The 5 biggest risers of the last 30 days
The rolling 30-day Statcast window (September 24 through October 23, 2026) shows who is beating his own season-long level. The risers below are ranked by the gap between each player's hard-hit rate in the trailing window and his season-to-date mark, with a floor of 30 balls in play.
| Player | Team | Pos | Hard-Hit Rate, trailing window | Season mark | Rise | Balls in play |
|---|---|---|---|---|---|---|
| Freddie Freeman | Los Angeles Dodgers | 1B | 60.0% | 41.3% | 18.7 | 30 |
| Jo Adell | Cleveland Guardians | CF | 59.5% | 44.9% | 14.6 | 37 |
| Chandler Simpson | Tampa Bay Rays | LF | 26.7% | 13.6% | 13.1 | 30 |
| William Contreras | Milwaukee Brewers | C | 55.9% | 44.1% | 11.8 | 34 |
| Jonathan Aranda | Tampa Bay Rays | 1B | 52.6% | 46.0% | 6.6 | 38 |
What stands out
- Freddie Freeman (Los Angeles Dodgers) put 30 balls in play in the window; his hard-hit rate is 60.0%, up 18.7 from his 41.3% season mark.
- Jo Adell (Cleveland Guardians) put 37 balls in play in the window; his hard-hit rate is 59.5%, up 14.6 from his 44.9% season mark.
- Chandler Simpson (Tampa Bay Rays) put 30 balls in play in the window; his hard-hit rate is 26.7%, up 13.1 from his 13.6% season mark.
Data notes
The comparison sets a rolling 30-day rate against a season-to-date rate built on a larger sample, so the gap is a hot-streak signal, not a rest-of-season forecast. The window requires at least 30 balls in play, so small samples are filtered out, and hitters only: the rolling feed is built from balls in play, so pitchers are not ranked. See the rolling leaderboard for the last 30 days for the full ranking and the card rankings hub for rating-based views.
Try it: play a half-inning
See the Statcast engine in action. A loaner lineup against a CPU pitcher, three outs or three runs, about 30 seconds, no signup.