Brioche 🍔 — CS2 Stats
76561199240642527[U:1:1280376799]
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 | Level 2 median | Level 3 median | vs Level 3 |
|---|---|---|---|---|
| Headshot rate | 36.0% | 42.1% | 42.1% | 6.1% short |
| Shot accuracy | 2.3% | 12.9% | 12.1% | 9.8% short |
| Kill/death ratio | 0.68 | 1.00 | 0.99 | 0.31 short |
| Match win rate | 47.0% | 42.9% | 43.9% | above |
This profile matches the typical Level 3 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 3 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 · +0.00 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 66% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower opening-fight frequency; 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
Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 26 | 11–15 | 42% | -0.05 | |
| D | 19 | 4–15 | 21% | -0.05 | |
| B | 15 | 7–8 | 47% | -0.04 | |
| B | 13 | 7–6 | 54% | -0.04 | |
| B | 11 | 5–6 | 45% | -0.03 | |
| D | 10 | 3–7 | 30% | -0.05 | |
| D | 6 | 2–4 | 33% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (21% over 19). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 3 | 33% | 0.45 | 8.0 |
| Ancient | 2 | 0% | 0.87 | 14.0 |
| Mirage | 2 | 0% | 0.75 | 9.5 |
| Inferno | 1 | 0% | 0.65 | 13.0 |
| Anubis | 1 | 100% | 0.71 | 12.0 |
| Nuke | 1 | 100% | 0.77 | 10.0 |
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.
- 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 11.322% — 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 19.3612% — 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 19 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.05 | 14% | 28 Aug → | ||
| 13–9 | -0.01 | 14% | 27 Aug → | ||
| 11–13 | -0.06 | 6% | 27 Aug → | ||
| 10–13 | -0.03 | 32% | 24 Aug → | ||
| 13–8 | -0.02 | 15% | 24 Aug → | ||
| 6–13 | -0.02 | 11% | 23 Aug → | ||
| 5–12 | -0.01 | 9% | 22 Aug → | ||
| 10–13 | -0.10 | 7% | 19 Aug → | ||
| 13–10 | -0.01 | 5% | 18 Aug → | ||
| 13–11 | -0.04 | 9% | 17 Aug → | ||
| 13–10 | -0.01 | 5% | 17 Aug → | ||
| 13–10 | -0.09 | 9% | 16 Aug → | ||
| 10–13 | -0.01 | 28% | 13 Aug → | ||
| 13–6 | -0.04 | 17% | 13 Aug → | ||
| 11–13 | -0.02 | 21% | 12 Aug → | ||
| 13–16 | -0.06 | 3% | 11 Aug → | ||
| 13–9 | -0.05 | 10% | 11 Aug → | ||
| 9–13 | -0.04 | 5% | 10 Aug → | ||
| 13–16 | -0.03 | 16% | 10 Aug → | ||
| 12–16 | -0.02 | 11% | 9 Aug → | ||
| 6–13 | -0.06 | 2% | 8 Aug → | ||
| 7–13 | -0.06 | 0% | 8 Aug → | ||
| 7–13 | -0.05 | 3% | 7 Aug → | ||
| 13–9 | 0.01 | 13% | 6 Aug → | ||
| 9–13 | -0.05 | 10% | 6 Aug → | ||
| 13–9 | -0.02 | 8% | 4 Aug → | ||
| 6–13 | -0.03 | 8% | 4 Aug → | ||
| 10–13 | -0.10 | 24% | 3 Aug → | ||
| 13–6 | -0.12 | 16% | 3 Aug → | ||
