# Peak Performance Season

THE GREAT DUCK MIGRATION! · challenge 28 · medium

> Navigator Neptune reviews years of weather and performance data. "Migration timing is critical for success! Historical competition data shows that athletes perform differently throughout the year - some months bring out peak performance while others see declines. Analyze all competitions across all years and identify which month of the year produces the highest average scores. This insight will help us schedule future training camps during optimal conditions!"

## Task

Return the full name of the month (e.g., 'January', 'February') that has the highest average competition score across all years and all sports. If multiple months tie for the highest average, return the one that comes first alphabetically. You will be working with the `performance_records` table. Use MONTHNAME function to get the month name.

## Tables

### `performance_records` (800 rows)

| column | type |
| --- | --- |
| duck_id | BIGINT |
| sport | VARCHAR |
| score | DOUBLE |
| competition_date | DATE |

## Data

The tables live in a DuckDB database: https://dbquacks.com/data/databases/athletic_champions.duckdb

To query it outside the browser, attach it read-only:

```sql
ATTACH 'https://dbquacks.com/data/databases/athletic_champions.duckdb' AS db (READ_ONLY);
USE db;
```

Play it in the browser: https://dbquacks.com/challenges/athletic/28

## Answer

The expected answer is not published. Submit on the page to have it checked.