NJRB

How It Works

The Math Behind the Rankings
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The Philosophy

Why Build a Model?

High school rankings are inherently controversial. Every coach, parent, and fan has an opinion โ€” and they're often shaped by the teams they've seen play. The "eye test" is real, but it's also subjective.

We wanted something different: a system that looks only at game results and lets the math speak for itself. No voting, no bias, no preseason hype. Just outcomes.

The result is a model built on one core question:

"If this team played a perfectly average opponent on a neutral field, how many runs would they win or lose by?"

That number is called the Adjusted Efficiency Margin (AdjEM), and it's the foundation of every ranking on this site.

What Is AdjEM?

A Single Number That Tells the Story

AdjEM stands for Adjusted Efficiency Margin. Think of it as a team's "true strength" score, measured in runs.

A team with an AdjEM of +3.0 is expected to beat a perfectly average team by about 3 runs. A team at -1.5 would lose to that same average team by about 1 or 2.

The key word is adjusted. Raw point differential doesn't cut it โ€” beating a weak team by a wide margin shouldn't count the same as beating the #1 team by a slim one. AdjEM accounts for who you played and how you performed relative to expectation.

Home Advantage

Leveling the Playing Field

Home teams have a built-in edge โ€” familiar surroundings, crowd support, no travel fatigue. The model accounts for this by subtracting a fixed home-advantage value from the home team's score before computing the margin of victory.

For Softball, we subtract 0.45 runs from the home team's score. So if a home team wins 7โ€“3, the model treats the effective margin as 3.55 runs rather than 4.

This ensures that a dominant home performance and a dominant road performance are evaluated fairly, and teams aren't rewarded simply for playing more games at home.

Strength of Schedule

The Web of Strength

Here's where it gets interesting. Every team's rating depends on the strength of the teams they've played โ€” but those teams' strengths depend on their opponents, and so on. It's an interconnected web.

To untangle it, the model runs 50 iterations. In the first pass, every team starts at zero and ratings are based on raw results. In the second pass, those initial ratings inform a better picture of opponent strength. By the 50th pass, the ratings have stabilized into something meaningful.

This is why schedule matters so much. A team that beats three Top 20 opponents earns more credit than a team that runs up the score against weaker competition โ€” even if their raw record looks identical.

Margin of Victory

The "Bully" Protection

Winning big matters โ€” but only up to a point. The model limits how much credit a blowout is worth so that teams can't game the rankings by running up the score.

For Softball, the model uses a hard cap on margin of victory at 9 runs. Any margin beyond 9 is simply ignored.

Whether you win by 9 or by 27, the model sees the same result. This keeps the focus on winning convincingly rather than running up the score.

This means the model rewards convincing victories without letting teams inflate their rating by pouring it on late in a lopsided game.

The Math in Motion
compare_arrows Two Teams, Two Paths
Scenario A
The Bully
Wins by 27 runs against a bottom-tier team. The raw margin is huge, but the hard cap limits effective credit to just 9.
Effective credit: +9.0 ยท Rating barely moves
Scenario B
The Contender
Wins by 3 runs over a Top 10 opponent. Full margin credit applies, and the opponent adjustment provides a massive boost.
Effective credit: +3.0 on a strong baseline ยท Rating jumps significantly

The Contender's win is worth far more because the model recognizes the difficulty of the opponent. That's the power of combining strength of schedule with margin controls.

Quick FAQ

Rankings are recalculated every morning. As new games are reported, the model re-runs all 50 iterations from scratch to ensure every team's rating reflects the most current results.

Teams must play at least 5 games against in-state opponents to appear in the Softball rankings. This threshold ensures there's enough data for a meaningful rating. Your team still has a rating internally โ€” it just won't show up on the public page until the minimum is met.

The model subtracts 0.45 runs from the home team's score before computing margin. This accounts for the natural advantage of playing at home and ensures road wins are valued fairly. See the Home Advantage section above for more detail.
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