Archive


Category: Analytics

  • assist charting
    Basketball Assist Charting

    This week in our off-season has been “assist week”. We recently added “assist maps“, and now to complement that we now have the option to create “Assist Charts” – much like shot charts. This chart is a part of the Assists tool now. An example is in the image above, which shows every assist came […]

  • Basketball Assist Maps

    Do you ever wonder which player pairs are the most productive with each other in terms of assists and scoring? Hoopsalytics now has an “Assist Map” analytic which makes it easy to see this chemistry between players. When looking at a single game, or multiple games, use the Assists button. This opens the Assists Map. […]

  • Use Rebound Percentage to Determine your Best Rebounder

    How do you determine who is your best rebounder? It’s not just the total number of rebounds, or even the number of rebounds averaged over a full game. Other factors such as the shooting percentage of your team versus your opponents can overweight defensive or offensive rebounds. The best way to determine this is by […]

  • See howe excluding a player affects the other player's stats
    Determining Player Impact – Accounting for “Coat Tailing”

    Not all basketball players are created equal. At every level, you will have dominant players who bring up the rest of the team, and weaker players who are not quite on the level of everyone else. When these players are in the game, the other individual player’s team-oriented stats produced will be affected positively or […]

  • Free Throw Factor (FTF) Determining Game Outcome

    While watching the Warriors @ Mavericks Game 3 of the WCF last night, two statistics jumped out at me.  First, the Dallas Mavericks did not attempt a 2-point shot outside of the lane until the third quarter, and finished the game with only two mid-range attempts (0-2).  This seems like a foolish strategy to me especially […]

  • Measuring Team Fatigue with the Game Flow Tool

    One of the observations I saw with my team this year is that we were streaky. We had some strong finishes to close a large hole we got ourselves into early in the game. With a relatively thin roster and some injuries, it made time management even more important. Hoopsalytics recently introduced a Game Flow […]

  • The Analytics of No-Middle Defense

      I’ve been intrigued by “no-middle” man-to-man defense since reading about it and watching Jordan Sperber’s video breaking it down. Once you learn to recognize it, you’ll see it used by top defensive college teams like Baylor and Texas Tech, as well as many NBA teams. Rather than traditionally forcing the offensive player to the […]

  • Free Throw Rebound Tendencies

    My coaching mentor, coach Sky Nelson, was always adamant about lining up for free throws defensively in a particular way. He stressed having a player even with the free throw line, on the shooters left, at the three point line. In his 30 year coaching career, he recounted to me losing some games due to […]

  • Measuring Which Basketball Players are the Most Engaged

    Actions speak louder than words, especially when it comes to see who is putting forth the most effort to get better on your team. You can see who is hustling most in practice, but what about off the court? Which players are the most motivated to learn? Hoopsalytics has a way to measure that. From […]

  • Using Adjusted Plus/Minus to Determine Your Most Valuable Player

    When our boys basketball team was informally asked who they thought was the team’s best player, most guessed the two teammates with the highest shot attempts per game.  Statistically, both selections were incorrect.  The most valuable player, in the category most important to the coaching staff, plus/minus, was their center.   Plus/minus is simply the point […]