NBA Retrospective

We discuss the 2001 Philadelphia 76ers, particularly the relationship between Allen Iverson and Larry Brown, the massive trade that never was, and one of the greatest NBA All Star Games of all time.

We discuss Four Factors metrics for the 2001 Lakers, Clippers, and Wizards and explain how they achieved the records they did. We also offer concluding remarks on the season.

We discuss the Four Factors metrics for the 2001 NBA season and some notable discrepancies from Elo. Take care of the basketball!

Talking about PLAYOFFS?! We're definitely doing it. Plus some unusual regular season results and a surprise overachieving team. Hint: the team is in California, but it's not the California team you're thinking.

We break down the actual and Elo simulated playoff seedings for the 2001 NBA season. Simulation was surprisingly accurate. We also note extremely strong correlation in the Atlantic Division between simulated and actual performance.

We acknowledge the basketball and analytics contributions of Dikembe Mutombo and regrettably announce his passing. RIP, Dikembe.

Thank you to all who listened to this podcast. Join me for this episode as we chronicle NBA Retrospective's genesis, its peaks, and ultimately, its conclusion.

We discuss Four Factors performances by the Celtics, Lakers, Suns, and Heat and discuss the question of when to fire first year head coaches given success of Heat's Eric Spoelstra.

We discuss the Four Factors model for the 2007-08 season, the surprising number of significant predictors, and the future of NBA Retrospective.

We discuss the 2007-08 playoffs and assess how teams fared compared with their Elo simulation. We also provide deeper statistical analysis for the Celtics, Lakers, Suns, and Heat. Finally, we note some interesting parallels between the 2007-08 season and the 2023-24 season.

We simulate the 2007-08 season using Elo and report on the strength of the simulation and anomalous teams. We also discuss a blockbuster trade and striking conference disparity.

We compare the 2018 Rockets and Warriors using the Four Factors model and reveal how the Warriors got it done.

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.