Calma Respira — CS2 Stats
BR76561198030038915[U:1:69773187]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 |
|---|---|---|
| Headshot rate | 40.0% | 48.1% |
| Shot accuracy | 15.7% | 12.9% |
| Kill/death ratio | 1.06 | 1.08 |
| Match win rate | 44.4% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 95% playstyle similarity
Most alike: opening-fight frequency, 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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
CT openings. 65% 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 65% on CT to 47% 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 7.8/10 (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 | 30 | 18–12 | 60% | 0.02 | |
| D | 29 | 10–19 | 34% | 0.02 | |
| A | 20 | 11–9 | 55% | 0.03 | |
| S | 8 | 6–2 | 75% | 0.05 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 4 | 1–3 | 25% | 0.07 | |
| — | 2 | 1–1 | 50% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (34% over 29). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 80% | 1.39 | 22.4 |
| Inferno | 3 | 0% | 0.95 | 14.7 |
| Mirage | 3 | 67% | 1.28 | 18.3 |
| Ancient | 2 | 50% | 1.73 | 20.5 |
| Anubis | 1 | 0% | 1.00 | 13.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
34% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.05 | 16% | 28 Aug → | ||
| 7–13 | 0.05 | 20% | 28 Aug → | ||
| 13–2 | 0.10 | 33% | 28 Aug → | ||
| 13–4 | 0.08 | 22% | 26 Aug → | ||
| 13–6 | 0.08 | 21% | 26 Aug → | ||
| 6–13 | 0.00 | 36% | 25 Aug → | ||
| 13–4 | 0.12 | 21% | 24 Aug → | ||
| 3–13 | -0.02 | 27% | 23 Aug → | ||
| 0–5 | -0.11 | 0% | 23 Aug → | ||
| 16–14 | 0.04 | 18% | 21 Aug → | ||
| 7–13 | 0.05 | 19% | 21 Aug → | ||
| 13–3 | 0.11 | 11% | 20 Aug → | ||
| 13–9 | 0.10 | 16% | 20 Aug → | ||
| 13–9 | 0.01 | 15% | 20 Aug → | ||
| 13–6 | 0.01 | 13% | 20 Aug → | ||
| 14–16 | 0.14 | 17% | 20 Aug → | ||
| 8–13 | 0.01 | 18% | 20 Aug → | ||
| 13–6 | 0.09 | 9% | 19 Aug → | ||
| 5–13 | 0.00 | 23% | 18 Aug → | ||
| 13–8 | 0.07 | 20% | 17 Aug → | ||
| 13–5 | 0.08 | 23% | 17 Aug → | ||
| 4–13 | 0.02 | 10% | 16 Aug → | ||
| 11–13 | 0.01 | 14% | 16 Aug → | ||
| 13–7 | 0.07 | 16% | 16 Aug → | ||
| 13–7 | 0.04 | 4% | 15 Aug → | ||
| 13–11 | 0.04 | 14% | 15 Aug → | ||
| 13–8 | -0.03 | 18% | 15 Aug → | ||
| 13–7 | 0.10 | 29% | 14 Aug → | ||
| 7–13 | -0.01 | 14% | 13 Aug → | ||
| 19–16 | 0.09 | 14% | 12 Aug → | ||
| 8–13 | -0.03 | 19% | 12 Aug → | ||
| 13–4 | -0.01 | 20% | 11 Aug → | ||
| 10–13 | -0.03 | 17% | 11 Aug → | ||
