Every March, the same argument flares up: is this a "five-bid league" or a "nine-bid league"? Should a third-place team in a power conference make the NCAA Tournament over a regular-season champion from a smaller one? Underneath the shouting is a measurable question — how strong is a conference, really? — and a process for answering it that quietly shapes the bracket. Stronger leagues earn more bids and better seeds not because the committee likes them, but because their teams build better résumés against tougher schedules. Here's how conference strength gets measured, and why the bids follow.

The one-sentence version: conference strength is the aggregate quality of a league's teams, and it matters because a tougher league schedule hands its teams more chances to earn the quality wins that at-large bids are made of.

How conference strength is measured

There's no single official "conference rating," but several complementary tools all point at the same thing:

  • Aggregate or average team ratings. The most intuitive approach: take a power rating like KenPom's adjusted efficiency or the committee's NET, and average it across a league's teams. A conference whose teams are all good rates highly; one with two elite teams and a soft bottom rates lower than its top end suggests. Analysts often quote a league's average rating or its "top-N" rating — the average of just its best handful of teams — to capture both depth and ceiling.
  • Conference RPI / NET roll-ups. Averaging each league's teams by NET or RPI rank produces a "league rank" — a one-line ordering of the conferences from strongest to weakest. It's crude, but it's the number people reach for when they say a league is "the best conference in the country."
  • Average efficiency and per-possession margin. Because ratings like KenPom's are built from adjusted efficiency — points scored and allowed per possession, adjusted for opponent and pace — averaging those across a league gives a tempo-free read on how good its teams actually are, independent of records.

All of these are really asking the same question in different ways: if you played a random game between a random team from League A and a random team from League B, which league wins more often? The methods differ; the target is the same.

Why bids and seeds follow strength

This is the part that turns an abstract rating into March reality, and it runs entirely through the NET and its quadrant system. Recall how at-large résumés are judged: by quadrant records — how many Quadrant 1 and 2 games a team won, and how few bad (Quad 3 and 4) losses it took. Now connect that to conference strength:

  • In a strong league, a huge share of the conference schedule is made up of high-NET opponents. Those 18-or-so league games are full of Quad 1 and Quad 2 opportunities by default. A team can build a glittering résumé — multiple Quad 1 wins, a winning Quad 1-2 record — simply by going .500 in conference, because every game was against a quality opponent.
  • In a weak league, the same conference schedule is mostly Quad 3 and Quad 4 games. Even a dominant team racks up wins that barely move its profile, because beating low-NET opponents earns little credit no matter the margin (the NET caps blowout margin around 10 points).

So conference strength is, in effect, a résumé-generating machine. Strong leagues manufacture quality wins for their members; weak leagues can't, no matter how their teams play. That's why bids cluster: a top league might send a third or more of its teams to the tournament, while a one-bid league sends only its automatic-qualifier. The committee isn't rewarding the conference's name — it's reading team sheets, and strong leagues simply produce better team sheets. The same logic flows into seeding: better quadrant records mean better seed lines, so teams from strong leagues tend to be seeded higher than their raw rating alone would suggest. Everything here ties back to the larger machinery of bracketology — the art of predicting the field from these very inputs.

Multi-bid leagues vs. one-bid leagues

The clearest expression of conference strength is the multi-bid divide. A handful of leagues are multi-bid leagues every year — deep enough that the committee takes several of their teams at-large. Most conferences are effectively one-bid leagues: only the conference-tournament champion gets in, via the automatic bid, and everyone else stays home regardless of record. The difference between the two isn't a label the committee assigns; it's the downstream result of how the league's teams rate and what quadrant records they can build.

That divide is exactly where the tension for mid-majors lives. A genuinely excellent team in a one-bid league can post a top-25 predictive rating and still sweat Selection Sunday, because its conference schedule never offered the Quad 1 games that would prove it — the structural squeeze we lay out in our mid-major at-large math piece. The conference-strength machinery that helps power-league teams works against them: they're judged on a body of work their league never let them build.

How non-conference scheduling shapes perception

A league's strength isn't only about how good its teams are — it's also about what those teams do, and the biggest lever is the non-conference schedule. Here's why: a conference's reputation is built in November and December, when its teams play everyone else. If a league's members schedule aggressively and win on the road and at neutral sites against other strong conferences, every team's NET rises, every in-conference game becomes a higher-quadrant opportunity, and the whole league's rating lifts together. If they schedule cupcakes, the opposite happens — the league looks soft, in-conference games sit in lower quadrants, and bids dry up.

This creates a collective incentive that individual coaches don't always feel: a strong non-conference slate is partly a public good for the whole league. When a conference's teams all schedule up and perform, they raise each other's profiles — a rising tide. It's also why early-season events and marquee non-conference games get so much attention from people who care about bids: those games are where a league's strength rating, and therefore its eventual bid count, is largely set.

Author to-do: this season's conference strength rankings and projected bid counts (league-average NET / KenPom ratings, multi-bid vs. one-bid breakdown) come from scripts/conference-strength-ratings.py, which rolls up team ratings by conference from public ranking data. Run it to drop the current league ordering and bid projections in here. (Per site policy, I'd rather show this note than invent rankings or bid counts.)

How to read conference-strength talk

  • Depth and ceiling are different. A league can be top-heavy (two great teams, a soft middle) or deep (lots of solid teams, no juggernaut). Average rating rewards depth; "top-three" ratings reward ceiling. Which matters depends on whether you're asking about bids (depth) or who can win it all (ceiling).
  • Conference rank is a tool, not a verdict. "Best conference in America" is a fun argument, but the bracket is decided team-by-team on team sheets, not league-by-league. A great team in a weak league still gets in with the right non-conference résumé; a mediocre team in a strong league doesn't get a bid just for the address.
  • Beware early-season league ratings. Like strength of schedule, conference strength is unstable until enough games are played and opponents' records settle. It's a February-and-March read, not a December one.
  • The automatic bid is the great equalizer. No matter how weak a league rates, its tournament champion is in. Conference strength governs the at-large bids on top of that — which is the entire game for power leagues and a near-impossibility for most others.

So when someone insists their conference deserves more bids, the honest response isn't to argue about the league's name — it's to look at the team sheets. Bids follow strength because strength, measured properly, is just a summary of the quality wins a league's schedule makes possible. Build a deep league, schedule up out of conference, and the bids take care of themselves. That's not favoritism. It's the math doing exactly what it's designed to do.

Sources & further reading

The CollegeAthleteInsider Analyst

I'm an independent analyst covering college football and basketball through public data. Every number here traces to a script in /scripts. More about the methodology →