Agile Sports / Agile Sports Analytics

This is a review of the NBA research using bipartite graph algorithms conducted by Sohum Misra. Basketball is ever growing in its popularity.  Teams look for new techniques to help them gain advantages over their competitors.  One technique incr... https://www.agilesportsanalytics.com/?p=524

This is a review of the thesis written by Jonathan Mills regarding sports analytics decision making in the national basketball association. For years, coaches in the NBA have used basic statistics and experience to evaluate teams and players.  Mo... https://www.agilesportsanalytics.com/?p=521

This is a review of the research using predictive model weights conducted by Joel Brooks, Matthew Kerr, and John Guttag. Soccer is the world\'s most popular sport, however, its statistics are not as sophisticated as those used in other sports. Play... https://www.agilesportsanalytics.com/sports-analytics-models-predictive-model-weights/

This is a review of the player tracking data and network model research conducted by Brian Skinner and Stephen J. Guy. Since the 2013/2014 season, all NBA arenas have installed a system of cameras and tracking software. These systems provide a wea... https://www.agilesportsanalytics.com/?p=509

This is a review of the neural networks research conducted by Kuan-Chieh Wang and Richard Zemel. Offensive strategies in basketball are complex and dynamic, ever changing in response to the defense. Not only do the plays evolve but also players ca... https://www.agilesportsanalytics.com/?p=505

This is a review of the Injury Risk Mitigation System research conducted by Calham Dower, Abdul Rafehi, Jason Weber, and Razali Mohamad. Player injuries are a key concern for all teams across all sports. Injuries can cost teams thousands of dollar... https://www.agilesportsanalytics.com/?p=500

This is a review of the STEM sports science research conducted by John F. Drazan, Amy K. Loya, Benjamin D. Horne, and Ron Eglash. Sports analytics give us a tool that can be used to reach out and help youth people gain skills through Science, Tech... https://www.agilesportsanalytics.com/?p=497

This is a review of the spatiotemporal trajectory clustering soccer research conducted by Jennifer Hobbs, Paul Power, Long Sha, Hector Ruiz and Patrick Lucey. In soccer, transitioning from defense to offense and vice versa is extremely important. ... https://www.agilesportsanalytics.com/?p=494

This is a review of the linear regression research conducted by Daniel Sailofsky. Every year NBA teams struggle to determine who their coveted draft choices should be. This study focuses on the choices that teams have made in order to analyze deci... https://www.agilesportsanalytics.com/?p=491

This is a review of the clustering and regression research conducted by Robert Ayer. Why do some teams appear to under perform while others seem to over perform? Looking at a team with several star players leads to high expectations, yet the team ... https://www.agilesportsanalytics.com/?p=488

This is a review of the spatial and visual analytics research conducted by Kirk Goldsberry, Ph.D. Basketball players need to have a strong spatial ability which is the ability to understand, reason and remember spatial relations among objects or s... https://www.agilesportsanalytics.com/?p=479

This is a review of the shot efficiency research using Markov chains conducted by Nathan Sandholtz and Luke Bornn. The probability of a player taking a shot is not consistent throughout a basketball game. The probability of the ball handler shooti... https://www.agilesportsanalytics.com/?p=475

This is a review of the optical tracking research conducted by Dan Cervone, Alexander D\'Amour, Luke Bornn, and Kirk Goldsberry. The key moment of an offensive play in a basketball game may not be when the points are scored at the end of the posses... https://www.agilesportsanalytics.com/?p=472

This is a review of the data driven ghosting with deep imitation learning research conducted by Hoang M. Le, Peter Carr, Yisong Yue, and Patrick Lucey. Statistics typically compare players and teams to the league average. However, this can be very... https://www.agilesportsanalytics.com/?p=459

This is a review of the play sketching research conducted by Thomas Seidl, Aditya Cherukumudi, Andrew Hartnett, Peter Carr and Patrick Lucey. Tracking data in sports has become a staple for teams and coaches as they can now study their upcoming op... https://www.agilesportsanalytics.com/?p=469

