Using Stephen Curry's 2025-2026 Season as an Example
This guide shows you how to research NBA player performance using online resources. We use Stephen Curry's 2025-2026 season as an example to explain what data is available and how to find insights.
NBA player performance data includes:
Stephen Curry is a professional NBA player for the Golden State Warriors and is widely regarded as the greatest three-point shooter in basketball history. He has revolutionized the modern game with his long-range shooting, off-ball movement, and scoring efficiency. Curry is a multiple-time NBA champion, MVP, and one of the most influential players of his generation.
This source is used to identify Stephen Curry’s personal background and official player information, including team, position, physical attributes, and career details.
Data source: NBA.com – Stephen Curry Player Profile
Sample game log data showing Curry's recent performances
This source is used to analyze Stephen Curry’s game-by-game performance, identify scoring consistency, and observe trends in shooting efficiency throughout the 2025–2026 season.
Data source: ESPN Stephen Curry Game Log
Curry makes 42.8% of his threes while taking 9.8 per game. This is the best combination of volume and accuracy in the NBA. About 61% of his shots are three-pointers, showing how important his shooting is to the Warriors.
Looking at the game log, Curry scores 25-38 points most games. His shooting percentages stay high even when taking difficult shots. This shows he's reliable and efficient.
Curry averages 6.9 assists per game, showing he's not just a shooter. He creates plays for teammates while still being the main scorer. His 28.7 points per game ranks 5th in the league.
Here are three reliable sources for researching NBA player performance:
The official NBA website provides comprehensive player statistics, game logs, and advanced metrics.
Look at points, rebounds, assists, and shooting percentages. Compare current season to career averages to see if the player is improving or declining.
Review game-by-game data to find patterns. Look for:
Advanced stats help you understand impact beyond basic numbers:
See where the player ranks in the league. Compare shooting percentages, scoring averages, and advanced metrics to understand their relative performance.
Combine all the data to answer questions like:
By using these resources, you can understand a player's performance beyond just points per game. You can see efficiency, consistency, impact on team success, and how they compare to other players. This helps you make informed judgments about player value and performance.