sbrown70

stance_data=(
    pl.read_csv(r".\stance_data_20250919_v2.csv") ## Download link: https://baseballsavant.mlb.com/visuals/batting-stance?gameType=Regular&groupBy=year%7Capi_game_date_month_text%7Cis_pre_strike_count_2&minSwings=1&minGroupSwings=1&seasonStart=2023&seasonEnd=2025&interceptView=false
    .rename({
        "id":"batter",
        "api_game_date_month_mm":"month",
        "bat_side":"stand",
        "name":"batter_name",
        "year":"game_year",
    })
    .select([

sbrown70

def add_release_metrics_aa(df):
    df = (
        df
        .assign(
            y0=50,
            yf=17/12,
            yR=lambda df: 60.5 - df['release_extension'],
            tR=lambda df: (-df['vy0'] - np.sqrt(df['vy0']**2 - 2 * df['ay'] * (df['y0'] - df['yR']))) / df['ay'],
            vxR=lambda df: df['vx0'] + df['ax'] * df['tR'],
            vyR=lambda df: df['vy0'] + df['ay'] * df['tR'],

sbrown70

def get_statcast(input_year,milb):
    sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&"
    
    import io
    import os
    from datetime import datetime
    from typing import List, Union
    
    import numpy as np
    import pandas as pd

sbrown70

def get_statcast(input_year,milb):
    sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&"
    
    import io
    import os
    from datetime import datetime
    from typing import List, Union
    
    import numpy as np
    import pandas as pd

sbrown70

def get_statcast(input_year,milb):
    sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&"
    
    import io
    import os
    from datetime import datetime
    from typing import List, Union
    
    import numpy as np
    import pandas as pd

sbrown70

def get_statcast(input_year,milb):
    sc_request_str = "/csv?all=true&hfPT=&hfAB=&hfBBT=&hfPR=&hfZ=&stadium=&hfBBL=&hfNewZones=&hfGT=R%7CPO%7CS%7C=&hfSea=&hfSit=&player_type=pitcher&hfOuts=&opponent=&pitcher_throws=&batter_stands=&hfSA=&game_date_gt={start_dt}&game_date_lt={end_dt}&team={team}&position=&hfRO=&home_road=&hfFlag=&metric_1=&hfInn=&min_pitches=0&min_results=0&group_by=name&sort_col=pitches&player_event_sort=h_launch_speed&sort_order=desc&min_abs=0&type=details&"
    
    import io
    import os
    from datetime import datetime
    from typing import List, Union
    
    import numpy as np
    import pandas as pd