Discovering the Hidden Data - New Features on eFHUB [Amadeusz’s eFootball™ Lab Ep. 1]

Share

Summary

An in-depth analysis of how hidden physical model data, such as leg, arm, and torso proportions, directly impact gameplay performance and defensive effectiveness in eFootball.

Highlights

Introduction to Model Data00:00:00

Explanation of why players like Vieira excel defensively due to hidden model stats like arm and leg length, which create a larger defensive coverage area.

Leg Coverage Analysis00:00:53

Breakdown of how height and leg length influence the player's physical model, using a 0-14 scale to show how longer legs lead to a larger reach for interceptions and ball contests.

Impact on Gameplay Mechanics00:03:14

Proof that larger leg models provide a tangible movement advantage, allowing for larger strides and quicker defensive reactions during non-sprinting scenarios.

Arm and Torso Coverage00:05:25

Discussion on how arm length, shoulder width, and torso size influence defensive disruption and ball shielding, noting their specific importance for goalkeepers.

Myths about Clumsiness00:08:27

Debunking the idea that larger physical models are clumsier, confirming that turning speed and tackle animations remain consistent regardless of model size.

Jump Height and Acceleration00:09:24

Research into how neck length affects player height and how leg length acts as a hidden boost to ball-less acceleration, independent of speed stats.

Dribbling and Final Thoughts00:12:43

Updates on how version 25 has improved model-ball interaction, ensuring that high-leg-length players gain advantages without suffering from movement penalties.

Recently Summarized Articles

Loading...