✪ Bubbles — CS2 Stats
NZ76561198174211927[U:1:213946199]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 587ms 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 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 22 | 8–14 | 36% | -0.02 | |
| B | 17 | 9–8 | 53% | -0.01 | |
| A | 16 | 9–7 | 56% | -0.00 | |
| D | 13 | 4–9 | 31% | -0.02 | |
| A | 11 | 6–5 | 55% | 0.00 | |
| S | 9 | 6–3 | 67% | -0.03 | |
| C | 7 | 3–4 | 43% | 0.00 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| office | — | 1 | 1–0 | 100% | 0.05 |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 74 | 61% | 0.87 | 13.4 |
| Vertigo | 37 | 51% | 0.94 | 15.8 |
| Ancient | 36 | 36% | 0.83 | 14.1 |
| Anubis | 30 | 53% | 0.72 | 12.0 |
| Inferno | 27 | 44% | 0.92 | 13.8 |
| Dust2 | 15 | 33% | 0.88 | 14.3 |
| Nuke | 11 | 36% | 1.01 | 15.6 |
| Overpass | 9 | 33% | 0.98 | 14.9 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3253 — below the 0.5 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 25.9428% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | -0.02 | 15% | 24 Aug → | ||
| 16–14 | 0.01 | 15% | 24 Aug → | ||
| 5–13 | -0.02 | 22% | 20 Aug → | ||
| 7–13 | 0.02 | 22% | 20 Aug → | ||
| 13–7 | -0.02 | 8% | 20 Aug → | ||
| 13–6 | -0.03 | 13% | 20 Aug → | ||
| 9–13 | 0.00 | 6% | 20 Aug → | ||
| 11–13 | -0.04 | 16% | 19 Aug → | ||
| 20–22 | -0.06 | 13% | 19 Aug → | ||
| 10–13 | -0.07 | 13% | 18 Aug → | ||
| 11–13 | -0.03 | 22% | 17 Aug → | ||
| 13–8 | 0.05 | 23% | 16 Aug → | ||
| 13–16 | 0.03 | 8% | 11 Aug → | ||
| 13–5 | 0.01 | 27% | 11 Aug → | ||
| 10–13 | -0.07 | 18% | 5 Aug → | ||
| 13–10 | 0.06 | 9% | 4 Aug → | ||
| 2–13 | -0.00 | 0% | 4 Aug → | ||
| 13–2 | -0.04 | 5% | 4 Aug → | ||
| 16–13 | 0.02 | 15% | 3 Aug → | ||
| 10–13 | -0.01 | 17% | 28 Jul → | ||
| 4–13 | -0.04 | 19% | 27 Jul → | ||
| 13–11 | -0.01 | 14% | 27 Jul → | ||
| 3–13 | -0.09 | 6% | 27 Jul → | ||
| 7–13 | -0.03 | 32% | 26 Jul → | ||
| 13–16 | -0.03 | 20% | 26 Jul → | ||
| 3–13 | 0.01 | 8% | 26 Jul → | ||
| 7–13 | -0.06 | 36% | 26 Jul → | ||
| 10–13 | 0.02 | 23% | 26 Jul → | ||
| 13–5 | -0.08 | 11% | 26 Jul → | ||
| 13–11 | -0.05 | 15% | 23 Jul → | ||
| 14–16 | -0.04 | 12% | 23 Jul → | ||
| 11–13 | -0.02 | 8% | 23 Jul → | ||
| 13–4 | -0.03 | 4% | 22 Jul → | ||
| 7–13 | 0.04 | 8% | 22 Jul → | ||
| 13–9 | 0.07 | 19% | 22 Jul → | ||
| 13–10 | 0.04 | 10% | 22 Jul → | ||
