The Minor League Park Factors Are Out – How Do the Cubs’ Various Parks Shake Out? ...Middle East

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Park Factors have come up a couple times already for me this week. Michael and I touched on it a bit in the latest BN Cubs Podcast, and I also wrote about it in my recent take on Edward Cabrera and the one possible wart to look out for in his move away from his former South Florida home ballpark.

The gist of Park Factors: because every ballpark is laid out differently in ways that can dramatically impact the likelihood of a ball going foul, a ball going over the wall, or a ball getting caught in a jet stream, there are calculations you can make to figure out how better to think about a guy’s performance. For example, Wrigley Field was brutal for home runs in 2024 (a Park Factor of 85, or about 15% worse for hitting homers than the average park) but relatively friendly in 2025 (111, or about 11% better for hitting homers than the average park (it’s all normalized to a scale where 100 is average)).

You can have overall offensive Park Factors, and also a bunch of individual categories (for which home runs might be the most interesting, but there are also some crazy but very real phenomena like T-Mobile Park being particularly great for pitcher strikeouts).

If you were wondering, Wrigley Field overall was about 3% tougher on offense in the aggregate over the last three years, which sounds about right. It has skewed pitcher-friendly, but not egregiously so (9% more pitcher-friendly in 2024, but 1% more hitter-friendly in 2023).

Anyway, you can peruse the Park Factor data at Statcast right here to find some interesting things for the 30 MLB ballparks.

What’s also interesting this week, however, is that the minor league Park Factors for 2025 are out at Baseball America. To me, that is at least as interesting, because it can help give us important context for evaluating prospect performances where we aren’t otherwise watching them daily and already intuitively know the home ballpark skews this way or that. This is especially true, because statistics are not normalized for Park Factors in the minor leagues, and that includes even an advanced stat like wRC+. We kinda need to know where prospects are playing half their games to better appreciate their performance, you know?

Park factors for all MiLB teams as well as how they play for LHH vs RHH. t.co/6s92x88aMK pic.twitter.com/FCCVX6rjp4

— JJ Cooper (@jjcoop36) January 30, 2026

Among the things that leap out at me from each of the Cubs’ full-season affiliates …

The Iowa Cubs’ home ballpark skewed hitter-friendly in 2025 (109), but almost entirely because of a large home run Park Factor (117). Nice to see, then, that Moises Ballesteros and Jonathon Long’s homers were pretty evenly-distributed on the road and at home. Just three of Kevin Alcantara’s 17 homers came on the road, for what that’s worth. The Park Factor for the Knoxville Smokies was 89, which definitely tracks with our perception that it’s a pitcher-friendly place. Particularly interesting, though, is that, once again, most of that is coming from the home run side of the ledger (69 PF, yikes). So you can think about power performances in Knoxville as being even more impressive (B.J. Murray’s 20 dingers, though he was repeating the level), and the power suppression by pitchers being a little eyebrow-raising (particularly guys whose HR/9 was super low, whose other peripherals were mediocre, and whose overall results were great). South Bend’s 89 Park Factor matches that of the Smokies, though it comes from a more evenly-distributed bit of offense-suppression, rather than pretty much being entirely about the dingers. Historically, this feels right. There’s nothing super weird about South Bend, it just happens to skew a little pitcher-friendly when you consider the ballpark and the weather. Now for the crazy one: we know that Myrtle Beach’s home park is famously brutal for homers (68 PF tracks), but the overall offensive Park Factor was 109! It skewed hitter-friendly overall, when you incorporate all the other facets of run-production. That is so wild and extreme that it makes me wonder if it’s skewed at least a LITTLE bit by the fact that the Pelicans this year were overloaded by guys who don’t have a lot of over-the-fence power, but who were generally producing in all the other ways. I know that the model is supposed to be able to strip out the individual players because it’s looking at how they perform in other parks, but last year Myrtle Beach was an 87 overall, and an 83 on homers. So to go to 109(!) and 68 (!), respectively, is not only a monster swing, it’s such an extreme divergence that it needs some kind of weird explanation.

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