v0ltua — CS2 Stats
76561199163309986[U:1:1203044258]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 58.5% | 52.8% |
| Shot accuracy | 0.8% | 13.7% |
| Kill/death ratio | 1.32 | 1.08 |
| Match win rate | 46.9% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
T-side openings. Opening success drops from 49% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 637ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 32 | 17–15 | 53% | 0.02 | |
| C | 19 | 7–12 | 37% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| S | 9 | 6–3 | 67% | 0.05 | |
| A | 8 | 5–3 | 63% | -0.00 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| — | 3 | 2–1 | 67% | 0.06 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 245 | 51% | 1.16 | 17.1 |
| Dust2 | 168 | 52% | 1.20 | 17.1 |
| Ancient | 123 | 52% | 1.09 | 16.3 |
| Nuke | 90 | 53% | 1.16 | 17.1 |
| Anubis | 81 | 49% | 1.16 | 17.8 |
| Inferno | 61 | 48% | 1.18 | 17.2 |
| Overpass | 42 | 48% | 1.20 | 17.1 |
| Train | 16 | 56% | 1.21 | 16.8 |
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 27.4276% — 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.
37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.03 | 21% | 23 Aug → | ||
| 6–9 | -0.24 | 10% | 10 Aug → | ||
| 9–7 | 0.10 | 16% | 29 Jul → | ||
| 4–9 | -0.09 | 31% | 29 Jul → | ||
| 13–7 | -0.08 | 29% | 15 Jul → | ||
| 13–4 | 0.13 | 25% | 10 Jul → | ||
| 4–13 | -0.08 | 23% | 6 Jun → | ||
| 13–9 | 0.07 | 9% | 3 Jun → | ||
| 10–13 | -0.04 | 17% | 28 May → | ||
| 6–13 | -0.02 | 22% | 13 May → | ||
| 17–19 | -0.01 | 23% | 9 May → | ||
| 13–11 | -0.04 | 12% | 8 May → | ||
| 7–13 | -0.02 | 19% | 7 May → | ||
| 12–16 | -0.00 | 21% | 6 May → | ||
| 7–13 | 0.03 | 26% | 4 May → | ||
| 13–1 | 0.03 | 22% | 2 May → | ||
| 13–5 | 0.06 | 31% | 29 Apr → | ||
| 10–13 | 0.01 | 18% | 27 Apr → | ||
| 13–11 | 0.05 | 21% | 26 Apr → | ||
| 13–6 | 0.03 | 13% | 25 Apr → | ||
| 13–4 | 0.02 | 11% | 24 Apr → | ||
| 13–10 | 0.05 | 16% | 22 Apr → | ||
| 9–13 | -0.05 | 22% | 22 Apr → | ||
| 9–4 | -0.00 | 33% | 20 Apr → | ||
| 16–14 | 0.06 | 20% | 18 Apr → | ||
| 13–3 | 0.01 | 15% | 18 Apr → | ||
| 13–10 | -0.03 | 20% | 17 Apr → | ||
| 9–13 | 0.03 | 19% | 17 Apr → | ||
| 7–13 | 0.05 | 30% | 16 Apr → | ||
| 9–3 | 0.02 | 18% | 16 Apr → | ||
| 7–13 | 0.02 | 31% | 15 Apr → | ||
| 10–13 | 0.02 | 20% | 15 Apr → | ||
| 13–6 | 0.05 | 10% | 14 Apr → | ||
| 9–13 | -0.02 | 24% | 13 Apr → | ||
