Spicy Ravioli — CS2 Stats
UA76561198172777410[U:1:212511682]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 17,485
- Next: Pink band at 20,000 — 2,515 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue 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: +40pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 88% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; lower aim profile.
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
Reaction time. 585ms 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 5.4/10 (Developing), 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 | 18 | 10–8 | 56% | 0.00 | |
| C | 14 | 5–9 | 36% | -0.02 | |
| D | 12 | 3–9 | 25% | -0.04 | |
| D | 12 | 4–8 | 33% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.00 | |
| S | 9 | 6–3 | 67% | -0.01 | |
| — | 4 | 3–1 | 75% | -0.03 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| boulder | — | 2 | 1–1 | 50% | 0.03 |
| shelter | — | 2 | 2–0 | 100% | 0.06 |
| fachwerk | — | 1 | 1–0 | 100% | -0.10 |
| office | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 50% | 1.08 | 11.0 |
| Inferno | 2 | 100% | 2.18 | 16.5 |
| Dust2 | 2 | 100% | 2.04 | 20.0 |
| Nuke | 1 | 100% | 1.18 | 13.0 |
| Anubis | 1 | 100% | 1.17 | 14.0 |
| Ancient | 1 | 100% | 2.38 | 19.0 |
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 33.5871% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.02 | 8% | 28 Aug → | ||
| 13–4 | 0.07 | 15% | 27 Aug → | ||
| 13–9 | 0.03 | 12% | 27 Aug → | ||
| 11–13 | -0.02 | 13% | 27 Aug → | ||
| 13–1 | -0.02 | 18% | 26 Aug → | ||
| 12–12 | -0.04 | 17% | 26 Aug → | ||
| 13–6 | 0.04 | 3% | 25 Aug → | ||
| 10–2 | 0.01 | 9% | 25 Aug → | ||
| 15–15 | 0.02 | 13% | 25 Aug → | ||
| 13–4 | 0.03 | 15% | 21 Aug → | ||
| 16–13 | 0.02 | 14% | 18 Aug → | ||
| 13–10 | -0.03 | 15% | 18 Aug → | ||
| 3–13 | -0.00 | 13% | 15 Aug → | ||
| 3–13 | -0.02 | 21% | 15 Aug → | ||
| 11–13 | 0.02 | 15% | 6 Aug → | ||
| 13–11 | 0.04 | 19% | 6 Aug → | ||
| 7–13 | 0.02 | 12% | 6 Aug → | ||
| 10–13 | 0.03 | 19% | 5 Aug → | ||
| 9–13 | -0.03 | 21% | 5 Aug → | ||
| 11–13 | -0.08 | 16% | 5 Aug → | ||
| 11–13 | -0.05 | 15% | 4 Aug → | ||
| 2–7 | -0.01 | 16% | 30 Jul → | ||
| 8–13 | 0.02 | 23% | 30 Jul → | ||
| 13–3 | -0.02 | 25% | 29 Jul → | ||
| 4–13 | -0.11 | 13% | 28 Jul → | ||
| 13–8 | 0.02 | 21% | 28 Jul → | ||
| 8–13 | -0.03 | 15% | 26 Jul → | ||
| 13–7 | 0.01 | 17% | 17 Jul → | ||
| boulder | 12–12 | 0.05 | 20% | 17 Jul → | |
| boulder | 13–5 | 0.01 | 12% | 17 Jul → | |
| shelter | 13–3 | 0.05 | 12% | 15 Jul → | |
