Today's matchup
Today it's Tampa Bay Rays for Gunnar, at home. He shows up on 12 boards — runs (69.3/100, #39), total bases (66.5/100, #28), fantasy points (61.8/100, #14), hits (51.2/100, #116). We've got him at 0.5 on the runs board. Open any board row for the full breakdown of what's driving it.
He's swinging a hot bat
Gunnar is 11-for-37 (.297) over his last 10 games — well clear of his .218 season mark. Our model does lean on recent form, but it weights it against the matchup rather than chasing it: a hot bat facing a tough arm in a bad park still grades as a tough spot. Streaks like this one also end without warning, which is why the score moves on the matchup and not on the streak.
What kind of hitter he is
Gunnar has 17 home runs and 44 extra-base hits in 499 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 left-handed bat
Gunnar hits from the left side, and that's the first thing the model looks at. Left-handed hitters see right-handed pitching most nights, which is the favourable side — so a lefty bat's baseline is set against righties, and drawing a left-handed starter is a genuine downgrade rather than a rounding error. When you see his score fall on a day he's still in the lineup, an opposing lefty is usually why. Handedness also shapes the park read: pull-side geometry matters more for a left-handed swing than the raw park factor suggests.
Floor and ceiling
Gunnar has recorded at least one hit in 72 of 124 games he's batted in — 58% — with 24 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
Gunnar is hitting .202 at home (51-for-253) and .236 on the road (58-for-246) 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 Tampa Bay Rays
Gunnar is 9-for-27 (.333) against Tampa Bay Rays in our log, over 7 games. Worth knowing, worth not over-reading. 27 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
Gunnar's biggest night was Friday, August 14, 2026 at TB — 4-for-4 with 1 homer, 2 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 Gunnar have graded
In the 14 games where we ranked Gunnar a top-20 hitter matchup, he recorded a hit 8 times — 57%. 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
Gunnar was scored on 12 boards in that matchup, and the spread is the interesting part: runs graded 69.3/100 while triples came in at 13.2/100. 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
Gunnar'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.