GORD is our ranking of how strong each team's case for the NCAA tournament is, and it picks and seeds the 68 teams on the bracketology page.
How it works
Machine-learning models learned from past seasons which teams make the tournament, using stats like adjusted offense and defense, strength of schedule and wins above bubble.
Men: two models, one on Bart Torvik's T-Rank stats and one on KenPom's, make 80% of the score; the T-Rank, KenPom, NET and ESPN BPI rankings add 5% each. Women: 50% model, 30% T-Rank, 20% NET.
The field: conference champions (the top team in each conference until its tournament is played), then the best of the rest, to 68. Seeds go straight down the order, four per line, six on the 11 and 16 lines.
On the scoreboard: GORD #N is a team's place in that order; NET is the NCAA's own ranking; WAB (wins above bubble) is wins beyond what a bubble team would have against the same schedule; Seed is the AP ranking during the season and the tournament seed in March.
Keep in mind
It ranks a résumé, not who would win on a neutral floor, and the committee's bracketing rules aren't modeled.
When it updates
Once a day in season, Nov 1 to Apr 10.
For the curious
Each model is a stacked ensemble: several different models whose answers another model combines. NET and BPI join once they're released for the season; until then the other parts share their weight. The separate Power Rankings page is Torvik's T-Rank, averaged with BPI once it's current.