Gub Wubbly ☂ — CS2 Stats
76561198990784797[U:1:1030519069]✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 43.1% | 44.2% | 44.9% | 1.8% short |
| Shot accuracy | 2.9% | 11.2% | 11.8% | 8.9% short |
| Kill/death ratio | 0.95 | 1.04 | 1.04 | 0.09 short |
| Match win rate | 41.6% | 45.3% | 45.3% | 3.7% short |
This profile sits below the typical Level 6 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 82% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
| office | B | 65 | 34–31 | 52% | 0.02 |
| D | 34 | 9–25 | 26% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (26% over 34). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 33% | 0.54 | 9.7 |
| Inferno | 3 | 0% | 0.50 | 9.3 |
| Nuke | 2 | 100% | 1.37 | 13.5 |
| Vertigo | 1 | 0% | 0.55 | 11.0 |
| Overpass | 1 | 100% | 0.62 | 10.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.0504% — below the 15% mark we flag
- 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 0.3976 — 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 28.3907% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.10 | 14% | 28 Aug → | ||
| 8–13 | -0.10 | 5% | 27 Aug → | ||
| office | 6–13 | -0.01 | 13% | 27 Aug → | |
| office | 13–7 | 0.06 | 19% | 26 Aug → | |
| 10–13 | 0.08 | 20% | 26 Aug → | ||
| 11–13 | -0.04 | 10% | 26 Aug → | ||
| office | 7–13 | -0.05 | 19% | 25 Aug → | |
| office | 13–5 | -0.02 | 14% | 25 Aug → | |
| 13–9 | 0.03 | 24% | 25 Aug → | ||
| office | 5–13 | 0.03 | 14% | 25 Aug → | |
| office | 13–5 | -0.04 | 8% | 22 Aug → | |
| 13–2 | -0.01 | 11% | 22 Aug → | ||
| office | 7–13 | 0.12 | 24% | 20 Aug → | |
| office | 6–13 | -0.04 | 10% | 20 Aug → | |
| office | 11–13 | -0.01 | 14% | 19 Aug → | |
| 7–13 | 0.11 | 22% | 19 Aug → | ||
| office | 9–13 | -0.00 | 10% | 19 Aug → | |
| office | 8–5 | -0.01 | 13% | 19 Aug → | |
| office | 13–9 | -0.03 | 14% | 17 Aug → | |
| office | 13–4 | -0.08 | 15% | 15 Aug → | |
| office | 11–13 | -0.02 | 19% | 15 Aug → | |
| office | 13–5 | 0.06 | 20% | 14 Aug → | |
| 4–13 | -0.02 | 9% | 12 Aug → | ||
| office | 8–13 | 0.01 | 12% | 12 Aug → | |
| office | 13–9 | -0.02 | 23% | 11 Aug → | |
| office | 13–7 | 0.02 | 10% | 10 Aug → | |
| office | 4–13 | -0.06 | 8% | 10 Aug → | |
| office | 9–13 | 0.08 | 6% | 9 Aug → | |
| 13–10 | -0.01 | 4% | 9 Aug → | ||
| office | 13–1 | 0.00 | 18% | 9 Aug → | |
| office | 9–13 | 0.09 | 8% | 9 Aug → | |
| office | 13–9 | 0.13 | 24% | 8 Aug → | |
| office | 2–13 | 0.04 | 19% | 7 Aug → | |
| office | 3–13 | -0.01 | 9% | 7 Aug → | |
| office | 12–12 | -0.02 | 6% | 6 Aug → | |
| 13–3 | 0.13 | 35% | 6 Aug → | ||
| office | 10–13 | 0.03 | 15% | 5 Aug → | |
