Dubby — CS2 Stats
GS76561198014256333[U:1:53990605]Steam profile ↗✓ No bans
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 | 52.3% | 52.0% |
| Shot accuracy | 16.9% | 13.7% |
| Kill/death ratio | 1.22 | 1.08 |
| Match win rate | 47.5% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafing
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 95% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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 7.2/10 (Strong), 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 |
|---|---|---|---|---|---|
| C | 24 | 10–14 | 42% | 0.01 | |
| A | 22 | 12–10 | 55% | 0.01 | |
| A | 14 | 8–6 | 57% | 0.01 | |
| B | 13 | 7–6 | 54% | 0.01 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| S | 6 | 4–2 | 67% | 0.02 | |
| — | 2 | 0–2 | 0% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (42% over 24). 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 resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 40 | 45% | 1.43 | 17.2 |
| Anubis | 38 | 63% | 1.66 | 21.1 |
| Inferno | 32 | 44% | 1.53 | 17.7 |
| Mirage | 25 | 32% | 1.28 | 15.9 |
| Dust2 | 23 | 74% | 1.33 | 20.5 |
| Overpass | 8 | 38% | 1.20 | 20.5 |
| Train | 7 | 57% | 1.25 | 18.4 |
| Vertigo | 7 | 43% | 1.24 | 15.6 |
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.
42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | -0.06 | 18% | 20 Aug → | ||
| 13–9 | 0.05 | 24% | 20 Aug → | ||
| 5–13 | -0.04 | 30% | 20 Aug → | ||
| 11–13 | 0.02 | 19% | 20 Aug → | ||
| 9–13 | -0.01 | 16% | 1 Aug → | ||
| 13–6 | -0.00 | 19% | 1 Aug → | ||
| 9–13 | 0.04 | 32% | 1 Aug → | ||
| 6–1 | 0.03 | 19% | 1 Aug → | ||
| 13–6 | 0.01 | 16% | 1 Aug → | ||
| 13–10 | -0.04 | 11% | 1 Aug → | ||
| 5–13 | -0.02 | 23% | 1 Aug → | ||
| 13–9 | -0.02 | 30% | 1 Aug → | ||
| 7–13 | 0.05 | 25% | 1 Aug → | ||
| 13–4 | -0.07 | 13% | 1 Aug → | ||
| 2–13 | 0.08 | 27% | 23 Jul → | ||
| 13–8 | 0.02 | 23% | 23 Jul → | ||
| 16–13 | 0.03 | 22% | 23 Jul → | ||
| 4–13 | -0.07 | 21% | 11 Jun → | ||
| 10–13 | -0.02 | 17% | 11 Jun → | ||
| 15–15 | 0.05 | 26% | 11 Jun → | ||
| 13–7 | 0.01 | 20% | 11 Jun → | ||
| 13–11 | 0.00 | 17% | 13 May → | ||
| 12–12 | 0.04 | 25% | 13 May → | ||
| 11–13 | -0.01 | 28% | 13 May → | ||
| 13–10 | 0.05 | 37% | 13 May → | ||
| 13–10 | 0.03 | 27% | 26 Apr → | ||
| 13–4 | 0.12 | 31% | 26 Apr → | ||
| 13–6 | 0.01 | 26% | 26 Apr → | ||
| 6–13 | -0.01 | 19% | 24 Apr → | ||
| 1–7 | -0.14 | 17% | 24 Apr → | ||
| 7–13 | -0.03 | 23% | 23 Apr → | ||
| 13–10 | 0.05 | 14% | 23 Apr → | ||
