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Nick Bland
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Player Development Miami Marlins, Dominican Summer League · 2025

DSL Returning Hitters Analysis

The hitting department could see development happening. Did the year-over-year numbers back up what the coaches were seeing on the field?

Marlins DSL Returning Hitters: Org Improvement Rank, 2024 to 2025 Among 25 qualifying MLB organizations: number 1 in 95-plus exit velocity rate, number 2 in chase rate, number 4 in in-zone contact, number 13 in strikeout rate (down 3.2), and number 14 in walk rate (down 0.2). Marlins DSL Returning Hitters: Org Improvement Rank, 2024 → 2025 Vs. 25 qualifying MLB organizations · 252 returning DSL hitters 95+ EV% Chase% IZContact% K% BB% #1 #2 #4 #13 (−3.2) #14 (−0.2) Improvement rank among 25 qualifying MLB organizations Hitters with 50+ PA in both 2024 and 2025 · tracking-metric values withheld Marlins DSL Returning Hitters: Org Improvement Rank, 2024 to 2025 Among 25 qualifying MLB organizations: number 1 in 95-plus exit velocity rate, number 2 in chase rate, number 4 in in-zone contact, number 13 in strikeout rate (down 3.2), and number 14 in walk rate (down 0.2). Marlins DSL Returning Hitters: Org Improvement Rank, 2024 → 2025 Vs. 25 qualifying MLB organizations 252 returning DSL hitters 95+ EV% Chase% IZContact% K% BB% #1 #2 #4 #13 (−3.2) #14 (−0.2) Improvement rank among 25 qualifying MLB orgs Hitters with 50+ PA in both 2024 and 2025 Tracking-metric values withheld

The Headline: From 2024 to 2025, Marlins DSL returning hitters posted the #1 hard-hit rate improvement and #2 chase rate improvement among all 25 qualifying MLB organizations, and all 14 qualifying hitters improved in at least one development pillar.

Project Overview

Purpose

  • Evaluate year-over-year player development effectiveness in the Miami Marlins DR Academy by analyzing key pillar improvements of returning hitters from 2024 to 2025

Objectives

  • Measure individual player improvements across key pillar metrics
  • Rank DSL Miami Marlins hitters against league-wide DSL returning-hitter performance
  • Identify development successes and areas for continued focus

Parameters and Constraints

Player Criteria

DSL returning hitters with 50+ PA in both 2024 and 2025 (14 DSL Miami Marlins players qualified)

Comparison Group

252 total DSL returning hitters · organizations with 5+ qualifying players

Time Period

2024 and 2025 DSL regular seasons

Key Methodology

  • Improvement rankings calculated as percentile rankings among all 252 DSL returning hitters
  • Year-over-year changes measured as percentage-point differences between seasons
  • League context provided for all individual player improvements

A note on the numbers: chase, contact, and exit-velocity metrics are derived from league tracking data, so they’re presented here as rankings and percentiles only, with raw values withheld. Walk and strikeout rates are public record and shown in full.

Organizational Results

MetricOrg Improvement Rank (of 25)
Hard-Hit Rate (95+ mph EV)#1
Chase Rate#2
In-Zone Contact#4
Strikeout Rate#13
Walk Rate#14

The organization’s two biggest gains, contact quality and swing decisions, are exactly where it separated from the league.

Individual Results

  • All 14 hitters improved in at least one pillar, averaging improvements in 5+ metrics each
  • Two 100th-percentile improvements among all 252 DSL returners: Jose Castro posted the league’s largest in-zone contact gain, and Adrian Bello its largest chase-rate cut
  • Jesus Abreu and Adrian Bello each improved in seven categories
  • 5 of 14 hitters landed in the top 10% of league-wide improvement rankings

The public stat line shows what that development looked like:

HitterPublic StatChangeLeague Percentile
Adrian BelloK%−16.8 pts99th
Adrian BelloBB%+8.1 pts92nd
Almen TolentinoK%−13.7 pts95th
Jayden FeliciaBB%+10.5 pts98th

How a Team Uses This

The hitting department came in with a specific question. They could visually see the development happening, but did the year-over-year numbers actually back up what the coaches were seeing on the field? This analysis put numbers behind it, and the answer was yes: the organization’s two biggest gains were hard contact and chase discipline, two of the clearest signals of hitter development at this level.

The league-wide benchmark was just as important as the year-over-year change. Comparing every Marlins hitter against the full pool of 252 DSL returning hitters separated real development from league-wide trends, so a top-ranked improvement meant the program outpaced the other 24 organizations rather than riding a rising tide. The framework also flagged where to focus next (walk rate held steady rather than gaining), and I built it to be repeatable, so the same analysis could be run for any future season or extended to pitchers.