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---
license: mit
task_categories:
- other
language:
- en
tags:
- baseball
- mlb
- statcast
- sports-analytics
size_categories:
- 100K<n<1M
dataset_info:
features:
- name: pitch_type
dtype: string
- name: game_date
dtype: string
- name: release_speed
dtype: float64
- name: release_pos_x
dtype: float64
- name: release_pos_z
dtype: float64
- name: player_name
dtype: string
- name: batter
dtype: int64
- name: pitcher
dtype: int64
- name: events
dtype: string
- name: description
dtype: string
- name: spin_dir
dtype: int64
- name: spin_rate_deprecated
dtype: int64
- name: break_angle_deprecated
dtype: int64
- name: break_length_deprecated
dtype: int64
- name: zone
dtype: int64
- name: des
dtype: string
- name: game_type
dtype: string
- name: stand
dtype: string
- name: p_throws
dtype: string
- name: home_team
dtype: string
- name: away_team
dtype: string
- name: type
dtype: string
- name: hit_location
dtype: int64
- name: bb_type
dtype: string
- name: balls
dtype: int64
- name: strikes
dtype: int64
- name: game_year
dtype: int64
- name: pfx_x
dtype: float64
- name: pfx_z
dtype: float64
- name: plate_x
dtype: float64
- name: plate_z
dtype: float64
- name: on_3b
dtype: int64
- name: on_2b
dtype: int64
- name: on_1b
dtype: int64
- name: outs_when_up
dtype: int64
- name: inning
dtype: int64
- name: inning_topbot
dtype: string
- name: hc_x
dtype: float64
- name: hc_y
dtype: float64
- name: tfs_deprecated
dtype: int64
- name: tfs_zulu_deprecated
dtype: int64
- name: umpire
dtype: int64
- name: sv_id
dtype: int64
- name: vx0
dtype: float64
- name: vy0
dtype: float64
- name: vz0
dtype: float64
- name: ax
dtype: float64
- name: ay
dtype: float64
- name: az
dtype: float64
- name: sz_top
dtype: float64
- name: sz_bot
dtype: float64
- name: hit_distance_sc
dtype: int64
- name: launch_speed
dtype: float64
- name: launch_angle
dtype: int64
- name: effective_speed
dtype: float64
- name: release_spin_rate
dtype: int64
- name: release_extension
dtype: float64
- name: game_pk
dtype: int64
- name: fielder_2
dtype: int64
- name: fielder_3
dtype: int64
- name: fielder_4
dtype: int64
- name: fielder_5
dtype: int64
- name: fielder_6
dtype: int64
- name: fielder_7
dtype: int64
- name: fielder_8
dtype: int64
- name: fielder_9
dtype: int64
- name: release_pos_y
dtype: float64
- name: estimated_ba_using_speedangle
dtype: float64
- name: estimated_woba_using_speedangle
dtype: float64
- name: woba_value
dtype: float64
- name: woba_denom
dtype: int64
- name: babip_value
dtype: int64
- name: iso_value
dtype: int64
- name: launch_speed_angle
dtype: int64
- name: at_bat_number
dtype: int64
- name: pitch_number
dtype: int64
- name: pitch_name
dtype: string
- name: home_score
dtype: int64
- name: away_score
dtype: int64
- name: bat_score
dtype: int64
- name: fld_score
dtype: int64
- name: post_away_score
dtype: int64
- name: post_home_score
dtype: int64
- name: post_bat_score
dtype: int64
- name: post_fld_score
dtype: int64
- name: if_fielding_alignment
dtype: string
- name: of_fielding_alignment
dtype: string
- name: spin_axis
dtype: int64
- name: delta_home_win_exp
dtype: float64
- name: delta_run_exp
dtype: float64
- name: bat_speed
dtype: float64
- name: swing_length
dtype: float64
- name: estimated_slg_using_speedangle
dtype: float64
- name: delta_pitcher_run_exp
dtype: float64
- name: hyper_speed
dtype: float64
- name: home_score_diff
dtype: int64
- name: bat_score_diff
dtype: int64
- name: home_win_exp
dtype: float64
- name: bat_win_exp
dtype: float64
- name: age_pit_legacy
dtype: int64
- name: age_bat_legacy
