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Gather requirements

Ideally, the people responsible for would explain exactly how to access all the data in an easy to use website. Unfortunately, that is not the current reality. For now, we have to do some detective work. Luckily, it's not too hard.

The following describes instructions for using Chrome on a macOS machine. The steps are similar on any modern web browser.

  • Go to the page you want to get data from on For example, go to the San Antonio Spurs "advanced statistics" page.
  • In the menu bar click View -> Developer -> Developer Tools.
  • In the Developer Tools view, click the Network tab.
  • Click XHR from the list of filters.
  • Click the row with name that starts with teamdashboardbygeneralsplits. You may need to refresh.
  • Click the Preview tab.

All the data you'll need is presented in this tab.

You'll need the resource, which is shown as teamdashboardbygeneralsplits. This is the unique identifier for this collection of data. In this case, it's the general splits for a specific player. Record this value.


Additionally, you'll need data in parameters. Click the arrow to open parameters to reveal all the data. This collection of pairs, like MeasureType and Advanced, are parameters that control the data returned in the teamdashboardbygeneralsplits resource. The key MeasureType with value Advanced specifies that the data should contain "advanced" statistics instead of basic ones. All the pairs shown are required for valid data. Record all of the keys and values.

"MeasureType": "Advanced"
"PerMode": "PerGame"
"PlusMinus": "N"
"PaceAdjust": "N"
"Rank": "N"
"LeagueID": "00"
"Season": "2015-16"
"SeasonType": "Regular Season"
"PORound": 0
"TeamID": 1610612759
"Outcome": null
"Location": null
"Month": 0
"SeasonSegment": null
"DateFrom": null
"DateTo": null
"OpponentTeamID": 0
"VsConference": null
"VsDivision": null
"GameSegment": null
"Period": 0
"ShotClockRange": null
"LastNGames": 0

Finally, you'll need some data from resultSets. Click the arrow to reveal all the data. The rows in resultSets are the splits. Find the split with the name MonthTeamDashboard. Record this value.


This contains the data for the 2015-16 regular season, split by month. It corresponds to the Month section on the regular webpage. Click the arrow to open the MonthTeamDashboard split. Look for the headers. Click to reveal all of its data. Look at the list of values, like OFF_RATING. These values correspond to the columns in the regular webpage. For example, OFF_RATING corresponds to the OffRtg column. Record all the values corresponding to columns you are interested in collecting data for.


Make a Haskell project

Look at the example project. It uses the data from this guide. The output looks like:

AdvancedStats {month = "October", offensiveRating = 102.7, defensiveRating = 93.4}
AdvancedStats {month = "November", offensiveRating = 102.5, defensiveRating = 93.4}
AdvancedStats {month = "December", offensiveRating = 111.8, defensiveRating = 91.5}
AdvancedStats {month = "January", offensiveRating = 114.0, defensiveRating = 100.7}
AdvancedStats {month = "February", offensiveRating = 110.7, defensiveRating = 99.1}
AdvancedStats {month = "March", offensiveRating = 107.8, defensiveRating = 97.2}
AdvancedStats {month = "April", offensiveRating = 102.3, defensiveRating = 103.5}
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