From 1bdd5c8e360a7c34aca3d98662b514dea5c181bb Mon Sep 17 00:00:00 2001 From: Alex Reiniger Date: Wed, 22 Jul 2026 17:43:39 +0200 Subject: [PATCH] Add Understanding Aggro Management in Tower Rush Scenarios --- ...ng-Aggro-Management-in-Tower-Rush-Scenarios.md | 15 +++++++++++++++ 1 file changed, 15 insertions(+) create mode 100644 Understanding-Aggro-Management-in-Tower-Rush-Scenarios.md diff --git a/Understanding-Aggro-Management-in-Tower-Rush-Scenarios.md b/Understanding-Aggro-Management-in-Tower-Rush-Scenarios.md new file mode 100644 index 0000000..645f12e --- /dev/null +++ b/Understanding-Aggro-Management-in-Tower-Rush-Scenarios.md @@ -0,0 +1,15 @@ +
However, beneath the surface of this apparent chaos lies a rigid, highly predictable set of rules governing Artificial Intelligence.
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This article will dissect the mathematics of sightlines, retargeting, and unit hitboxes to help you manipulate the AI flawlessly.
+Vision and Targeting +
If multiple enemies are within that radius, the AI will almost always lock onto the absolute closest target mathematically.
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Understanding exactly how many tiles a unit can 'see' allows you to place distractions at the absolute maximum possible distance.
+Use this to pull them to the center.Melee units have very short sight ranges.Always account for the unit's movement speed. +The Geometry of Defense +
One of the most complex aspects of aggro management involves understanding the physical size, or 'hitbox', of different units.
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The physical mass of the tank will actually push the Miner backward, forcing him to lose range on the tower and retarget onto the tank.
+Targeting MechanicPlayer ActionClosest Target LogicPlace a cheap skeleton exactly one tile closer to the enemy than your fragile ranged attackerVision RefreshThe tower will rescan and target the swarm +Practice Makes Perfect +
You must spend hours in friendly battles practicing these specific interactions until they become pure muscle memory.
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Control the aggro, control the arena.
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