dtype: int64
- name: age_pit
dtype: int64
- name: age_bat
dtype: int64
- name: n_thruorder_pitcher
dtype: int64
- name: n_priorpa_thisgame_player_at_bat
dtype: int64
- name: pitcher_days_since_prev_game
dtype: int64
- name: batter_days_since_prev_game
dtype: int64
- name: pitcher_days_until_next_game
dtype: int64
- name: batter_days_until_next_game
dtype: int64
- name: api_break_z_with_gravity
dtype: float64
- name: api_break_x_arm
dtype: float64
- name: api_break_x_batter_in
dtype: float64
- name: arm_angle
dtype: float64
- name: attack_angle
dtype: float64
- name: attack_direction
dtype: float64
- name: swing_path_tilt
dtype: float64
- name: intercept_ball_minus_batter_pos_x_inches
dtype: float64
- name: intercept_ball_minus_batter_pos_y_inches
dtype: float64
splits:
- name: train
num_bytes: 1278467871
num_examples: 1248824
download_size: 234517903
dataset_size: 1278467871
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Daily MLB Statcast Data
This dataset contains MLB Statcast data that is automatically updated daily.
## Dataset Description
- **Source**: MLB Statcast via pybaseball
- **Update Frequency**: Daily
- **Last Updated**: 2025-07-24 21:31:32
- **Repository**: jab13/daily-statcast-data
## Data Fields
The dataset includes comprehensive pitch-by-pitch data with over 80 fields including:
### Basic Information
- `game_date`, `game_pk`, `home_team`, `away_team`
- `batter`, `pitcher`, `fielder_2` through `fielder_9`
- `balls`, `strikes`, `outs_when_up`
### Pitch Data
- `pitch_type`, `pitch_name`
- `release_speed`, `effective_speed`
- `spin_rate`, `spin_axis`
- `release_pos_x`, `release_pos_y`, `release_pos_z`
### Location & Zone
- `plate_x`, `plate_z`
- `sz_top`, `sz_bot`
- `zone`
### Outcome Data
- `events`, `description`, `type`
- `hit_location`, `bb_type`
- `launch_speed`, `launch_angle`
- `hit_distance_sc`
### Advanced Metrics
- `woba_value`, `woba_denom`
- `babip_value`, `iso_value`
- `estimated_ba_using_speedangle`
- `estimated_woba_using_speedangle`
## Usage
```python
from datasets import load_dataset
import pandas as pd
# Load the dataset
dataset = load_dataset("jab13/daily-statcast-data")
df = dataset['train'].to_pandas()
# Basic analysis
print(f"Total pitches: {len(df):,}")
print(f"Date range: {df['game_date'].min()} to {df['game_date'].max()}")
# Pitch type distribution
pitch_types = df['pitch_type'].value_counts()
print("Most common pitch types:")
print(pitch_types.head())
# Exit velocity analysis
hits = df[df['launch_speed'].notna() & (df['launch_speed'] > 0)]
print(f"Average exit velocity: {hits['launch_speed'].mean():.1f} mph")
```
## Data Pipeline
This dataset is maintained by an automated pipeline that:
1. Fetches daily Statcast data using pybaseball
2. Cleans and standardizes the data format
3. Merges with existing data and removes duplicates
4. Updates the Hugging Face dataset with new information
## Data Quality
- **Deduplication**: Removes duplicate pitches based on game_pk, at_bat_number, and pitch_number
- **Standardization**: Consistent data types and null value handling
- **Validation**: Ensures data integrity before upload
## Updates
The dataset is automatically updated daily at 6 AM UTC to include the previous day's games. Updates typically include:
- All pitch-by-pitch data from completed games
- Corrected data for any previously uploaded games
- Advanced metrics and calculated fields
## License
MIT License - Data is publicly available from MLB Advanced Media.
## Attribution
Data sourced from MLB Advanced Media via the pybaseball Python package.
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