| 11–13 | -0.08 | 6% | 2 Aug → | ||
| 6–13 | -0.06 | 0% | 2 Aug → | ||
| 13–11 | -0.07 | 4% | 2 Aug → | ||
| 2–13 | -0.07 | 11% | 1 Aug → | ||
| 7–13 | -0.04 | 12% | 1 Aug → | ||
| 13–6 | 0.01 | 14% | 1 Aug → | ||
| 13–11 | -0.06 | 4% | 31 Jul → | ||
| 6–13 | -0.09 | 14% | 31 Jul → | ||
| 2–13 | 0.01 | 4% | 30 Jul → | ||
| 13–10 | -0.11 | 10% | 29 Jul → | ||
| 13–7 | -0.06 | 18% | 29 Jul → | ||
| 11–13 | -0.08 | 8% | 28 Jul → | ||
| 13–16 | -0.05 | 5% | 28 Jul → | ||
| 13–9 | -0.04 | 17% | 27 Jul → | ||
| 10–13 | -0.07 | 19% | 27 Jul → | ||
| 7–13 | -0.05 | 9% | 25 Jul → | ||
| 9–13 | -0.03 | 13% | 25 Jul → | ||
| 2–13 | -0.05 | 0% | 24 Jul → | ||
| 13–7 | 0.01 | 11% | 24 Jul → | ||
| 13–6 | -0.04 | 15% | 23 Jul → | ||
| 3–13 | -0.05 | 15% | 22 Jul → | ||
| 13–4 | 0.04 | 12% | 21 Jul → | ||
| 13–9 | 0.02 | 14% | 21 Jul → | ||
| 13–3 | -0.01 | 21% | 20 Jul → | ||
| 13–11 | -0.01 | 21% | 20 Jul → | ||
| 13–9 | -0.05 | 10% | 19 Jul → | ||
| 3–13 | -0.11 | 4% | 19 Jul → | ||
| 10–13 | -0.05 | 12% | 19 Jul → | ||
| 5–13 | -0.05 | 19% | 19 Jul → | ||
| 7–13 | -0.05 | 5% | 18 Jul → | ||
| 13–9 | -0.03 | 15% | 18 Jul → | ||
| 13–8 | -0.04 | 19% | 18 Jul → | ||
| 5–13 | -0.12 | 16% | 18 Jul → | ||
| 11–13 | -0.03 | 20% | 17 Jul → | ||
| 13–10 | 0.04 | 15% | 17 Jul → | ||
| 13–16 | -0.03 | 23% | 16 Jul → | ||
| 6–13 | -0.06 | 29% | 16 Jul → | ||
| 6–13 | -0.05 | 10% | 16 Jul → | ||
| 5–13 | -0.08 | 3% | 16 Jul → | ||
| 10–13 | -0.02 | 20% | 15 Jul → | ||
| 13–6 | 0.08 | 23% | 15 Jul → | ||
| 13–9 | -0.09 | 21% | 14 Jul → | ||
| 9–13 | -0.07 | 17% | 14 Jul → | ||
| 13–11 | -0.06 | 26% | 13 Jul → | ||
| 13–7 | -0.07 | 15% | 13 Jul → | ||
| 10–13 | -0.06 | 9% | 12 Jul → | ||
| 3–13 | -0.11 | 6% | 10 Jul → | ||
| 3–13 | -0.01 | 6% | 10 Jul → | ||
| 16–12 | -0.06 | 13% | 10 Jul → | ||
| 13–10 | -0.07 | 17% | 10 Jul → | ||
| 13–9 | -0.08 | 3% | 10 Jul → | ||
| 9–13 | -0.02 | 6% | 9 Jul → | ||
| 13–3 | 0.03 | 11% | 9 Jul → | ||
| 1–13 | -0.02 | 8% | 4 Jul → | ||
| 13–11 | -0.10 | 8% | 4 Jul → | ||
| 14–16 | -0.04 | 14% | 4 Jul → | ||
| 8–13 | -0.06 | 17% | 3 Jul → | ||
| 15–15 | -0.06 | 14% | 3 Jul → | ||
| 4–13 | -0.09 | 8% | 1 Jul → | ||
| 7–13 | -0.01 | 5% | 30 Jun → | ||
| 7–13 | -0.09 | 3% | 27 Jun → | ||
| 6–13 | -0.04 | 18% | 23 Jun → | ||
| 10–13 | -0.07 | 17% | 21 Jun → | ||
| 3–13 | -0.11 | 11% | 19 Jun → | ||
| 9–13 | -0.03 | 9% | 19 Jun → | ||
| 8–13 | -0.03 | 10% | 18 Jun → | ||
| 2–13 | -0.07 | 3% | 18 Jun → | ||
| 10–13 | -0.04 | 9% | 16 Jun → | ||
| 5–13 | -0.07 | 6% | 16 Jun → | ||
| 13–11 | -0.05 | 10% | 14 Jun → | ||
| 13–5 | -0.06 | 4% | 14 Jun → |
Match data via Leetify.
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