# Oranguru - Best Builds, Moves and Teams in Pokemon Champions VGC 2026 Tournaments

> Find the best Oranguru builds, best moves, best teams, usage trends, and counters in Pokemon Champions VGC 2026 Tournaments. Data from Pikalytics.

## Best Oranguru Quick Info

| Property | Value |
|----------|-------|
| **Format** | Pokemon Champions VGC 2026 Tournaments (`championstournaments`) |
| **Game** | Pokemon Champions |
| **Category** | championstournaments |
| **Usage** | 1% |
| **Win Rate** | 40.887% |
| **Record** | 166-240 |
| **Data Date** | 2026-05 |

## Page Links

- **Standard Web Page** (for users): [View on Pikalytics](https://www.pikalytics.com/pokedex/championstournaments/Oranguru)
- **AI Data** (this page): https://www.pikalytics.com/ai/pokedex/championstournaments/Oranguru
- **Format Overview**: [Pokemon Champions VGC 2026 Tournaments Pokedex](https://www.pikalytics.com/pokedex/championstournaments)
- **AI Format Index**: [/ai/pokedex/championstournaments](https://www.pikalytics.com/ai/pokedex/championstournaments)

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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 Oranguru.

## Defensive Type Matchups

| Category | Attacking Types |
|----------|-----------------|
| **Weak To** | Bug (2x), Dark (2x) |
| **Resists** | Psychic (1/2x) |
| **Immune To** | Ghost (0x) |

## Common Moves
- **Instruct**: 88.235%
- **Trick Room**: 86.765%
- **Protect**: 77.941%
- **Skill Swap**: 39.706%
- **Psychic**: 35.294%
- **Foul Play**: 10.294%
- **Encore**: 5.882%
- **Taunt**: 5.882%
- **Imprison**: 4.412%
- **Light Screen**: 4.412%

## Common Abilities
- **Inner Focus**: 80.882%
- **Telepathy**: 10.294%

## Common Items
- **Colbur Berry**: 36.765%
- **Iron Ball**: 23.529%
- **Mental Herb**: 14.706%
- **Sitrus Berry**: 11.765%
- **Nothing**: 8.824%
- **Focus Sash**: 1.471%
- **Lum Berry**: 1.471%
- **Leftovers**: 1.471%

## Common Teammates
- **Torkoal**: 57.353%
- **Farigiraf**: 44.118%
- **Golurk-Mega**: 39.706%
- **Staraptor**: 30.882%
- **Venusaur-Mega**: 27.941%
- **Sinistcha**: 22.059%

## FAQ for Oranguru in championstournaments-1760

### What are the top moves for Oranguru?
The most common moves for Oranguru are Instruct, Trick Room, Protect, Skill Swap. These represent the highest usage percentages on the ladder.

### What are the best team partners for Oranguru?
Oranguru is frequently paired with Torkoal, Farigiraf, Golurk-Mega, Staraptor. These partners help cover its weaknesses or enhance its offensive capabilities.

### What is Oranguru weak to and resistant against?
Oranguru is weak to Bug (2x), Dark (2x), resists Psychic (1/2x), and is immune to Ghost (0x).

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

### What is the most common EV Spread and Nature for Oranguru?
No EV spread or nature data available.

### Which Ability and Item should I use on Oranguru?
Oranguru is most effectively run with the ability **Inner Focus** (80.882%) and the item **Colbur Berry** (36.765%).

### What is the most common role for Oranguru?
Based on common item usage (Colbur Berry), Oranguru often functions as a **bulky attacker or support** in the championstournaments-1760 meta.

### What are the base stats for Oranguru?
| Stat | Value |
|------|-------|
| HP | 90 |
| Attack | 60 |
| Defense | 80 |
| Sp. Atk | 90 |
| Sp. Def | 110 |
| Speed | 60 |
| **BST** | **490** |

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## Additional Resources

- [View Oranguru on Pikalytics](https://www.pikalytics.com/pokedex/championstournaments/Oranguru) - Full interactive stats page
- [Pokemon Champions VGC 2026 Tournaments Pokedex](https://www.pikalytics.com/pokedex/championstournaments) - All Pokemon in this format
- [Team Builder](https://www.pikalytics.com/team/championstournaments) - Build teams with Oranguru
- [Damage Calculator](https://www.pikalytics.com/calc) - Calculate damage

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*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).*