Measuring Performance
To the right is a screenshot of BASELINE, but no use of this program is completely without input from users like you. Unlike off the shelf software, this program is designed to work exclusively for a single team. Team needs, offensive and defensive styles, coaches' preferences, and currently used software are all integrated into the final program continuously updated. If you imagine building a house, the current program is like a new house with a sound foundation, a user-friendly floor plan, and state-of-the-art plumbing and wiring. The house, however, still needs to be finished with carpeting, paint and details that suit the occupant.
Looking at the screenshot, you can see that the current screen shows an overview of an individual player. In this case, Barry Sanders. Anything that can be measured or commented on can be included in the player's record. If, however, you already use an electronic storage system for prospect information, then this system will be designed specifically to communicate with current legacy systems. The tabs going across the middle of the screen represent different categories of prospect data that can be tracked and reported on. Physical attributes relate to a player's measureables such as height, weight and body fat. Clicking on the measurements button takes you to a detailed list of measurements. Playing statistics is exactly what it sounds like although we have added over one-hundred additional statistical categories that are seldom reported in scouting guides (e.g., penalties and detailed strength of opponent info). Test results include everything from combine data to SAT scores and weight-room performance. Scouting reports is divided into internal and external reports of a player's ability across a wide array of dimensions. Finally Biography relates to a players background including notable accomplishments and regrettable behaviors that relate to a player's maturity and motivation. As currently designed, the system accounts for thousands of potential variables coming from any number of sources that can all be tracked. More importantly, the pre-programmed list is simply a starting point that can be used to save time during customization.
While the folders are useful for organizing and storing prospect data, the upper "player" portion of the screen is, in the long run, the most valuable feature of this program. Under the basic identification info (name, position, etc.) is a series of fields that are used to make a variety of projections regarding a player's abilities and value to different teams. The box to the left automatically generates a verbal recommendation for the player in question. If a player is under contract with another organization or ineligible for the upcoming draft then this will be noted. If a player is available, the program will note a reasonable (average) cost under the salary cap for this player's services. These calculations are developed using the SportLab Intelligent Algorithm Design (SIAD) process created exclusively for this program. The fundamental basis for this design process comes from well documented areas of decision making research including...
- Traditional Statistics
- Weather Forecasting
- Industrial Psychology
- AI such as neural networking
- Chaos and complexity theory
- Informatics (e.g., biotech)
Want to know more? Contact us to set up a demonstration or receive additional information.