# Raichu-Mega-Y - Sunday Nightmare Invitational 04 Tournament Stats

> Machine-readable tournament-specific Pokemon usage, win rate, best moves, items, abilities, best team partners, and team appearances from Pikalytics.

## Quick Info

| Property | Value |
|----------|-------|
| **Pokemon** | Raichu-Mega-Y |
| **Tournament** | Sunday Nightmare Invitational 04 |
| **Rank** | 8 |
| **Usage** | 27.273% |
| **Win Rate** | N/A |
| **Record** | N/A |
| **Team Appearances** | 3 |
| **Standard Web Page** | https://www.pikalytics.com/tournaments/limitless/sunday-nightmare-invitational-04-27dd26/Raichu-Mega-Y |

## Common Moves

- **Zap Cannon**: 100%
- **Focus Blast**: 100%
- **Protect**: 100%
- **Encore**: 66.667%
- **Fake Out**: 33.333%

## Common Abilities

- **Lightning Rod**: 100%

## Common Items

- **Raichunite Y**: 100%

## Common Teammates

| Teammate | Usage |
|----------|-------|
| Rillaboom | 100% |
| Arcanine-Hisui | 100% |
| Gholdengo | 66.667% |
| Salamence-Mega | 33.333% |
| Sneasler | 33.333% |
| Staraptor-Mega | 33.333% |
| Primarina | 33.333% |
| Milotic | 33.333% |
| Farigiraf | 33.333% |
| Golisopod-Mega | 33.333% |

## Published Teams With Raichu-Mega-Y

| Rank | Player | Record | Team |
|------|--------|--------|------|
| 2 | NMR \| Ash Ketchum | 5-1 | Salamence-Mega, Raichu-Mega-Y, Rillaboom, Arcanine-Hisui, Gholdengo, Sneasler |
| 7 | ArttD | 2-2 | Raichu-Mega-Y, Staraptor-Mega, Rillaboom, Arcanine-Hisui, Primarina, Gholdengo |
| 10 | Fabiogreen | 1-3 | Rillaboom, Arcanine-Hisui, Milotic, Raichu-Mega-Y, Farigiraf, Golisopod-Mega |

## Related Pages

- [Tournament AI Data](https://www.pikalytics.com/ai/tournaments/limitless/sunday-nightmare-invitational-04-27dd26)
- [Tournament Web Page](https://www.pikalytics.com/tournaments/limitless/sunday-nightmare-invitational-04-27dd26)
- [Raichu-Mega-Y Web Page](https://www.pikalytics.com/tournaments/limitless/sunday-nightmare-invitational-04-27dd26/Raichu-Mega-Y)

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*Generated by [Pikalytics](https://www.pikalytics.com). For more context, see [llms-full.txt](https://www.pikalytics.com/llms-full.txt).*