Ukulele — CS2 Stats
76561198832504760[U:1:872239032]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid 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 ropz 87% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: higher opening-fight frequency; 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
Reaction time. 653ms 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 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 | 37 | 22–15 | 59% | -0.02 | |
| C | 14 | 5–9 | 36% | -0.02 | |
| B | 13 | 7–6 | 54% | -0.02 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| C | 10 | 4–6 | 40% | -0.02 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| warden | — | 1 | 1–0 | 100% | -0.09 |
| alpine | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 340 | 51% | 0.91 | 13.8 |
| Dust2 | 162 | 48% | 0.89 | 13.5 |
| Ancient | 112 | 43% | 0.86 | 14.1 |
| Inferno | 108 | 49% | 0.90 | 14.0 |
| Anubis | 100 | 52% | 0.92 | 13.6 |
| Nuke | 47 | 45% | 0.97 | 14.8 |
| Train | 31 | 58% | 1.15 | 15.8 |
| Overpass | 30 | 40% | 0.75 | 11.4 |
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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.02 | 15% | 23 Aug → | ||
| 13–6 | 0.04 | 22% | 21 Aug → | ||
| 9–13 | -0.05 | 22% | 17 Aug → | ||
| 5–13 | -0.01 | 19% | 15 Aug → | ||
| 8–13 | -0.00 | 28% | 10 Aug → | ||
| 13–11 | -0.01 | 38% | 30 Jul → | ||
| 13–11 | -0.02 | 18% | 28 Jul → | ||
| 13–7 | 0.08 | 24% | 23 Jul → | ||
| 13–9 | -0.05 | 18% | 23 Jul → | ||
| 7–13 | -0.03 | 10% | 22 Jul → | ||
| 9–13 | -0.03 | 27% | 17 Jul → | ||
| 10–13 | -0.03 | 18% | 17 Jul → | ||
| 11–13 | -0.00 | 19% | 17 Jul → | ||
| 13–8 | 0.04 | 29% | 11 Jul → | ||
| 13–7 | 0.03 | 17% | 5 Jul → | ||
| 13–8 | 0.02 | 16% | 3 Jul → | ||
| 9–13 | -0.07 | 27% | 2 Jul → | ||
| 9–13 | 0.03 | 31% | 28 Jun → | ||
| 13–2 | 0.14 | 19% | 27 Jun → | ||
| 13–6 | 0.01 | 17% | 25 Jun → | ||
| 16–19 | 0.05 | 19% | 24 Jun → | ||
| 17–19 | -0.04 | 22% | 24 Jun → | ||
| 9–13 | 0.02 | 25% | 24 Jun → | ||
| 13–9 | -0.03 | 24% | 18 Jun → | ||
| 13–3 | 0.02 | 16% | 18 Jun → | ||
| 5–13 | 0.06 | 32% | 18 Jun → | ||
| 13–16 | 0.02 | 30% | 16 Jun → | ||
| 10–13 | -0.03 | 27% | 11 Jun → | ||
| 7–13 | -0.06 | 16% | 11 Jun → | ||
| 13–7 | -0.04 | 9% | 10 Jun → | ||
| 13–6 | 0.02 | 18% | 10 Jun → | ||
| 13–7 | 0.01 | 18% | 8 Jun → | ||
| 10–13 | 0.13 | 30% | 7 Jun → | ||
| 1–13 | -0.10 | 9% | 4 Jun → | ||
| 2–13 | -0.09 | 15% | 4 Jun → | ||
| 8–13 | -0.02 | 20% | 3 Jun → | ||
