Boomble — CS2 Stats
LV76561198984844729[U:1:1024579001]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 53.8% | 52.0% |
| Shot accuracy | 15.5% | 13.7% |
| Kill/death ratio | 1.47 | 1.08 |
| Match win rate | 47.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.07 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 sh1ro 93% playstyle similarity
Most alike: opening-duel success, 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 88 — 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.
Reaction time. 572ms 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| S | 31 | 21–10 | 68% | 0.04 | |
| B | 21 | 10–11 | 48% | 0.03 | |
| A | 18 | 11–7 | 61% | 0.01 | |
| C | 14 | 5–9 | 36% | 0.01 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| stronghold | — | 1 | 0–1 | 0% | -0.08 |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.06 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 220 | 62% | 1.39 | 20.1 |
| Mirage | 165 | 45% | 1.15 | 17.3 |
| Inferno | 103 | 50% | 1.18 | 18.8 |
| Ancient | 91 | 45% | 1.14 | 17.2 |
| Anubis | 82 | 48% | 1.05 | 17.2 |
| Nuke | 24 | 38% | 0.91 | 14.9 |
| Cache | 6 | 33% | 1.10 | 15.8 |
| Overpass | 5 | 60% | 1.33 | 18.4 |
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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 24% | 21 Aug → | ||
| 8–13 | -0.03 | 23% | 14 Aug → | ||
| 0–13 | -0.07 | 22% | 9 Aug → | ||
| 13–10 | 0.06 | 27% | 2 Aug → | ||
| 8–13 | -0.04 | 22% | 2 Aug → | ||
| 10–13 | -0.03 | 15% | 1 Aug → | ||
| 13–7 | 0.05 | 23% | 1 Aug → | ||
| 13–3 | 0.12 | 21% | 25 Jul → | ||
| 4–13 | -0.00 | 19% | 16 Jul → | ||
| 11–13 | -0.06 | 26% | 5 Jul → | ||
| 0–13 | 0.00 | 50% | 3 Jul → | ||
| 13–2 | 0.06 | 23% | 3 Jul → | ||
| 13–4 | 0.03 | 28% | 3 Jul → | ||
| 5–9 | 0.25 | 41% | 3 Jul → | ||
| 2–1 | -0.02 | 67% | 3 Jul → | ||
| 13–4 | 0.15 | 26% | 3 Jul → | ||
| 13–2 | 0.06 | 25% | 3 Jul → | ||
| 13–6 | 0.11 | 20% | 2 Jul → | ||
| 6–0 | 0.00 | 24% | 2 Jul → | ||
| 13–7 | 0.10 | 26% | 28 May → | ||
| 13–6 | 0.02 | 9% | 28 May → | ||
| 13–6 | 0.03 | 23% | 27 May → | ||
| 13–7 | 0.02 | 17% | 25 May → | ||
| 10–13 | -0.02 | 18% | 25 May → | ||
| 13–9 | -0.04 | 27% | 25 May → | ||
| 13–10 | -0.03 | 21% | 23 May → | ||
| 16–13 | 0.01 | 22% | 23 May → | ||
| 5–13 | -0.06 | 41% | 21 May → | ||
| 13–6 | 0.05 | 19% | 21 May → | ||
| 9–13 | 0.04 | 24% | 20 May → | ||
| 1–13 | -0.02 | 33% | 20 May → | ||
| stronghold | 5–13 | -0.08 | 22% | 19 May → | |
| 9–7 | 0.07 | 38% | 19 May → | ||
