There Is More to a Prediction Than Last Week’s Score
Stat Cracker combines performance data with the circumstances surrounding
the next game or race to produce forward-looking predictions.
What Has Already Happened?
Recent production, usage, consistency, efficiency and historical
results establish the starting point for a prediction.
What Is Changing?
Injuries, role changes, teammate availability, workload and lineup
changes could create opportunities that past statistics do not yet show.
What Happens Next?
Opponent strength, home or away status, weather, game environment,
track type and other event-specific factors could change the outlook.
Performance + Opportunity + Conditions
A box score tells us what happened. Stat Cracker is designed to look beyond
the box score and identify the factors that could affect what happens next.
Usage
Injuries
Role Changes
Opponent
Team Strength
Home / Away
Weather
Market Context
find meaningful changes before they become obvious in the next box score.
More Than Fantasy Points
Stat Cracker evaluates quarterbacks, running backs, wide receivers,
tight ends, kickers and defenses using current matchup information
along with recent performance.
Carries
Snap Counts
Red Zone
QB Situation
Defense
Weather
Sportsbook Context
Weekly rankings also show previous-week projection accuracy,
rank movement and the model factors helping explain each prediction.
Applying the Same Philosophy to Racing
Retread Fantasy Racing Predictions evaluates drivers using track
history, recent form, starting position, qualifying, team strength
and other race-specific factors.
Recent Form
Starting Position
Qualifying
Reliability
Team Strength
Visitors may compare drivers and see whether Stat Cracker projects
a Top 3, Top 5, Top 10, Top 20 or back-of-the-field finish.
Consensus Is a Benchmark, Not the Answer
Popular rankings, sportsbook markets and conventional expectations
provide useful context, but they do not automatically determine a
Stat Cracker prediction.
Predictions Stay on the Record
Published predictions are preserved so projected results may be
compared with what actually happened.
Accuracy Should Be Measured Over Time
Good predictions count. Missed predictions count too.
Stat Cracker tracks projection differences and prediction performance
so visitors could see how the model performs over time rather than relying
on selected examples.
Find What the Box Score Misses.
The numbers establish what happened. Stat Cracker looks for the
circumstances that could help explain what happens next.