Player and team statistics compilation

Purpose

1.1 Automate the collection, synthesis, and reporting of player and team statistics across matches, seasons, and tournaments.
1.2 Automatedly aggregate batting, bowling, fielding, and scoring data for real-time and historical insights.
1.3 Facilitate automated exports of actionable statistics for performance analysis, media sharing, and internal coaching.
1.4 Automate monthly, weekly, or match-level dashboards for management and talent scouts, supporting data-driven decision-making.
1.5 Automate data cleaning, validation, and anomaly detection to ensure integrity and reliability in statistics presented.

Trigger Conditions

2.1 Automatedly triggered by match completion entries in a club database.
2.2 Initiated when new scorecards are uploaded to cloud storage or scoring platforms.
2.3 Automation runs on scheduled intervals (e.g., after each game or every 24 hours).
2.4 Manual trigger capability by admin via a web/mobile dashboard for on-demand compilations.
2.5 Triggered when a player’s season milestone is reached (e.g., 500 runs or 50 wickets).

Platform Variants

3.1 Microsoft Power Automate
• Feature/Setting: Power Automate Flow with SharePoint/Excel integration; automate record extraction and report compilation from cricket scoring sheets.

3.2 Google Sheets API
• Feature/Setting: Automated Google Apps Script using SheetsAPI to aggregate per-player, per-match data; automator runs on sheet update triggers.

3.3 Zapier
• Feature/Setting: Sequence using Webhooks, Google Drive, and Gmail actions; automates pulling match logs and distributing summaries via email.

3.4 Integromat (Make)
• Feature/Setting: Automated scenario using HTTP, Airtable, and Slack modules for compiling and posting team stats to a Slack channel post-match.

3.5 Airtable
• Feature/Setting: Airtable Automation scripts; automate stats rollup fields for each player; automated notifications on milestone achievements.

3.6 Tableau
• Feature/Setting: Tableau Prep Conductor scheduled flows; automate ingestion and prep of new CSV stat files for interactive dashboard updates.

3.7 Google Data Studio
• Feature/Setting: Automated Google Data Studio connectors; regular refreshes on player statistics for real-time visualization.

3.8 Notion API
• Feature/Setting: Automated data sync with Notion API integrations; create or update player and team stat databases on match events.

3.9 Slack
• Feature/Setting: Incoming Webhooks to automate stat summaries directly to club chat channels after each match.

3.10 Microsoft Teams
• Feature/Setting: Teams Bot Framework messages automatedly post performance summaries to team or management channels.

3.11 Google Cloud Functions
• Feature/Setting: Serverless automation via pub/sub triggers; automatically perform data extraction and push to BigQuery or Sheets.

3.12 AWS Lambda
• Feature/Setting: Lambda triggers from S3 upload (score file); automate stats extraction and update DynamoDB for future retrieval.

3.13 HubSpot
• Feature/Setting: Workflow automation to tag and update contacts (players) with stat-based properties, assisting marketing or fan engagement.

3.14 Trello
• Feature/Setting: Power-Up automated cards and lists for milestones, highlighting top performances to coaching staff.

3.15 Monday.com
• Feature/Setting: Automations to update dashboards, notify members of new stats, or trigger review workflows post-match.

3.16 Mailchimp
• Feature/Setting: Automated campaigns with latest team & player stats sent to subscriber lists after each game.

3.17 Twilio SMS API
• Feature/Setting: Automated SMS alerts for record-breaking performances or summary stats sent to fans or internal groups.

3.18 Discord Webhooks
• Feature/Setting: Automated bots post stat reports in club Discord server after every match event.

3.19 JotForm
• Feature/Setting: Automated form submissions populate a stats tracker, with integrations for sending data to databases or cloud sheets.

3.20 Dropbox API
• Feature/Setting: Automated file watching and parsing scripts, extracting new stats from uploaded CSVs for immediate processing.

3.21 Smartsheet
• Feature/Setting: Automated row generation on completion of matches, aggregating and visualizing player statistics over the season.

3.22 Google Calendar
• Feature/Setting: Automated calendar events with performance recaps and key stats summary for staff review meetings.

3.23 Power BI
• Feature/Setting: Automated refresh of dashboards as new matches are logged, providing up-to-date stat visuals for club stakeholders.

3.24 Pabbly Connect
• Feature/Setting: Automated sequences ingesting match data from emails or forms, populating reports, and sending autoupdates.

Benefits

4.1 Automates repetitive stat compilation, saving administrative time and reducing manual error.
4.2 Ensures up-to-date, accurate stat reporting for all stakeholders, automating regular insights delivery.
4.3 Supports strategic cricket management by automating actionable reports, highlights, and player tracking.
4.4 Enables automated, scalable stat analysis across large player pools and multiple teams, fostering advanced insights.
4.5 Increases engagement with players, fans, and staff by automating timely notifications of milestones and achievements.