The Box Score Forecasts take team and player projections and provide a snapshot for how every offense is expected to perform and where that production will come from.

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Watch as 4for4 expert TJ Hernandez teaches you how to use the Box Score Forecasts. You can also read more about the Box Score Forecasts below.

Applying Box Score Forecasts to Your Research

By showing exactly where every yard and point is most likely to come from for each team, the Box Score Forecasts allow users to decide which players to target on offenses with great matchups, and more importantly, if multiple players from one team have fantasy value.

For season long leagues, applying this concept is especially helpful when owners are stuck in a start/sit conundrum because starting two or more players from the same team can sometimes lead to cannibalization of each other's points. Because the Box Score Forecasts show not only the projected stats, but projected fantasy ranks for that week, users can quickly get an idea if it’s feasible to start multiple players in the same offense.

Projections in the Box Score Forecasts are invaluable for DFS purposes, specifically when users are looking for teams to stack in a given week. Though the uses in DFS can be similar to the start/sit application in season long leagues, the precise projections in the Box Score Forecasts offer an opportunity to leverage ownership percentages in DFS, which are very important to take note of when playing large field tournaments.


Box Score Forecasts in Action

Assume Chicago has a great matchup in the passing game and you are trying to decide which pass catcher to pair with Mitch Trubisky in a tournament. The Box Score Forecasts have Allen Robinson projected for 0.7 touchdowns, while Anthony Miller is projected for 0.5 touchdowns. In other words, Robinson has about a 70% chance to score, while Miller’s chances sit at about 50% to find the end zone. 

After the Thursday night games, we know that Allen Robinson is owned in about 35% of contests while Miller is owned in just 5%. With a 20% gap in chance to score, but a 30% gap in ownership percentage, the optimal DFS play might be Miller over Robinson.