Rival 3 Gen 2 - Black US vs Rival 5
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.
At a glance
0–100 per group, normalized within the category · Tap a group for details
| Rival 3 Gen 2 - Black US | Rival 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 US | Rival 5 | Where they differ | |
|---|---|---|---|
| Max DPI | 8500 DPI | 18000 DPI | Rival 5 |
| Sensor | Optical | TrueMove Air | Depends |
| Weight | 77 g | 85 g | Rival 3 Gen 2 - Black US |
| Buttons | 5 | 9 | Rival 5 |
The record
Grouped and collapsible · Tap a group to fold
Performance3▾
| Rival 3 Gen 2 - Black US | Rival 5 | |
|---|---|---|
| Max DPI | 8500 DPI | 18000 DPI |
| Sensor | Optical | TrueMove Air |
| Weight | 77 g | 85 g |
Design2▾
| Rival 3 Gen 2 - Black US | Rival 5 | |
|---|---|---|
| Buttons | 5 | 9 |
| RGB lighting | — | ✓ |
Connect1▾
| Rival 3 Gen 2 - Black US | Rival 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.
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