Bumblebee — CS2 Stats
76561198353383984[U:1:393118256]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashesLimited 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 b1t 87% 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
Strengths
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 615ms 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 (×1.00 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 | 30 | 11–19 | 37% | -0.01 | |
| S | 26 | 17–9 | 65% | 0.02 | |
| S | 15 | 10–5 | 67% | -0.00 | |
| S | 10 | 7–3 | 70% | -0.00 | |
| B | 8 | 4–4 | 50% | 0.01 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| — | 3 | 1–2 | 33% | 0.03 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (37% over 30). 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.
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.2997 — below the 4 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 34.8495% — 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.
37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.04 | 20% | 24 Jul → | ||
| 13–10 | 0.04 | 19% | 14 Jun → | ||
| 13–9 | -0.01 | 19% | 21 May → | ||
| 9–7 | 0.03 | 11% | 20 May → | ||
| 13–6 | 0.07 | 24% | 18 May → | ||
| 3–13 | -0.09 | 22% | 4 May → | ||
| 5–13 | -0.03 | 15% | 3 May → | ||
| 13–10 | -0.06 | 16% | 2 May → | ||
| 13–9 | 0.00 | 14% | 2 May → | ||
| 13–10 | 0.09 | 29% | 1 May → | ||
| 13–5 | 0.04 | 24% | 1 May → | ||
| 15–15 | 0.01 | 28% | 30 Apr → | ||
| 16–13 | 0.03 | 25% | 27 Apr → | ||
| 13–5 | 0.05 | 14% | 25 Apr → | ||
| 13–11 | -0.10 | 20% | 25 Apr → | ||
| 11–13 | -0.01 | 19% | 23 Apr → | ||
| 13–11 | -0.02 | 19% | 22 Apr → | ||
| 13–4 | 0.05 | 18% | 21 Apr → | ||
| 13–10 | 0.04 | 18% | 20 Apr → | ||
| 11–13 | 0.00 | 24% | 20 Apr → | ||
| 7–13 | -0.04 | 13% | 19 Apr → | ||
| 8–13 | 0.02 | 29% | 19 Apr → | ||
| 14–16 | -0.02 | 16% | 18 Apr → | ||
| 7–2 | -0.03 | 20% | 18 Apr → | ||
| 13–7 | 0.10 | 16% | 17 Apr → | ||
| 3–13 | -0.02 | 18% | 17 Apr → | ||
| 10–13 | 0.01 | 26% | 17 Apr → | ||
| 7–13 | -0.08 | 6% | 16 Apr → | ||
| 13–5 | 0.08 | 13% | 16 Apr → | ||
| 14–16 | 0.01 | 16% | 13 Apr → | ||
| 11–13 | -0.04 | 13% | 13 Apr → | ||
| 13–10 | -0.02 | 24% | 12 Apr → | ||
| 13–10 | -0.03 | 25% | 11 Apr → | ||
| 13–3 | 0.05 | 14% | 11 Apr → | ||
| 13–11 | -0.04 | 14% | 10 Apr → | ||
| 4–13 | 0.01 | 21% | 9 Apr → | ||
| 13–8 | 0.06 | 30% | 2 Apr → | ||
| 13–2 | 0.01 | 26% | 23 Mar → | ||
| 13–5 | 0.08 | 21% | 23 Mar → | ||
| 12–16 | -0.04 | 14% | 21 Mar → | ||
| 7–13 | 0.04 | 24% | 21 Mar → | ||
| 13–3 | 0.06 | 14% | 21 Mar → | ||
| 9–13 | 0.09 | 22% | 21 Mar → | ||
| 13–7 | 0.02 | 20% | 10 Mar → | ||
| 11–13 | 0.00 | 22% | 10 Mar → | ||
| 13–10 | -0.00 | 15% | 9 Mar → | ||
| 13–6 | 0.04 | 21% | 5 Mar → | ||
| 4–13 | -0.02 | 3% | 27 Feb → | ||
| 13–2 | -0.01 | 37% | 27 Feb → | ||
| 8–13 | -0.01 | 25% | 26 Feb → | ||
| 13–3 | 0.08 | 29% | 25 Feb → | ||
| 13–2 | 0.08 | 22% | 25 Feb → | ||
| 13–11 | 0.03 | 13% | 24 Feb → | ||
| 15–15 | 0.02 | 24% | 23 Feb → | ||
| 4–13 | -0.06 | 12% | 23 Feb → | ||
| 11–13 | -0.04 | 27% | 22 Feb → | ||
| 6–13 | 0.00 | 23% | 22 Feb → | ||
| 2–13 | -0.06 | 10% | 22 Feb → | ||
| 8–13 | -0.03 | 18% | 21 Feb → | ||
| 10–13 | 0.07 | 16% | 20 Feb → | ||
| 11–13 | -0.01 | 18% | 19 Feb → | ||
| 13–10 | -0.03 | 10% | 19 Feb → | ||
| 13–10 | -0.04 | 22% | 19 Feb → | ||
| 16–14 | 0.00 | 26% | 18 Feb → | ||
| 8–13 | -0.04 | 20% | 18 Feb → | ||
| 13–7 | -0.02 | 13% | 13 Feb → | ||
| 13–9 | -0.00 | 27% | 13 Feb → | ||
| 13–9 | 0.03 | 20% | 13 Feb → | ||
| 13–9 | 0.05 | 38% | 13 Feb → | ||
| 13–7 | 0.06 | 20% | 12 Feb → | ||
| 13–7 | 0.01 | 24% | 12 Feb → | ||
| 13–11 | -0.01 | 18% | 11 Feb → | ||
| 14–16 | -0.01 | 21% | 11 Feb → | ||
| 8–2 | -0.00 | 17% | 8 Feb → | ||
| 14–16 | 0.06 | 20% | 8 Feb → | ||
| 13–16 | -0.04 | 19% | 8 Feb → | ||
| 13–6 | 0.02 | 21% | 7 Feb → | ||
| 13–11 | 0.02 | 19% | 7 Feb → | ||
| 6–13 | -0.03 | 23% | 7 Feb → | ||
| 10–13 | -0.01 | 25% | 7 Feb → | ||
| 10–13 | -0.04 | 21% | 5 Feb → | ||
| 12–16 | -0.08 | 19% | 5 Feb → | ||
| 13–6 | 0.01 | 24% | 4 Feb → | ||
| 13–9 | -0.06 | 18% | 4 Feb → | ||
| 8–13 | -0.04 | 12% | 29 Jan → | ||
| 7–13 | -0.02 | 22% | 29 Jan → | ||
| 8–13 | -0.02 | 23% | 15 Dec → | ||
| 2–13 | -0.02 | 19% | 29 Aug → | ||
| 3–13 | -0.08 | 23% | 3 Aug → | ||
| 5–13 | -0.02 | 17% | 1 Jul → | ||
| 13–9 | 0.02 | 11% | 1 Jul → | ||
| 16–14 | -0.03 | 17% | 30 Jun → | ||
| 0–6 | -0.05 | 50% | 30 Jun → | ||
| 13–4 | 0.01 | 25% | 30 Jun → | ||
| 13–10 | -0.01 | 19% | 28 Jun → | ||
| 13–9 | -0.05 | 27% | 28 Jun → | ||
| 8–13 | -0.07 | 13% | 28 Jun → | ||
| 3–13 | -0.04 | 9% | 27 Jun → | ||
| 13–1 | 0.02 | 16% | 27 Jun → | ||
| 13–3 | 0.03 | 22% | 27 Jun → |
Match data via Leetify.