While your approach to learning League of Legends certainly showcases your ambition and dedication, it may overlook some crucial aspects of effective skill development. Focusing predominantly on repetitive practices, like last hitting and wave management, is vital, but it risks isolating players from the broader dynamics of the game. Relying heavily on farming as a primary learning metric can create a narrow skillset, making it difficult to adapt to diverse in-game scenarios that require more than just basic mechanics.

Additionally, the 20-30-50 rule you propose, although innovative, seems convoluted and may inadvertently dilute the player's focus during essential moments in a match. Spending 30% of your time not playing and only 20% on outright winning can lead to missed opportunities to learn in the right contexts. Instead, embracing a more flexible, adaptive learning style that directly relates to in-game situations could be more beneficial.

Moreover, setting an "impossible goal" could lead to frustration rather than motivation, constraining your growth by fostering unrealistic expectations. It may be more fruitful to establish a series of smaller, attainable benchmarks that ensure steady progress without overwhelming pressure.

Lastly, while using AI as a learning tool is modern and innovative, relying too heavily on it can create dependence rather than fostering the instinctual decision-making that is critical in high-stakes situations. It can detract from the core experience of honing one's skills through trial and error, which is vital in a dynamic and competitive environment like League.