Brother with a bounce in his steps 💪 David Dudzinski

Raise your hand✋ if you're excited to have Robbie Dudzinski back!

I am working towards a career in MLB analytics and operations. In my latest project, I created hitting report cards tailored to a specific batter and pitcher combination. Read about it here: medium.com/@robbiedudz34/… Which matchup do you want to see?

In the offseason, a bullpen session may be only 20-30 pitches. Lots of guys track these throws and focus on the data. What about the hundreds, if not thousands of throws made during the week, every week of the offseason? This is my solution: medium.com/@robbiedudz34/…

Radar gun program is active this morning for live ABs with Bill Miller, CSCS

Swing Hard, Just in Case You Hit it: Check out my latest post on swing speed in MLB, as I use mathematical modeling to answer questions for training and having success in baseball. Check out training ideas with Bill Miller, CSCS for more! medium.com/@robbiedudz34/…

Trackman Pitching Data--Are you Actually Using It? I wrote a Python script that takes the raw spreadsheet data from a Trackman pitching session and converted it to a one-page pdf. Read about it below! Message me for details! medium.com/@robbiedudz34/… github.com/Robbiedudz34/T…

What’s the real value of massive MLB contracts? Are teams overpaying—or maximizing return? I’m breaking it down in a 4-part series. Here is part 1: Data collection—web scraping contract values, WAR, and player stats using Python. medium.com/@robbiedudz34/…

Trackman Hitting Data--Why Aren't You Using It? Check out my Trackman Report to benefit pitchers and hitters from real game data. Combine this with my pitch metric report for best use of raw game data. Read about it here: medium.com/@robbiedudz34/…

I created a Jupyter Notebook to catalog a Fantasy Football Season🏈 I used the espn_api.football library in Python to import my fantasy football league data. All it took was some DataFrame design and football logic to create these functions. Onto Week 2!

Been quite the pitching week! Check out another complete game shutout this week from Tanner Bibee with the Cleveland Guardians - Game Score of 93! Calculated and developed in Python. MLB ESPN FanGraphs Baseball

Week 2 of Fantasy Football Analysis in a Jupyter Notebook Higher scoring week = one team below 100 points from the remaining teams of the survivor pool. The Japanese Aura Farmers were the low scoring team in week 2. Be on the lookout for week 3!

Breaking Down This Week’s Top MLB Pitchers (Sept 11–17, 2025) 1. Tanner Bibee – 9/12 – 93 2. Brandon Pfaadt – 9/17 – 91 3. Kevin Gausman – 9/11 – 91 4. Chris Sale – 9/16 – 85 5. Blake Snell – 9/17 – 83 Read the full breakdown here: medium.com/@robbiedudz34/…

Week 3 of Fantasy Football in a Jupyter Notebook: Did any Fantasy Football sites predict Tre Tucker, Hunter Henry, Mark Andrews, or David Montgomery to be the top performers this week? Interesting to see what predictions flopped week to week, Jupyter tells a story all season.

Top 5 Pitching Performances from (9/18 - 9/24) made from Statcast Data: 1. Hunter Greene (9/18) - CG 1H Shutout 2. Emmet Sheehan (9/21) - 7IP, 10K, GS 85 3. Max Fried (9/18) - 7IP, 13K, 26 Whiffs 4. Luis Castillo (9/24) - Clinches Playoffs 5. Garrett Crochet (9/24) - 8IP Shutout

Week 4 of Fantasy Football in a Jupyter Notebook: Yikes... JGRIV1 put up 73 for a season low total, gets knocked out of the survivor pool, and loses Malik Nabers. What a week. At least his kicker supplied a league high 19 points, which is more than 1/4 of his total.

Playoff baseball delivered: Tarik Skubal struck out 14 in 7.2 IP, while Garrett Crochet retired 17 straight after giving up a solo HR. Two lefties, two Game 1 road wins, both touching upper 90s with five-pitch mixes. Who had the more impressive outing? Red Sox Detroit Tigers MLB

Can’t tell what I love more - my brother’s dunk or the translation from Japanese