| 13–9 | -0.01 | 15% | 12 Apr → | ||
| 13–2 | 0.10 | 12% | 11 Apr → | ||
| 1–13 | -0.08 | 9% | 8 Apr → | ||
| 1–13 | -0.08 | 16% | 7 Apr → | ||
| 8–13 | -0.00 | 14% | 6 Apr → | ||
| 9–13 | -0.00 | 14% | 5 Apr → | ||
| 7–13 | 0.03 | 24% | 4 Apr → | ||
| 13–8 | 0.08 | 17% | 31 Mar → | ||
| 13–1 | 0.09 | 13% | 30 Mar → | ||
| 13–2 | 0.03 | 23% | 27 Mar → | ||
| 13–8 | -0.03 | 14% | 26 Mar → | ||
| 9–13 | 0.05 | 16% | 24 Mar → | ||
| 14–16 | -0.07 | 10% | 15 Mar → | ||
| 3–13 | -0.05 | 6% | 14 Mar → | ||
| 11–13 | 0.03 | 21% | 13 Mar → | ||
| 10–13 | 0.00 | 20% | 11 Mar → | ||
| 13–6 | -0.04 | 4% | 11 Mar → | ||
| 13–1 | 0.12 | 16% | 10 Mar → | ||
| 4–13 | 0.01 | 16% | 10 Mar → | ||
| 13–6 | 0.06 | 15% | 9 Mar → | ||
| 13–7 | 0.04 | 29% | 9 Mar → | ||
| 13–8 | 0.08 | 15% | 8 Mar → | ||
| 13–4 | 0.09 | 18% | 8 Mar → | ||
| 13–9 | 0.20 | 12% | 8 Mar → | ||
| 14–16 | 0.12 | 17% | 8 Mar → | ||
| 13–11 | -0.10 | 0% | 8 Mar → | ||
| 2–2 | 0.00 | 0% | 7 Mar → | ||
| 13–1 | 0.12 | 23% | 7 Mar → | ||
| 13–11 | 0.12 | 19% | 7 Mar → | ||
| 13–5 | 0.05 | 16% | 7 Mar → | ||
| 9–13 | 0.09 | 14% | 6 Mar → | ||
| 7–13 | 0.01 | 15% | 5 Mar → | ||
| 11–13 | -0.03 | 21% | 5 Mar → | ||
| 13–8 | 0.10 | 20% | 5 Mar → | ||
| 13–2 | -0.00 | 28% | 5 Mar → | ||
| 13–11 | 0.00 | 26% | 5 Mar → | ||
| 16–12 | 0.07 | 16% | 4 Mar → | ||
| 11–13 | 0.05 | 14% | 4 Mar → | ||
| 8–13 | -0.00 | 16% | 4 Mar → | ||
| 7–13 | -0.05 | 14% | 4 Mar → | ||
| 13–9 | 0.02 | 20% | 3 Mar → | ||
| 5–13 | -0.06 | 22% | 3 Mar → | ||
| 13–1 | -0.00 | 21% | 2 Mar → | ||
| 11–13 | -0.03 | 15% | 26 Feb → | ||
| 13–11 | 0.02 | 9% | 26 Feb → | ||
| 13–11 | -0.05 | 7% | 26 Feb → | ||
| 13–16 | -0.05 | 8% | 26 Feb → | ||
| 13–7 | -0.01 | 10% | 25 Feb → | ||
| 13–10 | -0.02 | 21% | 25 Feb → | ||
| 7–9 | -0.06 | 9% | 25 Feb → | ||
| 16–19 | -0.01 | 21% | 24 Feb → | ||
| 8–13 | 0.05 | 21% | 24 Feb → | ||
| 13–16 | 0.02 | 20% | 24 Feb → | ||
| 6–13 | 0.07 | 29% | 24 Feb → | ||
| 5–13 | -0.01 | 18% | 24 Feb → | ||
| 13–8 | 0.15 | 17% | 24 Feb → | ||
| 13–9 | 0.02 | 25% | 23 Feb → | ||
| 11–13 | -0.02 | 14% | 22 Feb → | ||
| 9–3 | 0.09 | 31% | 14 Feb → | ||
| 7–9 | -0.04 | 19% | 14 Feb → | ||
| 6–13 | -0.02 | 25% | 14 Feb → | ||
| 9–2 | 0.32 | 38% | 14 Feb → | ||
| 2–2 | 0.13 | 50% | 14 Feb → | ||
| 3–13 | -0.06 | 67% | 11 Feb → | ||
| 13–7 | 0.00 | 27% | 8 Feb → | ||
| 8–13 | -0.03 | 20% | 8 Feb → |
Match data via Leetify.