Lofree PETAL vs EM01 NL Trackball Ergonomic Mouse
EM01 NL Trackball Ergonomic Mouse — Pick the EM01 NL Trackball Ergonomic Mouse — it leads these groups: Performance 1 Design 1
Tap a group name to see the proof · The scoring method is public
The short answer
EM01 NL Trackball Ergonomic Mouse wins this comparison with a score of 54/100, ahead of Lofree PETAL (37).
The main differences: Weight (85 g vs 2.4 g) · Buttons (5 vs 6).
Scores are computed from 7 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| Lofree PETAL | EM01 NL Trackball Ergonomic Mouse | |
|---|---|---|
| Performance | 24 | 77 |
| Design | 15 | 33 |
| Connect | 64 | 68 |
How to choose
Pick the EM01 NL Trackball Ergonomic Mouse if you care about…
- Weight 2.4 g +82.6 g vs 85 g
- Buttons 6 +1 vs 5
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Where they differ
2 · Only rows that actually differ, with a verdict per row
| Lofree PETAL | EM01 NL Trackball Ergonomic Mouse | Where they differ | |
|---|---|---|---|
| Weight | 85 g | 2.4 g | EM01 NL Trackball Ergonomic Mouse |
| Buttons | 5 | 6 | EM01 NL Trackball Ergonomic Mouse |
The record
Grouped and collapsible · Tap a group to fold
Performance3▾
| Lofree PETAL | EM01 NL Trackball Ergonomic Mouse | |
|---|---|---|
| Max DPI | 3200 DPI | — |
| Sensor | — | Trackball |
| Weight | 85 g | 2.4 g |
Design2▾
| Lofree PETAL | EM01 NL Trackball Ergonomic Mouse | |
|---|---|---|
| Buttons | 5 | 6 |
| RGB lighting | — | — |
Connect2▾
| Lofree PETAL | EM01 NL Trackball Ergonomic Mouse | |
|---|---|---|
| Wired | — | — |
| 2.4GHz wireless | ✓ | — |
Data sources: Amazon
FAQ
Which is better, Lofree PETAL or EM01 NL Trackball Ergonomic Mouse?
EM01 NL Trackball Ergonomic Mouse has the higher overall score (54 vs 37) and leads in Performance, Design.
What are the main differences?
The main differences: Weight (85 g vs 2.4 g) · Buttons (5 vs 6).
How are the scores calculated?
We normalize 7 public spec attributes within the category and weight them by group into a 0–100 score; missing values are inherited from spec-identical twins or imputed at the category median, so a sparse spec sheet never earns an advantage. The methodology is public.