| 13–6 | -0.02 | 19% | 3 Jun → | ||
| 13–16 | 0.03 | 27% | 2 Jun → | ||
| 16–14 | -0.04 | 19% | 22 May → | ||
| 7–13 | -0.02 | 23% | 20 May → | ||
| 11–13 | -0.05 | 21% | 20 May → | ||
| 6–13 | -0.02 | 29% | 19 May → | ||
| 13–9 | 0.01 | 20% | 18 May → | ||
| 25–22 | 0.01 | 16% | 17 May → | ||
| 17–19 | 0.01 | 12% | 17 May → | ||
| 6–13 | -0.10 | 4% | 17 May → | ||
| 13–11 | -0.01 | 14% | 17 May → | ||
| 5–13 | 0.01 | 25% | 15 May → | ||
| 5–13 | -0.06 | 16% | 15 May → | ||
| 13–9 | 0.01 | 33% | 14 May → | ||
| 13–11 | -0.01 | 21% | 14 May → | ||
| 13–9 | 0.00 | 21% | 12 May → | ||
| 13–8 | 0.01 | 20% | 12 May → | ||
| 2–13 | -0.04 | 26% | 12 May → | ||
| 13–10 | -0.01 | 18% | 12 May → | ||
| 14–16 | -0.05 | 22% | 9 May → | ||
| 6–13 | -0.04 | 9% | 9 May → | ||
| 1–13 | -0.10 | 30% | 5 May → | ||
| 2–13 | -0.00 | 43% | 5 May → | ||
| 5–13 | -0.06 | 4% | 4 May → | ||
| 5–13 | -0.06 | 17% | 4 May → | ||
| 13–11 | -0.02 | 12% | 4 May → | ||
| 3–13 | -0.03 | 21% | 4 May → | ||
| 13–5 | 0.01 | 9% | 4 May → | ||
| 7–13 | -0.05 | 25% | 3 May → | ||
| 10–13 | -0.04 | 8% | 3 May → | ||
| 13–4 | -0.04 | 21% | 3 May → | ||
| 9–13 | -0.01 | 10% | 2 May → | ||
| 13–11 | 0.00 | 20% | 2 May → | ||
| 22–20 | -0.04 | 18% | 1 May → | ||
| 13–16 | 0.05 | 16% | 1 May → | ||
| warden | 13–8 | -0.09 | 23% | 1 May → | |
| alpine | 3–3 | 0.06 | 33% | 1 May → | |
| 4–13 | -0.04 | 10% | 1 May → | ||
| 13–10 | -0.02 | 9% | 30 Apr → | ||
| 4–13 | -0.07 | 27% | 29 Apr → | ||
| 4–13 | -0.07 | 27% | 29 Apr → | ||
| 11–13 | -0.01 | 20% | 28 Apr → | ||
| 13–3 | -0.04 | 18% | 27 Apr → | ||
| 9–13 | -0.07 | 27% | 27 Apr → | ||
| 13–10 | 0.02 | 14% | 27 Apr → | ||
| 8–13 | -0.06 | 7% | 26 Apr → | ||
| 13–6 | -0.02 | 15% | 26 Apr → | ||
| 5–13 | -0.04 | 24% | 26 Apr → | ||
| 12–16 | -0.03 | 11% | 26 Apr → | ||
| 4–13 | -0.01 | 17% | 26 Apr → | ||
| 13–8 | -0.04 | 21% | 25 Apr → | ||
| 13–9 | -0.02 | 8% | 25 Apr → | ||
| 14–16 | 0.00 | 18% | 23 Apr → | ||
| 13–10 | -0.03 | 17% | 19 Apr → | ||
| 13–8 | 0.00 | 14% | 19 Apr → | ||
| 13–8 | -0.04 | 4% | 18 Apr → | ||
| 13–4 | -0.08 | 26% | 18 Apr → | ||
| 13–8 | 0.01 | 8% | 17 Apr → | ||
| 13–8 | -0.05 | 17% | 17 Apr → | ||
| 3–13 | -0.06 | 20% | 17 Apr → | ||
| 13–9 | -0.05 | 31% | 16 Apr → | ||
| 13–10 | -0.00 | 8% | 16 Apr → | ||
| 13–8 | 0.06 | 18% | 16 Apr → | ||
| 13–2 | -0.03 | 13% | 15 Apr → |
Match data via Leetify.
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