Today's matchup
Bryan draws St. Louis Cardinals at home today. He shows up on 12 boards — runs (28.7/100, #236), total bases (25.6/100, #236), doubles (25.1/100, #176), singles (22.4/100, #209). We've got him at 0.4 on the runs board. The model doesn't love the spot — the numbers are below. Open any board row for the full breakdown of what's driving it.
Small sample, handle with care
Bryan has just 36 at-bats in our graded season log — not enough to say much. He's hitting .389 across them, but a number built on this little data moves wildly with one good week. His confidence rating on any board reflects that: the model will still score his matchup, it's just honest that it's working with thin information. Treat the projection as a starting point, not a read.
He's a right-handed bat
Bryan hits from the right side, so the platoon math runs the other way from a lefty's. Right-handed bats face right-handed pitching most of the time, meaning his baseline is built against the harder side and a left-handed starter is the upgrade. That's why a righty's score can jump on a day nothing else about the matchup changed. The model weighs his rates against the specific handedness he's drawing rather than a blended season number, which is where a lot of the day-to-day movement in his score comes from.
His best game in the log
Bryan's biggest night was Sunday, August 23, 2026 against STL — 2-for-4 with 1 driven in. That's the ceiling, not the expectation. The projection you'll see on a board is closer to his typical game than his best one, which is the whole point of projecting rather than remembering.
No graded record on him yet
We haven't ranked Bryan a top-20 hitter matchup often enough this season to have a record worth publishing — 1 time so far. He's appeared in 18 graded games, so the log below is real; there just isn't a track record on our calls to show. It'll build here if the matchups start landing his way.
Where he lands across our boards
Bryan was scored on 12 boards in that matchup, and the spread is the interesting part: runs graded 28.7/100 while triples came in at 4.1/100. Same player, same game, same opposing arm — different questions. A spread that wide usually means the matchup favours one kind of outcome over another, and it's the clearest argument for reading the board that matches what you actually care about.
How the model reads him
Bryan gets scored the same way a backup infielder does — same inputs, same scale, no thumb on it. What he's done against arms of this handedness, what this particular pitcher and bullpen give up, his likely plate appearances, the ballpark, the conditions, his recent form. The weighting behind those is ours and gets re-tuned weekly against what actually happened. The output is public and graded, which is the only claim worth making.
What we'd flag
Read this page knowing what it can't do. It can't show you a line no book posted — coverage peaks around 87% for confirmed starters. It can't see a lineup change that happens after the projection publishes. And it can't tell you anything useful from one game, because the model is only measurable across a season-sized sample. For Bryan specifically, his sample is small (36 at-bats logged), and we don't have a meaningful graded record on him yet.