# Swampert-Mega - Cusca Champions Weekly ⚡ #10 (PCVGC) 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** | Swampert-Mega |
| **Tournament** | Cusca Champions Weekly ⚡ #10 (PCVGC) |
| **Rank** | 8 |
| **Usage** | 18.75% |
| **Win Rate** | N/A |
| **Record** | N/A |
| **Team Appearances** | 3 |
| **Standard Web Page** | https://www.pikalytics.com/tournaments/limitless/cusca-champions-weekly-10-pcvgc-51d7c7/Swampert-Mega |

## Common Moves

- **Wave Crash**: 100%
- **Earthquake**: 100%
- **Ice Punch**: 100%
- **Protect**: 100%

## Common Abilities

- **Damp**: 66.667%
- **Torrent**: 33.333%

## Common Items

- **Swampertite**: 100%

## Common Teammates

| Teammate | Usage |
|----------|-------|
| Pelipper | 66.667% |
| Gengar-Mega | 66.667% |
| Incineroar | 66.667% |
| Archaludon | 66.667% |
| Ampharos | 33.333% |
| Metagross | 33.333% |
| Dragonite-Mega | 33.333% |
| Grimmsnarl | 33.333% |
| Sinistcha | 33.333% |
| Politoed | 33.333% |
| Vivillon | 33.333% |

## Published Teams With Swampert-Mega

| Rank | Player | Record | Team |
|------|--------|--------|------|
| 1 | Wesley Stenio | 4-0 | Gengar-Mega, Incineroar, Sinistcha, Archaludon, Pelipper, Swampert-Mega |
| 4 | Lukas Marco Huhn | 3-1 | Gengar-Mega, Archaludon, Politoed, Swampert-Mega, Vivillon, Incineroar |
| 3 | sebastian barahona | 1-2 | Ampharos, Metagross, Dragonite-Mega, Grimmsnarl, Swampert-Mega, Pelipper |

## Related Pages

- [Tournament AI Data](https://www.pikalytics.com/ai/tournaments/limitless/cusca-champions-weekly-10-pcvgc-51d7c7)
- [Tournament Web Page](https://www.pikalytics.com/tournaments/limitless/cusca-champions-weekly-10-pcvgc-51d7c7)
- [Swampert-Mega Web Page](https://www.pikalytics.com/tournaments/limitless/cusca-champions-weekly-10-pcvgc-51d7c7/Swampert-Mega)

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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).*