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Advanced sports analytics for professional handicappers

Better System = Better Decisions

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The Handicapper models both player and team performance to maximize your edge.

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Confidently Predict Box Scores

TEAM	SCORE	ML	SPREAD		TOTALS
	4.9	62%	-1.5	46.0%	U9	48%
	4.3	38%	+1.5	54.0%	O9	52%

Every game of the season is projected based on a large and regurarly updated dataset.

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Customize Your Scenarios

OFFENSE SETTINGS

PASS OFFENSE

Quarterback	-		55		+
Wide Receivers	-		25		+
Tight Ends	-		10		+
Offensive Line	-		10		+
Total			100.0

Use our algorithmically derived default settings or tweak them to reflect your own views. Think a player is on a hot streak? Change their performance settings and watch how it affects the projected box score.

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Frequently Asked Questions

What is The Handicapper?+

The Handicapper is a web application that leverages player and team data to project daily box scores for every game across professional American sports and the English Premier League. The Handicapper helps you uncover value to make smarter betting decisions and beat your bookie.

Which leagues are included?+

Currently MLB, NBA, NFL, NHL and EPL is included.

How should the projections be used?+

Our projected box scores also are accompanied with projected fair odds and lines. By comparing our projected odds / lines to those posted by bookmakers, you will identify which games to avoid and which ones provide the largest edge.

How are the projections created?+

The application uses dynamic and predictive models to handicap games. Each sports/league sport has its own model. You may tweak the model parameters to reflect your own views of performance at both the team and player levels. Or you may use our algorithmically derived default settings to create accurate, data-driven predictions for every game of the season.

Powered by a huge database+

Our prediction engine leverages combinations of quantitative methods (e.g. moving averages, exponential smoothing, regression analysis, z-scores etc.) to support a flexible and dynamic framework / model relevant for each sport. From there, you can input your own assumptions to see how the projected box score is affected.

How does the data part work?+

The team- and player data that the application uses comes from various sources and is updated and pre-processed regurarly. The data is then uploaded online as XML- and JSON-files. User data like custom settings or player ratings is stored in the user’s web browser.