w0nderful — CS2 Stats
PRONatus VincereUkraineAWPerSettings & gear profile →
76561199063068840[U:1:1102803112]
Rating over time
Faceit ELO
- At peak — 4,337
- Reached: 4,000 ELO · 3,500 ELO · 3,000 ELO · 2,500 ELO
- 4,000 ELO first seen 2026-08-28
- 3,500 ELO first seen 2026-08-28
Premier CS Rating
- At peak — 23,686
- Next: Red band at 25,000 — 1,314 to go
- Reached: Pink band · Purple band · Blue band · Light Blue band
- Pink band first seen 2026-08-28
- Purple band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 sh1ro 98% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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
Strengths
Aim. Aim score of 98 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 62% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.
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 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 27 | 16–11 | 59% | 0.02 | |
| A | 21 | 13–8 | 62% | 0.02 | |
| A | 18 | 11–7 | 61% | 0.00 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| A | 11 | 6–5 | 55% | 0.06 | |
| A | 9 | 5–4 | 56% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 546 | 61% | 1.58 | 21.8 |
| Anubis | 257 | 61% | 1.58 | 21.6 |
| Ancient | 232 | 55% | 1.52 | 21.6 |
| Dust2 | 201 | 62% | 1.59 | 21.2 |
| Nuke | 113 | 73% | 1.80 | 21.8 |
| Overpass | 40 | 68% | 1.51 | 19.8 |
| Inferno | 37 | 46% | 1.33 | 18.1 |
| Train | 35 | 66% | 1.69 | 23.7 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 39.3741% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.12 | 18% | 26 Aug → | ||
| 6–13 | -0.06 | 17% | 26 Aug → | ||
| 6–13 | 0.02 | 44% | 26 Aug → | ||
| 2–13 | -0.05 | 19% | 20 Aug → | ||
| 9–13 | 0.06 | 30% | 20 Aug → | ||
| 9–13 | -0.07 | 16% | 15 Aug → | ||
| 13–5 | 0.10 | 58% | 15 Aug → | ||
| 13–8 | 0.01 | 38% | 15 Aug → | ||
| 13–9 | 0.02 | 38% | 12 Aug → | ||
| 13–8 | 0.03 | 35% | 17 Jul → | ||
| 22–20 | 0.11 | 33% | 14 Jul → | ||
| 14–16 | -0.04 | 30% | 15 Jun → | ||
| 10–12 | -0.02 | 18% | 15 Jun → | ||
| 13–11 | 0.05 | 43% | 15 Jun → | ||
| 0–1 | -0.11 | 0% | 15 Jun → | ||
| 3–13 | -0.08 | 33% | 14 Jun → | ||
| 13–7 | -0.00 | 31% | 14 Jun → | ||
| 13–14 | 0.01 | 21% | 14 Jun → | ||
| 3–5 | 0.17 | 17% | 14 Jun → | ||
| 16–13 | 0.04 | 25% | 13 Jun → | ||
| 8–13 | -0.04 | 35% | 13 Jun → | ||
| 13–6 | 0.03 | 33% | 13 Jun → | ||
| 13–10 | 0.02 | 18% | 12 Jun → | ||
| 13–4 | 0.06 | 46% | 12 Jun → | ||
| 1–13 | -0.06 | 17% | 11 Jun → | ||
| 13–10 | 0.12 | 29% | 10 Jun → | ||
| 13–8 | 0.04 | 35% | 10 Jun → | ||
| 9–13 | -0.01 | 20% | 10 Jun → | ||
| 19–16 | 0.06 | 24% | 8 Jun → | ||
