0opaz — CS2 Stats
76561198433583979[U:1:473318251]✓ No bans
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 | 57.3% | 52.8% |
| Shot accuracy | 11.5% | 13.7% |
| Kill/death ratio | 0.83 | 1.08 |
| Match win rate | 47.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
High utility contribution
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 90% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 28 | 14–14 | 50% | -0.01 | |
| B | 28 | 13–15 | 46% | -0.01 | |
| S | 20 | 14–6 | 70% | 0.01 | |
| C | 14 | 6–8 | 43% | 0.01 | |
| A | 7 | 4–3 | 57% | -0.03 | |
| — | 1 | 1–0 | 100% | -0.05 | |
| debris | — | 1 | 1–0 | 100% | 0.28 |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 14). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1458 | 53% | 1.05 | 14.6 |
| Ancient | 1088 | 55% | 1.01 | 14.4 |
| Anubis | 511 | 52% | 0.96 | 14.2 |
| Inferno | 497 | 60% | 1.00 | 13.7 |
| Nuke | 423 | 50% | 0.97 | 13.9 |
| Train | 147 | 58% | 0.94 | 13.7 |
| Dust2 | 59 | 39% | 0.87 | 13.3 |
| Overpass | 18 | 28% | 0.80 | 11.8 |
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 27.9607% — 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.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.01 | 20% | 26 Aug → | ||
| 5–13 | -0.01 | 18% | 26 Aug → | ||
| 10–13 | -0.03 | 34% | 21 Aug → | ||
| 13–3 | -0.05 | 32% | 21 Aug → | ||
| 4–13 | -0.06 | 20% | 20 Aug → | ||
| 4–13 | -0.02 | 14% | 20 Aug → | ||
| 9–13 | -0.01 | 20% | 17 Aug → | ||
| 10–13 | -0.04 | 16% | 9 Aug → | ||
| 20–22 | 0.01 | 28% | 9 Aug → | ||
| 4–13 | -0.05 | 18% | 8 Aug → | ||
| 13–5 | 0.01 | 25% | 6 Aug → | ||
| 5–13 | -0.03 | 12% | 28 Jul → | ||
| debris | 9–1 | 0.28 | 21% | 14 Jul → | |
| 10–13 | -0.02 | 24% | 3 Jul → | ||
| 13–16 | -0.01 | 20% | 3 Jul → | ||
| 6–13 | -0.09 | 15% | 27 Jun → | ||
| 16–14 | 0.06 | 29% | 27 Jun → | ||
| 5–13 | -0.03 | 14% | 27 Jun → | ||
| 13–10 | -0.02 | 22% | 26 Jun → | ||
| 13–9 | -0.05 | 30% | 26 Jun → | ||
| 13–8 | -0.04 | 22% | 26 Jun → | ||
| 6–13 | -0.07 | 41% | 25 Jun → | ||
| 3–13 | -0.11 | 30% | 17 Jun → | ||
| 13–11 | -0.02 | 18% | 12 Jun → | ||
| 21–25 | 0.05 | 21% | 12 Jun → | ||
| 10–13 | -0.00 | 16% | 27 May → | ||
| 13–6 | 0.02 | 16% | 24 May → | ||
| 10–13 | 0.01 | 17% | 18 May → | ||
| 13–16 | -0.00 | 24% | 18 May → | ||
| 13–7 | 0.00 | 17% | 18 May → | ||
| 13–16 | -0.01 | 21% | 17 May → | ||
| 13–11 | -0.01 | 16% | 17 May → | ||
| 11–13 | -0.04 | 30% | 17 May → | ||
| 14–16 | -0.04 | 22% | 14 May → | ||
