---
license: cc-by-nc-sa-4.0
pretty_name: OpenCommand
language:
  - en
tags:
  - baseball
  - sports-analytics
  - computer-vision
  - statcast
size_categories:
  - 1M<n<10M
configs:
  - config_name: command_scores_2025
    data_files: 2025/command_scores.csv
  - config_name: command_scores_2026
    data_files: 2026/command_scores.csv
  - config_name: targets_2025
    data_files: 2025/targets.csv.gz
  - config_name: targets_2026
    data_files: 2026/targets.csv.gz
---

# OpenCommand

Catcher targets and pitcher command for MLB, inferred from broadcast video.

OpenCommand scores **command** using the pitch location's distance from target.

This dataset contains the 2025/2026 computer vision object detections, every intermediate the pipeline writes, and the resulting **command scores**. The pipeline itself and the full method write-up live at [github.com/tomdoyo/open-command](https://github.com/tomdoyo/open-command).

## Download

```
hf download tomdoyo/open-command --repo-type dataset --local-dir data
```

That puts the tree where the pipeline expects it, so any stage re-runs from the code repo:

```
python src/solve_glove_locations.py 2026
```

One file instead of the whole tree:

```
hf download tomdoyo/open-command 2026/command_scores.csv --repo-type dataset
```

## Data

Each season lives under `<year>/`.

**Keys:** `(game_pk, play_id)` identify a pitch.

Raw detections (in `<year>/raw/`) are produced using YOLO11 glove/ball/strikezone detector models, with postprocessing based on detection confidence.

| File (per season) | One row per | Contents |
|---|---|---|
| `pbp_info.csv.gz` | pitch | Statcast 9-parameter trajectory, `sz_top`/`sz_bot`, plate location, pitcher, pitch type, and the game_date/type/venue |
| `raw/gloveball_tracks/<game_pk>.csv.gz` | frame | glove + ball detections (pixels on screen) |
| `raw/strikezone_tracking.csv.gz` | clip | broadcast strikezone detections (pixels on screen) |
| `camera_poses.csv.gz` | clip | camera pose (+ vote diagnostics & reprojection accuracies) |
| `glove_locations/<game_pk>.csv.gz` | detection | solved glove location (real-world) |
| `targets.csv.gz` | clip | naive/inferred targets |
| `command_scores.csv` | pitcher, pitch type | n, naive and inferred median miss |

`fg_pitching_2025.csv.gz` and `fg_pitching_2026.csv.gz` sit at the root, carrying the FanGraphs season lines command is validated against.

## License & citation

Everything here is released under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/): use it, build on it, publish with it, with **attribution** (cite OpenCommand) and **not commercially**.

Data derived from MLB broadcast video and Statcast public feeds. MLB and Statcast are trademarks of MLB Advanced Media, L.P.; this project is not affiliated with MLB.

```bibtex
@dataset{kim_opencommand,
  author  = {Kim, Tom},
  title   = {OpenCommand: open catcher-target and pitcher-command data for MLB},
  year    = {2026},
  url     = {https://open-command.com},
  note    = {https://github.com/tomdoyo/open-command}
}
```