| office | 13–7 | 0.11 | 17% | 5 Aug → | |
| 6–13 | -0.04 | 33% | 5 Aug → | ||
| office | 9–13 | 0.00 | 24% | 5 Aug → | |
| office | 9–13 | -0.04 | 18% | 5 Aug → | |
| office | 13–1 | 0.05 | 12% | 4 Aug → | |
| office | 13–8 | 0.15 | 18% | 3 Aug → | |
| 12–12 | -0.03 | 14% | 3 Aug → | ||
| office | 12–12 | -0.04 | 17% | 1 Aug → | |
| office | 9–13 | -0.05 | 15% | 1 Aug → | |
| 6–13 | 0.03 | 18% | 1 Aug → | ||
| 13–8 | -0.02 | 15% | 30 Jul → | ||
| office | 13–3 | 0.12 | 22% | 30 Jul → | |
| office | 5–13 | 0.05 | 14% | 30 Jul → | |
| office | 13–7 | 0.08 | 16% | 30 Jul → | |
| office | 10–13 | 0.09 | 18% | 29 Jul → | |
| office | 0–2 | 0.00 | 0% | 29 Jul → | |
| office | 13–6 | -0.02 | 13% | 28 Jul → | |
| 10–13 | 0.08 | 13% | 28 Jul → | ||
| office | 13–3 | 0.01 | 21% | 27 Jul → | |
| office | 9–13 | 0.02 | 19% | 26 Jul → | |
| 1–13 | -0.03 | 47% | 26 Jul → | ||
| office | 13–5 | 0.01 | 21% | 26 Jul → | |
| office | 13–9 | -0.00 | 17% | 25 Jul → | |
| 1–13 | -0.02 | 14% | 24 Jul → | ||
| office | 13–11 | -0.01 | 12% | 24 Jul → | |
| office | 13–6 | 0.08 | 10% | 23 Jul → | |
| office | 13–11 | 0.00 | 28% | 22 Jul → | |
| office | 13–4 | -0.02 | 18% | 21 Jul → | |
| 12–12 | -0.01 | 29% | 21 Jul → | ||
| office | 13–8 | 0.02 | 19% | 21 Jul → | |
| office | 12–12 | -0.02 | 19% | 19 Jul → | |
| office | 13–5 | 0.02 | 14% | 19 Jul → | |
| 13–10 | 0.00 | 14% | 19 Jul → | ||
| office | 13–7 | 0.09 | 15% | 10 Jul → | |
| 11–13 | 0.05 | 21% | 10 Jul → | ||
| office | 13–2 | 0.01 | 20% | 10 Jul → | |
| 10–13 | 0.02 | 31% | 10 Jul → | ||
| 8–13 | 0.00 | 15% | 9 Jul → | ||
| 3–13 | -0.04 | 10% | 9 Jul → | ||
| office | 4–13 | -0.04 | 17% | 9 Jul → | |
| office | 13–11 | 0.01 | 13% | 8 Jul → | |
| 7–13 | -0.04 | 8% | 7 Jul → | ||
| office | 7–13 | -0.00 | 8% | 7 Jul → | |
| 11–13 | -0.05 | 22% | 7 Jul → | ||
| office | 10–13 | 0.03 | 10% | 5 Jul → | |
| 10–13 | 0.19 | 14% | 5 Jul → | ||
| office | 10–13 | -0.03 | 13% | 3 Jul → | |
| office | 7–13 | 0.05 | 12% | 3 Jul → | |
| office | 7–13 | -0.00 | 9% | 2 Jul → | |
| office | 13–4 | -0.04 | 12% | 2 Jul → | |
| 8–13 | -0.02 | 18% | 2 Jul → | ||
| 8–13 | -0.04 | 20% | 2 Jul → | ||
| 13–6 | 0.06 | 11% | 2 Jul → | ||
| office | 13–3 | 0.02 | 12% | 1 Jul → | |
| 13–0 | 0.07 | 19% | 29 Jun → | ||
| 11–13 | 0.07 | 16% | 29 Jun → | ||
| 4–13 | 0.02 | 10% | 29 Jun → | ||
| office | 13–6 | -0.05 | 12% | 29 Jun → | |
| 8–13 | -0.01 | 21% | 27 Jun → | ||
| office | 13–3 | 0.12 | 38% | 27 Jun → | |
| office | 13–6 | 0.01 | 21% | 27 Jun → | |
| 13–6 | 0.07 | 15% | 26 Jun → | ||
| 1–13 | -0.06 | 20% | 26 Jun → |
Match data via Leetify.