Joseph Bryan

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 14.

Joseph Bryan's "Coach I Was Open" model identifies weekly breakout candidates by projecting target data, separation data, target depth and more.

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 13.

Joseph Bryan's "Coach I Was Open" model identifies weekly breakout candidates by projecting target data, separation data, target depth and more.

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 12.

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 11.

Joseph Bryan's "Coach, I Was Open" model identifies weekly breakout candidates by projecting target data, separation data, target depth and more.

Joseph Bryan's "Coach I Was Open" model identifies weekly breakout candidates by projecting target data, separation data, target depth and more.

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 10.

Joseph Bryan's "Coach I Was Open" model identifies weekly breakout candidates by projecting target data, separation data, target depth and more.

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 9.

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 8.

In the latest installment of this series, Joseph Bryan tweaks the "Coach, I Was Open" foundation and looks at predicted target data from Week 7.

Utilizing the "Coach, I was open" model and WOPR framework to look into the players who could break out in fantasy and DFS in Week 7.

The newest installment of "Coach, I Was Open" explores real-world plays from Week 6 to determine why players weren't targeted and whether they should have been.

This week, we're focused on refining our model using insights from personal observations and expert feedback.

Up to five players may run a route on any given play, but only one will receive the target. By examining key data points and characteristics of that play, we can predict the probability of each player being targeted.