Archive


Category: Analytics

  • See What Happened During that Run with the Game Summary

    Basketball is a game of runs, and as a coach it’s helpful to know what went right/wrong during your last game when there was a run. The Game Summary tool in Hoopsalytics can give you valuable insights. As an example, we’re going to look at a game between UConn and St. Johns from 2024. UConn […]

  • Player impact Net
    Our Lowest Scorer is Our Best Offensive Player

    One of the coolest things about basketball and analytics is how different people can contribute, even in ways that defy common sense. Here’s a recent example from my AAU club team. Remy is second-to-last in points scored, last in assists, yet our team is the most productive offensively when he’s on the floor. The above […]

  • Basketball score and margin graph for St. Johns vs Connecticut
    St. John’s v. UConn. What Happened?

    On Saturday, February 3, 2024, the St. John’s MBB team had #1 UConn right where they wanted: up a point with 13 minutes left in the game, on their home away from home court, Madison Square Garden. The Garden crowd was rocking like it was 1985, when the Big East ruled supreme. But what happened? […]

  • Basketball Player On/Off Analytics
    Basketball Analytics – Who Are Your Best Players (Part 2)

    Using team stats for when a player is on the floor is a good way to get insight into who deserves more playing time. Our previous article shows how to use Player Impact ON the floor to get a good idea of who your best performers are. But what about the absence of a player […]

  • Coaching Stats & Player Impact on Plays and Sets

    As a coach, I’m always trying to determine which plays and sets are working, and how to place my players in sets and actions that are best suited for their skills. Many coaches rely on the “eye test”, or assumptions about a player’s ability, but having analytics to back up or challenge your perceptions of […]

  • Why You Can’t Always Trust Plus/Minus

    Our team is now 15 games into the season, and with that many games played it is a great opportunity to evaluate playing time and lineup combos. As I was noodling around, I discovered some lineup combinations with a great plus/minus, and a mediocre net points-per-possession (Net PPP). Here’s the example: When we substitute, there’s […]

  • Visualizing Player Performance

    A couple of years ago, I had a fairly talented team, with one player who was a really accurate three-point shooter in practice. Ryan even won a three-point shooting contest at a Christmas tournament. However, her main sport was golf, and I was concerned about her stamina. So over the course of the season, I […]

  • Joel Soriano Putting Up Player of the Year Numbers

    St. John’s University Men’s Basketball (@StJohnsBBall, @stjohnsbball) center Joel Soriano (@joelsoriano22) is off to a roaring start to the 2023-24 season, posting a team-high of 17.4 points in 27:23 minutes per game through the first nine games of the year. Soriano is an outstanding +67 for the season, and his Value Points System of 2.60 […]

  • basketball analytics for fouling frequency
    Minimizing Fouling in Bonus Situations with Analytics

    It’s almost always a bad idea to foul in a basketball game, but now with the new foul shooting rules from NFHS for high schools in the USA, it’s even more important to minimize fouling at the end part of quarters. Specifically, teams will shoot two free throws after the fifth foul has been committed […]