| fachwerk | 13–11 | -0.10 | 10% | 15 Jul → | |
| 15–15 | -0.05 | 11% | 14 Jul → | ||
| 13–8 | -0.02 | 18% | 14 Jul → | ||
| 11–13 | -0.05 | 14% | 14 Jul → | ||
| 13–10 | 0.02 | 17% | 13 Jul → | ||
| 12–16 | -0.05 | 9% | 11 Jul → | ||
| 0–5 | -0.04 | 20% | 11 Jul → | ||
| 13–6 | -0.06 | 16% | 10 Jul → | ||
| 2–13 | -0.00 | 33% | 10 Jul → | ||
| 9–13 | 0.01 | 21% | 10 Jul → | ||
| 13–8 | -0.00 | 25% | 10 Jul → | ||
| shelter | 13–8 | 0.07 | 24% | 9 Jul → | |
| 10–13 | -0.02 | 18% | 9 Jul → | ||
| 6–13 | -0.06 | 8% | 9 Jul → | ||
| office | 9–13 | -0.01 | 19% | 9 Jul → | |
| 13–11 | -0.01 | 19% | 9 Jul → | ||
| 13–8 | 0.01 | 11% | 9 Jul → | ||
| 13–11 | -0.05 | 8% | 8 Jul → | ||
| 11–13 | 0.02 | 19% | 8 Jul → | ||
| 8–13 | 0.01 | 13% | 6 Jul → | ||
| 12–12 | -0.07 | 7% | 6 Jul → | ||
| 12–16 | -0.08 | 4% | 1 Jul → | ||
| 11–13 | 0.04 | 10% | 1 Jul → | ||
| 16–13 | -0.08 | 23% | 30 Jun → | ||
| 13–16 | -0.03 | 10% | 30 Jun → | ||
| 8–13 | 0.02 | 20% | 30 Jun → | ||
| 9–13 | -0.05 | 7% | 29 Jun → | ||
| 13–11 | -0.08 | 16% | 25 Jun → | ||
| 13–4 | 0.04 | 23% | 25 Jun → | ||
| 13–2 | 0.06 | 18% | 25 Jun → | ||
| 9–13 | -0.01 | 19% | 25 Jun → | ||
| 11–13 | -0.03 | 19% | 24 Jun → | ||
| 10–13 | -0.03 | 11% | 16 Jun → | ||
| 13–9 | -0.02 | 29% | 16 Jun → | ||
| 6–13 | -0.06 | 20% | 14 Jun → | ||
| 13–10 | -0.03 | 20% | 14 Jun → | ||
| 13–5 | 0.04 | 21% | 11 Jun → | ||
| 13–3 | 0.09 | 17% | 11 Jun → | ||
| 13–10 | 0.07 | 17% | 11 Jun → | ||
| 13–8 | -0.04 | 23% | 11 Jun → | ||
| 9–13 | 0.02 | 18% | 11 Jun → | ||
| 13–5 | -0.01 | 20% | 11 Jun → | ||
| 10–13 | -0.04 | 11% | 11 Jun → | ||
| 11–13 | -0.01 | 19% | 10 Jun → | ||
| 6–13 | -0.01 | 19% | 10 Jun → | ||
| 13–2 | 0.07 | 20% | 9 Jun → | ||
| 2–7 | 0.04 | 20% | 9 Jun → | ||
| 13–5 | 0.03 | 16% | 8 Jun → | ||
| 3–13 | -0.06 | 4% | 8 Jun → | ||
| 0–13 | -0.07 | 0% | 8 Jun → | ||
| 10–13 | -0.02 | 6% | 7 Jun → | ||
| 13–11 | -0.01 | 15% | 7 Jun → | ||
| 6–13 | -0.02 | 28% | 7 Jun → | ||
| 13–6 | -0.01 | 21% | 7 Jun → | ||
| 6–13 | -0.06 | 19% | 7 Jun → | ||
| 8–13 | -0.04 | 20% | 6 Jun → | ||
| 13–4 | 0.09 | 31% | 6 Jun → | ||
| 15–15 | -0.03 | 9% | 6 Jun → | ||
| 13–8 | 0.02 | 24% | 6 Jun → | ||
| 11–13 | -0.02 | 18% | 6 Jun → | ||
| 13–5 | 0.04 | 16% | 6 Jun → | ||
| 13–5 | -0.05 | 13% | 5 Jun → | ||
| 11–13 | 0.03 | 21% | 5 Jun → | ||
| 13–16 | 0.02 | 16% | 5 Jun → | ||
| 13–11 | -0.05 | 14% | 4 Jun → | ||
| 13–8 | 0.01 | 19% | 3 Jun → | ||
| 5–13 | -0.04 | 10% | 3 Jun → | ||
| 13–5 | -0.01 | 13% | 3 Jun → | ||
| 11–13 | -0.04 | 8% | 2 Jun → |
Match data via Leetify.