bamboozlerr_ — CS2 Stats
AT76561198188283228[U:1:228017500]Steam profile ↗
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 |
|---|---|---|
| Headshot rate | 43.8% | 52.8% |
| Shot accuracy | 11.5% | 13.7% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 48.5% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 95% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| B | 21 | 11–10 | 52% | 0.02 | |
| A | 20 | 11–9 | 55% | 0.03 | |
| B | 19 | 10–9 | 53% | 0.02 | |
| B | 14 | 7–7 | 50% | 0.01 | |
| S | 11 | 8–3 | 73% | 0.04 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.05 | |
| — | 3 | 2–1 | 67% | 0.01 | |
| debris | — | 1 | 0–1 | 0% | -0.26 |
| — | 1 | 0–1 | 0% | -0.00 | |
| eldorado | — | 1 | 1–0 | 100% | 0.19 |
| — | 1 | 1–0 | 100% | 0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 65 | 51% | 1.19 | 16.0 |
| Anubis | 60 | 53% | 1.28 | 16.0 |
| Inferno | 41 | 61% | 1.25 | 16.6 |
| Vertigo | 38 | 47% | 1.12 | 15.8 |
| Ancient | 36 | 56% | 1.19 | 17.1 |
| Dust2 | 22 | 55% | 1.21 | 15.7 |
| Overpass | 8 | 62% | 1.37 | 15.9 |
| Nuke | 8 | 25% | 0.88 | 11.5 |
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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| debris | 2–9 | -0.26 | 17% | 27 Aug → | |
| 0–13 | -0.12 | 0% | 27 Aug → | ||
| 8–13 | -0.05 | 19% | 26 Aug → | ||
| 0–8 | -0.06 | 33% | 26 Aug → | ||
| 11–13 | 0.00 | 30% | 26 Aug → | ||
| 13–8 | 0.13 | 37% | 26 Aug → | ||
| 8–13 | 0.02 | 16% | 18 Aug → | ||
| 10–13 | 0.14 | 38% | 18 Aug → | ||
| 10–13 | -0.03 | 24% | 15 Aug → | ||
| 6–13 | -0.01 | 20% | 2 Aug → | ||
| 1–13 | 0.00 | 40% | 2 Aug → | ||
| 13–8 | 0.09 | 25% | 2 Aug → | ||
| 12–12 | -0.00 | 19% | 31 Jul → | ||
| 7–13 | -0.03 | 19% | 31 Jul → | ||
| 0–7 | -0.03 | 18% | 31 Jul → | ||
| 0–2 | 0.06 | 100% | 31 Jul → | ||
| 13–5 | 0.07 | 17% | 27 Jul → | ||
| 11–13 | 0.01 | 14% | 26 Jul → | ||
| 13–8 | 0.09 | 15% | 26 Jul → | ||
| 4–9 | -0.00 | 8% | 26 Jul → | ||
| 10–13 | 0.05 | 13% | 25 Jul → | ||
| 9–13 | 0.03 | 34% | 25 Jul → | ||
| 2–13 | 0.01 | 24% | 25 Jul → | ||
| 3–10 | 0.08 | 36% | 24 Jul → | ||
| 13–5 | 0.09 | 23% | 24 Jul → | ||
| 13–10 | 0.17 | 16% | 24 Jul → | ||
| 5–13 | 0.08 | 33% | 23 Jul → | ||
| 13–7 | 0.07 | 29% | 23 Jul → | ||
| 13–11 | 0.15 | 14% | 23 Jul → | ||
| 13–8 | 0.01 | 11% | 22 Jul → | ||
| 7–13 | 0.02 | 25% | 22 Jul → | ||
| 13–7 | 0.06 | 15% | 21 Jul → | ||
| 16–14 | 0.05 | 18% | 21 Jul → | ||
| 6–13 | -0.04 | 23% | 21 Jul → | ||
