Sztuczna inteligencja w quizie dotyczącym analityki sportowej

Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

1. Co szacuje wskaźnik „oczekiwanych bramek” (xG) w piłce nożnej?
   • Prawdopodobieństwo, że dany strzał zakończy się golem, na podstawie jego charakterystyki
   • Liczba bramek faktycznie strzelonych przez drużynę w sezonie
   • Jaka powinna być pensja napastnika
   • Całkowity dystans, jaki gracz przebiegnie w meczu
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