Today's matchup
Eric draws Chicago White Sox on the road today. He shows up on 12 boards — singles (62.5/100, #35), total bases (61.1/100, #51), h+r+rbi (58.8/100, #76), hits (55.9/100, #74). We've got him at 0.7 on the singles board. Open any board row for the full breakdown of what's driving it.
Small sample, handle with care
Eric has just 42 at-bats in our graded season log — not enough to say much. He's hitting .190 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
Eric 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.
No graded record on him yet
We haven't ranked Eric a top-20 hitter matchup often enough this season to have a record worth publishing — not once so far. He's appeared in 22 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
Eric was scored on 12 boards in that matchup, and the spread is the interesting part: singles graded 62.5/100 while stolen bases came in at 3/100. 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
Eric 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 Eric specifically, his sample is small (42 at-bats logged), and we don't have a meaningful graded record on him yet.