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Rival 3 Gen 2 - Black US vs Rival 5

🏆 Settled

Rival 5 — Pick the Rival 5 — it leads these groups: Design 1

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

The short answer

Rival 5 wins this comparison with a score of 49/100, ahead of Rival 3 Gen 2 - Black US (41).

The main differences: Max DPI (8500 DPI vs 18000 DPI) · Sensor (Optical vs TrueMove Air) · Weight (77 g vs 85 g).

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.

Rival 3 Gen 2 - Black US

Rival 3 Gen 2 - Black US

SteelSeries
41score / 100
1 win · 4 tied
🏆 Overall winner Rival 5

Rival 5

SteelSeries
49score / 100
2 wins · 3 tied

At a glance

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

Rival 3 Gen 2 - Black USRival 5
Performance 33 42
Design 30 67
Connect 63 64

How to choose

Pick the Rival 3 Gen 2 - Black US if you care about…

  • Weight 77 g +8 g vs 85 g

Pick the Rival 5 if you care about…

  • Max DPI 18000 DPI +9500 DPI vs 8500 DPI
  • Buttons 9 +4 vs 5

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Where they differ

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

Rival 3 Gen 2 - Black USRival 5Where they differ
Max DPI 8500 DPI18000 DPI Rival 5
Sensor OpticalTrueMove Air Depends
Weight 77 g85 g Rival 3 Gen 2 - Black US
Buttons 59 Rival 5

The record

Grouped and collapsible · Tap a group to fold

Performance3▾
Rival 3 Gen 2 - Black USRival 5
Max DPI 8500 DPI 18000 DPI
Sensor Optical TrueMove Air
Weight 77 g 85 g
Design2▾
Rival 3 Gen 2 - Black USRival 5
Buttons 5 9
RGB lighting — ✓
Connect1▾
Rival 3 Gen 2 - Black USRival 5
Wired ✓ —

Data sources: Amazon

FAQ

Which is better, Rival 3 Gen 2 - Black US or Rival 5?

Rival 5 has the higher overall score (49 vs 41) and leads in Design. Choose Rival 3 Gen 2 - Black US instead if Weight matters more to you.

What are the main differences?

The main differences: Max DPI (8500 DPI vs 18000 DPI) · Sensor (Optical vs TrueMove Air) · Weight (77 g vs 85 g).

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.