Bomba|N| — CS2 Stats
76561197963647014[U:1:3381286]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited utility dependence
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 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 646ms 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 5.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 21 | 13–8 | 62% | 0.00 | |
| B | 18 | 9–9 | 50% | 0.00 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 3 | 33% | 0.68 | 11.3 |
| Mirage | 2 | 50% | 0.62 | 11.0 |
| Ancient | 1 | 0% | 0.76 | 13.0 |
| Inferno | 1 | 0% | 0.59 | 10.0 |
| Train | 1 | 0% | 1.19 | 25.0 |
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.
- 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 23.8664% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.01 | 17% | 23 Apr → | ||
| 10–13 | -0.04 | 16% | 16 Apr → | ||
| 6–13 | -0.10 | 13% | 16 Apr → | ||
| 15–15 | -0.01 | 28% | 14 Apr → | ||
| 9–13 | -0.06 | 11% | 14 Apr → | ||
| 4–13 | -0.04 | 15% | 13 Apr → | ||
| 13–4 | 0.04 | 33% | 13 Apr → | ||
| 13–10 | -0.03 | 11% | 12 Apr → | ||
| 13–11 | -0.04 | 26% | 7 Apr → | ||
| 8–13 | -0.01 | 23% | 7 Apr → | ||
| 13–10 | 0.06 | 25% | 7 Apr → | ||
| 11–13 | -0.01 | 14% | 6 Apr → | ||
| 13–6 | 0.02 | 23% | 6 Apr → | ||
| 7–13 | -0.02 | 18% | 4 Apr → | ||
| 13–10 | 0.03 | 16% | 4 Apr → | ||
| 13–6 | 0.03 | 10% | 4 Apr → | ||
| 13–5 | -0.05 | 14% | 4 Apr → | ||
| 13–8 | -0.02 | 22% | 30 Mar → | ||
| 15–15 | -0.01 | 14% | 30 Mar → | ||
| 16–13 | -0.04 | 16% | 28 Mar → | ||
| 13–11 | -0.05 | 16% | 28 Mar → | ||
| 13–4 | 0.05 | 13% | 28 Mar → | ||
| 8–13 | -0.08 | 14% | 28 Mar → | ||
| 13–16 | -0.02 | 11% | 28 Mar → | ||
| 7–13 | -0.06 | 8% | 22 Mar → | ||
| 13–7 | 0.02 | 24% | 17 Mar → | ||
| 13–0 | 0.05 | 14% | 17 Mar → | ||
| 6–13 | -0.04 | 23% | 15 Mar → | ||
| 13–8 | 0.03 | 26% | 15 Mar → | ||
| 10–13 | -0.06 | 13% | 11 Mar → | ||
| 13–10 | 0.02 | 30% | 11 Mar → | ||
| 6–13 | 0.02 | 21% | 11 Mar → | ||
| 13–11 | 0.02 | 25% | 9 Mar → | ||
| 13–5 | 0.05 | 18% | 9 Mar → | ||
| 6–13 | 0.09 | 22% | 8 Mar → | ||
| 13–4 | 0.06 | 17% | 8 Mar → | ||
| 0–7 | -0.04 | 31% | 8 Mar → | ||
| 13–6 | 0.10 | 18% | 6 Mar → | ||
| 13–11 | -0.05 | 13% | 6 Mar → | ||
| 15–15 | 0.08 | 23% | 5 Mar → | ||
| 13–5 | 0.04 | 20% | 5 Mar → | ||
| 10–13 | 0.05 | 14% | 4 Mar → | ||
| 5–13 | -0.09 | 21% | 4 Mar → | ||
| 6–13 | -0.05 | 8% | 2 Mar → | ||
| 13–11 | 0.07 | 21% | 27 Feb → | ||
| 13–7 | 0.04 | 18% | 27 Feb → | ||
| 13–11 | -0.07 | 15% | 27 Feb → | ||
| 13–11 | 0.03 | 20% | 25 Feb → | ||
| 13–4 | 0.07 | 9% | 25 Feb → | ||
| 11–13 | -0.01 | 15% | 24 Feb → | ||
| 11–13 | 0.02 | 27% | 22 Feb → | ||
| 13–9 | 0.03 | 18% | 22 Feb → | ||
| 16–14 | -0.02 | 17% | 21 Feb → | ||
| 12–16 | -0.01 | 16% | 21 Feb → | ||
| 14–16 | -0.08 | 13% | 20 Feb → | ||
| 9–13 | 0.02 | 24% | 20 Feb → | ||
| 13–5 | 0.03 | 30% | 20 Feb → | ||
| 10–13 | 0.02 | 17% | 16 Feb → | ||
| 4–13 | 0.03 | 25% | 16 Feb → | ||
| 10–13 | -0.07 | 8% | 13 Feb → | ||
| 8–13 | -0.10 | 13% | 13 Feb → | ||
| 13–5 | -0.01 | 10% | 9 Feb → | ||
| 13–8 | -0.02 | 18% | 9 Feb → | ||
| 3–13 | -0.08 | 23% | 9 Feb → | ||
| 13–3 | 0.08 | 21% | 8 Feb → | ||
| 15–15 | -0.04 | 15% | 8 Feb → | ||
| 13–10 | -0.02 | 18% | 7 Feb → | ||
| 13–2 | 0.02 | 21% | 7 Feb → | ||
| 11–13 | -0.00 | 21% | 7 Feb → | ||
| 13–7 | -0.03 | 18% | 3 Feb → | ||
| 13–10 | 0.05 | 18% | 3 Feb → | ||
| 13–5 | 0.02 | 14% | 2 Feb → | ||
| 7–13 | -0.06 | 20% | 1 Feb → | ||
| 13–11 | -0.01 | 16% | 1 Feb → | ||
| 13–11 | -0.02 | 18% | 1 Feb → | ||
| 7–13 | -0.02 | 12% | 29 Jan → | ||
| 6–13 | 0.09 | 8% | 28 Jan → | ||
| 9–13 | -0.03 | 20% | 28 Jan → | ||
| 13–3 | 0.02 | 15% | 27 Jan → | ||
| 13–5 | 0.03 | 20% | 27 Jan → | ||
| 15–15 | 0.03 | 11% | 26 Jan → | ||
| 1–13 | -0.11 | 11% | 26 Jan → | ||
| 13–9 | -0.02 | 16% | 25 Jan → | ||
| 7–13 | -0.04 | 11% | 25 Jan → | ||
| 13–10 | -0.04 | 25% | 24 Jan → | ||
| 5–13 | 0.01 | 23% | 23 Jan → | ||
| 13–9 | 0.01 | 18% | 23 Jan → | ||
| 13–6 | 0.05 | 17% | 22 Jan → | ||
| 9–13 | -0.06 | 18% | 22 Jan → | ||
| 13–9 | 0.02 | 20% | 19 Jan → | ||
| 7–13 | -0.05 | 23% | 18 Jan → | ||
| 13–10 | 0.10 | 22% | 17 Jan → | ||
| 10–13 | -0.01 | 15% | 10 Mar → | ||
| 3–13 | -0.05 | 18% | 10 Mar → | ||
| 8–13 | -0.05 | 28% | 7 Mar → | ||
| 10–13 | 0.02 | 33% | 7 Mar → | ||
| 13–6 | 0.13 | 23% | 6 Mar → | ||
| 15–15 | 0.01 | 17% | 3 Mar → | ||
| 6–13 | -0.00 | 17% | 3 Mar → | ||
| 13–6 | 0.06 | 27% | 2 Mar → |
Match data via Leetify.