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G502 X Plus Wireless RGB Gaming Mouse vs G502 X Gaming Mouse

🏆 Settled

G502 X Plus Wireless RGB Gaming Mouse — Pick the G502 X Plus Wireless RGB Gaming Mouse — it leads these groups: Design 1

Tap a group name to see the proof · The scoring method is public

The short answer

G502 X Plus Wireless RGB Gaming Mouse wins this comparison with a score of 56/100, ahead of G502 X Gaming Mouse (53).

The main differences: Buttons (13 vs 9).

Scores are computed from 4 public spec attributes; missing values stay marked unknown in tables and are imputed at the category median, never passed off as measured.

🏆 Overall winner G502 X Plus Wireless RGB Gaming Mouse

G502 X Plus Wireless RGB Gaming Mouse

Logitech
56score / 100
1 win · 2 tied
G502 X Gaming Mouse

G502 X Gaming Mouse

Logitech
53score / 100
0 wins · 3 tied

At a glance

0–100 per group, normalized within the category · Tap a group for details

G502 X Plus Wireless RGB Gaming MouseG502 X Gaming Mouse
Performance 61 61
Design 82 67
Connect 63 63
Battery 7 4

How to choose

Pick the G502 X Plus Wireless RGB Gaming Mouse if you care about…

  • Buttons 13 +4 vs 9

Best price now

Cheap alternatives

Where they differ

1 · Only rows that actually differ, with a verdict per row

G502 X Plus Wireless RGB Gaming MouseG502 X Gaming MouseWhere they differ
Buttons 139 G502 X Plus Wireless RGB Gaming Mouse

The record

Grouped and collapsible · Tap a group to fold

Performance1▾
G502 X Plus Wireless RGB Gaming MouseG502 X Gaming Mouse
Sensor Optical Optical
Design1▾
G502 X Plus Wireless RGB Gaming MouseG502 X Gaming Mouse
Buttons 13 9
Connect1▾
G502 X Plus Wireless RGB Gaming MouseG502 X Gaming Mouse
Wired ✓ ✓
Battery1▾
G502 X Plus Wireless RGB Gaming MouseG502 X Gaming Mouse
Battery life 130 h —

Data sources: Amazon

FAQ

Which is better, G502 X Plus Wireless RGB Gaming Mouse or G502 X Gaming Mouse?

G502 X Plus Wireless RGB Gaming Mouse has the higher overall score (56 vs 53) and leads in Design.

What are the main differences?

The main differences: Buttons (13 vs 9).

How are the scores calculated?

We normalize 4 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.