AI trong bài kiểm tra phân tích thể thao

Câu trả lời và giải thích xuất hiện khi bạn làm bài kiểm tra.

1. Chỉ số 'bàn thắng dự kiến' (xG) trong bóng đá ước tính là bao nhiêu?
   • Xác suất để một cú sút nhất định dẫn đến bàn thắng dựa trên đặc điểm của nó
   • Số bàn thắng thực tế mà một đội đã ghi được ở mùa giải này
   • Mức lương mà một tiền đạo phải được trả
   • Tổng quãng đường một cầu thủ chạy trong một trận đấu
2. Which company did the NBA announce as its official optical-tracking technology partner in its Hawk-Eye partnership?
   • Catapult Sports
   • Hawk-Eye Innovations, part of Sony Group
   • StatsBomb
   • The U.S. Department of Agriculture
3. Which sensor inputs does Catapult describe in its athlete-monitoring system?
   • Only jersey color and player name
   • Only event logs such as passes and shots
   • GPS or local-positioning data, inertial sensors and heart-rate data
   • Only the final score of a match
4. What does the NBA’s Defensive Pressure Score use optical tracking data to estimate?
   • The probability a soccer shot becomes a goal
   • The athlete’s blood oxygen level during training
   • A team’s future draft position
   • The defensive pressure an opponent places on an offensive player
5. What modeling idea did Skinner and Guy propose for learning basketball player skills from tracking data?
   • An offensive network model relating player skills to play success and lineup performance
   • A soccer shot-conversion model using only shot location
   • A biometric wearable classifier for injury diagnosis
   • A contract-value model based only on box scores
6. What did a study of more than 50,000 NBA shot trajectories report about tight contests?
   • Contest level has no relationship to shot trajectory
   • Shooters tend to miss more often when their shots are tightly contested
   • Every contested shot is automatically blocked
   • Three-point shots never change under defensive pressure
7. Which contextual factors does the StatsBomb xG description say may inform a shot’s expected-goal value?
   • Only the player’s jersey number
   • Only the final score of the match
   • Distance, angle, body part and contextual factors such as goalkeeper and defender positions
   • The team’s season budget
8. What can optical tracking data provide beyond event records such as passes and shots?
   • Only the final match score
   • A medical diagnosis for each athlete
   • A guaranteed explanation for every tactical decision
   • Continuous player and ball positions over time