This is a review of the Weighted Voronoi diagram research conducted by Dan Cervone, Luke Bornn and Kirk Goldsberry. The regions on a basketball court can be looked at as if they are realty. How valuable is the realty that a player has control over... https://www.agilesportsanalytics.com/?p=456

This is a review of the spatial data analysis research conducted by Alexander Franks, Andrew Miller, Luke Bornn and Kirk Goldsberry. Basketball players must wear two hats - one for the offensive side of the game and one for the defensive side. How... https://www.agilesportsanalytics.com/?p=453

This is a review of the spatial data analysis research conducted by Alexander Franks, Andrew Miller, Luke Bornn and Kirk Goldsberry. Basketball players must wear two hats - one for the offensive side of the game and one for the defensive side. How... https://www.agilesportsanalytics.com/?p=453

This is a review of the probabilistic physics-based model based on player tracking data research conducted by William Spearman. Soccer is more a game of strategy than scoring as there are relatively few goals made in a soccer game. What are the ot... https://www.agilesportsanalytics.com/?p=450

This is a review of the player tracking data research conducted by Dan Cervone, Alexander D\'Amour, Luke Bornn, and Kirk Goldsberry. The key moment of an offensive play in a basketball game may not be when the points are scored at the end of the po... https://www.agilesportsanalytics.com/?p=446

This is a review of the social talent scouting research conducted by Elena Radicchi and Michele Mozzachiodi. Teams are continuously on the lookout for new talent. A variety of tools are used to facilitate this process. First is human expertise - s... https://www.agilesportsanalytics.com/?p=442

This is a review of the social talent scouting research conducted by Elena Radicchi and Michele Mozzachiodi. Teams are continuously on the lookout for new talent. A variety of tools are used to facilitate this process. First is human expertise - s... https://www.agilesportsanalytics.com/?p=442

This is a review of the deep imitation learning research conducted by Thomas Seidl, Aditya Cherukumudi, Andrew Hartnett, Peter Carr and Patrick Lucey. Tracking data in sports has become a staple for teams and coaches as they can now study their up... https://www.agilesportsanalytics.com/sports-analytics-deep-imitation-learning/

The Sprint Retrospective is a three hour meeting, which follows the Sprint Review Meeting and precedes the upcoming Sprint Planning Session (preferably the first day off). The Sprint Retrospective allows the team to inspect its performance and make a... https://www.agilesportsanalytics.com/?p=428

The Post-Game Meeting is a 15-minute event for the players to reflect on the game and create/validate their plan for the next game. This allows the team to decide if the adjustments made from the previous game were effective. The Post-Game Meeting... https://www.agilesportsanalytics.com/?p=419

Sprint Review Meetings are held at the completion of each Sprint. The purpose of the meeting is to inspect the results of the Sprint and adapt the Sprint Performance Dashboard metrics and value for next Sprint, if needed. During the Sprint Review Mee... https://www.agilesportsanalytics.com/?p=424

The Sprint Goal is a set of metrics for the Sprint that the individual players and the team as a whole can meet to achieve its planned outcome (wins-losses and total value). It provides clarification into how reaching the goals of the Sprint contribu... https://www.agilesportsanalytics.com/?p=417

The metrics to be achieved during the Sprint is determined at the Sprint Planning Session. The Sprint Plan is a collaborative work among the lead analyst, coaching staff and players. Sprint Planning Sessions are limited to a maximum of eight hours... https://www.agilesportsanalytics.com/?p=414

The core of the Agile Sports Framework™ is a Sprint, an incremental schedule of typically 5 or 10 games during which a set of specific target metrics and goals are planned and accomplished. It is recommended that each of the Sprints have a consiste... https://www.agilesportsanalytics.com/?p=411

Prescribed agile sports events are used in the Agile Sports Framework™ to create consistency and to maximize team performance throughout each Sprint as the team strives to reach its overall goal. All events have a maximum time frame and must be com... https://www.agilesportsanalytics.com/?p=407

The Agile Sports Consultant is responsible for ensuring the Agile Sports Framework™ is understood and executed successfully. Agile Sports Consultants do this by providing feedback and recommendations to ensure that the team adheres to Agile Sports ... https://www.agilesportsanalytics.com/?p=404

