Okay, so I wanted to dig into the player stats for the recent Yankees versus Baltimore Orioles matchup. It’s always interesting to see who’s hot and who’s not before or after a game, you know?

Getting Started
First thing I did was just open up my usual browser. Didn’t go anywhere fancy. I just typed something simple into the search bar, like “Yankees Orioles player stats recent game”. Sometimes I add the date if I remember it, helps narrow things down.
A bunch of sports sites popped up, the usual suspects. ESPN, MLB’s official site, sometimes fan forums or stat-heavy sites. I usually click on one or two of the main ones first, they tend to have the box scores laid out clearly.
Looking Through the Numbers
I found a good box score pretty quickly this time. It laid everything out – who played, their positions, and the basic hitting lines: at-bats, runs, hits, RBIs, strikeouts, walks, that sort of thing.
For the Yankees:
- I looked straight for guys like Judge and Soto, obviously. Wanted to see if they got on base, drove in runs. Checked their hit totals for the game.
- Then I scanned down the rest of the lineup. Looked for anyone who had a multi-hit game or maybe someone who struck out a bunch. You get a feel for who contributed and who struggled.
- Checked the pitcher’s line too. How many innings, hits allowed, earned runs, strikeouts. See if the starter went deep or if the bullpen had a heavy workload.
For the Orioles:

- Did the same thing for the O’s. Looked for Henderson, Rutschman, Santander – their key guys. See how they matched up against the Yankees’ pitching.
- Checked their hits, RBIs, if they drew walks or went down swinging.
- Also looked at their starting pitcher’s performance. How effective were they? Did they keep the Yankee bats quiet? How many pitches did they throw?
Putting it Together
After glancing over the individual numbers, I kind of compared them side-by-side in my head. Which team got more guys on base? Who had the big hits when it mattered? Which pitcher seemed more dominant?
It wasn’t super deep statistical analysis, more like getting the story of the game through the numbers. Who were the heroes, who had a tough day?
It took maybe 10-15 minutes total. Just clicking around, reading the lines, getting a feel for how the players performed in that specific game. Pretty straightforward stuff, but always gives you a bit more insight than just looking at the final score.