Billie "ThundeR" Eilish — CS2 Stats
76561198133300387[U:1:173034659]
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=5,002), 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 | 41.8% | 44.2% | 47.1% | 5.3% short |
| Shot accuracy | 9.4% | 11.6% | 12.8% | 3.4% short |
| Kill/death ratio | 0.94 | 1.03 | 1.08 | 0.15 short |
| Match win rate | 40.5% | 45.2% | 46.6% | 6.1% 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: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 b1t 89% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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 →
Strengths & areas to improve
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 663ms 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 5.8/10 (Solid), 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 | 27 | 10–17 | 37% | 0.06 | |
| B | 26 | 13–13 | 50% | 0.03 | |
| C | 23 | 10–13 | 43% | -0.00 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| S | 5 | 4–1 | 80% | 0.04 | |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Vertigo 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 resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 49 | 57% | 1.37 | 17.8 |
| Dust2 | 48 | 52% | 1.24 | 17.3 |
| Inferno | 26 | 42% | 1.19 | 14.1 |
| Nuke | 20 | 70% | 1.26 | 17.9 |
| Ancient | 16 | 44% | 1.04 | 16.4 |
| Anubis | 15 | 73% | 1.56 | 19.6 |
| Overpass | 8 | 75% | 1.48 | 16.9 |
| Train | 1 | 0% | 0.67 | 12.0 |
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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–4 | 0.14 | 19% | 28 Aug → | ||
| 4–9 | -0.05 | 8% | 28 Aug → | ||
| 5–9 | 0.02 | 36% | 27 Aug → | ||
| 7–9 | -0.05 | 25% | 27 Aug → | ||
| 6–9 | -0.03 | 24% | 25 Aug → | ||
| 9–2 | 0.38 | 36% | 25 Aug → | ||
| 5–9 | -0.09 | 41% | 25 Aug → | ||
| 9–6 | 0.13 | 24% | 25 Aug → | ||
| 8–13 | 0.06 | 22% | 24 Aug → | ||
| 2–13 | -0.07 | 24% | 16 Aug → | ||
| 11–13 | 0.02 | 18% | 16 Aug → | ||
| 4–9 | -0.07 | 14% | 15 Aug → | ||
| 9–4 | 0.15 | 44% | 15 Aug → | ||
| 8–8 | 0.06 | 37% | 15 Aug → | ||
| 7–13 | -0.02 | 20% | 15 Aug → | ||
| 9–13 | 0.03 | 27% | 15 Aug → | ||
| 8–8 | 0.09 | 28% | 14 Aug → | ||
| 7–9 | 0.08 | 22% | 14 Aug → | ||
| 13–6 | -0.00 | 29% | 13 Aug → | ||
| 3–13 | 0.03 | 19% | 13 Aug → | ||
| 13–11 | 0.06 | 25% | 13 Aug → | ||
| 15–15 | 0.08 | 16% | 11 Aug → | ||
| 8–13 | -0.02 | 22% | 9 Aug → | ||
| 13–7 | 0.01 | 13% | 8 Aug → | ||
| 15–15 | -0.06 | 15% | 8 Aug → | ||
| 16–13 | -0.04 | 22% | 7 Aug → | ||
| 7–9 | -0.08 | 11% | 6 Aug → | ||
| 9–7 | 0.16 | 13% | 6 Aug → | ||
| 5–9 | 0.01 | 21% | 6 Aug → | ||
