# Dracovish - Best Builds, Moves and Teams in Series 6 Battle Stadium Doubles

> Find the best Dracovish builds, best moves, best teams, usage trends, and counters in Series 6 Battle Stadium Doubles. Data from Pikalytics.

## Best Dracovish Quick Info

| Property | Value |
|----------|-------|
| **Format** | Series 6 Battle Stadium Doubles (`series6`) |
| **Game** | Pokemon Scarlet Violet |
| **Category** | series6 |
| **Usage** | 9% |
| **Win Rate** | N/A |
| **Record** | N/A |
| **Data Date** | 2026-05 |

## Page Links

- **Standard Web Page** (for users): [View on Pikalytics](https://www.pikalytics.com/pokedex/series6/Dracovish)
- **AI Data** (this page): https://www.pikalytics.com/ai/pokedex/series6/Dracovish
- **Format Overview**: [Series 6 Battle Stadium Doubles Pokedex](https://www.pikalytics.com/pokedex/series6)
- **AI Format Index**: [/ai/pokedex/series6](https://www.pikalytics.com/ai/pokedex/series6)

---

Pikalytics provides the premier competitive Pokemon database, aggregating data from millions of ranked battles on official platforms and Smogon. This report summarizes the current meta-game role and effectiveness of Dracovish.

## Defensive Type Matchups

| Category | Attacking Types |
|----------|-----------------|
| **Weak To** | Dragon (2x), Fairy (2x) |
| **Resists** | Fire (1/4x), Water (1/4x), Steel (1/2x) |
| **Immune To** | None |

**Ability Notes**: Water Absorb: Water moves become 0x.

## Common Moves
- **Fishious Rend**: 99.974%
- **Psychic Fangs**: 82.531%
- **Rock Slide**: 68.810%
- **Crunch**: 52.468%
- **Dragon Rush**: 25.852%
- **Outrage**: 23.989%
- **Earthquake**: 14.071%
- **Ice Fang**: 9.698%
- **Protect**: 4.886%
- **Other**: 17.722%

## Common Abilities
- **Strong Jaw**: 98.466%
- **Water Absorb**: 1.534%

## Common Items
- **Choice Scarf**: 74.873%
- **Choice Band**: 20.117%
- **Mystic Water**: 1.176%
- **Other**: 3.834%

## Common Teammates
- **Talonflame**: 54.283%
- **Urshifu**: 43.485%
- **Clefairy**: 25.352%
- **Porygon-Z**: 23.974%
- **Lapras**: 16.888%
- **Duraludon**: 16.020%

## FAQ for Dracovish in series6-1760

### What are the top moves for Dracovish?
The most common moves for Dracovish are Fishious Rend, Psychic Fangs, Rock Slide, Crunch. These represent the highest usage percentages on the ladder.

### What are the best team partners for Dracovish?
Dracovish is frequently paired with Talonflame, Urshifu, Clefairy, Porygon-Z. These partners help cover its weaknesses or enhance its offensive capabilities.

### What is Dracovish weak to and resistant against?
Dracovish is weak to Dragon (2x), Fairy (2x), resists Fire (1/4x), Water (1/4x), Steel (1/2x), and is immune to no types. Ability notes: Water Absorb: Water moves become 0x.

### Which Tera Types are best for Dracovish?
Tera Type data is not available or not applicable for this format.

### What is the most common EV Spread and Nature for Dracovish?
The top build for Dracovish features a **Adamant** nature with an EV spread of `4/252/0/0/0/252`. This configuration accounts for 27.561% of competitive builds.

### Which Ability and Item should I use on Dracovish?
Dracovish is most effectively run with the ability **Strong Jaw** (98.466%) and the item **Choice Scarf** (74.873%).

### What is the most common role for Dracovish?
Based on common item usage (Choice Scarf), Dracovish often functions as a **choice-locked attacker** in the series6-1760 meta.

### What are the base stats for Dracovish?
| Stat | Value |
|------|-------|
| HP | 90 |
| Attack | 90 |
| Defense | 100 |
| Sp. Atk | 70 |
| Sp. Def | 80 |
| Speed | 75 |
| **BST** | **505** |

---

## Additional Resources

- [View Dracovish on Pikalytics](https://www.pikalytics.com/pokedex/series6/Dracovish) - Full interactive stats page
- [Series 6 Battle Stadium Doubles Pokedex](https://www.pikalytics.com/pokedex/series6) - All Pokemon in this format
- [Team Builder](https://www.pikalytics.com/team/series6) - Build teams with Dracovish
- [Damage Calculator](https://www.pikalytics.com/calc) - Calculate damage

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