# Cricket Sabermetrics API — Jenko Analytics (`jenko_systems/cricket-sabermetrics`) Actor Modern cricket analytics beyond batting average. 9 analysis modes covering Tests, ODIs, T20Is, IPL, BBL, SA20 and more — with head-to-head, venue masters, pressure situations, era comparison and JTM match prediction. - **URL**: https://apify.com/jenko\_systems/cricket-sabermetrics.md - **Developed by:** [Jenko Systems](https://apify.com/jenko_systems) (community) - **Categories:** Integrations, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🏏 Cricket Sabermetrics — Jenko Analytics Cricket Edition v1.0 **Modern cricket analytics that goes far beyond batting average.** Powered by Cricsheet's ball-by-ball ODC-BY data and **12 Jenko proprietary metrics** designed to measure the "invisible greatness" traditional stats miss. --- ### 🇬🇧 English #### What you get 9 analysis modes, all calibrated with **12 Jenko proprietary metrics**: | ## | Metric | Measures | |---|--------|----------| | 1 | **JBI** | Jenko Batting Impact — composite batting greatness (format-aware) | | 2 | **JBO** | Jenko Bowling Opposition — composite bowling greatness | | 3 | **JCG** | Jenko Crease Generalship — the "Williamson/Dravid effect" | | 4 | **JPI** | Jenko Pressure Index — performance under high stakes | | 5 | **JOM** | Jenko Opposition Mastery — performance vs elite teams | | 6 | **JEA** | Jenko Era-Adjusted — player vs era median | | 7 | **JCM** | Jenko Conditions Mastery — venue/conditions specialist | | 8 | **JTR** | Jenko Transfer Rating — bowler-fatigue created | | 9 | **JWP** | Jenko Win Probability — contribution to team wins | | 10 | **JCC** | Jenko Career Curve — sustained-excellence trajectory | | 11 | **JCH** | Jenko Captaincy Halo — performance differential as captain | | 12 | **JTM** | Jenko Team Matchup — A vs B win probability | **Every metric inline:** formula, weighted breakdown, verdict scale, real benchmarks. #### Modes available | Mode | Metric(s) | Use case | |------|-----------|----------| | `player_jenko_profile` | JBI, JBO, JCG, JCC, JPI, JOM | Complete player report card | | `player_h2h_jenko` | JBI comparison | Side-by-side two players | | `match_jenko_breakdown` | JBI/JBO per innings | Full scorecard with metrics | | `team_jenko_strength` | JBI/JBO on depth/firepower | Team analysis | | `era_compare` | JEA leaderboard | Compare players across eras | | `tournament_analytics` | JBI/JBO on leaders | Tournament-wide leaders | | `pressure_situations_analysis` | JPI leaderboard | Clutch performers | | `conditions_specialist_finder` | JCM | Venue/conditions masters | | `match_predictor` | JTM | Team A vs B win probability | #### Coverage (modern era, Cricsheet) | Competition | Volume | |------------|--------| | Test Matches (M + F) | 877 matches, Dec 2001+ | | ODIs (M + F) | 2,530 matches, Jun 2002+ | | T20Is (M + F) | Entire era 2005+ | | IPL | 1,219 matches, 2008+ | | WPL, BBL, WBBL, SA20, CSA T20, T20 Blast, The Hundred | Complete | #### Quick examples **V Kohli's IPL profile with all metrics:** ```json {"mode": "player_jenko_profile", "player_name": "V Kohli", "tournament": "ipl"} ```` **Mumbai Indians vs CSK at Wankhede:** ```json {"mode": "match_predictor", "team_name": "Mumbai Indians", "team_name_b": "Chennai Super Kings", "venue": "Wankhede", "tournament": "ipl"} ``` **Who masters Wankhede:** ```json {"mode": "conditions_specialist_finder", "venue": "Wankhede", "tournament": "ipl", "min_innings": 10} ``` #### Pricing **US$ 5 / 1,000 records returned.** No subscription, no minimum. #### Attribution Underlying data from **Cricsheet** (cricsheet.org), maintained by Stephen Rushe, under **ODC-BY 1.0**. This actor adds value through Jenko Systems' proprietary analytics. *** ### 🇧🇷 Português #### O que você ganha 9 modos de análise com **12 métricas Jenko proprietárias**: | ## | Métrica | O que mede | |---|---------|------------| | 1 | **JBI** | Jenko Batting Impact — grandeza completa do batter (sensível ao formato) | | 2 | **JBO** | Jenko Bowling Opposition — grandeza completa do bowler | | 3 | **JCG** | Jenko Crease Generalship — o "efeito Williamson/Dravid" | | 4 | **JPI** | Jenko Pressure Index — performance sob alta pressão | | 5 | **JOM** | Jenko Opposition Mastery — performance vs times elite | | 6 | **JEA** | Jenko Era-Adjusted — jogador vs mediana da era | | 7 | **JCM** | Jenko Conditions Mastery — especialista em venue/condições | | 8 | **JTR** | Jenko Transfer Rating — cansaço de bowler criado | | 9 | **JWP** | Jenko Win Probability — contribuição pra vitórias | | 10 | **JCC** | Jenko Career Curve — trajetória de excelência sustentada | | 11 | **JCH** | Jenko Captaincy Halo — diferencial como capitão | | 12 | **JTM** | Jenko Team Matchup — probabilidade A vs B | **Cada métrica inline:** fórmula, breakdown ponderado, escala de veredicto, benchmarks reais. #### Preço **US$ 5 / 1.000 records retornados.