**ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.**

This is a skills-based competition to promote applied machine learning in sports analytics. By submitting to this competition, you agree to the Official Competition Rules, including the Competition-Specific Rules below.

You may not enter or submit from multiple Kaggle accounts.

**1. COMPETITION-SPECIFIC TERMS:**
1. COMPETITION TITLE
Draft Like a Pro: Predict NBA Player Success

2. COMPETITION SPONSOR
Joel Esteban Pérez Canal – Independent Host

3. COMPETITION SPONSOR ADDRESS
Cúcuta, Colombia

4. COMPETITION WEBSITE
https://www.kaggle.com/competitions/nba-draft-player-impact

5. TOTAL PRIZES AVAILABLE
No monetary prizes. Recognition and leaderboard placement only.

6. WINNER LICENSE TYPE
Non-Exclusive

7. DATA ACCESS AND USE
Competition Use and Non-Commercial & Academic Research

**2. COMPETITION-SPECIFIC RULES:**
1. TEAM LIMITS
Maximum team size is 4 participants.

Team merging is allowed until the team merge deadline.

The combined team must not exceed total allowed submissions up to that point.

2. SUBMISSION LIMITS
Maximum of 50 submissions per day.

You may select 3 final submissions for scoring on the private leaderboard.

3. COMPETITION TIMELINE
Start Date: June 26, 2025

End Date: November 26, 2025

Team Merge Deadline: November 18, 2025

Private Leaderboard Release: November 27, 2025

4. COMPETITION DATA
Usage: The dataset is provided for use in this competition and for non-commercial or academic use only.

Security: Do not share the dataset outside Kaggle. If you suspect misuse, notify Kaggle immediately.

5. WINNER LICENSE
Non-exclusive license: Winning solutions may be shared publicly, and the host may use submitted models for educational or demonstration purposes.

6. EXTERNAL DATA AND TOOLS
You may use publicly available data that is freely and equally accessible to all participants.

Use of external pretrained models or tools is allowed if they meet the "reasonableness" criteria (publicly accessible or minimal cost).

Automated ML tools are allowed (e.g., AutoML, H2O) if used with valid licenses.

7. ELIGIBILITY
Anyone may participate, but Kaggle staff and Competition Sponsor(s) are not eligible to win.

8. WINNER’S OBLIGATIONS
Winners may be required to submit their full code, including training pipeline, model inference logic, and environment specifications.

Winning solutions must be reproducible and documented clearly.