G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g vs G-Wolves Hati-S Open Source Wireless Mouse ~58g
The short answer
G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g wins this comparison with a score of 49.9/100, ahead of G-Wolves Hati-S Open Source Wireless Mouse ~58g (49.5).
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.
G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g
G-Wolves
At a glance
0–100 per group, normalized within the category · Tap a group for details
| G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g | G-Wolves Hati-S Open Source Wireless Mouse ~58g | |
|---|---|---|
| Performance | 66 | 63 |
| Design | 33 | 33 |
| Connect | 63 | 64 |
| Battery | 2 | 4 |
Best price now
Cheap alternatives
Razer Viper V3 Pro
Logitech G Pro X Superlight 2
Zowie EC2-CW
Glorious Model I 2
Pulsar X2V2 Mini
Logitech MX Master 3S
The record
Grouped and collapsible · Tap a group to fold
Performance2▾
| G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g | G-Wolves Hati-S Open Source Wireless Mouse ~58g | |
|---|---|---|
| Sensor | Optical | — |
| Weight | 37 g | — |
Design1▾
| G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g | G-Wolves Hati-S Open Source Wireless Mouse ~58g | |
|---|---|---|
| Buttons | 6 | — |
Connect1▾
| G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g | G-Wolves Hati-S Open Source Wireless Mouse ~58g | |
|---|---|---|
| Wired | ✓ | — |
Battery1▾
| G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g | G-Wolves Hati-S Open Source Wireless Mouse ~58g | |
|---|---|---|
| Battery life | 40 h | — |
Data sources: Amazon
FAQ
Which is better, G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g or G-Wolves Hati-S Open Source Wireless Mouse ~58g?
G-Wolves Hati-S ACE Wireless Gaming Mouse ~56g edges ahead 50 to 50.
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.