The Power Rank uses data and analytics to make accurate predictions for football and March Madness. I developed these methods based on my PhD in applied math from Stanford.

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College basketball

This is a sample of my member predictions that combine data from the box score, markets and a preseason component. The number in parentheses is the rank for the team based on these numbers.

This rank will not necessarily be the same as those on my college basketball team rankings, which take margin of victory and adjust for schedule.

Members have access to these predictions for all games the day before they happen. To learn more, click here.

Monday, February 17, 2020.

North Carolina A&T (320) will beat North Carolina Central (303) by 1.5 at home.

Bucknell (223) will beat Holy Cross (341) by 5.0 on the road.

South Carolina State (338) will beat Morgan State (314) by 0.9 at home.

Texas Southern (267) will beat Grambling State (318) by 6.6 at home.

Kansas (2) will beat Iowa State (56) by 12.9 at home.

Prairie View A&M (238) will beat Jackson State (321) by 8.3 at home.

College Football

Major League Baseball

The matchup shows the projected FIP (adjusted ERA) for each starting pitcher according to ZiPS.

The integer in parentheses gives the team’s rank in The Power Rank, which now include data from the current season.

From Apr 10, 2019 through the World Series, the team with the higher win probability has won 1381 of 2329 games for a win percentage of 59.3%.

The team favored by the markets has won 1403.0 of 2329 games for a win percentage of 60.2%.


World Soccer Football

These college basketball predictions come from my points based team rankings.

National Basketball Association

To get details on my NBA model for 2018 and series win win probability before the NBA Finals, click here.