### Sports Analytics Video – Play Sketching

In this installment of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains Play Sketching. Tracking data in sports has become a staple for teams and coaches as they can now study their upcoming opponents in order to determine the best strategy possible. However, coaches do not have access to this data during the game…

### Sports Analytics Video – Allocative and Dynamic Efficiency

In this installment of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains the Allocative and Dynamic Efficiency. Allocative efficiency occurs when resources are so allocated that it is not possible to make the team better in one area without negatively impacting the team in another area. Dynamic efficiency balances a short term approach to…

### Sports Analytics Video – Bipartite Graph Algorithm

In this edition of Victor Holman’s 3 Minute Drill, Victor Holman explains Bipartite Graph Algorithms in sports analytics today. In the mathematical field of graph theory, a bipartite graph (or bigraph) is a graph whose vertices can be divided into two disjoint and independent sets {\displaystyle U} U and {\displaystyle V} V such that every…

### Sports Analytics Video – Expected Possession Value (EPV)

Using film or player tracking data, a quantitative analysis representative of the entire possession will occur where each moment in the possession is summarized on the basis of the expected value of the possession at each moment. For each moment of a possession a value is assigned to each of the individual tactical moves a player can…

### Sports Analytics Video – Markov Chains

In this 5th installment of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains the Markov Chains. A Markov decision process (MDP) is a discrete time stochastic control process. It provides a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs…

### Sports Analytics Video – Probabilistic Physics Based Model

In this 4th video of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains the probabilistic physics-based model. The purpose of the probabilistic physics-based model is to determine the probability that the team in possession of the ball will score with their next on-ball event. In order to do this the probability that the team…

### Sports Analytics Video – Deep Imitation Learning

In this second video of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains Deep Imitation Learning. Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by learning a mapping between observations and actions. The idea of teaching by…

### Sports Analytics Video – Spatial Data Analysis

In this second video of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains spatial data analysis. Spatial analysis or spatial statistics includes any of the formal techniques which study entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques, many still in their early development, using different analytic approaches.…

### Sports Analytics Video – Statistical Prediction Models

In this first video of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains statistical prediction models. Predictive modelling uses statistics to predict outcomes. Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example,…