| 13–9 | 0.00 | 15% | 8 May → | ||
| 16–13 | -0.05 | 13% | 4 May → | ||
| 4–13 | -0.06 | 26% | 3 May → | ||
| 3–13 | -0.07 | 10% | 2 May → | ||
| 16–14 | -0.00 | 26% | 28 Apr → | ||
| 5–13 | 0.04 | 23% | 27 Apr → | ||
| 13–10 | 0.09 | 23% | 26 Apr → | ||
| 13–9 | -0.01 | 16% | 26 Apr → | ||
| 13–11 | -0.06 | 15% | 25 Apr → | ||
| 16–13 | 0.04 | 27% | 25 Apr → | ||
| 13–8 | 0.11 | 23% | 24 Apr → | ||
| 13–7 | 0.01 | 19% | 24 Apr → | ||
| 13–11 | -0.00 | 17% | 24 Apr → | ||
| 9–13 | -0.04 | 24% | 24 Apr → | ||
| 13–5 | -0.02 | 11% | 24 Apr → | ||
| 13–2 | 0.11 | 15% | 23 Apr → | ||
| 13–7 | 0.03 | 26% | 23 Apr → | ||
| 13–9 | -0.01 | 13% | 23 Apr → | ||
| 6–13 | -0.05 | 22% | 23 Apr → | ||
| 13–6 | 0.02 | 14% | 23 Apr → | ||
| 9–13 | 0.00 | 13% | 21 Apr → | ||
| 13–9 | 0.02 | 16% | 16 Apr → | ||
| 10–13 | 0.03 | 30% | 16 Apr → | ||
| 13–9 | 0.01 | 22% | 9 Apr → | ||
| 13–9 | 0.01 | 30% | 2 Apr → | ||
| 19–15 | 0.02 | 24% | 1 Apr → | ||
| 13–7 | 0.04 | 22% | 1 Apr → | ||
| 13–7 | 0.02 | 16% | 1 Apr → | ||
| 13–1 | -0.00 | 19% | 30 Mar → | ||
| 3–13 | -0.10 | 11% | 19 Mar → | ||
| 13–3 | 0.04 | 17% | 19 Mar → | ||
| 13–3 | 0.14 | 20% | 17 Mar → | ||
| 5–13 | -0.04 | 22% | 12 Mar → | ||
| 16–14 | -0.01 | 25% | 11 Mar → | ||
| 13–7 | -0.01 | 18% | 10 Mar → | ||
| 13–11 | 0.00 | 19% | 28 Feb → | ||
| 10–13 | -0.03 | 21% | 27 Feb → | ||
| 5–13 | -0.06 | 21% | 27 Feb → | ||
| 13–8 | 0.10 | 19% | 27 Feb → | ||
| 10–13 | -0.01 | 15% | 24 Feb → | ||
| 13–10 | 0.06 | 21% | 15 Feb → | ||
| 9–13 | -0.12 | 15% | 12 Feb → | ||
| 13–6 | 0.03 | 12% | 7 Feb → | ||
| 3–13 | -0.01 | 16% | 6 Feb → | ||
| 6–13 | -0.01 | 23% | 5 Feb → | ||
| 7–13 | 0.03 | 33% | 4 Feb → | ||
| 13–11 | -0.05 | 11% | 4 Feb → | ||
| 2–13 | -0.08 | 20% | 1 Feb → | ||
| 10–13 | -0.01 | 13% | 1 Feb → | ||
| 16–12 | 0.04 | 25% | 1 Feb → | ||
| 13–3 | 0.02 | 41% | 1 Feb → | ||
| 11–13 | -0.03 | 16% | 1 Feb → | ||
| 12–16 | -0.06 | 10% | 29 Jan → | ||
| 7–13 | -0.01 | 24% | 27 Jan → | ||
| 5–13 | -0.05 | 19% | 25 Jan → | ||
| 13–10 | 0.01 | 12% | 25 Jan → | ||
| 13–10 | 0.07 | 18% | 25 Jan → | ||
| 5–2 | -0.02 | 25% | 25 Jan → | ||
| 13–6 | 0.05 | 22% | 22 Jan → | ||
| 13–9 | 0.03 | 23% | 13 Jan → | ||
| 6–13 | -0.04 | 37% | 11 Jan → | ||
| 13–8 | 0.01 | 19% | 11 Jan → | ||
| 8–13 | -0.02 | 24% | 11 Jan → | ||
| 13–9 | -0.00 | 24% | 10 Jan → | ||
| 13–10 | -0.00 | 30% | 10 Jan → | ||
| 13–4 | 0.06 | 30% | 7 Jan → |
Match data via Leetify.
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