North Shore Navigators Data Analytics

Super pumped to announce that we’ve completed Stuff+, Location+, and Pitching+ models for the NECBL, as well as a dashboard to house all! We used a random forest methodology and a 70/30 split for all 3 models. Link: 2y34z6-ben-gillis.shinyapps.io/NECBLPitchingP…

I’ve added an API to my tunneling quantification model, which has been trained again with a little bit of 2026 season data; I now have it so that it automatically updates the model and restores it every Monday at ЗАМ with that week's data Link: 2y34z6-ben-gillis.shinyapps.io/tunneling-mode…

@TrumanPauley23 | @whitesox | @NSNavigators | @HarvardBaseball |

In light of his trade to the Chicago White Sox, we’ll revisit Truman Pauley’s data from the 2024 NECBL season with the Navigators, where the Harvard righty was named an NECBL All-Star, and dominated with a 2.36 FIP and a 47% K rate

I am super excited to share a major component of my senior thesis, which focuses on quantifying the impact of tunneling on run prevention. I built a KDE + SHAP framework to measure release/approach angles, break divergence, and the impact on xRV Link: 2y34z6-ben-gillis.shinyapps.io/tunneling-mode…

@NSNavigators | @TheNECBL | @MLB | @MLBDraft |

Super pumped to announce that we’ve completed Stuff+, Location+, and Pitching+ models for the NECBL, as well as a dashboard to house all! We used a random forest methodology and a 70/30 split for all 3 models. Link: 2y34z6-ben-gillis.shinyapps.io/NECBLPitchingP…

Houses tabs for overall xwOBA v wOBA comparison plots, under performers (guys getting unlucky), overperformers (guys overperforming their expected batted ball data), a player comparison feature, and, a team browser option!

We have created an xwOBA/xwOBACON model for the NECBL utilizing batted ball data from 2021-2025 seasons (approx 52k batted balls) utilizing an xgboost algorithm, now with a fully operational dashboard! Can be found at the link: 2y34z6-ben-gillis.shinyapps.io/XwOBADashboard/

@AlecWelshans | @AidanSengenber1 | @AukaiKea | @alexmarot0 | @Davis_B_18 | @LaSalle_BSB | @SHUBaseball | @VandyBoys | @CSU_BucBaseball | @PennBaseball | @pennbasestats | @TheNECBL | @MLB | @MLBDraft |

@NSNavigators xwOBACON leaders for 2025: 1. Alec Welshans: .449 2. Aidan Sengenberger: .403 3. Aukai Kea: .396 4. Alex Marot: .393 5. Davis Baker: .369

@Davis_B_18 | @AukaiKea | @AlecWelshans | @alexmarot0 | @jack_gold14 | @PennBaseball | @pennbasestats | @VandyBoys | @LaSalle_BSB | @CSU_BucBaseball | @SagehenBaseball | @TheNECBL | @MLB | @mlbdraft |

@NSNavigators xwOBA leaders for 2025: 1. Davis Baker: .360 2. Aukai Kea: .351 3. Alec Welshans: .348 4. Alex Marot: .347 5. Jack Gold: .329

@_gusmagill | @NSNavigators | @CornellBaseball | @TheNECBL | @MLB | @MLBDraft |

Metrics from 7/30 vs. Danbury for RHP Gus Magill:

@Davis_B_18 | @alexmarot0 | @AlecWelshans | @simmiwhitehill1 | @PennBaseball | @pennbasestats | @CSU_BucBaseball | @LaSalle_BSB | @MUHawksBaseball | @TheNECBL | @MLB | @MLBDraft |

The @NSNavigators hardest hit balls of the day for 7/30 vs. Danbury: 1. Davis Baker: 100.91 MPH (1B) 2. Alex Marot: 97.97 MPH (L3) 3. Alec Welshans: 97.92 MPH (HR)-380.4 FT 4. Alex Marot: 96.99 MPH (5-3) 5. Simmi Whitehill: 96.41 MPH (3B) 6. Davis Baker: 95.31 MPH (L6)

@AlecWelshans | @TheNECBL | @MLB | @MLBDraft |

Alec Welshans (@LaSalle_BSB) unloads on a ball, sending it over the fence in left for a solo homer to put the @NSNavigators on the board first! EV: 98 MPH Distance: 380.4 FT

@marc88w | @Davis_B_18 | @simmiwhitehill1 | @AlecWelshans | @alexmarot0 | @UMassBaseball | @PennBaseball | @pennbasestats | @MUHawksBaseball | @LaSalle_BSB | @CSU_BucBaseball | @TheNECBL | @MLB | @MLBDraft |

The @NSNavigators hardest hit balls of the day for 7/29 vs. North Adams: 1. Marc Willi: 101.10 MPH (1B) 2. Davis Baker: 100.72 MPH-381.2 FT (HR) 3. Simmi Whitehill: 99.04 MPH (3B) 4. Alec Welshans: 98.76 MPH (2B) 5. Alex Marot: 96.51 MPH (1B) 6. Alec Welshans: 92.63 MPH (6-4)