# Potential Penetrative Pass (P3)

arXiv: https://arxiv.org/abs/2302.10760 · HTML: https://mlsanity.com/paper/2302.10760/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 6 references that are in the map.
- First posted on arXiv 26 Jan 2023.

## Builds on (most cited first, 1 of 1)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)

## Built on by (most cited first, 1 of 1)

- [Space evaluation at the starting point of soccer transitions](https://mlsanity.com/paper/2505.14711/) (2025)

## Abstract (arXiv)

To score goals in football, a team needs to move forward on the pitch and there are various ways to do so. Depending on the game plan & philosophy; some teams prefer to play long balls from either wings or defense. Others, prefer to penetrate in depth with passes and outplay the opponent players. To objectively & in an automated way evaluate how teams play penetrative passes compared to the number of times they had the potential to do so, the "Potential Penetrative Pass (P3)" concept is presented here.