People · United States
Sam Arnese
3×3 · top 74.3% of 288,433 all-time · competing since August 2026 · 2026ARNE01
Sam Arnese has been competing for 3 months. Their best event is the 3×3: a personal-best single of 37.85, set at Davis Big Summer 2026, puts them in the top 74.3% of the 288,433 people who have ever been ranked in the event, and 45,950th in the United States. Across 2 competitions since August 2026, they have put 12 official solves on the record across two events. Sam has entered two competitions.
Standing, event by event
vs everyone ever ranked| Event | PB single | PB average | All-time standing | United States | |
|---|---|---|---|---|---|
| 3×3 | 37.85 | 50.27 | top 74.3% | 45,950 / 60,666 | |
| 3×3 one-handed | 2:06.18 | — | early days — 2 solves | 15,670 / 15,900 |
Percentile against all competitors ever ranked in each event, a fairer measure than raw rank, because the pools differ by a factor of ten.
The line so far
Best single per competition, 3×3. Faster is higher — the axis is the right way up.
The story so far
- 8 Aug 2026First competition: Davis Big Summer 2026. A 37.85 3×3 single to start from.
Competitions
- Bay Area Speedcubin' 69 2026 · 29 Aug 2026
- Davis Big Summer 2026 · 8 Aug 2026
Reading this page: a single is one solve's time · an average is the middle three of five solves, best and worst discarded · a PB is a personal best · a DNF (did not finish) is an attempt with no valid result: a popped piece, an unsolved face, an over-limit memorisation · top X% compares against everyone ever ranked in that event, which is fairer than raw rank because event pools differ tenfold.
The circuit
The people whose scorecards keep turning up next to their.
- Bowen Deng (邓博文) — met in 3 rounds, never finished ahead
- Abhimanyu Singhal (अभिमन्यु सिंघल) — met in 3 rounds, never finished ahead
- Brendan White — met in 3 rounds, never finished ahead
Next targets
- A sub-30 3×3 single — 180,530 people have one; it is 7.85 away.
- A sub-2:00 3×3 one-handed single — 73,275 people have one; it is 6.18 away.
Targets move as they improves.