# Cyclizar - Best Builds, Moves and Teams in Gen 7 Monotype

> Find the best Cyclizar builds, best moves, best teams, usage trends, and counters in Gen 7 Monotype. Data from Pikalytics.

## Best Cyclizar Quick Info

| Property | Value |
|----------|-------|
| **Format** | Gen 7 Monotype (`monotype`) |
| **Game** | Pokemon Scarlet Violet |
| **Category** | monotype |
| **Usage** | N/A |
| **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/monotype/Cyclizar)
- **AI Data** (this page): https://www.pikalytics.com/ai/pokedex/monotype/Cyclizar
- **Format Overview**: [Gen 7 Monotype Pokedex](https://www.pikalytics.com/pokedex/monotype)
- **AI Format Index**: [/ai/pokedex/monotype](https://www.pikalytics.com/ai/pokedex/monotype)

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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 Cyclizar.

## Defensive Type Matchups

| Category | Attacking Types |
|----------|-----------------|
| **Weak To** | Ice (2x), Fighting (2x), Dragon (2x), Fairy (2x) |
| **Resists** | Fire (1/2x), Water (1/2x), Electric (1/2x), Grass (1/2x) |
| **Immune To** | Ghost (0x) |

## Common Moves
- **U-turn**: 93.024%
- **Rapid Spin**: 84.823%
- **Knock Off**: 79.642%
- **Draco Meteor**: 49.603%
- **Dragon Tail**: 15.822%
- **Taunt**: 11.950%
- **Outrage**: 11.792%
- **Ice Spinner**: 9.909%
- **Fire Fang**: 9.812%
- **Overheat**: 6.996%

## Common Abilities
- **Regenerator**: 91.192%
- **Shed Skin**: 8.808%

## Common Items
- **Assault Vest**: 42.627%
- **Heavy-Duty Boots**: 28.209%
- **Nothing**: 8.731%
- **Leftovers**: 6.861%
- **Sitrus Berry**: 4.546%
- **Focus Sash**: 3.017%
- **Choice Band**: 2.567%
- **Other**: 3.442%

## Common Teammates
- **Garchomp**: 51.403%
- **Goodra-Hisui**: 46.606%
- **Archaludon**: 35.975%
- **Walking Wake**: 34.301%
- **Dragonite**: 33.217%
- **Maushold**: 26.887%

## FAQ for Cyclizar in monotype-1760

### What are the top moves for Cyclizar?
The most common moves for Cyclizar are U-turn, Rapid Spin, Knock Off, Draco Meteor. These represent the highest usage percentages on the ladder.

### What are the best team partners for Cyclizar?
Cyclizar is frequently paired with Garchomp, Goodra-Hisui, Archaludon, Walking Wake. These partners help cover its weaknesses or enhance its offensive capabilities.

### What is Cyclizar weak to and resistant against?
Cyclizar is weak to Ice (2x), Fighting (2x), Dragon (2x), Fairy (2x), resists Fire (1/2x), Water (1/2x), Electric (1/2x), Grass (1/2x), and is immune to Ghost (0x).

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

### What is the most common EV Spread and Nature for Cyclizar?
The top build for Cyclizar features a **Timid** nature with an EV spread of `104/0/0/0/152/252`. This configuration accounts for 33.687% of competitive builds.

### Which Ability and Item should I use on Cyclizar?
Cyclizar is most effectively run with the ability **Regenerator** (91.192%) and the item **Assault Vest** (42.627%).

### What is the most common role for Cyclizar?
Based on common item usage (Assault Vest), Cyclizar often functions as a **tactical** in the monotype-1760 meta.

### What are the base stats for Cyclizar?
| Stat | Value |
|------|-------|
| HP | 70 |
| Attack | 95 |
| Defense | 65 |
| Sp. Atk | 85 |
| Sp. Def | 65 |
| Speed | 121 |
| **BST** | **501** |

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## Additional Resources

- [View Cyclizar on Pikalytics](https://www.pikalytics.com/pokedex/monotype/Cyclizar) - Full interactive stats page
- [Gen 7 Monotype Pokedex](https://www.pikalytics.com/pokedex/monotype) - All Pokemon in this format
- [Team Builder](https://www.pikalytics.com/team/monotype) - Build teams with Cyclizar
- [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).*
