# MLB Due for a Homer — May 4, 2026

> These 3 hitters have elite Statcast power numbers but fewer HRs than expected. With favorable matchups today, they're the most likely regression candidates on the slate.

**Date:** 2026-05-04  
**Author:** HeatCheck HQ  
**Tags:** MLB, Home Runs, Due for HR, Statcast, Daily Picks  
**Full article:** https://heatcheckhq.io/blog/mlb-due-for-hr-may-4-2026  
**Live picks & dashboards:** https://heatcheckhq.io

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Not every hitter who *should* be hitting home runs *is* hitting home runs. Baseball is random in the short term — a barrel at 108 mph can be a warning-track flyout one day and a 420-foot bomb the next.

These 3 batters have the Statcast profile of power hitters — elite barrel rate, exit velocity, and expected slugging — but their actual HR totals haven't caught up. With favorable matchups on today's slate, they're the top regression candidates.

## 1. Juan Soto (NYM)

*24.1% barrel · 103.6 mph EV · 0.672 xSLG · 31.5% FB · 3 HR · 0.667 platoon SLG · vs Tomoyuki Sugano (RHP) · 1.44 opp HR/9 (exploitable)*

Juan Soto's 24.1% barrel rate sits in MLB's top tier — the kind of contact profile that turns into homers in bunches. He's hitting 32% fly balls — not ideal for HR volume, but with this exit velo, even line drives leave the yard. Just 3 HR through the season's start, but the data points to a meaningful uptick.

## 2. Matt Olson (ATL)

*18.8% barrel · 104.6 mph EV · 0.595 xSLG · 35.6% FB · 11 HR · 0.696 platoon SLG · vs Logan Gilbert (RHP) · 0.95 opp HR/9*

Matt Olson barrels everything — 18.8% on the season. The HR total hasn't caught the contact quality yet. The handedness matchup tilts his way: .696 platoon SLG. He's on 11 HR, but the underlying contact suggests his pace should be higher.

## 3. Aaron Judge (NYY)

*26.3% barrel · 105.5 mph EV · 0.658 xSLG · 30.3% FB · 12 HR · 0.598 platoon SLG · vs Shane Baz (RHP) · 0.79 opp HR/9*

Few hitters are squaring the ball up like Aaron Judge. A 26.3% barrel rate is rare air. Platoon is in his favor too — he's slugging .598 against this side. He's on 12 HR, but the underlying contact suggests his pace should be higher.

## How We Find "Due" Hitters

Our dinger model combines 12 Statcast and matchup factors. Full details on the [Due for a Homer dashboard](/mlb/due-for-hr).

The key stats that predict HR regression:
- **Barrel %** — the best single predictor of home runs. Barrels are batted balls with the optimal combination of exit velocity and launch angle.
- **Exit Velocity** — how hard they hit the ball. 95+ mph is elite.
- **xSLG** — expected slugging based on batted ball quality, independent of luck.
- **Fly Ball %** — ground balls can't be home runs. Higher FB% = more HR opportunities.

When a hitter has elite numbers in all four and fewer HRs than expected, regression (in the positive direction) is likely.

## Research These Players

- [Hitter vs Pitcher](/mlb/hitter-vs-pitcher) — career H2H stats for every batter vs today's opposing pitcher
- [Hitter vs Pitch Mix](/mlb/hitting-stats) — per-pitch breakdown with barrel rate, EV, and ISO by pitch type
- [Best Bats](/mlb/best-bats) — 10-factor composite scoring model for today's top prop picks
- [Weather](/mlb/weather) — wind and temperature conditions at every ballpark

## Related Guides

- [Finding Undervalued HR Hitters](/blog/finding-undervalued-home-run-hitters)
- [Hitter vs Pitcher Matchup Guide](/blog/hitter-vs-pitcher-matchup-guide)
- [MLB Stats Explained](/blog/mlb-stats-explained)


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*Data powered by HeatCheck HQ — sports analytics platform. Free tools at https://heatcheckhq.io*