| 6–13 | 0.03 | 15% | 10 Aug → | ||
| 13–6 | 0.00 | 10% | 10 Aug → | ||
| 13–6 | 0.05 | 20% | 10 Aug → | ||
| 2–13 | -0.00 | 9% | 10 Aug → | ||
| 13–7 | -0.00 | 11% | 9 Aug → | ||
| 10–13 | -0.02 | 10% | 9 Aug → | ||
| 13–6 | 0.04 | 18% | 7 Aug → | ||
| 11–13 | -0.04 | 19% | 30 Jul → | ||
| 3–13 | -0.02 | 23% | 27 Jul → | ||
| 17–19 | 0.01 | 11% | 24 Jul → | ||
| 10–13 | 0.07 | 15% | 23 Jul → | ||
| 11–13 | 0.01 | 27% | 22 Jul → | ||
| 11–13 | 0.01 | 15% | 22 Jul → | ||
| 13–10 | -0.05 | 14% | 22 Jul → | ||
| 13–7 | 0.00 | 20% | 20 Jul → | ||
| 13–4 | 0.04 | 21% | 20 Jul → | ||
| 19–17 | 0.09 | 27% | 20 Jul → | ||
| 5–13 | -0.06 | 20% | 20 Jul → | ||
| 13–7 | 0.09 | 24% | 19 Jul → | ||
| 13–3 | 0.14 | 52% | 17 Jul → | ||
| 13–10 | -0.04 | 10% | 16 Jul → | ||
| 13–10 | 0.01 | 30% | 15 Jul → | ||
| 3–13 | -0.00 | 19% | 15 Jul → | ||
| 13–5 | -0.01 | 15% | 15 Jul → | ||
| 13–7 | 0.08 | 31% | 13 Jul → | ||
| 9–13 | 0.02 | 15% | 13 Jul → | ||
| 3–13 | -0.03 | 11% | 12 Jul → | ||
| 5–13 | -0.06 | 23% | 12 Jul → | ||
| 10–13 | 0.02 | 30% | 8 Jul → | ||
| 3–13 | 0.06 | 35% | 8 Jul → | ||
| 13–2 | 0.09 | 13% | 7 Jul → | ||
| 13–8 | 0.12 | 26% | 4 Jul → | ||
| 13–7 | -0.03 | 18% | 3 Jul → | ||
| 10–13 | 0.00 | 14% | 3 Jul → | ||
| 13–10 | 0.04 | 23% | 2 Jul → | ||
| 13–5 | 0.05 | 16% | 1 Jul → | ||
| 8–13 | 0.03 | 13% | 1 Jul → | ||
| 13–10 | -0.01 | 9% | 1 Jul → | ||
| 12–16 | 0.00 | 16% | 30 Jun → | ||
| 10–13 | 0.04 | 19% | 28 Jun → | ||
| 5–13 | 0.01 | 28% | 28 Jun → | ||
| 7–13 | -0.01 | 31% | 28 Jun → | ||
| 11–13 | 0.03 | 30% | 26 Jun → | ||
| 7–13 | 0.02 | 22% | 26 Jun → | ||
| 4–13 | -0.00 | 25% | 25 Jun → | ||
| 4–13 | -0.06 | 18% | 25 Jun → | ||
| 13–16 | -0.02 | 13% | 25 Jun → | ||
| 5–13 | 0.01 | 26% | 25 Jun → | ||
| 13–3 | 0.01 | 21% | 25 Jun → | ||
| 13–6 | 0.05 | 22% | 24 Jun → | ||
| 8–13 | -0.05 | 20% | 24 Jun → | ||
| 11–13 | 0.02 | 23% | 24 Jun → | ||
| 12–12 | 0.03 | 25% | 22 Jun → | ||
| 13–6 | -0.01 | 15% | 22 Jun → | ||
| 11–13 | 0.05 | 19% | 21 Jun → | ||
| 20–22 | 0.02 | 16% | 19 Jun → | ||
| 8–13 | -0.03 | 14% | 19 Jun → | ||
| 10–13 | -0.01 | 30% | 17 Jun → | ||
| 10–13 | -0.03 | 21% | 16 Jun → | ||
| 13–2 | 0.05 | 18% | 15 Jun → | ||
| 4–13 | 0.00 | 15% | 11 Jun → | ||
| 13–3 | 0.08 | 10% | 10 Jun → | ||
| 9–13 | -0.00 | 15% | 5 Jun → | ||
| 13–8 | 0.10 | 14% | 5 Jun → | ||
| 13–10 | 0.05 | 13% | 5 Jun → | ||
| 13–8 | 0.13 | 27% | 4 Jun → | ||
| 13–7 | 0.09 | 17% | 3 Jun → |
Match data via Leetify.