Eleven games on the board with a slate that has one obvious anchor and a few quiet builds underneath it. The Braves at Coors lead in implied total even with a wind blowing in, and the rest of the slate shapes up as a salary puzzle: a couple of elite pitchers at the top, a lefty-vulnerable backend in St. Louis, and a few mid-priced bats in good spots that should sneak through with low ownership. Lineups are projected, not all locked, so keep an eye on confirmation as we get closer to first pitch.
Weather to Watch
A handful of games have weather worth thinking about, but most of the slate sits in the neutral-to-mild range. Two domes (Tropicana and loanDepot) take wind off the table entirely, and the early Wrigley game is not on the main slate so the brutal April cold there does not factor in.
Cleveland at Athletics | Sutter Health Park | Overcast, 80F | Wind: 9.3 mph SW
Wind blowing out at a hot, dry park that already plays as the most extreme HR environment on the slate. HR boost is meaningful, runs trend up. The Athletics power bats and Cleveland lefties both benefit.
Atlanta at Colorado | Coors Field | Clear, 62F | Wind: 11.6 mph NE
Counterintuitive but real: the wind is blowing in at Coors and the HR environment plays slightly suppressed. Total is still 11 because Quintana is the matchup, not because of altitude alone. Expect plenty of doubles and barrels falling in the gap rather than a HR parade.
The rest of the slate is dome-neutral or in the noise. No need to overthink it.
HR Calls
The models are pointing at two clear themes: extreme power profiles getting paired with vulnerable arms, and the Atlanta lineup eating Quintana even with the Coors wind issue. Here are the calls I am rolling with.
Munetaka Murakami (CWS) $5,900 vs Germán Márquez
[STANDARD MODEL]
Murakami has been crushing the ball at every level of contact data this year, and Márquez is exactly the kind of arm a power lefty wants to see. Márquez has a 5.89 FIP against a 4.38 ERA, runs a 2.19 HR/9, and has been rougher against lefties (.386 wOBA, 19% HR/FB allowed). The Petco park factor is the only reason this is not the unanimous top call on the slate. Murakami's 21.5% barrel rate is real and the salary still does not reflect what the model sees.
Mike Trout (LAA) $6,000 vs Christian Scott
[STANDARD MODEL]
Angel Stadium plays as one of the friendlier HR parks at 109 in tonight's data, and Scott is a young arm with almost no major league sample to lean on. Trout's 17.6% barrel rate and 39.6% hard-contact rate make him a plus right-handed power bat in any matchup, and the model loves the combination of his profile against a fly-ball-prone rookie at a hitters' park. Salary is not light but his ceiling at this number is among the best on the slate.
Matt Olson (ATL) $5,700 vs Jose Quintana
[SLEEPER MODEL]
This is the headliner sleeper play of the slate. Quintana's ERA sits at 4.91, but his FIP is 6.79 and his xFIP is 6.45, which is a massive gap pointing at hard regression. He is allowing a 6.75 ERA against left-handed bats this year with a 50% HR/FB rate in that small sample, and he simply cannot miss bats. Olson has hit lefties just fine in 2026 (145.8 wRC+ vs LHP) and his 39.4% hard-contact rate plays everywhere. The Coors wind is a slight headwind, but the park factor of 123.9 still skews things in his favor and the matchup quality drives the call.
Stacks to Target
The slate is light on truly elite stacking spots, but it has one obvious top of the board and a couple of legitimate pivots underneath it. The chalk will pile into Atlanta and Los Angeles, so construction matters more than usual today.
1. Atlanta vs Jose Quintana (L) | Implied Total: 6.9 | ROO Score: 7.1/10
Atlanta sits top of the slate in implied total by a wide margin, and the model rates Quintana as one of the most exploitable starters on the board. He has a 6.79 FIP and a 6.45 xFIP, allowing 1.96 HR/9 with a 13.4% walk rate. The platoon angle is unusual but real: this Atlanta lineup hits left-handed pitching better than righties this year, and Quintana himself is worse against lefties (6.75 ERA vs LHH, .425 wOBA, 50% HR/FB allowed in that split). The right-handed core of Acuna and Riley feasts on lefties (157+ wRC+ vs LHP for Riley, plus elite power numbers for both), and the lefty bats Olson and Baldwin do not lose anything against a same-sided arm because Quintana is that bad. The wind is blowing in at Coors and the HR environment is a touch suppressed, so doubles and runs pile up faster than home runs. Ownership will be heavy, but the spot is too good to fade entirely. Build around it and look for places elsewhere to be different.
Core pieces: Ronald Acuna (R, leadoff), Drake Baldwin (L, 2-hole), Matt Olson (L, cleanup), Austin Riley (R, 5-hole)
2. Los Angeles Dodgers vs Matthew Liberatore (L) | Implied Total: 5.24 | ROO Score: 7.0/10
Liberatore's surface ERA of 4.75 hides a 6.40 FIP, an 86.6% LOB rate, and a 2.37 HR/9. The peripherals point at hard negative regression and the splits are even uglier: a 10.80 ERA against left-handed bats this year with a .535 wOBA allowed and a 57% HR/FB rate in 33 batters. That is rare territory. The Dodgers are stacked with high-end lefty bats who eat lefties anyway: Ohtani's 228 wRC+ vs LHP this year is the slate's best mark, Andy Pages is at 165 vs LHP, and even Will Smith and Freeman are usable here because Liberatore cannot get anyone out. Stack leverage on the top five HR projections sits at 73% so this is a true power stack. The chalk fade angle is real because everyone will be on Atlanta first, leaving Los Angeles a lower-owned mirror.
Core pieces: Shohei Ohtani (L, leadoff), Freddie Freeman (L, 2-hole), Will Smith (R, 3-hole), Andy Pages (R, 8-hole)
3. New York Yankees vs Baltimore (TBD) | Implied Total: 5.26 | ROO Score: 6.1/10
This is the leverage stack of the slate. Yankee Stadium plays as a 152 HR park index, the lineup is loaded with right-handed power against a TBD Orioles arm, and the slate's broader chalk is going to the National League games. Aaron Judge against righties is an automatic start, Ben Rice has been launching everything (16.3% barrel rate, 68% HR/FB vs LHP if Baltimore goes that direction), and the supporting cast at lower salaries opens construction options. There is no obvious platoon mismatch to highlight because the opposing starter is unconfirmed, but Yankees lefties are also crushing it (Wells, Bellinger, Chisholm) so the lineup is hand-flexible. Lower owned than Atlanta or Los Angeles will be by lock and the ceiling is just as high.
Core pieces: Aaron Judge (R, 2-hole), Ben Rice (L, 3-hole), Cody Bellinger (L, cleanup), Jazz Chisholm (L, 7-hole)
Pitchers
The top of the pitching board is strong with three high-floor arms in the $9K range, then a steep drop to the punt territory. Cash construction wants to spend up here. GPP gets to be more creative with the mid-priced names where projection variance opens upside relative to salary.
Will Warren (NYY) vs BAL | $8,900 | CASH
The best pitcher on the slate. A 2.78 FIP backed by a 2.68 xFIP says the surface ERA is real, his 28.7% strikeout rate plays in any park, and the Orioles are projected for just 3.24 runs. Yankee Stadium is a homer-prone park, but Warren has only allowed 0.86 HR/9 this year and his ground-ball rate is up. He is a top-tier projection at the top-tier price. Just plug him in.
Bryan Woo (SEA) vs KC | $9,000 | CASH
T-Mobile Park, a Royals lineup that struggles to slug, and a 3.76 FIP with a sub-1.10 WHIP. Woo punches up here on a slate where strikeouts come at a premium and Kansas City is implied for just 2.95 runs. Ownership will be elevated but he comes with the upside of a complete-game type performance and that ceiling is hard to fade in cash.
Robbie Ray (SF) at TB | $9,300 | CASH
Ray is the riskiest of the cash arms because his ERA sits well below his FIP and xFIP, but the spot is excellent: a dome game, the Rays implied at 4.24, and Ray's strikeout rate is up over 25%. He has been dominant against lefties this year. Tampa Bay is mostly right-handed in their core which is a slight concern, but the projection still leads.
Emmet Sheehan (LAD) at STL | $8,700 | GPP
Sheehan's ERA is 4.78 but his FIP is 4.12 and his xFIP is 3.50, so the underlying skill is much better than the surface and his 25.5% strikeout rate matches the profile. The Cardinals offense is implied for just 3.26 runs, the lowest team total of the slate outside Kansas City. He carries some HR risk (1.37 HR/9) but in a contained run environment with strikeout upside, he is a leverage play against the more popular cash arms.
Mike Burrows (HOU) at BOS | $7,000 | GPP
This is a salary-relief play, not a quality-projection play. Burrows has been bad on the surface (6.25 ERA) but his .378 BABIP is unsustainable and the model thinks better days are coming. Fenway is not the spot you want for a positive regression call, but at $7,000 with Houston implied at 4.66 (giving him win equity) and a 23% strikeout rate, he opens up the bat budget meaningfully. Tournament use only.
Pitcher Regression to Watch
Sample sizes are still on the smaller side this early in the year, but a few starters today have enough innings to flag. The signal is not always actionable on the pitcher himself; the bigger DFS implication is on the opposing offense.
Matthew Liberatore (STL) Negative Regression Candidate
Liberatore's 4.75 ERA is propped up by an 86.6% LOB rate and a .29 BABIP that is right around league average, but his FIP is 6.40 and his xFIP is 5.00. The strikeout rate is just 14.1% and the home run rate is 2.37 HR/9, which is brutal in any environment. This means the Dodgers offense is even more attractive than the surface stats on Liberatore would suggest. Negative regression for the pitcher equals positive value for the lineup he is facing, and Los Angeles is loaded with the kind of bats that turn his soft stuff into souvenirs. If you are deciding between the Atlanta stack and a Dodgers stack on a budget, the Liberatore matchup quality is the tiebreaker for me.
Mike Burrows (HOU) Positive Regression Candidate
The other side of the regression coin. Burrows owns a 6.25 ERA with a 5.15 FIP and a 4.13 xFIP, plus a .378 BABIP that says he has been getting hit hard and unlucky in equal measure. The xFIP says better days are coming, but more importantly: opposing teams should not be over-stacked against him expecting more of the same. Boston at home with a 9.5 total looks like a great stacking spot at first glance, but the regression signal says do not pile on. Use Sox bats selectively rather than going full team stack.
Final Thoughts
The cash foundation today builds itself: Will Warren as the SP1 anchor, a piece of the Atlanta lineup as your hitter exposure backbone, and one of Bryan Woo or Robbie Ray as the pitching counterweight. From there, the question is salary management because the top hitter spots (Atlanta, Dodgers, Yankees) are not cheap and you need salary to fit two strong arms.
Watch the Coors wind in the hours before lock. If the forecast shifts even a little and the wind eases up, the HR ceilings on the Atlanta stack jump and Olson moves from a sleeper play to a tournament must-have. If the wind stays in or strengthens, the run-environment story stays the same but the ownership rush could shift slightly. Also keep an eye on Baltimore's pitcher confirmation. If a fly-ball arm gets the start at Yankee Stadium, the New York stack moves up the leverage board fast.
For GPP pivots, I love Munetaka Murakami at $5,900 against Marquez as a leverage power bat off the chalk pile. The Yankees stack at lower projected ownership than Atlanta or Los Angeles is a real opportunity to win contests with similar upside but less of a crowd to navigate. And on the pitching side, Emmet Sheehan offers strikeout upside at a slight discount with a friendly opposing implied total, which is exactly the GPP profile you want when Warren and Woo are getting most of the cash love.
One last construction note: with such a clear two-stack chalk dynamic at the top, your differentiation likely lives in your bring-back choice and your one-off bats. Pick one stack everyone is on and one stack nobody is on, then use the salary savings on a leverage SP. That is the formula for a slate where the data points to a few obvious answers but ownership concentration creates leverage opportunities everywhere else.
Tools used for this slate
Every number in this playbook comes off the free BankrollSZN tools: today's MLB DFS projections, the MLB home run predictor, first-pitch weather for every game, today's starting pitchers, and the free MLB lineup optimizer.