上帝 Bunker ` — CS2 Stats
76561198326783686[U:1:366517958]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median | vs Level 10 |
|---|---|---|---|
| Headshot rate | 44.4% | 52.8% | 8.4% short |
| Shot accuracy | 12.3% | 13.7% | 1.4% short |
| Kill/death ratio | 1.07 | 1.08 | meets |
| Match win rate | 47.2% | 49.2% | 2.0% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 donk 95% playstyle similarity
Most alike: opening-duel success, positioning 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 90 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.4/10 (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 |
|---|---|---|---|---|---|
| C | 35 | 15–20 | 43% | 0.01 | |
| C | 28 | 11–17 | 39% | 0.01 | |
| A | 16 | 10–6 | 63% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| S | 5 | 4–1 | 80% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 3 | 2–1 | 67% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (39% over 28). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 81 | 59% | 1.27 | 18.1 |
| Dust2 | 70 | 51% | 1.17 | 17.5 |
| Ancient | 40 | 60% | 1.15 | 16.1 |
| Inferno | 30 | 50% | 1.12 | 16.0 |
| Anubis | 17 | 47% | 1.09 | 15.9 |
| Nuke | 12 | 50% | 0.99 | 13.8 |
| Cache | 3 | 33% | 1.06 | 18.3 |
| Overpass | 1 | 100% | 1.75 | 14.0 |
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.
39% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.02 | 30% | 28 Aug → | ||
| 1–7 | -0.07 | 17% | 28 Aug → | ||
| 14–16 | -0.04 | 18% | 26 Aug → | ||
| 13–0 | -0.02 | 20% | 26 Aug → | ||
| 6–1 | -0.02 | 4% | 26 Aug → | ||
| 13–7 | 0.04 | 14% | 25 Aug → | ||
| 13–1 | 0.18 | 13% | 25 Aug → | ||
| 10–13 | 0.03 | 28% | 24 Aug → | ||
| 13–5 | 0.14 | 24% | 24 Aug → | ||
| 14–16 | -0.04 | 15% | 23 Aug → | ||
| 13–10 | 0.03 | 17% | 23 Aug → | ||
| 5–13 | 0.02 | 16% | 23 Aug → | ||
| 13–9 | 0.03 | 22% | 23 Aug → | ||
| 13–5 | 0.02 | 11% | 23 Aug → | ||
| 13–9 | -0.01 | 9% | 22 Aug → | ||
| 13–11 | 0.04 | 10% | 22 Aug → | ||
| 13–11 | 0.08 | 17% | 22 Aug → | ||
| 7–13 | -0.04 | 30% | 22 Aug → | ||
| 5–13 | -0.01 | 18% | 21 Aug → | ||
| 13–11 | -0.01 | 24% | 18 Aug → | ||
| 8–13 | 0.02 | 19% | 18 Aug → | ||
| 8–13 | 0.01 | 21% | 16 Aug → | ||
| 10–13 | -0.05 | 20% | 15 Aug → | ||
| 8–1 | 0.02 | 28% | 15 Aug → | ||
| 8–13 | -0.01 | 24% | 15 Aug → | ||
| 16–13 | 0.02 | 22% | 15 Aug → | ||
| 8–13 | 0.06 | 16% | 15 Aug → | ||
| 13–8 | 0.08 | 23% | 14 Aug → | ||
| 13–2 | 0.07 | 16% | 14 Aug → | ||
| 13–5 | -0.01 | 20% | 13 Aug → | ||
| 13–7 | 0.13 | 33% | 13 Aug → | ||
