Connect Google Sheets to College football data
When something happens in Google Sheets, Notis takes the next step in College football data. Describe what you want in plain English, or start from one of the examples below.
When this happens · Trigger
Do this · Action
Ways Notis can move work from Google Sheets to College football data
Look Up Games from New Sheet Requests
When a new row requests a season, week, or team, retrieve matching college football games and results.
Refresh Poll Rankings When a Sheet Range Changes
When a monitored range changes, retrieve weekly college football poll rankings for the relevant season and week.
Summarize Team Season Stats from New Rows
Use a new row with a team and season request to retrieve basic season team statistics.
Retrieve Player Game Stats from Sheet Requests
When a new row requests a player or game, retrieve available player statistics at game level.
Build Season Player Performance Briefs
Use each new player-season request to retrieve aggregate player season statistics.
Refresh Advanced Team Metrics on Range Updates
When a monitored range changes, retrieve advanced season metrics for the team and season specified there.
Get Team Box Stats for Requested Games
Use a new sheet request to retrieve team statistics for a specified game or set of games.
Review Returning Production for Requested Teams
For each new team-season row, retrieve returning production splits to support offseason planning.
Check Team Talent Rankings from New Requests
When a new row asks for a season, retrieve composite team talent rankings for that season.
Supported Triggers and Actions
Notis builds workflows that link Google Sheets to College football data. A trigger fires from one place; an action lands in another.
Google Sheets triggers
College football data actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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.
Aggregate Metric Changed
Triggers when an aggregate metric (SUM/COUNT/AVG/MIN/MAX) changes in a Google Sheets spreadsheet. This trigger monitors an aggregate calculation on a target column (optionally filtered by a search column/value) and fires when the calculated result changes.
Advanced Season Stats by Team
Tool to retrieve advanced season metrics aggregated by team and season. Use after selecting season and team filters.
Cell Range Values Changed
Triggers when values in a specified A1 range change in Google Sheets. This trigger monitors a specific cell or range of cells and fires when any values change.
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.
Conditional Format Rule Changed
Triggers when conditional formatting rules change in a Google Spreadsheet. Detects when rules are added, updated, or removed. Uses snapshot-based diffing to detect changes between polls.
Composite Team Talent
Tool to fetch composite team talent rankings by season. Use when you need 247Sports team talent composites for specified seasons.
Data Validation Rule Changed
Triggers when data validation rules change (added/updated/removed) in a Google Spreadsheet. Uses snapshot-based diffing to detect changes between polls.
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.
Developer Metadata Changed
Triggers when developer metadata entries change (new/updated/removed) in a Google Spreadsheet. Uses snapshot-based diffing to detect changes between polls.
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.
Filtered Range Values Changed
Polling trigger that monitors Google Sheets filtered ranges for value changes. Uses snapshot-based diffing to detect when values matching a data filter change. Emits the matched values when changes are detected.
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.
Four ways to start an automation.
A trigger is the event that kicks a workflow off. Notis supports four kinds: an event in a connected app, an inbound webhook, a recurring schedule, and soon, your own database.
Integration triggers
Fire when something happens inside a connected app. New Notion page, Stripe charge, Linear issue: any of 1,000+ apps can start a workflow.
Webhook triggers
A unique URL per workflow. Anything that can send an HTTP POST can start an automation, including no-code tools that speak webhooks.
Recurring triggers
Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.
Database triggers
Watch a row, query, or threshold in your own database and fire the moment the data changes. Row inserted, value crosses a limit, query starts matching.
Classic automation breaks. AI adapts.
Same triggers and actions, smarter middle. AI handles the fuzziness that breaks traditional Zapier-style workflows the moment a field gets renamed.
Describe it. Notis builds it.
Skip the visual builder. Tell Notis what you want, in plain English. It writes the workflow, you review and deploy.
You · in the Notis Builder
NEW“When a row gets added to the Q4 OKRs Notion database and the status is Blocked, send a Telegram message to the owner with a summary of what's blocking, and ping me if there's no reply within 24 hours.”
Notis built this automation:
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Every step can include an LLM call: summarise, classify, extract, rewrite.
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Every run, every step, every input, all replay-able from Mission Control.
Human in the loop
Pause for approval. Notis pings you in chat with one-tap approve.
Self-healing
When an API changes shape, Notis adapts the parser. Less midnight fire-fighting.
More ways to connect Google Sheets and College football data
Connect any two apps with Notis in the middle.
Google Sheets 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.