ガイド連動クイズ · 中 レベル

スポーツ分析における AI クイズ

スポーツパフォーマンス分析のための個別のソースとして、期待ゴール、光学式プレーヤー追跡、アスリート負荷データを理解します。

関連するガイドパススポーツ分析における AI
質問 1 の 8

サッカーの「期待ゴール数」(xG) 指標は何を推定しますか?

すべての質問をプレビューする8 質問

クイズに答えると、答えと解説が表示されます。

  1. サッカーの「期待ゴール数」(xG) 指標は何を推定しますか?
    • 特定のショットがその特性に基づいてゴールにつながる確率
    • 今シーズン実際にチームが決めたゴール数
    • ストライカーに支払われるべき給与
    • 選手が試合中に走る合計距離
  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