Logitech G502 HERO vs Logitech G502 X PLUS
Logitech G502 X PLUS — Pick the Logitech G502 X PLUS — it leads these groups: Performance 1 Design 1 Connect 1
Tap a group name to see the proof · The scoring method is public
The short answer
Logitech G502 X PLUS wins this comparison with a score of 51/100, ahead of Logitech G502 HERO (44).
The main differences: Weight (121 g vs 106 g) · Buttons (11 vs 13) · 2.4GHz wireless (— vs ✓).
Scores are computed from 6 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
| Logitech G502 HERO | Logitech G502 X PLUS | |
|---|---|---|
| Performance | 39 | 44 |
| Design | 74 | 82 |
| Connect | 32 | 64 |
How to choose
Pick the Logitech G502 X PLUS if you care about…
- Weight 106 g +15 g vs 121 g
- Buttons 13 +2 vs 11
- 2.4GHz wireless ✓ vs —
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Where they differ
3 · Only rows that actually differ, with a verdict per row
| Logitech G502 HERO | Logitech G502 X PLUS | Where they differ | |
|---|---|---|---|
| Weight | 121 g | 106 g | Logitech G502 X PLUS |
| Buttons | 11 | 13 | Logitech G502 X PLUS |
| 2.4GHz wireless | — | ✓ | Logitech G502 X PLUS |
The record
Grouped and collapsible · Tap a group to fold
Performance3▾
| Logitech G502 HERO | Logitech G502 X PLUS | |
|---|---|---|
| Max DPI | 25600 DPI | 25600 DPI |
| Sensor | Logitech Hero 25K | Logitech Hero 25K |
| Weight | 121 g | 106 g |
Design2▾
| Logitech G502 HERO | Logitech G502 X PLUS | |
|---|---|---|
| Buttons | 11 | 13 |
| RGB lighting | ✓ | ✓ |
Connect1▾
| Logitech G502 HERO | Logitech G502 X PLUS | |
|---|---|---|
| 2.4GHz wireless | — | ✓ |
FAQ
Which is better, Logitech G502 HERO or Logitech G502 X PLUS?
Logitech G502 X PLUS has the higher overall score (51 vs 44) and leads in Performance, Design, Connect.
What are the main differences?
The main differences: Weight (121 g vs 106 g) · Buttons (11 vs 13) · 2.4GHz wireless (— vs ✓).
How are the scores calculated?
We normalize 6 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.