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Sports – NFL Cap and Team Forecast

The Sports – NFL Cap and Team Forecast in Solver is a pre-built xFP&A planning template available in the Solver Template Marketplace for sports. Player Salary Budgets are considered human capital planning models and are used by budget managers to allocate team cap funds to players' compensation packages.

What is a Team Player Salary Budget? Player Salary Budgets are considered human capital planning models and are used by budget managers to allocate team cap funds to players' compensation packages. Some of the main functionality in this type of input form is that it starts with a number of assumptions and then uses these to allocate amounts to existing players and expected recruits. Examples of drivers are: Total team cap amount, current player costs versus team cap, and draft positions. Details per player can include: Position, age, experience, salary, contract amount, years left on contract, guaranteed amount, and expiration year. You find an example of this type of input form below.

Purpose of Player Salary Budget Models Sports organizations use Player Salary Budget Models to easily model compensation for both existing players and those expected to be acquired. When used as part of good business practices in Financial Planning & Analysis (FP&A) departments, a professional team can improve its agility and speed during compensation negotiations, and it can reduce the chances that calculation errors distort budgets and tactics.

Who Uses This Type of Input form? The typical users of this type of input form are: CFOs, recruiters, compensation negotiators, budget managers, owners. Other Reports Often Used in Conjunction with Player Salary Budget Models Progressive Financial Planning & Analysis (FP&A) departments sometimes use several different Player Salary Budget Models, along with team player dashboards, player statistical dashboards, historical salary reports, profit & loss reports, complete budget and forecast models and other management and control tools.

Where Does the Data for Analysis Originate From? The Actual (historical transactions) data typically comes from enterprise resource planning (ERP) systems like: Microsoft Dynamics 365 (D365) Finance, Microsoft Dynamics 365 Business Central (D365 BC), Microsoft Dynamics AX, Microsoft Dynamics NAV, Microsoft Dynamics GP, Microsoft Dynamics SL, Sage Intacct, Sage 100, Sage 300, Sage 500, Sage X3, SAP Business One, SAP ByDesign, Acumatica, Netsuite and others. In analyses where budgets or forecasts are used, the planning data most often originates from in-house Excel spreadsheet models or from professional xFP&A solutions.

Built for sports finance teams and aligned with Solver's xFP&A platform, this Solver planning template connects directly to your ERP data via the Solver Data Warehouse, enabling near real-time analysis with minimal setup. Designed for QuickStart deployment, it can be activated rapidly so your team can focus on analysis and decisions — not data preparation.

What is the Sports – NFL Cap and Team Forecast in Solver? The Sports – NFL Cap and Team Forecast is a pre-built xFP&A planning template in Solver designed for sports organizations. It delivers key financial and operational metrics in a single, easy-to-use interface — purpose-built for sports finance workflows.

Who uses this Solver planning template? Finance leaders at sports organizations — including CFOs, finance managers, and sports organization executives — use this template to get fast, reliable answers without waiting on IT or building custom reports. It supports both day-to-day monitoring and strategic decision-making.

Where does the data come from? Data is sourced automatically from your ERP system through the Solver Data Warehouse, which integrates with platforms such as Microsoft Dynamics 365 Business Central, Dynamics 365 Finance, Acumatica, Sage Intacct, and other leading ERP solutions. Point-of-sale, ticketing, and broadcasting revenue systems can also be connected for a complete event and venue revenue picture. Once connected, the template updates in near real-time with no manual data entry required.

To learn more, visit the Resource Library. 

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