pyro-bunny — CS2 Stats
76561198040334463[U:1:80068735]✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=2,789), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 32.1% | 44.1% | 47.2% | 15.1% short |
| Shot accuracy | 3.9% | 11.4% | 12.7% | 8.8% short |
| Kill/death ratio | 0.92 | 1.03 | 1.09 | 0.17 short |
| Match win rate | 43.7% | 45.2% | 46.6% | 3.0% short |
This profile sits below the typical Pink band player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
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 83% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 47% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 649ms 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 4.0/10 (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 |
|---|---|---|---|---|---|
| C | 18 | 8–10 | 44% | -0.00 | |
| D | 15 | 5–10 | 33% | 0.01 | |
| B | 15 | 8–7 | 53% | 0.03 | |
| C | 15 | 6–9 | 40% | -0.00 | |
| D | 14 | 3–11 | 21% | -0.00 | |
| A | 11 | 6–5 | 55% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (21% over 14). 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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.3134% — below the 15% mark we flag
- 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 21.7856% — 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.
21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.06 | 10% | 26 Aug → | ||
| 3–13 | 0.06 | 22% | 23 Aug → | ||
| 13–10 | 0.03 | 14% | 20 Aug → | ||
| 13–10 | -0.01 | 9% | 20 Aug → | ||
| 13–11 | 0.01 | 13% | 16 Aug → | ||
| 11–13 | -0.01 | 15% | 16 Aug → | ||
| 7–13 | 0.01 | 9% | 16 Aug → | ||
| 13–6 | -0.02 | 15% | 16 Aug → | ||
| 5–13 | 0.05 | 9% | 16 Aug → | ||
| 2–13 | -0.02 | 12% | 16 Aug → | ||
| 5–8 | -0.03 | 5% | 16 Aug → | ||
| 12–12 | 0.04 | 24% | 16 Aug → | ||
| 7–13 | 0.00 | 23% | 14 Aug → | ||
| 13–6 | 0.05 | 6% | 14 Aug → | ||
| 4–13 | -0.07 | 5% | 14 Aug → | ||
| 13–9 | 0.03 | 9% | 13 Aug → | ||
| 5–13 | -0.02 | 5% | 13 Aug → | ||
| 4–12 | 0.05 | 7% | 13 Aug → | ||
| 4–13 | 0.05 | 14% | 12 Aug → | ||
| 11–13 | -0.01 | 11% | 12 Aug → | ||
| 9–13 | 0.04 | 14% | 12 Aug → | ||
| 3–13 | -0.04 | 17% | 11 Aug → | ||
| 11–13 | 0.00 | 20% | 11 Aug → | ||
| 1–9 | -0.03 | 25% | 10 Aug → | ||
| 13–11 | 0.03 | 8% | 10 Aug → | ||
| 10–13 | -0.02 | 7% | 10 Aug → | ||
| 4–13 | -0.00 | 10% | 9 Aug → | ||
| 13–1 | 0.04 | 10% | 9 Aug → | ||
| 4–13 | 0.08 | 15% | 9 Aug → | ||
| 13–2 | 0.00 | 6% | 7 Aug → | ||
| 13–3 | 0.06 | 15% | 7 Aug → | ||
| 13–6 | 0.16 | 12% | 5 Aug → | ||
