Allen-Ho-0302's repositories
Contract-Year-Phenomenon
Is it true that players tend to perform better in their contract years? Furthermore, can teams or fantasy managers really take advantage of it?
Factors-Influencing-Tommy-John-Surgery-Onset
Correlation between pitchers' weight, height, pitch type, pitch velocity, horizontal, vertical movement and their onset of Tommy John Surgery
2020-MLB-Postseason-Participants-Prediction
2020 MLB season has already been hard to predict given it's short nature. This research aims to build a perfect model by deep learning, xgboost, classification tree and logistic regression.
4-WAR-Jump
The thing of beauty in baseball is that each year we have a chance to see players making a leap. Like Jose Bautista, Jose Ramirez, Ben Zobrist, etc. This research aims to find out of these breakout players, the improvement of what stats are more responsible for their WAR and wRC+ gain.
Baseball-Data-with-R
Self practice with the book: Analyzing baseball data with R
Building-Individually-Targeted-Improvement-Plan-for-Hitters
Group players according to their swing mechanism using Blast data from practice. Then build individually targeted improvement plans for all groups of hitters by looking at their Trackman data from games. I also built models to come up with my own xwOBA to further evaluate their performance.
Called-Strike-Probability
Build a model to predict the probability of a called strike of a given pitch with various features.
Curveball-Swing-and-Miss
Create a model to evaluate pitcher’s ability to generate swing and miss(whiff) with curveballs.
First-Time-Eligible-Arbitration-Salary-Prediction
Modelling the relationship between a player’s first-time eligible arbitration salary and multiple variables.
Pitch-Type-Prediction
In this research I worked with a subset of pitch-level data. The goal was to develop a framework capable of predicting pitch types. The pitch types include Fastball , Curveball, Slider and Changeup.
Comparison-of-Two-Different-Batted-Ball-Measurement-Systems
This research aims to find out which system can better evaluate hitter performance based on measurements of batted ball metrics and make predictions for the upcoming season.
Consistency-in-Baseball
This article will focus solely on how consistent a hitter produces his results and boiling that down to a simple number. We will call this game-by-game, or GBG for short. The goal of this exercise is to see if a hitter’s consistency impacts both his production and the team’s chances of winning.
R-Machine-Learning-Template
Just some random reusable R machine learning templates