Box Scores Game-By-Game

Filter by season, result, opponent, or overtime

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Four Factors Game-By-Game

Filter by season, wins, losses, or opponent

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Officials Game-By-Game

Filter by season, wins, losses, or opponent

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Offensive Shots Game-By-Game

Filter by season, wins, losses, or opponent

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Defensive Shots Game-By-Game

Filter by season, wins, losses, or opponent

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Point Spreads Game-By-Game

Filter by season, wins, losses, or opponent

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Jerseys in the Rafters

List includes retired and honored jerseys.

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What is this dadgum thing?

Dadgum box scores is a collection of every UNC men’s basketball box score since the 2003-04 season.

I put together this site because I wanted it to be easier to find old UNC box scores. I was tired of navigating crappy sites and not finding what I wanted. It shouldn’t be that hard to find a box score. It should be fast, easy, and organized.


What else will you find on this site?

The focus of this dadgum doodad has expanded to include other data, including:

  • officials: a list of all refs for every game since '03-04
  • four factors: game-by-game numbers of the building blocks of efficiency
  • shooting data: game-by-game shooting stats since '03-04
  • This site doesn’t include schedules, player stats, or interviews. I’m not a reporter, and I’m not going to break any news.


    Why only data since the 2003-2004 season?

    Couple reasons. First, the difficulty goes way up trying to find box scores prior to this date. Even finding box scores from the '03-04 season took some elbow grease.

    Second, the cutoff date makes it a bit more current. This was Roy Williams first season, and it felt like a clean break and good starting point.


    Can I use the data on this site?

    Yes. Feel free to use this data or link to it on your own sites or for your own research. If you want to refer to dadgumboxscores.com as the source, you deserve a high-five.


    I found an error, what should I do next?

    If you can’t find something you’re looking for or spot an typo or if data looks blatantly wrong, please let me know via email.


    Anything else?

    This tool is built in R using the Shiny Dashboard, Readr, reactable, and several other packages. All data is from box scores via goheels.com and spreads via covers.com. If you have suggestions on how to improve it or make it better, I'm all ears.