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What are the optimal sensitivity curves and deadzone settings used by professional players in the current Apex Legends ranked split?

ChatGPTgpt-62 queries11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What are the optimal sensitivity curves and deadzone settings used by professional players in the current Apex Legends ranked split?
2 real searches · 1 real-search pass
Apex Legends current ranked split November 2026 pro player controller settings response curve deadzone sensitivityGoogle ↗
OBSERVEDConsequence
Apex Legends pro player settings 2026 ALC response curve deadzone ranked splitGoogle ↗
OBSERVEDReason

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (2)
Short factOther / navigationalComparisonConsequence50%Reason50%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
Apex Legends current ranked split November 2026 pro player controller settings response curve deadzone sensitivity Google ↗
Apex Legends pro player settings 2026 ALC response curve deadzone ranked split Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Apex Legends current ranked split November 2026 pro player controller settings response curve deadzone sensitivity
OBSERVED
Google ↗
AI Mode ↗
—Consequence——1x
of 1
Apex Legends pro player settings 2026 ALC response curve deadzone ranked split
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1