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Niddhoeggr understands what i'm trying to say.
In case of confusion, the main point is that data mining can be done to identify patterns in the tactics of managers on a larger level such as cultural. It's valuable for competitions where we don't have much familiarity with our opponents, so higher levels that see the same teams every season this doesn't benefit. The pattern is unlikely find something as rigid as 100% of the time a manager from _______ play defense + counters. Patterns won't be that obvious, but they won't find completely random results either. It might find something like 2/3rds of the time a manager from __________ will start the 1st leg of an association duel with defense + counters. Keep in mind that being associations, our opponent hasn't had the opportunity to study our tactics, so no individual pattern can be recognized, increasing the odds they just go to their favorite system for the 1st leg. So if we can identify patterns like this, it provides a basis for how to start an association and if we guess correctly, we can jump out to a multiple goal advantage and by the time the opponent changes their system, the damage is already done.
If i'm wrong, i'll happily eat my words.
If i'm correct, their are probably other associations that are already looking for patterns like these, especially in the platinum league.
Last edited by pcmacdaniel; 11-20-2017 at 02:32 AM.
Level 40 Manager
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