% | 8 Jul → | ||
| 11–13 | 0.05 | 15% | 5 Jul → | ||
| 14–16 | -0.01 | 10% | 5 Jul → | ||
| 9–13 | -0.08 | 10% | 4 Jul → | ||
| 6–13 | -0.03 | 0% | 4 Jul → | ||
| 13–16 | -0.05 | 11% | 3 Jul → | ||
| 11–13 | -0.04 | 0% | 3 Jul → | ||
| 13–10 | -0.01 | 21% | 3 Jul → | ||
| 8–13 | -0.01 | 26% | 2 Jul → | ||
| 4–13 | -0.01 | 13% | 2 Jul → | ||
| 13–4 | -0.00 | 27% | 1 Jul → | ||
| 13–8 | -0.03 | 2% | 1 Jul → | ||
| 5–9 | -0.07 | 18% | 27 Jun → | ||
| 9–5 | 0.04 | 13% | 27 Jun → | ||
| 9–7 | 0.10 | 15% | 27 Jun → | ||
| 6–13 | 0.02 | 15% | 27 Jun → | ||
| 13–4 | 0.05 | 16% | 27 Jun → | ||
| 10–13 | -0.02 | 18% | 26 Jun → | ||
| 13–3 | 0.01 | 50% | 26 Jun → | ||
| 13–1 | 0.07 | 26% | 25 Jun → | ||
| 8–13 | -0.01 | 11% | 20 Jun → | ||
| 15–15 | 0.05 | 22% | 16 Jun → | ||
| 13–3 | 0.07 | 22% | 16 Jun → | ||
| 13–8 | 0.09 | 12% | 16 Jun → | ||
| 13–8 | -0.00 | 14% | 16 Jun → | ||
| 13–6 | 0.11 | 15% | 16 Jun → | ||
| 7–13 | -0.02 | 19% | 15 Jun → | ||
| 13–10 | -0.01 | 13% | 15 Jun → | ||
| 10–13 | -0.02 | 18% | 15 Jun → | ||
| 8–13 | -0.07 | 31% | 14 Jun → | ||
| 13–7 | -0.03 | 19% | 13 Jun → | ||
| 13–2 | 0.04 | 26% | 13 Jun → | ||
| 13–11 | 0.01 | 26% | 12 Jun → | ||
| 16–14 | 0.01 | 8% | 12 Jun → | ||
| 13–9 | 0.06 | 28% | 12 Jun → | ||
| 6–13 | -0.03 | 38% | 12 Jun → | ||
| 13–7 | 0.08 | 10% | 8 Jun → | ||
| 5–13 | -0.02 | 16% | 8 Jun → | ||
| 4–13 | 0.01 | 17% | 7 Jun → | ||
| 13–7 | 0.06 | 22% | 29 May → | ||
| office | 7–13 | -0.02 | 27% | 29 May → | |
| 7–13 | -0.02 | 11% | 29 May → | ||
| 13–3 | 0.06 | 17% | 29 May → | ||
| 13–7 | -0.00 | 12% | 29 May → | ||
| 9–13 | -0.03 | 23% | 29 May → | ||
| 13–2 | 0.06 | 6% | 29 May → | ||
| 4–13 | -0.04 | 6% | 24 May → | ||
| 15–15 | 0.04 | 13% | 24 May → | ||
| 10–13 | 0.01 | 9% | 23 May → | ||
| 13–7 | 0.05 | 14% | 23 May → | ||
| 11–13 | 0.05 | 7% | 23 May → | ||
| 9–7 | -0.05 | 26% | 23 May → | ||
| 11–13 | 0.04 | 7% | 22 May → | ||
| 13–8 | 0.08 | 13% | 22 May → | ||
| 4–13 | -0.01 | 16% | 19 May → | ||
| 9–13 | -0.04 | 19% | 16 May → | ||
| 7–13 | -0.04 | 21% | 16 May → | ||
| 13–6 | -0.00 | 26% | 12 May → | ||
| 4–13 | -0.01 | 28% | 12 May → | ||
| 15–15 | 0.04 | 13% | 10 May → | ||
| 1–13 | -0.04 | 22% | 10 May → | ||
| 13–8 | 0.04 | 17% | 10 May → | ||
| 13–6 | 0.07 | 13% | 10 May → | ||
| 11–13 | -0.04 | 16% | 3 May → | ||
| 13–3 | 0.16 | 14% | 3 May → |
Match data via Leetify.