The agile sports scouts evaluate players on their strengths, weaknesses and ability to add value to the team. The ultimate goal of scouts is to identify the players who can add the greatest contribution to achieving the team’s goals. Scouts deliver... https://www.agilesportsanalytics.com/?p=400

Agile Sports assistant coaches help the players develop their skills and knowledge of the game. They share their experience with the players, and help the players reach their Sprint target metrics and maximize their value. The key role of assistant c... https://www.agilesportsanalytics.com/?p=394

Agile Sports General Managers oversee the business and financial operations of the team, thus making it critical that the GM, architect and lead analyst share common strategy for helping the team achieve its goals. The lead analyst is responsible for... https://www.agilesportsanalytics.com/?p=392

The agile sports team architecture is a key source of success and risk, and the architect is responsible for ensuring the team is built around players that complement each other, fit the team identity and can build and sustain value. The architect is... https://www.agilesportsanalytics.com/?p=389

The agile sports coach is the team decision maker and works closely with the lead analyst. While this role functions much like a traditional coach, the self-organizing principles of Agile Sports open up the possibilities of utilizing a player-coach f... https://www.agilesportsanalytics.com/?p=386

The lead analyst is responsible for maximizing the results on the court through analytics and shaping the goals of the Sprint, as well as the overall objectives. In Agile Sports, the lead analyst is the head decision-maker in the data/analytics team.... https://www.agilesportsanalytics.com/?p=379

The key members of the Agile Sports Framework™ are the lead analyst, coaches, players, and the Agile Sports Consultant. Secondary roles include the owner, architect, General Manager, front office, scouts, event staff, fans and other stakeholders. P... https://www.agilesportsanalytics.com/?p=377

There are six pillars that form the foundation of Agile Sports as team data is transformed into action on the field .These includes data, transparency, inspection, adaptation, self-organization and synergy. These six pillars uphold every application... https://www.agilesportsanalytics.com/?p=374

Other challenges that the Agile Sports Framework helps teams resolve include the following: The culture to constantly hire new coaches expecting different results Lack of player discipline or buy-in to coach’s strategy Staff (p... https://www.agilesportsanalytics.com/?p=371

Additional benefits that can be achieved through Agile sports philosophy: Adapt a higher quality style of play: High performance is achieved through techniques. These techniques are like real-time analytics, continuous improvement... https://www.agilesportsanalytics.com/?p=368

Through the Agile Sports Framework teams will come to value: Team goals and accountability over personal achievements Intuitiveness and Sports IQ over set plays and coaching Continuous improvement over quick fixes through... https://www.agilesportsanalytics.com/?p=364

The players consist of the athletes who deliver the organization’s product on the court. They are the individuals responsible for setting and meeting their Sprint Goals and executing their roles which contribute to the team’s overall objective. ... https://www.agilesportsanalytics.com/2018/09/09/agile-sports-roles-the-players/

The 10 principles that drive the Agile Sports Framework are:   The highest priority is to reach organizational goals through team synergy and sports analytics. Every member of the organization must know exactly how their role contribu... https://www.agilesportsanalytics.com/2018/09/08/agile-sports-framework-principles/

This is a review of the volume and intensity training research conducted by Patrick Ward, Michael Tankovich, J. Sam Ramsden, Barry Drust, and Luke Bornn. Participating in sports invariably leads to injuries, especially at the professional level. A... https://www.agilesportsanalytics.com/?p=435

This is a review of the statistical prediction model research conducted by Michael E. Schuckers. Every year NHL general managers need to decide who they will choose in the draft. A statistical model was built to rank players as to how they should ... https://www.agilesportsanalytics.com/?p=485

This is a review of the spatio-temporal patterns and deep learning research conducted by Nazanin Mehrasa, Yatao Zhong, Frederick Tung, Luke Bornn, and Greg Mori. Player interactions are a key component of team sports. Every player has a unique tra... https://www.agilesportsanalytics.com/?p=482