| 13–9 | 0.07 | 18% | 5 Aug → | ||
| 0–8 | -0.05 | 28% | 5 Aug → | ||
| 16–13 | 0.04 | 12% | 5 Aug → | ||
| 13–11 | 0.05 | 14% | 5 Aug → | ||
| 13–11 | 0.04 | 13% | 4 Aug → | ||
| 13–2 | 0.08 | 16% | 4 Aug → | ||
| 13–11 | -0.07 | 16% | 4 Aug → | ||
| 9–13 | -0.03 | 21% | 4 Aug → | ||
| 15–15 | -0.00 | 14% | 3 Aug → | ||
| 11–0 | 0.08 | 21% | 3 Aug → | ||
| 13–9 | 0.07 | 17% | 3 Aug → | ||
| 9–7 | 0.04 | 24% | 3 Aug → | ||
| 8–8 | 0.03 | 31% | 3 Aug → | ||
| 7–9 | 0.08 | 44% | 3 Aug → | ||
| 13–9 | 0.03 | 27% | 2 Aug → | ||
| 4–13 | -0.01 | 28% | 1 Aug → | ||
| 8–13 | -0.00 | 17% | 30 Jul → | ||
| 9–13 | -0.00 | 32% | 30 Jul → | ||
| 13–4 | 0.13 | 30% | 30 Jul → | ||
| 13–1 | 0.01 | 13% | 30 Jul → | ||
| 6–13 | 0.00 | 22% | 27 Jul → | ||
| 1–13 | 0.01 | 33% | 27 Jul → | ||
| 6–13 | -0.01 | 37% | 27 Jul → | ||
| 13–7 | 0.10 | 17% | 26 Jul → | ||
| 7–11 | -0.01 | 23% | 26 Jul → | ||
| 5–9 | -0.01 | 20% | 26 Jul → | ||
| 9–4 | 0.16 | 25% | 26 Jul → | ||
| 6–9 | 0.01 | 13% | 26 Jul → | ||
| 9–1 | 0.26 | 23% | 26 Jul → | ||
| 9–7 | 0.09 | 29% | 26 Jul → | ||
| 0–9 | -0.27 | 29% | 26 Jul → | ||
| 8–8 | 0.05 | 16% | 25 Jul → | ||
| 13–3 | 0.07 | 27% | 25 Jul → | ||
| 13–4 | 0.02 | 28% | 24 Jul → | ||
| 1–9 | -0.09 | 29% | 24 Jul → | ||
| 8–8 | -0.05 | 23% | 24 Jul → | ||
| 9–4 | 0.08 | 17% | 21 Jul → | ||
| 2–9 | -0.05 | 38% | 21 Jul → | ||
| 9–7 | 0.09 | 14% | 21 Jul → | ||
| 9–2 | 0.24 | 53% | 21 Jul → | ||
| 13–10 | -0.01 | 23% | 21 Jul → | ||
| 1–6 | -0.06 | 19% | 21 Jul → | ||
| 13–6 | 0.02 | 14% | 21 Jul → | ||
| 9–1 | 0.12 | 14% | 19 Jul → | ||
| 9–6 | -0.06 | 15% | 19 Jul → | ||
| 8–8 | 0.06 | 27% | 18 Jul → | ||
| 6–13 | -0.03 | 19% | 18 Jul → | ||
| 13–4 | 0.05 | 37% | 18 Jul → | ||
| 9–3 | 0.13 | 31% | 17 Jul → | ||
| 9–7 | 0.11 | 24% | 17 Jul → | ||
| 7–9 | 0.04 | 23% | 17 Jul → | ||
| 2–9 | -0.09 | 21% | 17 Jul → | ||
| 9–2 | 0.19 | 28% | 17 Jul → | ||
| 13–7 | 0.09 | 29% | 15 Jul → | ||
| 13–8 | -0.03 | 19% | 15 Jul → | ||
| 5–13 | -0.01 | 25% | 15 Jul → | ||
| 12–12 | -0.03 | 16% | 8 Jul → | ||
| 8–13 | -0.04 | 12% | 8 Jul → | ||
| 13–9 | -0.05 | 24% | 8 Jul → | ||
| 10–13 | 0.06 | 36% | 3 Jul → | ||
| 7–13 | -0.01 | 28% | 2 Jul → | ||
| 13–6 | 0.03 | 19% | 1 Jul → | ||
| 13–6 | 0.08 | 23% | 1 Jul → | ||
| 2–13 | 0.06 | 23% | 1 Jul → | ||
| 8–13 | 0.06 | 20% | 1 Jul → | ||
| 13–5 | -0.00 | 16% | 30 Jun → | ||
| 9–13 | 0.03 | 30% | 30 Jun → | ||
| 13–2 | 0.08 | 14% | 30 Jun → | ||
| 6–13 | -0.02 | 21% | 30 Jun → | ||
| 7–13 | -0.08 | 22% | 29 Jun → | ||
| 13–16 | 0.03 | 23% | 29 Jun → |
Match data via Leetify.