| 10–13 | 0.05 | 19% | 4 Jun → | ||
| 23–25 | -0.01 | 27% | 2 Jun → | ||
| 16–13 | 0.03 | 28% | 17 May → | ||
| 13–9 | 0.08 | 30% | 17 May → | ||
| 13–3 | 0.07 | 22% | 17 May → | ||
| 13–8 | -0.03 | 30% | 16 May → | ||
| 13–6 | 0.07 | 39% | 16 May → | ||
| 13–11 | 0.08 | 34% | 16 May → | ||
| 13–3 | 0.10 | 28% | 16 May → | ||
| 11–13 | -0.02 | 14% | 16 May → | ||
| 6–13 | 0.06 | 22% | 14 May → | ||
| 11–13 | 0.01 | 20% | 14 May → | ||
| 13–8 | 0.10 | 29% | 14 May → | ||
| 0–2 | -0.12 | 50% | 12 May → | ||
| 1–11 | -0.11 | 14% | 12 May → | ||
| 13–4 | 0.04 | 8% | 12 May → | ||
| 13–11 | 0.02 | 17% | 12 May → | ||
| 13–4 | 0.02 | 27% | 11 May → | ||
| 16–13 | 0.10 | 23% | 11 May → | ||
| 3–13 | -0.07 | 6% | 3 May → | ||
| 11–13 | 0.03 | 29% | 3 May → | ||
| 12–16 | 0.02 | 31% | 3 May → | ||
| 13–11 | -0.01 | 18% | 2 May → | ||
| 13–5 | 0.08 | 56% | 2 May → | ||
| 13–10 | 0.13 | 40% | 1 May → | ||
| 13–4 | 0.04 | 29% | 1 May → | ||
| 13–7 | 0.05 | 6% | 29 Apr → | ||
| 13–11 | 0.01 | 11% | 29 Apr → | ||
| 11–13 | -0.02 | 26% | 23 Apr → | ||
| 6–13 | 0.00 | 13% | 17 Apr → | ||
| 0–5 | -0.04 | 75% | 17 Apr → | ||
| 4–8 | 0.02 | 50% | 17 Apr → | ||
| 11–13 | 0.05 | 24% | 15 Apr → | ||
| 13–4 | 0.04 | 38% | 15 Apr → | ||
| 13–4 | 0.01 | 33% | 15 Apr → | ||
| 13–9 | 0.03 | 14% | 15 Apr → | ||
| 13–7 | 0.02 | 47% | 15 Apr → | ||
| 4–13 | -0.02 | 41% | 14 Apr → | ||
| 13–16 | 0.02 | 30% | 14 Apr → | ||
| 13–3 | 0.10 | 23% | 14 Apr → | ||
| 5–0 | 0.05 | 21% | 13 Apr → | ||
| 4–13 | -0.02 | 8% | 13 Apr → | ||
| 13–0 | 0.08 | 10% | 13 Apr → | ||
| 8–5 | 0.02 | 44% | 13 Apr → | ||
| 10–13 | -0.02 | 12% | 29 Mar → | ||
| 10–13 | -0.03 | 33% | 29 Mar → | ||
| 7–13 | -0.06 | 18% | 29 Mar → | ||
| 13–7 | 0.00 | 15% | 28 Mar → | ||
| 8–13 | -0.03 | 23% | 28 Mar → | ||
| 13–11 | 0.05 | 28% | 28 Mar → | ||
| 13–8 | 0.10 | 25% | 26 Mar → | ||
| 5–13 | -0.06 | 22% | 26 Mar → | ||
| 11–13 | 0.01 | 16% | 25 Mar → | ||
| 13–11 | 0.02 | 13% | 25 Mar → | ||
| 13–8 | -0.03 | 20% | 23 Mar → | ||
| 13–10 | 0.03 | 24% | 23 Mar → | ||
| 13–8 | 0.08 | 22% | 21 Mar → | ||
| 13–7 | 0.07 | 28% | 21 Mar → | ||
| 13–10 | 0.04 | 30% | 21 Mar → | ||
| 13–7 | 0.07 | 21% | 21 Mar → | ||
| 13–9 | 0.01 | 33% | 20 Mar → | ||
| 9–13 | 0.01 | 43% | 20 Mar → | ||
| 13–9 | -0.03 | 11% | 20 Mar → | ||
| 17–19 | -0.00 | 47% | 18 Mar → | ||
| 13–9 | 0.01 | 25% | 18 Mar → | ||
| 13–7 | 0.01 | 11% | 18 Mar → | ||
| 13–7 | 0.11 | 35% | 15 Mar → | ||
| 13–9 | 0.07 | 33% | 15 Mar → | ||
| 11–13 | 0.07 | 33% | 15 Mar → | ||
| 5–7 | 0.09 | 42% | 15 Mar → | ||
| 8–1 | 0.10 | 0% | 15 Mar → |
Match data via Leetify.