| 12–12 | -0.02 | 10% | 5 Aug → | ||
| 9–13 | -0.00 | 6% | 5 Aug → | ||
| 13–9 | 0.02 | 14% | 5 Aug → | ||
| 9–13 | -0.08 | 6% | 5 Aug → | ||
| 10–13 | -0.07 | 7% | 5 Aug → | ||
| 12–12 | 0.03 | 11% | 5 Aug → | ||
| 11–13 | -0.05 | 10% | 5 Aug → | ||
| 13–9 | -0.06 | 20% | 5 Aug → | ||
| 12–12 | 0.03 | 7% | 28 Jul → | ||
| 13–9 | 0.06 | 5% | 28 Jul → | ||
| 5–13 | -0.12 | 7% | 28 Jul → | ||
| 12–12 | -0.00 | 15% | 28 Jul → | ||
| 13–10 | -0.04 | 15% | 28 Jul → | ||
| 13–4 | 0.03 | 12% | 28 Jul → | ||
| 12–12 | 0.01 | 11% | 28 Jul → | ||
| 13–10 | 0.14 | 8% | 28 Jul → | ||
| 10–13 | -0.06 | 18% | 28 Jul → | ||
| 7–13 | -0.00 | 5% | 27 Jul → | ||
| 13–4 | 0.23 | 10% | 27 Jul → | ||
| 11–13 | -0.04 | 6% | 27 Jul → | ||
| 9–13 | 0.05 | 13% | 27 Jul → | ||
| 8–4 | 0.03 | 24% | 27 Jul → | ||
| 7–13 | -0.05 | 9% | 27 Jul → | ||
| 9–13 | -0.05 | 7% | 26 Jul → | ||
| 13–5 | -0.01 | 9% | 26 Jul → | ||
| 8–13 | -0.04 | 4% | 26 Jul → | ||
| 13–8 | 0.02 | 10% | 26 Jul → | ||
| 4–13 | -0.09 | 7% | 26 Jul → | ||
| 13–7 | -0.01 | 12% | 26 Jul → | ||
| 10–13 | -0.03 | 4% | 26 Jul → | ||
| 3–13 | 0.04 | 14% | 26 Jul → | ||
| 9–13 | -0.01 | 11% | 26 Jul → | ||
| 6–13 | -0.01 | 9% | 26 Jul → | ||
| 4–13 | 0.02 | 5% | 26 Jul → | ||
| 11–13 | -0.06 | 13% | 26 Jul → | ||
| 7–13 | -0.05 | 8% | 26 Jul → | ||
| 13–5 | -0.03 | 7% | 26 Jul → | ||
| 13–11 | 0.03 | 4% | 26 Jul → | ||
| 2–13 | -0.04 | 8% | 26 Jul → | ||
| 13–2 | 0.03 | 21% | 25 Jul → | ||
| 7–13 | -0.05 | 12% | 25 Jul → | ||
| 13–2 | 0.04 | 13% | 25 Jul → | ||
| 8–13 | -0.00 | 14% | 25 Jul → | ||
| 13–4 | 0.14 | 12% | 25 Jul → | ||
| 2–13 | 0.00 | 13% | 25 Jul → | ||
| 8–13 | -0.01 | 9% | 25 Jul → | ||
| 13–1 | 0.00 | 11% | 25 Jul → | ||
| 11–13 | -0.01 | 7% | 23 Jul → | ||
| 13–10 | 0.03 | 19% | 23 Jul → | ||
| 13–11 | 0.04 | 7% | 23 Jul → | ||
| 13–11 | -0.00 | 13% | 23 Jul → | ||
| 13–4 | 0.03 | 14% | 22 Jul → | ||
| 13–9 | 0.01 | 5% | 22 Jul → | ||
| 13–11 | 0.06 | 6% | 22 Jul → | ||
| 13–8 | -0.01 | 7% | 22 Jul → | ||
| 3–13 | -0.08 | 5% | 22 Jul → | ||
| 3–13 | -0.08 | 11% | 22 Jul → | ||
| 13–8 | -0.02 | 2% | 22 Jul → | ||
| 6–13 | 0.05 | 9% | 22 Jul → | ||
| 11–13 | 0.03 | 12% | 21 Jul → | ||
| 7–13 | 0.03 | 7% | 21 Jul → | ||
| 1–8 | 0.11 | 3% | 21 Jul → | ||
| 13–3 | 0.04 | 10% | 21 Jul → | ||
| 13–8 | -0.03 | 12% | 21 Jul → | ||
| 13–10 | -0.02 | 12% | 21 Jul → | ||
| 12–12 | 0.01 | 12% | 20 Jul → | ||
| 13–8 | 0.02 | 14% | 20 Jul → | ||
| 13–7 | 0.02 | 23% | 16 Jul → |
Match data via Leetify.