| 13–10 | 0.06 | 31% | 17 May → | ||
| 13–9 | 0.08 | 15% | 15 May → | ||
| 13–6 | 0.01 | 14% | 13 May → | ||
| 13–9 | -0.04 | 22% | 12 May → | ||
| 13–16 | -0.04 | 21% | 11 May → | ||
| 13–2 | 0.03 | 21% | 11 May → | ||
| 10–13 | 0.05 | 30% | 10 May → | ||
| 13–10 | 0.05 | 30% | 5 May → | ||
| 13–11 | -0.00 | 31% | 5 May → | ||
| 9–13 | -0.01 | 16% | 2 May → | ||
| 13–10 | -0.05 | 12% | 2 May → | ||
| 13–8 | 0.04 | 25% | 1 May → | ||
| 13–8 | -0.00 | 10% | 1 May → | ||
| 13–7 | -0.02 | 28% | 30 Apr → | ||
| 13–6 | -0.00 | 22% | 30 Apr → | ||
| 12–12 | 0.10 | 31% | 27 Apr → | ||
| 12–12 | 0.04 | 26% | 26 Apr → | ||
| 13–9 | 0.01 | 19% | 24 Mar → | ||
| 10–13 | 0.01 | 38% | 18 Mar → | ||
| 11–13 | 0.06 | 20% | 15 Mar → | ||
| 5–13 | 0.02 | 25% | 12 Mar → | ||
| 8–8 | 0.02 | 35% | 12 Mar → | ||
| 10–13 | -0.05 | 16% | 10 Mar → | ||
| 16–14 | 0.05 | 13% | 28 Feb → | ||
| 13–11 | 0.10 | 14% | 21 Feb → | ||
| 12–16 | -0.01 | 22% | 16 Feb → | ||
| 11–13 | 0.15 | 34% | 16 Feb → | ||
| 9–4 | 0.16 | 39% | 10 Feb → | ||
| 13–9 | -0.05 | 39% | 4 Feb → | ||
| 13–9 | -0.02 | 31% | 3 Feb → | ||
| 13–8 | 0.10 | 48% | 2 Feb → | ||
| 3–13 | -0.03 | 16% | 30 Jan → | ||
| 4–13 | 0.08 | 13% | 17 Jan → | ||
| 6–9 | -0.05 | 25% | 17 Jan → | ||
| 8–8 | 0.03 | 31% | 10 Jan → | ||
| 13–11 | 0.05 | 17% | 10 Jan → | ||
| 13–4 | -0.03 | 33% | 9 Jan → | ||
| 13–5 | 0.03 | 20% | 8 Jan → | ||
| 6–11 | 0.00 | 21% | 6 Jan → | ||
| 13–7 | 0.06 | 25% | 5 Jan → | ||
| 13–5 | 0.05 | 23% | 4 Jan → | ||
| 6–13 | -0.08 | 29% | 16 Dec → | ||
| 5–13 | -0.04 | 33% | 15 Dec → | ||
| 6–13 | -0.01 | 44% | 15 Dec → | ||
| 8–13 | -0.03 | 19% | 15 Dec → | ||
| 4–7 | 0.01 | 28% | 12 Dec → | ||
| 13–9 | -0.03 | 27% | 11 Dec → | ||
| 8–13 | -0.05 | 28% | 11 Dec → | ||
| 5–9 | -0.12 | 14% | 8 Dec → | ||
| 8–8 | -0.01 | 21% | 8 Dec → | ||
| 11–13 | 0.11 | 19% | 5 Dec → | ||
| 13–2 | 0.04 | 13% | 17 Nov → | ||
| 13–8 | 0.11 | 44% | 15 Nov → | ||
| 5–13 | 0.05 | 21% | 29 Oct → | ||
| 16–14 | 0.03 | 18% | 26 Oct → | ||
| 11–13 | 0.02 | 19% | 13 Oct → | ||
| 11–13 | 0.06 | 22% | 7 Oct → | ||
| 13–10 | 0.03 | 14% | 5 Oct → | ||
| 13–16 | -0.01 | 16% | 4 Oct → | ||
| 13–6 | 0.04 | 27% | 4 Oct → | ||
| 13–10 | 0.04 | 17% | 4 Oct → | ||
| 9–13 | 0.01 | 9% | 4 Oct → | ||
| 13–9 | 0.02 | 19% | 4 Oct → | ||
| 16–13 | 0.05 | 28% | 4 Oct → | ||
| 13–8 | 0.02 | 36% | 30 Sept → | ||
| 13–11 | 0.08 | 29% | 30 Sept → | ||
| 7–13 | 0.01 | 22% | 30 Sept → |
Match data via Leetify.