# Sneasler - Sunday Sabong #4 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** | Sneasler |
| **Tournament** | Sunday Sabong #4 |
| **Rank** | 5 |
| **Usage** | 30.769% |
| **Win Rate** | N/A |
| **Record** | N/A |
| **Team Appearances** | 4 |
| **Standard Web Page** | https://www.pikalytics.com/tournaments/limitless/sunday-sabong-4-36754f/Sneasler |

## Common Moves

- **Close Combat**: 100%
- **Dire Claw**: 75%
- **Fake Out**: 75%
- **Rock Slide**: 50%
- **Protect**: 50%
- **Quick Guard**: 25%
- **Gunk Shot**: 25%

## Common Abilities

- **Unburden**: 100%

## Common Items

- **White Herb**: 100%

## Common Teammates

| Teammate | Usage |
|----------|-------|
| Rillaboom | 50% |
| Tyranitar-Mega | 25% |
| Excadrill | 25% |
| Rotom-Heat | 25% |
| Indeedee | 25% |
| Sceptile-Mega | 25% |
| Salamence-Mega | 25% |
| Milotic | 25% |
| Gholdengo | 25% |
| Glimmora | 25% |
| Dragonite-Mega | 25% |
| Kingambit | 25% |

## Published Teams With Sneasler

| Rank | Player | Record | Team |
|------|--------|--------|------|
| 3 | Jem Reyes | 4-3 | Tyranitar-Mega, Excadrill, Rotom-Heat, Sneasler, Indeedee, Sceptile-Mega |
| 6 | Marv Adrian Panuncillo | 4-2 | Salamence-Mega, Milotic, Gholdengo, Sneasler, Glimmora, Rillaboom |
| 8 | Vinz Enjel Punay | 3-3 | Dragonite-Mega, Sneasler, Rillaboom, Kingambit, Delphox-Mega, Basculegion |
| 12 | Zendrick Laurente | 0-3 | Farigiraf, Incineroar, Torkoal, Sneasler, Sylveon, Garchomp-Mega-Z |

## Related Pages

- [Tournament AI Data](https://www.pikalytics.com/ai/tournaments/limitless/sunday-sabong-4-36754f)
- [Tournament Web Page](https://www.pikalytics.com/tournaments/limitless/sunday-sabong-4-36754f)
- [Sneasler Web Page](https://www.pikalytics.com/tournaments/limitless/sunday-sabong-4-36754f/Sneasler)

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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).*