NCAA Quad Wins and Losses Tracker

(Updated with games through 3/17/2024)

Track your college basketball team’s Quad 1 wins along with their record in the other three quads. Also, click here for more info on the NET and the quadrant classification system.

  • Click column header to sort
  • Hover over number to see list of teams
NCAA Team NET Quadrant Wins and Losses Tracker

(NET rankings from

What is the NET Ranking?

The NCAA, in consultation with Google Cloud Professional Services, developed a computer model called the NCAA Evaluation Tool (NET). The NET calculates team ratings used to rank every NCAA D1 basketball team. Moreover, it was created to replace the RPI as the primary sorting tool used by the NCAA Division I Men’s Basketball Selection Committee. The NET rankings were first used in the 2018-19 season, and current NET rankings are found here.

What is a Quad 1 Win?

Definition of each quadrant in terms of opponent’s NET rank and location of game.

The NCAA updates NET rankings daily (starting in December) and uses them to sort wins and losses into one of four quadrants. Generally, the quadrant classification system breaks down a team’s schedule and results in four quadrants.  The system organizes the quality of wins and losses based on game location and the opponent’s current NET ranking (not the NET rank at the time of the game), as explained in the table. Therefore, it places a greater emphasis on games played on neutral courts and in true road environments.

What Factors are Considered in the NET Rankings?

The NCAA changed the NET for the 2020-21 season to increase its accuracy and reduce it from a five-component metric to just two . To that end, they discarded three components.

  • Winning percentage
  • Adjusted winning percentage
  • Scoring margin

The two remaining components:

  • Team Value Index (TVI) – a results-based component that rewards teams for beating quality opponents, especially away from home
  • The team’s adjusted net efficiency rating – calculates how many points a team scores on average on offense minus the number of points it allows on average on defense.

Is Scoring Margin Considered in the NET Rankings?

Not explicitly. The original version of the NET used scoring margin, but the NCAA changed the inputs prior to the 2020-21 season. However, the NET still includes a team’s adjusted net efficiency rating. Basically, this rating calculates how many points a team scores on average on offense minus the number of points it allows on average on defense. Therefore, the NET still implicitly includes scoring margin. Of course, larger scoring margins will positively impact a team’s adjusted net efficiency rating.

Do Recent Games Matter More Than Early Season Games?

No. NET calculations do not include game date or game order. Therefore, a team’s first game counts the same as its 28th.

14 responses to “NCAA Quad Wins and Losses Tracker”

  1. bracketbust Avatar

    Just want to say thank you for taking the time to do all of this work for several years now. Much appreciated.

    1. BracketNinja Avatar

      Thank you for those kind words! That means a lot to me.

  2. Brian Cooke Avatar
    Brian Cooke

    Any chance you could provide the link for this dataset?

    1. BracketNinja Avatar

      Thank you for asking, Brian. Link added

      1. Brian Cooke Avatar
        Brian Cooke

        Thank you!

  3. David Avatar

    Is the specific Quad win and losses based entirely on where the opponent was ranked at the time of the game? For instance, If North Carolina plays at Wake Forest and Wake is ranked in the top 75 that would be considered a Quad 1 game. However, is Wake Forest goes on a down spin and ends up ranked 90th, is the game NC at at Wake still considered a Quad 1 game or it is now considered a Quad 2 game?

    1. BracketNinja Avatar

      Great question, David. The classification of past opponents is updated every day with their current NET ranks. So in your scenario, yes – the Wake Forest game is re-classified as a Quad 2 game.
      It’s technically possible for North Carolina’s win over Virginia Tech (current NET: 42) to be reclassified as a Q1 win. There are a lot of factors at play, but VA Tech would probably need to win most of the rest of their games (except the one against UNC) – and win by double digits. Scoring margin matters.

  4. […] that end, I found the Bracket Research tracker that looks at quadrant wins and losses and attempts to compare them using single metric. They’ve […]

  5. […] appearance in his third year as head coach. Georgetown’s otherwise surprisingly solid resume – eight Quadrant 1 and 2 wins combined and the 22nd ranked strength of schedule – will not be […]

  6. Mike M. Avatar
    Mike M.

    I don’t like this methodology as much as others because there are no metrics as far as “then” versus “now”. I mean if a team struggled a month ago but most of their quad one wins are more recent (they are on a roll “now”) then this method is not measuring that parameter.
    If one team has four quad one wins and they were all before Christmas and another team has four quad one wins but all in the last month, then I’m saying the latter team is hotter, looking at then versus now history.

    1. gotstremph Avatar

      Thanks for the comment, Mike. I assume you’re referring to the Q Score. My intention is to aggregate Quadrant wins and losses into a single metric in a simple, straightforward way.
      If you’re looking for a ranking methodology that is a better predictor for future performance, then I’m with you. A rating that weights more recent results a little more is preferred.
      The Q Score could be considered a resume-related metric. The Selection Committee doesn’t consider how hot a team is, so at least the Q Score is relevant.
      I’m curious. What other methodologies that consider recency do you like more?

  7. Todd Burlage Avatar
    Todd Burlage

    I’m most interested in seeing the actual team-by-team breakdown of Quad wins. Am I missing something as far as more specific team breakdowns?

    1. gotstremph Avatar

      This page shows the number of wins and losses every team has in each Quadrant. If you’re viewing on a PC, you can hover over the number to see which teams make up that total. If you are looking for more details, the NCAA publishes Team Sheets. It’s a pdf document with a whole page dedicated to showing the details of a team. Click on the “NET Team Sheets” link:

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