| 13–10 | 0.06 | 20% | 12 Aug → | ||
| 8–13 | 0.01 | 18% | 12 Aug → | ||
| 10–13 | 0.01 | 30% | 9 Aug → | ||
| 13–8 | 0.14 | 17% | 9 Aug → | ||
| 4–13 | -0.03 | 21% | 9 Aug → | ||
| 11–13 | 0.07 | 13% | 8 Aug → | ||
| 6–13 | -0.02 | 20% | 8 Aug → | ||
| 13–7 | 0.00 | 22% | 8 Aug → | ||
| 12–16 | 0.03 | 13% | 8 Aug → | ||
| 13–7 | 0.02 | 16% | 5 Aug → | ||
| 13–7 | -0.01 | 26% | 5 Aug → | ||
| 4–13 | -0.06 | 25% | 5 Aug → | ||
| 11–13 | 0.02 | 23% | 4 Aug → | ||
| 16–14 | 0.06 | 19% | 4 Aug → | ||
| 4–13 | -0.01 | 8% | 4 Aug → | ||
| 13–7 | 0.05 | 21% | 3 Aug → | ||
| 13–9 | 0.03 | 17% | 3 Aug → | ||
| 7–13 | -0.03 | 18% | 3 Aug → | ||
| 9–13 | -0.06 | 21% | 2 Aug → | ||
| 2–13 | -0.06 | 9% | 2 Aug → | ||
| 9–13 | 0.10 | 17% | 2 Aug → | ||
| 13–8 | -0.01 | 11% | 2 Aug → | ||
| 2–13 | -0.05 | 13% | 2 Aug → | ||
| 7–13 | 0.01 | 21% | 2 Aug → | ||
| 13–7 | 0.00 | 26% | 2 Aug → | ||
| 13–11 | 0.01 | 38% | 2 Aug → | ||
| 9–13 | -0.03 | 14% | 2 Aug → | ||
| 3–13 | -0.03 | 24% | 2 Aug → | ||
| 13–7 | -0.01 | 13% | 2 Aug → | ||
| 8–13 | -0.07 | 30% | 30 Jul → | ||
| 13–11 | 0.00 | 17% | 30 Jul → | ||
| 13–6 | 0.11 | 9% | 30 Jul → | ||
| 12–16 | -0.02 | 16% | 28 Jul → | ||
| 10–13 | 0.04 | 17% | 28 Jul → | ||
| 13–4 | 0.11 | 31% | 28 Jul → | ||
| 16–13 | 0.02 | 19% | 28 Jul → | ||
| 14–16 | -0.00 | 27% | 26 Jul → | ||
| 5–13 | 0.04 | 23% | 26 Jul → | ||
| 13–9 | 0.15 | 34% | 26 Jul → | ||
| 4–13 | -0.05 | 30% | 26 Jul → | ||
| 8–13 | -0.03 | 11% | 25 Jul → | ||
| 13–8 | -0.07 | 20% | 25 Jul → | ||
| 13–9 | 0.02 | 16% | 25 Jul → | ||
| 8–13 | 0.03 | 30% | 25 Jul → | ||
| 13–16 | 0.02 | 15% | 24 Jul → | ||
| 13–6 | 0.04 | 31% | 24 Jul → | ||
| 6–13 | 0.00 | 27% | 24 Jul → | ||
| 13–0 | -0.02 | 15% | 24 Jul → | ||
| 13–11 | -0.06 | 11% | 22 Jul → | ||
| 8–13 | 0.01 | 18% | 22 Jul → | ||
| 13–6 | 0.06 | 17% | 21 Jul → | ||
| 13–8 | 0.00 | 17% | 21 Jul → | ||
| 13–7 | 0.03 | 16% | 19 Jul → | ||
| 9–13 | -0.00 | 11% | 19 Jul → | ||
| 7–13 | -0.04 | 18% | 18 Jul → | ||
| 15–15 | 0.01 | 13% | 18 Jul → | ||
| 13–7 | -0.03 | 29% | 18 Jul → | ||
| 13–9 | 0.08 | 16% | 18 Jul → | ||
| 13–4 | 0.14 | 27% | 18 Jul → | ||
| 13–6 | 0.05 | 32% | 18 Jul → | ||
| 9–13 | 0.02 | 15% | 17 Jul → | ||
| 8–13 | -0.07 | 16% | 17 Jul → | ||
| 7–13 | 0.01 | 20% | 16 Jul → | ||
| 7–13 | 0.01 | 16% | 16 Jul → | ||
| 3–13 | -0.02 | 24% | 16 Jul → | ||
| 11–13 | 0.08 | 36% | 15 Jul → | ||
| 13–6 | -0.02 | 25% | 15 Jul → | ||
| 10–13 | 0.01 | 30% | 15 Jul → | ||
| 5–13 | -0.04 | 15% | 15 Jul → |
Match data via Leetify.