NFL Player Projections For Week 12
NFL Player Projections - What's Included?
The Fantasy Life NFL Player Projections table is far more than a simple projection for every player.
Not only will you get projected fantasy points for every player, every week, customized to fit your specific league scoring, you'll get full stat projections, too.
The specific stat projections vary by position, broken down below:
Quarterback Projections
Quarterback fantasy-point projections are offered for various scoring formats each week. The projected stats offered for QBs are below:
- Pass Attempts
- Completions
- Completion Percentage
- Passing Yards
- Passing TDs
- Interceptions
- Rushing Attempts
- Rushing Yards
- Rushing TDs
Be sure to use these when evaluating which NFL player props you choose to bet each weekend, or for your crucial fantasy football start-sit decisions for your lineups.
Running Back Projections
Similar to QBs, running back projections are provided to fit your custom scoring of your league. More details on how to sync your league can be found within our fantasy football League Sync tool.
The projected stats offered for RBs are below:
- Rushing Attempts
- Rushing Yards
- Rushing TDs
- Targets
- Receptions
- Receiving Yards
- Receiving TDs
Wide Receiver Projections
The projected stats offered for WRs are below:
- Rushing Yards
- Rushing TDs
- Targets
- Receptions
- Receiving Yards
- Receiving TDs
- Yards Per Catch
Tight End Projections
The projected stats offered for TEs are below:
- Targets
- Receptions
- Receiving Yards
- Receiving TDs
- Yards Per Catch
How do our projections work?
Our in-season projection model is built on historical data that focuses on expected game environment and team archetypes, which allow us to place offenses into peer groups.
The projected game environment is derived from Vegas lines, and archetype peer groups are crafted based on how teams behave in different game scripts compared to the league average. The two primary components are dropback rate over expected (DBOE) and plays per minute over expected (PPMOE).
This approach provides the Fantasy Life model with powerful insights that fuel play volume and scoring projections, which then flow down to the player level. For example, our model understands how a slow-paced run-heavy team behaves differently than a fast-paced pass-heavy team in leading, close, trailing, and blowout game scripts.
Player and league-level historical efficiency data is then combined with team passing and rushing volume projections to derive player projections.