X2H v3 eS Medium Gaming Mouse vs X2H v3 eS Mini Gaming Mouse
The short answer
It's a close call: X2H v3 eS Medium Gaming Mouse / X2H v3 eS Mini Gaming Mouse both land at 51/100.
Scores are computed from 5 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
| X2H v3 eS Medium Gaming Mouse | X2H v3 eS Mini Gaming Mouse | |
|---|---|---|
| Performance | 67 | 67 |
| Design | 30 | 30 |
| Connect | 68 | 68 |
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The record
Grouped and collapsible · Tap a group to fold
Performance3▾
| X2H v3 eS Medium Gaming Mouse | X2H v3 eS Mini Gaming Mouse | |
|---|---|---|
| Max DPI | 32000 DPI | 32000 DPI |
| Sensor | Optical | Optical |
| Weight | 60 g | 60 g |
Design1▾
| X2H v3 eS Medium Gaming Mouse | X2H v3 eS Mini Gaming Mouse | |
|---|---|---|
| Buttons | 5 | 5 |
Connect1▾
| X2H v3 eS Medium Gaming Mouse | X2H v3 eS Mini Gaming Mouse | |
|---|---|---|
| Wired | — | — |
Data sources: Amazon
FAQ
Which is better, X2H v3 eS Medium Gaming Mouse or X2H v3 eS Mini Gaming Mouse?
It's a close call: X2H v3 eS Medium Gaming Mouse / X2H v3 eS Mini Gaming Mouse both land at 51/100.
What are the main differences?
Scores are computed from 5 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.
How are the scores calculated?
We normalize 5 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.