| 11–13 | 0.03 | 22% | 22 Jul → | ||
| 13–9 | -0.05 | 24% | 22 Jul → | ||
| 7–5 | 0.12 | 15% | 22 Jul → | ||
| 13–7 | -0.01 | 11% | 22 Jul → | ||
| 13–6 | 0.00 | 9% | 21 Jul → | ||
| 10–13 | 0.02 | 4% | 21 Jul → | ||
| 10–13 | -0.02 | 19% | 20 Jul → | ||
| 7–13 | -0.07 | 11% | 20 Jul → | ||
| 13–11 | -0.02 | 11% | 20 Jul → | ||
| 16–14 | -0.01 | 25% | 19 Jul → | ||
| 14–16 | -0.01 | 18% | 19 Jul → | ||
| 13–3 | 0.11 | 14% | 19 Jul → | ||
| 13–11 | -0.06 | 7% | 19 Jul → | ||
| 13–11 | -0.03 | 80% | 19 Jul → | ||
| 2–13 | -0.12 | 43% | 19 Jul → | ||
| 6–13 | -0.03 | 12% | 19 Jul → | ||
| 13–5 | -0.01 | 24% | 17 Jul → | ||
| 8–13 | -0.04 | 32% | 17 Jul → | ||
| 13–9 | -0.01 | 7% | 17 Jul → | ||
| 13–9 | 0.05 | 25% | 17 Jul → | ||
| 9–13 | -0.01 | 12% | 17 Jul → | ||
| 8–13 | -0.03 | 21% | 13 Jul → | ||
| 13–9 | 0.02 | 9% | 13 Jul → | ||
| 13–8 | 0.02 | 13% | 13 Jul → | ||
| 5–13 | -0.03 | 32% | 12 Jul → | ||
| 3–13 | -0.06 | 32% | 12 Jul → | ||
| 13–5 | -0.05 | 22% | 12 Jul → | ||
| 6–13 | -0.04 | 32% | 12 Jul → | ||
| 8–5 | -0.04 | 0% | 12 Jul → | ||
| 11–13 | -0.04 | 16% | 12 Jul → | ||
| 5–3 | 0.04 | 29% | 12 Jul → | ||
| 9–13 | -0.06 | 20% | 12 Jul → | ||
| 9–13 | -0.09 | 11% | 12 Jul → | ||
| 5–13 | -0.08 | 8% | 11 Jul → | ||
| 16–14 | 0.06 | 9% | 11 Jul → | ||
| 13–8 | 0.04 | 19% | 11 Jul → | ||
| 8–13 | 0.02 | 9% | 11 Jul → | ||
| 13–7 | 0.02 | 33% | 11 Jul → | ||
| 13–4 | 0.03 | 28% | 11 Jul → | ||
| 13–2 | 0.01 | 15% | 8 Jul → | ||
| office | 13–6 | 0.05 | 38% | 8 Jul → | |
| 12–12 | -0.02 | 12% | 8 Jul → | ||
| 4–13 | -0.04 | 15% | 8 Jul → | ||
| 9–13 | -0.01 | 18% | 14 Jun → | ||
| 13–6 | 0.01 | 13% | 14 Jun → | ||
| 16–13 | 0.00 | 14% | 14 Jun → | ||
| 6–13 | -0.07 | 7% | 14 Jun → | ||
| 13–5 | 0.04 | 17% | 14 Jun → | ||
| 2–10 | -0.07 | 25% | 11 Jun → | ||
| 13–8 | 0.03 | 17% | 11 Jun → | ||
| 8–13 | -0.02 | 9% | 11 Jun → | ||
| 10–13 | 0.05 | 13% | 11 Jun → | ||
| 4–13 | -0.10 | 29% | 11 Jun → | ||
| 11–13 | 0.01 | 17% | 10 Jun → | ||
| 9–13 | -0.05 | 24% | 10 Jun → | ||
| 0–13 | -0.01 | 0% | 10 Jun → | ||
| 13–7 | 0.02 | 11% | 9 Jun → | ||
| 13–8 | 0.03 | 15% | 9 Jun → | ||
| 13–10 | -0.03 | 20% | 9 Jun → | ||
| 13–10 | 0.01 | 12% | 9 Jun → | ||
| 13–6 | -0.01 | 4% | 8 Jun → | ||
| 13–9 | 0.01 | 33% | 8 Jun → | ||
| 11–13 | 0.01 | 13% | 8 Jun → | ||
| 13–9 | -0.00 | 17% | 8 Jun → |
Match data via Leetify.