By: Kevin Lashgari, Cam Green, Riley Crawford, Jake Sands, Drew Kerkorian, Jason Kong

Top High-Minute Efficiency Players (NBA 2023–24)
Player Team MPG PPG FG% TS% PER PPM
Daniel Gafford DAL 21.5 11.2 78.0 76.9 25.0 0.521
Daniel Gafford 2TM 24.5 11.0 72.5 73.1 21.7 0.449
Dereck Lively II DAL 23.5 8.8 74.7 72.8 18.1 0.374
Nick Richards CHO 26.3 9.7 69.1 71.7 16.7 0.369
Daniel Gafford WAS 26.5 10.9 69.0 70.7 19.9 0.411
Darius Bazley UTA 23.7 8.0 62.1 70.0 14.9 0.338
Kenneth Lofton Jr. UTA 22.8 13.8 60.0 69.0 25.0 0.605
Javonte Green CHI 25.6 12.2 60.0 68.1 20.2 0.477
Grayson Allen PHO 33.5 13.5 49.9 67.9 13.8 0.403
Tosan Evbuomwan DET 22.5 7.0 57.1 67.9 10.9 0.311
Obi Toppin IND 21.1 10.3 57.3 67.7 16.5 0.488
Kelly Olynyk UTA 20.4 8.1 56.2 67.7 17.3 0.397
Rudy Gobert MIN 34.1 14.0 66.1 67.5 19.3 0.411
Mark Williams CHO 26.7 12.7 64.9 67.5 22.5 0.476
Onyeka Okongwu ATL 25.5 10.2 61.1 67.4 16.9 0.400

This page uses live NBA data from Basketball Reference for the 2023–24 season.
We look at 431 rotation players who average at least 15 minutes per game.
On average, these players log 25 minutes and post a true shooting percentage of 57%.
There is a correlation of 0.21 between minutes per game and true shooting percentage, which gives a sense of how playing time relates to scoring efficiency across the league.

Top 15 Players by Field Goal Percentage (FG%)
player team fg_percent x3p x2p ft
Mamadi Diakite SAS 0.800 0.0 1.3 1.3
Daniel Gafford DAL 0.780 0.0 5.0 1.2
Dereck Lively II DAL 0.747 0.0 4.0 0.7
Daniel Gafford 2TM 0.725 0.0 4.7 1.6
Charles Bassey SAS 0.725 0.0 1.5 0.3
Jaxson Hayes LAL 0.720 0.0 1.8 0.7
Jamaree Bouyea SAS 0.714 0.3 1.3 0.0
Trayce Jackson-Davis GSW 0.702 0.0 3.4 1.1
Luke Kornet BOS 0.700 0.0 2.2 0.8
Udoka Azubuike PHO 0.696 0.0 1.0 0.2
Nick Richards CHO 0.691 0.0 3.9 2.0
Jericho Sims NYK 0.691 0.0 0.8 0.4
Daniel Gafford WAS 0.690 0.0 4.5 1.9
Marques Bolden 2TM 0.680 0.0 1.5 0.3
Marques Bolden CHO 0.680 0.0 1.9 0.3

The Grouped Bar Chart above compares Field Goal Percentage and different Shot Types for NBA players during the 2023-24 season. The plot shows the correlation between Field Goal Percentage compared to different Shot Types for individual players. This Chart displays a summary of the players with the highest Field Goal Percentages across the NBA. The players with the highest percentages have points only through 2pts and Free throws causing their numbers to be higher due to the low amount of three point shots.

This page compares two Star NBA players side-by-side using live 2023–24 stats from Basketball-Reference.

The radar chart summarizes four key metrics:

  • MPG – Minutes per game
  • PPG – Points per game
  • TS% – True Shooting % (scoring efficiency)
  • PER – Player Efficiency Rating

Data sources: Per Game Stats | Advanced Stats

Side-by-side comparison of player efficiency metrics (NBA 2023–24, 15+ MPG).
Player Team MPG PPG FG% TS% PER
Joel Embiid PHI 33.6 34.7 11.5% 64.4% 34.1
Luka Dončić DAL 37.5 33.9 11.5% 61.7% 28.1

This dashboard was created using Quarto in RStudio, and the R Language and Environment. The dataset used to create this dashboard was downloaded from Basketball-Reference: 2023–24 Per Game Stats and Basketball-Reference: 2023–24 Advanced Stats

Software Citations

Allaire J, Dervieux C (2024). quarto: R Interface to ‘Quarto’ Markdown Publishing System. R package version 1.4.4, https://CRAN.R-project.org/package=quarto.

Firke S (2023). janitor: Simple Tools for Examining and Cleaning Dirty Data. R package version 2.2.0, https://CRAN.R-project.org/package=janitor.

Henry L, Wickham H (2023). purrr: Functional Programming Tools. R package version 1.0.2, https://CRAN.R-project.org/package=purrr.

Nakazawa M (2023). fmsb: Functions for Medical Statistics Book with some Demographic Data. R package version 0.7.5, https://CRAN.R-project.org/package=fmsb.

Posit team (2025). RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL http://www.posit.co/.

R Core Team (2025). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.

Wickham H (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, https://ggplot2.tidyverse.org.

Wickham H (2022). rvest: Easily Harvest (Scrape) Web Pages. R package version 1.0.3, https://CRAN.R-project.org/package=rvest.

Wickham H (2023). scales: Scale Functions for Visualization. R package version 1.3.0, https://CRAN.R-project.org/package=scales.

Wickham H (2023). stringr: Simple, Consistent Wrappers for Common String Operations. R package version 1.5.1, https://CRAN.R-project.org/package=stringr.

Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686 https://doi.org/10.21105/joss.01686.

Xie Y (2025). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.50, https://yihui.org/knitr/.

Yihui Xie (2015) Dynamic Documents with R and knitr. 2nd edition. Chapman and Hall/CRC. ISBN 978-1498716963

Yihui Xie (2014) knitr: A Comprehensive Tool for Reproducible Research in R. In Victoria Stodden, Friedrich Leisch and Roger D. Peng, editors, Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595

Zhu H (2024). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.4.0, https://github.com/haozhu233/kableExtra, http://haozhu233.github.io/kableExtra/.