Check expected points for a game situation
Get the expected points context for the situation you are analyzing.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Predict Expected Points (EP)
Get expected points for field positions by down and distance.
Why this helps
Looking up expected outcomes for a specific down and field position breaks the flow of play analysis.
- Retrieve expected points by down and distance.
- Explore outcomes across field positions.
- Use a supplied play or research page as context through Airtop.
Setup
Build it in a few focused steps.
- 1Connect Airtop and College football data once in Notis.
- 2Create an automation in plain language or in Automations, New Automation.
- 3Tell Notis to identify the down, distance, and field position from your supplied context or request, then retrieve expected points for that situation.
- 4Choose a webhook trigger and where run reports should go.
- 5Test with one real situation and confirm the inputs were identified correctly.
Questions about this workflow
What inputs does the action use?
It returns expected points by down, distance, and field position. The action description calls out selecting a down and distance.
Can it analyze a whole game?
This action is for situation-level expected points. Use a game-level action for broader game analysis.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Airtop to College football data. A trigger fires from one place; an action lands in another.
Airtop triggers
College football data actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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When this happens · Trigger
Do this · Action
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