The top line is the outcome. The bottom row is the part nobody counted.

I’ve been talking, listening and arguing about Baltimore sports my whole life. Somewhere along the way I started asking different questions than the ones I was hearing, mostly because my vantage point changed. I play less now. I lead a company in tech and AI, and I coach. Leading teams, managing with data, and standing on the other side of the fence all change what you notice. You stop watching the ball and start watching everything happening around it.

You know the Monday routine. Open your phone and there are already a thousand takes on yesterday. This quarterback is clutch. That one isn’t. Somebody found one stat, posted it with little or no context, and by lunchtime it’s gospel, or at least it’s all over the radio shows and the podcasts.

I’ve been guilty of it too. But the more I watched, the more I kept asking follow-up questions nobody was answering, or even asking. What was the score when that happened? Who was coaching? Did the officiating change the momentum? How much time was left? Who was on the field around him? Would the answer change if you looked at it from a different angle?

What the name means

Everyone in sports talks about the bottom line. The final score, the stat line, the W or the L. One number that settles it. It grabs headlines and it engages people quickly.

This is about the row underneath.

Sports data doesn’t arrive as a bottom line, and it can be bent toward almost any narrative if you choose your numbers selectively. I would rather approach it the way Coach Lasso put it: be curious, not judgmental. We are lucky to have access to sources this rich, and they arrive as rows. One per play, and every row carries everything that play happened inside. The score at the time. The clock. The down and the distance. Who was on the field. What play was called. How likely each team was to win before the snap.

Very few people take the time to read those rows. The takes get made off the top line, and the row underneath goes uncounted.

The top line summarizes. The row remembers.

So when someone tells you a quarterback threw for 300 yards, that’s the top line. The bottom row is that 180 of them came after his team was already down 24 against a prevent shell. Same number. Different fact.

The top line is the outcome. The bottom row is the part nobody counted.

That’s the whole idea, and everything here comes back to it.

What I’m promising

I’ll tell you what I think before I look. Every piece starts with my thesis, stated plainly, so you can hold me to it. Then I go get the numbers.

I’ll show you the method. Every stat I use has a definition, and every definition lives on a page you can read: the exact filter, the thresholds I picked, and the arguments against picking them. If you think my definition is wrong, you can see precisely what to argue with.

I’ll tell you when I’m wrong. This is the one that matters, so let me prove it rather than promise it.

The first thing I got wrong

I just published a piece on the 2026 Orioles. Going in, I was certain about something. Our outfield was a big problem. They didn’t produce offensively, and they had to be giving away outs in the field too. Because did you watch them play defense?

It wasn’t as bad as I suspected. By Statcast’s fielding numbers the Orioles outfield finished dead average, fifteenth of thirty, and Colton Cowser had one of the better defensive seasons of any outfielder in baseball. As much as I miss watching Cedric.

I could have quietly dropped that section. Instead it’s in the piece, because the data told a different story, and that story changes what 2027 should look like. If the outfield were bad at both halves of the job, you have a much bigger hole to climb out of. Since the gloves were average, the glaring problem is somewhere else: the middle infield not hitting, the bullpen, development, fundamentals, small ball. I had the severity wrong, and being wrong about it opened up more areas actually worth researching before next season.

That’s the deal here. I don’t go looking for the picture I already want. I state the theory, then I go try to break it. I suspect I’ll be wrong often, and honestly that’s what makes this fun.

What you’ll get

A piece a week during the season, less often in the summer. Baltimore first, Ravens and Orioles, plus the occasional piece that’s just me chasing a number until it gives up.

There’s also a site at thebottomrow.com, where every chart is built from the data you can check, every definition has its own page, and there are tools you can actually use. One of them lets you ask whether a hitter is as dominant in baseball as a quarterback is in football, which turns out to be a harder and more interesting question than it sounds.

Now your turn

The best thing you can do here is disagree with me.

Reply to this email with a question you actually want answered, or a take you think I’ll get wrong. I’ll pull the numbers on the best ones and publish what comes back, credited to whoever asked. If your definition beats mine, I’ll rerun it with yours and show both.

Free, all of it, for now. Bring your own numbers.

Chris

Sources: MLB Stats API; Baseball Savant. Full 2026 season. The Bottom Row No. 000 · bottomrowsports.substack.com · Written by a fan, for an argument. Bring your own numbers.