Today's matchup
Today it's Cleveland Guardians for Randal, at home. He shows up on 12 boards — home runs (77.3/100, #2), doubles (75.6/100, #2), hits (52.6/100, #9), h+r+rbi (51.2/100, #9). We've got him at 0.3 on the home runs board. Open any board row for the full breakdown of what's driving it.
Recent form
Randal is 9-for-29 (.310) over his last 10 games, in line with his .294 season line. No hot streak to fade, no slump to buy — the matchup is doing the work in his score, which is the normal case. The full game log is below.
What kind of hitter he is
Randal has 12 home runs and 37 extra-base hits in 235 at-bats this season. That profile is why he grades better on the total-bases and home-run boards than his batting average alone would suggest — those boards reward damage, not just contact. Park and weather matter more for a hitter like him too, and both feed the score.
He's a right-handed bat
Randal 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.
Floor and ceiling
Randal has recorded at least one hit in 53 of 98 games he's batted in — 54% — with 13 multi-hit games among them. That's a boom-or-bust profile. He'll carry a game outright and then go quiet for three, so his hits-board score tends to sit below hitters with worse power and better contact.
Home and away
Randal is hitting .279 at home (29-for-104) and .305 on the road (40-for-131) across the season. There's not much in it, which is the normal case. Home-road splits get talked about far more than they hold up.
Against Cleveland Guardians
Randal is 1-for-7 (.143) against Cleveland Guardians in our log, over 3 games. Worth knowing, worth not over-reading. 7 at-bats against one club is a tiny sample, and the model treats it as a minor input next to what that pitching staff actually allows to his handedness. Batter-versus-pitcher history is the most quoted number in baseball and one of the least predictive.
His best game in the log
Randal's biggest night was Tuesday, September 22, 2026 at KC — 4-for-5 with 1 homer, 3 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.
How our calls on Randal have graded
In the 13 games where we ranked Randal a top-20 hitter matchup, he recorded a hit 7 times — 54%. That's a thin sample and we'd treat it as such. Every one of those calls was graded against the real box score, misses included.
Where he lands across our boards
Randal was scored on 12 boards in that matchup, and the spread is the interesting part: home runs graded 77.3/100 while stolen bases came in at 0/100. 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
Randal's score rates the spot in front of him, not the name on the jersey. It weighs his rates against the kind of arm he's facing — handedness matters a lot — set against what that pitcher and his bullpen give up, then adjusts for expected playing time, park, weather, and recent form, normalized 0–100 across the slate. The weighting is proprietary and re-tuned weekly; the grading is public, and that's the half that proves anything.
What we'd flag
Books don't price every player — coverage tops out around 87% even for confirmed starters, so "no line" here usually means no book posted one rather than a gap in our data. Lineups change late, and an afternoon projection can be stale by first pitch. And the model is tuned across hundreds of graded outcomes, so one game tells you nothing about whether it's working.