| 8–13 | -0.03 | 29% | 11 Apr → | ||
| 13–11 | 0.02 | 32% | 11 Apr → | ||
| 16–13 | -0.01 | 33% | 11 Apr → | ||
| 13–10 | 0.02 | 21% | 11 Apr → | ||
| 9–13 | -0.01 | 21% | 2 Apr → | ||
| 13–11 | 0.01 | 30% | 4 Mar → | ||
| 8–13 | 0.04 | 15% | 4 Mar → | ||
| 6–13 | 0.01 | 25% | 4 Mar → | ||
| 3–13 | 0.01 | 10% | 4 Mar → | ||
| 6–13 | 0.01 | 38% | 25 Feb → | ||
| 7–13 | -0.04 | 24% | 25 Feb → | ||
| 13–10 | 0.06 | 32% | 25 Feb → | ||
| 13–11 | 0.08 | 13% | 22 Feb → | ||
| 8–13 | 0.01 | 29% | 22 Feb → | ||
| 3–13 | 0.01 | 32% | 22 Feb → | ||
| 10–13 | 0.01 | 23% | 19 Feb → | ||
| 13–7 | 0.07 | 33% | 19 Feb → | ||
| 13–4 | 0.08 | 24% | 19 Feb → | ||
| 5–13 | 0.01 | 29% | 19 Feb → | ||
| 13–5 | -0.06 | 29% | 13 Feb → | ||
| 3–13 | -0.09 | 13% | 13 Feb → | ||
| 10–13 | -0.04 | 15% | 13 Feb → | ||
| 1–7 | -0.10 | 60% | 12 Feb → | ||
| 13–9 | -0.05 | 18% | 6 Feb → | ||
| 13–8 | -0.01 | 42% | 6 Feb → | ||
| 6–13 | 0.02 | 20% | 6 Feb → | ||
| 16–13 | 0.03 | 41% | 6 Feb → | ||
| 13–1 | 0.03 | 20% | 6 Feb → | ||
| 13–3 | 0.02 | 19% | 5 Feb → | ||
| 8–13 | -0.01 | 28% | 5 Feb → | ||
| 16–12 | -0.05 | 17% | 5 Feb → | ||
| 8–2 | 0.17 | 22% | 5 Feb → | ||
| 13–11 | 0.02 | 26% | 30 Jan → | ||
| 8–13 | 0.02 | 31% | 30 Jan → | ||
| 16–13 | -0.04 | 15% | 30 Jan → | ||
| 13–4 | 0.04 | 17% | 20 Jan → | ||
| 13–10 | -0.00 | 11% | 20 Jan → | ||
| 13–8 | 0.02 | 26% | 20 Jan → | ||
| 4–13 | -0.01 | 11% | 16 Jan → | ||
| 6–13 | -0.03 | 24% | 16 Jan → | ||
| 10–13 | -0.05 | 39% | 10 Jan → | ||
| 13–7 | 0.03 | 19% | 10 Jan → | ||
| 13–2 | 0.08 | 34% | 7 Jan → | ||
| 13–10 | 0.05 | 50% | 7 Jan → | ||
| 5–2 | 0.10 | 40% | 7 Jan → | ||
| 13–7 | 0.09 | 32% | 7 Jan → | ||
| 13–10 | 0.01 | 30% | 4 Jan → | ||
| 11–13 | 0.00 | 12% | 4 Jan → | ||
| 13–16 | -0.01 | 22% | 4 Jan → | ||
| 11–13 | 0.02 | 21% | 2 Jan → | ||
| 14–16 | 0.03 | 19% | 2 Jan → | ||
| 4–13 | -0.03 | 21% | 29 Dec → | ||
| 13–10 | -0.04 | 14% | 29 Dec → | ||
| 15–15 | 0.01 | 39% | 29 Dec → | ||
| 13–5 | -0.03 | 38% | 29 Dec → | ||
| 6–13 | -0.06 | 23% | 29 Dec → | ||
| 11–13 | 0.02 | 35% | 29 Dec → | ||
| 13–1 | 0.15 | 32% | 29 Dec → | ||
| 7–13 | 0.02 | 33% | 29 Dec → | ||
| 13–8 | 0.03 | 18% | 28 Dec → | ||
| 8–13 | -0.01 | 24% | 28 Dec → | ||
| 13–11 | -0.04 | 27% | 28 Dec → | ||
| 13–2 | -0.02 | 14% | 25 Dec → | ||
| 13–6 | 0.01 | 27% | 25 Dec → | ||
| 6–13 | -0.03 | 16% | 25 Dec → | ||
| 12–12 | 0.01 | 23% | 16 Dec → | ||
| 13–10 | 0.07 | 20% | 16 Dec → | ||
| 8–13 | -0.04 | 10% | 16 Dec → |
Match data via Leetify.