We set up the 2017-18 Western Conference Finals series between the Warriors and Rockets by comparing Elo simulations for both teams. We also recognize that statistics is not everyone's cup of Mountain Dew and recommend some episodes for those folks, including this one!
We discuss Four Factors performances by the Warriors, Cavs, and 76ers and reveal the key metric that led the Warriors to the Promised Land.
We discuss how the Four Factors model predicts wins in 2017-18. Shooting is strongest predictor this year. Thank you, KD, Steph, and LeBron.
We discuss the 2015-16 NBA Playoffs and assess how teams fared compared with their Elo simulation. We discuss a statistical overachiever, accurate achiever, and a very surprising underachiever based on Elo.
We simulate the 2017-18 NBA season using Elo and report on the strength of the simulation and anomalous teams. We also address statistical anomalies by division and conference.
We discuss Arpad Elo and his famous rating system that is now essential to NBA analytics and this podcast.
We discuss Four Factors performances by the Lakers, Celtics, Knicks, Rockets, and Cavs and note that Lakers completely dominated the league in one key metric.
We discuss how the Four Factors model predicts wins in 1984-85. Take care of the basketball!
We discuss the 1984-85 playoffs and assess how teams fared compared with their Elo simulation. We also provide deeper statistical analysis for the Lakers, Celtics, Knicks, Rockets, and Cavs.
We simulate the 1984-85 NBA season using Elo and report on the strength of the simulation and anomalous teams.
We discuss the metrics the 1999 Knicks excelled in to reach the Finals as an 8 seed. We also compare the traded players and compare the 1999 Knicks with the 2023 Heat.
We chronicle key off-season trades and the drama surrounding them leading into the Knicks 1999 season.
We welcome a young basketball player and Bulls fan to talk NBA, statistics, and podcasting.
We discuss how well the Spurs, Nuggets, Kings, and Bulls achieved in the Four Factors and reiterate why defense wins championships.
We discuss how the Four Factors model projects wins in 1998-99 and explain why defense wins championships.
We discuss the 1998-99 NBA Playoffs and assess how teams fared compared with their Elo simulation. We also provide deeper statistical analysis for the Spurs, Nuggets, Kings, and Bulls.
We simulate the 1998-99 NBA season using Elo and report on the strength of the simulation and anomalous teams.
We review the 1988-89 Pistons’ blockbuster trade of Adrian Dantley for Mark Aguirre and evaluate which player made more sense statistically for the team.
We discuss how well the Pistons, Suns, Jazz, and Trailblazers achieved in the Four Factors and offer concluding remarks on the 1988-89 season.
We discuss how the Four Factors model projects wins in 1988-88 and dive deeper into turnovers. We also compare the Four Factors projections to the Elo projections.
We discuss the 1988-89 NBA Playoffs and assess how teams fared compared with their Elo simulation. We also provide deeper statistical analysis for the Pistons, Suns, Jazz, and Trailblazers.
We simulate the 1988-89 NBA season using Elo and report on the strength of the simulation and anomalous teams.
We discuss how well the Cavs, Warriors, and 76ers achieved in the Four Factors and offer concluding remarks on the 2015-16 season.
We discuss how the Four Factors model projects wins in 2015-16 and note a surprising statistical weight. We also compare the Four Factors projections to the Elo projections.
We discuss the 2015-16 NBA Playoffs and assess how teams fared compared with their Elo simulation. We also provide deeper statistical details for the Cavaliers, Warriors, and 76ers.
We simulate the 2015-16 NBA season 10000 times using Elo and report on the strength of the simulation and anomalous teams.
We discuss how well the 1997-98 Spurs and Nuggets achieved in the Four Factors and offer concluding remarks on the 1997-98 season and its featured teams.
We discuss the Four Factors model and how it predicts wins. We also compare that model to the Elo projection model.
We simulate the 1997-98 NBA season 10000 times using Elo and report on the strength of the simulation and anomalous teams.
We cover all the analytic terms you need to know to understand our classic NBA season reviews.