| 13–3 | -0.03 | 33% | 21 Jul → | ||
| 13–11 | -0.04 | 27% | 19 Jul → | ||
| 10–5 | 0.09 | 13% | 19 Jul → | ||
| 13–5 | 0.06 | 19% | 19 Jul → | ||
| 13–8 | 0.14 | 15% | 19 Jul → | ||
| 13–8 | 0.07 | 23% | 19 Jul → | ||
| 7–13 | -0.00 | 15% | 19 Jul → | ||
| 13–7 | 0.01 | 13% | 18 Jul → | ||
| 13–11 | 0.00 | 20% | 18 Jul → | ||
| 9–13 | -0.02 | 33% | 18 Jul → | ||
| 6–13 | 0.04 | 26% | 18 Jul → | ||
| 7–13 | -0.06 | 44% | 18 Jul → | ||
| 2–6 | -0.02 | 14% | 18 Jul → | ||
| 13–4 | 0.02 | 13% | 17 Jul → | ||
| 13–3 | 0.02 | 13% | 17 Jul → | ||
| 16–14 | 0.08 | 13% | 12 Jul → | ||
| 13–6 | -0.01 | 10% | 12 Jul → | ||
| 13–2 | 0.01 | 10% | 12 Jul → | ||
| 13–7 | 0.02 | 9% | 12 Jul → | ||
| 8–13 | -0.02 | 21% | 11 Jul → | ||
| 13–8 | 0.13 | 17% | 11 Jul → | ||
| 2–13 | -0.03 | 32% | 11 Jul → | ||
| 10–13 | 0.06 | 32% | 11 Jul → | ||
| 13–5 | 0.03 | 9% | 11 Jul → | ||
| 13–9 | 0.05 | 18% | 11 Jul → | ||
| eldorado | 9–3 | 0.19 | 21% | 11 Jul → | |
| 6–0 | -0.05 | 0% | 11 Jul → | ||
| 8–13 | 0.03 | 15% | 11 Jul → | ||
| 13–4 | -0.03 | 16% | 11 Jul → | ||
| 14–16 | 0.02 | 16% | 10 Jul → | ||
| 13–6 | 0.02 | 35% | 10 Jul → | ||
| 8–13 | 0.00 | 9% | 10 Jul → | ||
| 13–6 | -0.02 | 22% | 10 Jul → | ||
| 9–13 | -0.00 | 7% | 10 Jul → | ||
| 13–7 | 0.07 | 17% | 10 Jul → | ||
| 13–8 | 0.03 | 18% | 10 Jul → | ||
| 7–13 | -0.04 | 23% | 5 Jul → | ||
| 1–13 | 0.02 | 17% | 5 Jul → | ||
| 7–13 | -0.00 | 15% | 5 Jul → | ||
| 13–4 | 0.07 | 17% | 5 Jul → | ||
| 8–13 | -0.06 | 21% | 1 Jul → | ||
| 13–6 | 0.08 | 16% | 1 Jul → | ||
| 6–9 | 0.08 | 26% | 30 Jun → | ||
| 11–13 | -0.02 | 20% | 30 Jun → | ||
| 10–13 | -0.08 | 11% | 28 Jun → | ||
| 1–7 | -0.03 | 29% | 23 Jun → | ||
| 7–13 | -0.00 | 27% | 21 Jun → | ||
| 13–5 | 0.10 | 24% | 21 Jun → | ||
| 13–11 | 0.00 | 20% | 18 Jun → | ||
| 13–11 | 0.01 | 16% | 17 Jun → | ||
| 6–13 | -0.04 | 29% | 17 Jun → | ||
| 13–7 | 0.08 | 22% | 17 Jun → | ||
| 13–2 | -0.00 | 21% | 17 Jun → | ||
| 13–9 | 0.10 | 24% | 17 Jun → | ||
| 13–5 | 0.05 | 8% | 17 Jun → | ||
| 13–2 | 0.02 | 41% | 17 Jun → | ||
| 13–8 | 0.12 | 15% | 16 Jun → | ||
| 10–1 | -0.01 | 18% | 16 Jun → | ||
| 13–4 | 0.05 | 18% | 16 Jun → | ||
| 13–7 | -0.01 | 28% | 15 Jun → | ||
| 13–4 | 0.01 | 35% | 15 Jun → | ||
| 10–13 | 0.01 | 12% | 15 Jun → | ||
| 13–8 | 0.03 | 16% | 15 Jun → | ||
| 13–9 | 0.00 | 25% | 14 Jun → | ||
| 13–2 | 0.09 | 38% | 14 Jun → | ||
| 13–9 | 0.10 | 12% | 14 Jun → |
Match data via Leetify.