Complete explanation of all statistics and metrics used in the Fantasy Tool
The cumulative fantasy points scored by a player across all games played in the season. Calculated based on the current scoring settings (PPR, Half-PPR, or Standard).
Average fantasy points scored per game. Calculated by dividing total points by games played. This metric helps compare players who have played different numbers of games.
Formula: Total Points ÷ Games Played
The number of games where the player recorded fantasy points. Bye weeks and games where a player did not participate are excluded.
Measures how reliably a player performs around their average. Higher values indicate more consistent performance.
Range: 0-100 (100 = perfectly consistent)
💡 Why it matters: Consistent players are safer floor plays, while inconsistent players are boom-or-bust options.
Statistical measure of how much a player's weekly scores vary from their average. Lower values indicate more predictable scoring.
💡 Interpretation: A player with 5.0 std dev and 20.0 avg PPG typically scores between 15-25 points (68% of games).
Shows how a player's average compares to the average of all players at their position. Positive values mean above-average performance.
Formula: Player Avg PPG - Position Average PPG
💡 Color coding: Green = above average, Red = below average
Average difference between the player's actual points and the opponent's average points allowed at that position. Shows if a player typically beats their matchup expectations.
Formula: Average of (Player Points - Opponent Avg Allowed) across all games
💡 Why it matters: Positive values indicate players who consistently exceed matchup expectations, while negative values suggest they underperform relative to their competition.
Shows recent performance momentum by comparing the last 2 games to the previous 2 games. Helps identify players heating up or cooling down.
Calculation: (Last 2 Games Avg - Previous 2 Games Avg) ÷ Previous 2 Games Avg × 100
💡 Indicators:
💡 Why 2 games? The NFL regular season is short (17 games), so a 2-game window provides quick response to recent form without overreacting to single-game variance.
Average percentage of offensive snaps the player participated in. Higher snap counts typically correlate with more opportunities.
💡 Benchmarks:
Quarterbacks: Pass yards, TDs, INTs, rushing yards, rushing TDs
Running Backs: Rush attempts, rush yards, rush TDs, receptions, receiving yards, receiving TDs
Wide Receivers/Tight Ends: Targets, receptions, receiving yards, receiving TDs, rush attempts
Kickers: Field goals made/attempted, extra points, longest FG
Defenses: Sacks, interceptions, fumble recoveries, defensive TDs, points allowed
Shows which team in the Dynasty league roster owns this player. Displays "Free Agent" if unowned.
Shows which team in the Chopped league roster owns this player. Displays "Free Agent" if unowned.
Blue Line: Actual fantasy points scored each week
Red Dashed Line: Season average (helps identify above/below average weeks)
Orange Line: Opponent's average points allowed at that position (shows matchup difficulty)
💡 How to use: Look for trends, identify boom/bust weeks, and see how players perform against tough vs. easy matchups.
All fantasy points are calculated dynamically based on your selected scoring format. You can switch between:
💡 Pro Tip: Use custom scoring to exactly match your league settings for the most accurate rankings and analysis.
Type any player name to quickly find and view their stats. Search results appear instantly as you type.
Select up to 5 players to compare side-by-side. The comparison highlights:
💡 Use cases: Trade evaluations, start/sit decisions, waiver wire pickups, draft preparation
Probability that each team wins the championship bracket, calculated using Monte Carlo simulation (10,000 iterations). The simulation considers:
Simulation Method: Student's t-distribution (df=6) for realistic score variance
For teams in the consolation bracket, shows probability of "winning" the loser bracket. Uses the same simulation methodology as championship odds.
💡 Note: Only teams that have been eliminated from championship contention will show loser bracket probabilities.
The simulation calculates two scenarios for each team:
💡 Why it matters: Large differences between current and optimal projections indicate lineup optimization opportunities. If your optimal projection is significantly higher, you may need to adjust your starters!
Step 1 - Player Projections: Each player's projection uses their 2025 season average PPG, adjusted for:
Step 2 - Lineup Simulation: For each of 10,000 simulations:
Step 3 - Probability Calculation: Championship odds = (# of simulations team won) ÷ 10,000
💡 Update Timing: Playoff predictions update automatically after each game window (1pm, 4:15pm, Sunday Night Football) with a 30-minute delay to ensure the Sleeper API has finalized scores.
During live game weeks, the system intelligently handles in-progress games:
💡 Why this matters: As Sunday progresses and more games complete, your odds become more certain as projections are replaced with actual results.
All data is automatically updated via GitHub Actions:
💡 Data reflects the most recent complete week of NFL games. The 30-minute delay after game windows ensures the Sleeper API has finalized all scores before recalculating playoff odds.
This site combines multiple data sources for comprehensive fantasy analysis: