Last Wednesday, the Angels acquired starting pitcher Lucas Giolito in a rare week-before-the-deadline splash trade. The 28-year-old broke out in 2019 to finally make good on his former top prospect status, and has been excellent ever since, save for last year’s disappointing results. He has spent the majority of his career with the White Sox, calling Guaranteed Rate Field (GRF, or whatever company paid up for naming rights each year) his home, but will now be heading to a new home park, the more simply named Angel Stadium (AS). How might the change in home park affects his results? Let’s consult the park factors and find out.

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Jordan Montgomery is on the move again! After being dealt last year at the trade deadline from the Yankees to the Cardinals, he has now been sent to the Rangers, who are going all in on a championship this season. How might the change in home park affect his results? Let’s consult the park factors and find out.

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No, not the law enforcement agency whose members don cowboy hats! Yesterday, Max Scherzer was officially traded to the Rangers as perhaps the biggest name to be dealt before this year’s trade deadline. After spending two seasons with the Mets, how might the move to Globe Life Field (GLF) affect his results? Let’s consult the park factors and find out!

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Welcome back to the Ottoneu Starting Pitching Planner. Based on the Roster Resource Probables Grid, I’ve organized every starter slated to start next week into four categories: start, maybe, risky, and sit. The first and last category are pretty self-explanatory. Starters who fall into the “maybe” category are guys you could start if you need to keep up with the innings pitched pace in points leagues or need to hit your games started cap in head-to-head leagues; they’re good bets to turn in a decent start, but you shouldn’t automatically insert them into your lineup. If you’ve fallen behind on the innings pitched pace or you’re really starving for starts in a head-to-head matchup, you could turn to a “risky” starter or two.

I’ve also calculated a “Matchup Score” for each series using a straight combination of opponent’s home/away wOBA, opponent wOBA over the last 14 days, and the park factor for the ballpark the teams are playing in. It’s indexed so that 100 is average and anything above that is a favorable matchup and anything below is unfavorable. That matchup rating informs some of the sit/start recommendations I’m making, though the quality of the pitcher definitely takes precedence.

A few general schedule notes first:

• The trade deadline is on Tuesday next week which means some of these rotations might look very different by Wednesday. Keep an eye on the probable matchups early in the week while players get moved around; the recommendations I made above assume that everyone sticks with their original team which obviously won’t happen. When in doubt, use the matchup rating for the series to determine whether or not to start a pitcher on his new team if they’re traded midweek. The rotations for each team should be settled by the weekend which means next week’s recommendations should be a bit more straightforward.
• The impending returns of Hyun Jin Ryu, Max Fried, Nestor Cortes, and José Urquidy will also shake up the rotations on their respective teams. Generally, I recommend waiting a start or two before inserting a starter back into your lineup after he returns from a major injury like these four are.
• As far as the actual schedules go, it looks like the Rangers and Mets both get a pair of easier matchups next week. Texas plays at home against two weaker offenses while the Mets travel to two pitcher friendly ballparks.
• The Braves, Padres, and Reds get a tough slate of opponents next week. Cincinnati and Atlanta both travel to Chicago to face the red hot Cubs and they’ve got tough home matchups in their other series next week too. San Diego travels to Colorado to start next week and then returns home to face the Dodgers over the weekend.

Notable two-start pitchers:

• Zac Gallen
• Framber Valdez
• Pablo López
• George Kirby
• Corbin Burnes
• Freddy Peralta
• Alex Cobb
• Jon Gray
• Johan Oviedo
• Brayan Bello
• Taijuan Walker
• Ranger Suárez
• Marcus Stroman
• José Quintana

Let’s finish reviewing the rookie starting pitchers with a trio that have posted underwhelming results so far. Two of these three names were former top prospects. Let’s find out whether it’s worth sticking with them.

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Welcome back to the Ottoneu Starting Pitching Planner. Based on the Roster Resource Probables Grid, I’ve organized every starter slated to start next week into four categories: start, maybe, risky, and sit. The first and last category are pretty self-explanatory. Starters who fall into the “maybe” category are guys you could start if you need to keep up with the innings pitched pace in points leagues or need to hit your games started cap in head-to-head leagues; they’re good bets to turn in a decent start, but you shouldn’t automatically insert them into your lineup. If you’ve fallen behind on the innings pitched pace or you’re really starving for starts in a head-to-head matchup, you could turn to a “risky” starter or two.

I’ve also calculated a “Matchup Score” for each series using a straight combination of opponent’s home/away wOBA, opponent wOBA over the last 14 days, and the park factor for the ballpark the teams are playing in. It’s indexed so that 100 is average and anything above that is a favorable matchup and anything below is unfavorable. That matchup rating informs some of the sit/start recommendations I’m making, though the quality of the pitcher definitely takes precedence.

A few general schedule notes first:

• There are a bunch of teams who have two off days next week and will only play five games as a result: the A’s, Braves, Marlins, Rays, Red Sox, Yankees. Since they won’t necessarily need a fifth starter, keep an eye on the probable pitchers listed on Sunday in case any of those teams decide to go with a four-man rotation and skip someone’s regular turn in the rotation.
• The Tigers and Giants would have played only five games next week but they had a rainout rescheduled for Monday. That means San Francisco will play in Washington this weekend, in Detroit on Monday, and then fly home to start a series against the A’s on Tuesday.
• The Twins easy schedule post-All-Star break continues next week with a pair of matchups against the Mariners (again) and the Royals. Every one of their starters have been pretty close to a must start all season long and you can just set them and forget them next week too.
• The Blue Jays and White Sox get a pretty tough slate of games next week. Toronto gets the double Los Angeles experience with one series on the road (at the Dodgers) and one at home (versus the Angels). The Cubs and Guardians may not seem like tough opponents on paper, but both teams have been hitting particularly well recently and both series will be played in the home run friendly confines of Guaranteed Rate Field.

Notable two-start pitchers:

• Justin Verlander
• Luis Castillo
• Eduardo Rodriguez
• Nathan Eovaldi
• Kenta Maeda
• Aaron Civale

I last reviewed rookie starting pitchers just over a month ago. Naturally, there have been a host of new faces that have ascended to the Majors since. So let’s get back to reviewing some of the more recently recalled rookies starting pitchers.

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Yesterday, I highlighted and discussed four starting pitchers ranking high on the last 30 day SwStk% leaderboard. Let’s now flip to the other end of the leaderboard — those starters who surprisingly find themselves closer to the bottom.

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Pitcher skills change far more frequently than hitters and pitchers can seemingly transform themselves mid-season simply by changing up their pitch mix or adding or losing velocity. So it pays to not only look at a pitcher’s full season line when evaluating his performance and forecasting the rest of the season, but also how he has performed more recently. So with that in mind, let’s discuss some of the most interesting names on the last 30 day SwStk% leaderboard.

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I have a major love-hate relationship with the STUFFF metrics. After just a few pitches, useful information becomes available to determine if a pitcher has improved or not. On the other hand, the issue I have against STUFFF is the lack of transparency and values change as the dataset increases. With all the STUFFF talk, all I want to know is how changes in it will affect a pitcher’s fantasy-relevant stats. In my first article, I set some ERA baselines for the STUFFF values. The next step is to understand what a change in a STUFFF value has on a pitcher. For example, if I hear their Stuff+ jumps from 90 to 110, why should I care? Is the pitcher’s ERA going to drop by 1.00 or by 0.10 or not at all? I decided to just make a major data dump to have a reference when a STUFFF value does move.

Caution: The following values may or may not be predictive. They could just be descriptive. There is just not enough information (2 years of information) to run any ideal predictive test at this point, especially with STUFFF’s vagueness and everchanging nature.

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