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Get a focused play log when you need it

Send a request with game details and ask Notis to summarize the resulting play-by-play data.

Trigger

Webhook received

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

Action

Play-by-Play Data

Tool to fetch play-by-play data for college football games. Use when you need detailed play logs filtered by season, week, team, or game.

Why this helps

Finding a particular sequence or reviewing a game play by play takes time when you must repeat filters and scan long logs.

  • Retrieve detailed play logs with specified filters
  • Focus on a game, team, week, or season
  • Get a concise summary of the returned plays

Setup

Build it in a few focused steps.

  • 1Connect College football data once in the Notis portal.
  • 2Create an automation in Automations, New Automation, or tell Notis to create it from any channel.
  • 3In one instruction, ask Notis to retrieve and summarize play-by-play data using the season, week, team, or game details in each request.
  • 4Pick the Notis webhook trigger and choose where run reports should go.
  • 5Test with one real request that identifies a game or clear filters.

Questions about this workflow

Can I ask about a specific sequence?

Include the game and the sequence or play context you care about. Notis can summarize relevant returned plays.

Will it analyze player stats from each play?

This action retrieves play-by-play data. Player statistics tied to individual plays are available through a separate action.

When this happens · Trigger

Do this · Action

Supported Triggers and Actions

Notis builds workflows that link Gmail to College football data. A trigger fires from one place; an action lands in another.

Gmail triggers

College football data actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Advanced Box Score

Tool to retrieve advanced box score metrics for a single college football game. Use after selecting a specific game to access team- and player-level advanced analytics.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Advanced Game Stats

Tool to retrieve advanced team metrics at the game level. Use when detailed offensive and defensive metrics (success rates, explosiveness, havoc) are needed.

ActionInstant

Email Sent

Triggers when a Gmail message is sent by the authenticated user. It polls the 'SENT' label and emits metadata including sender, recipients, subject, timestamp, and thread ID.

TriggerPolling

Advanced Season Stats by Team

Tool to retrieve advanced season metrics aggregated by team and season. Use after selecting season and team filters.

ActionInstant

New Gmail Message Received Trigger

Triggers when a new message is received in Gmail.

TriggerPolling

Betting Lines

Tool to fetch betting lines and totals by game and provider. Use when you need current or historical betting line data filtered by specific criteria.

ActionInstant

Composite Team Talent

Tool to fetch composite team talent rankings by season. Use when you need 247Sports team talent composites for specified seasons.

ActionInstant

Conference Memberships History

Tool to retrieve historical conference memberships for teams, including years active and division. Use when you need to trace a team's conference history over time.

ActionInstant

Divisions by Conference

Tool to list FBS/FCS conference divisions with active years and metadata. Use after specifying an optional season year to filter active divisions.

ActionInstant

Get Drive Data

Tool to retrieve drive-level data and results. Use when analyzing detailed drives for specified games after filtering by season, team, or week.

ActionInstant

Connect any two apps with Notis in the middle.

Gmail and College football data, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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No card. Works with personal or business College football data.