** Sem mensalidade, sem mínimo. #### Atribuição Dados via **Cricsheet** (cricsheet.org), sob licença **ODC-BY 1.0**. Esta API agrega valor através das análises proprietárias da Jenko Systems. *** ### 🛠️ Local development ```bash pip install -r requirements.txt echo '{"mode": "player_jenko_profile", "player_name": "V Kohli", "tournament": "ipl"}' > input.json python -m src.main ``` ZIPs are cached at `~/.cache/cricsheet/` to speed iteration. *** Built by [Jenko Systems](https://jenkosystems.com). Source code proprietary. Data ODC-BY 1.0. # Actor input Schema ## `mode` (type: `string`): Which analysis to run. Each mode has its own required fields below. ## `tournament` (type: `string`): Which competition to load. Specifying a single one is much faster than 'all'. ## `format` (type: `string`): Optional: restrict to a format when tournament='all'. ## `player_name` (type: `string`): Used by player\_jenko\_profile and player\_h2h\_jenko. Cricsheet uses initial+surname format (e.g., 'V Kohli', 'SR Tendulkar'). Fuzzy match supported. ## `player_name_b` (type: `string`): Used by player\_h2h\_jenko mode only. ## `team_name` (type: `string`): Used by team\_jenko\_strength and match\_predictor. Examples: 'India', 'Mumbai Indians', 'Chennai Super Kings'. ## `team_name_b` (type: `string`): Used by match\_predictor mode only. ## `venue` (type: `string`): Used by conditions\_specialist\_finder and match\_predictor. Partial match accepted (e.g., 'Wankhede', 'Chinnaswamy'). ## `match_id` (type: `string`): Used by match\_jenko\_breakdown. Example: '335982' (first IPL match ever). ## `min_innings` (type: `integer`): Used by leaderboard-style modes to filter out small samples. Default varies by mode. ## `date_from` (type: `string`): Used by tournament\_analytics to restrict to a date range. ISO format: YYYY-MM-DD. ## `date_to` (type: `string`): Used by tournament\_analytics to restrict to a date range. ISO format: YYYY-MM-DD. ## Actor input object example ```json { "mode": "player_jenko_profile", "tournament": "ipl", "format": "all", "player_name": "V Kohli", "player_name_b": "RG Sharma", "team_name": "Mumbai Indians", "team_name_b": "Chennai Super Kings", "venue": "Wankhede", "match_id": "335982", "min_innings": 10, "date_from": "2020-01-01", "date_to": "2024-12-31" } ``` # Actor output Schema ## `dataset_url` (type: `string`): Link to the dataset with all analysis records # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("jenko_systems/cricket-sabermetrics").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("jenko_systems/cricket-sabermetrics").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call jenko_systems/cricket-sabermetrics --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jenko_systems/cricket-sabermetrics", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Cricket Sabermetrics API — Jenko Analytics", "description": "Modern cricket analytics beyond batting average. 9 analysis modes covering Tests, ODIs, T20Is, IPL, BBL, SA20 and more — with head-to-head, venue masters, pressure situations, era comparison and JTM match prediction.", "version": "1.0", "x-build-id": "uXSuotJPapJClLIXz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jenko_systems~cricket-sabermetrics/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jenko_systems-cricket-sabermetrics", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jenko_systems~cricket-sabermetrics/runs": { "post": { "operationId": "runs-sync-jenko_systems-cricket-sabermetrics", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jenko_systems~cricket-sabermetrics/run-sync": { "post": { "operationId": "run-sync-jenko_systems-cricket-sabermetrics", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Analysis Mode", "enum": [ "player_jenko_profile", "player_h2h_jenko", "match_jenko_breakdown", "team_jenko_strength", "era_compare", "tournament_analytics", "pressure_situations_analysis", "conditions_specialist_finder", "match_predictor" ], "type": "string", "description": "Which analysis to run. Each mode has its own required fields below.", "default": "player_jenko_profile" }, "tournament": { "title": "Tournament / Competition", "enum": [ "ipl", "wpl", "bbl", "wbbl", "sa20", "csa_t20", "t20_blast", "the_hundred", "cpl", "psl", "bpl", "lpl", "ilt", "mlc", "wcpl", "tests", "tests_women", "odis", "odis_women", "t20is", "t20is_women", "all" ], "type": "string", "description": "Which competition to load. Specifying a single one is much faster than 'all'.", "default": "ipl" }, "format": { "title": "Format Filter (when tournament=all)", "enum": [ "all", "test", "odi", "t20", "t20_franchise" ], "type": "string", "description": "Optional: restrict to a format when tournament='all'.", "default": "all" }, "player_name": { "title": "Player Name", "type": "string", "description": "Used by player_jenko_profile and player_h2h_jenko. Cricsheet uses initial+surname format (e.g., 'V Kohli', 'SR Tendulkar'). Fuzzy match supported." }, "player_name_b": { "title": "Second Player Name (for H2H)", "type": "string", "description": "Used by player_h2h_jenko mode only." }, "team_name": { "title": "Team Name", "type": "string", "description": "Used by team_jenko_strength and match_predictor. Examples: 'India', 'Mumbai Indians', 'Chennai Super Kings'." }, "team_name_b": { "title": "Second Team Name (for match prediction)", "type": "string", "description": "Used by match_predictor mode only." }, "venue": { "title": "Venue", "type": "string", "description": "Used by conditions_specialist_finder and match_predictor. Partial match accepted (e.g., 'Wankhede', 'Chinnaswamy')." }, "match_id": { "title": "Cricsheet Match ID", "type": "string", "description": "Used by match_jenko_breakdown. Example: '335982' (first IPL match ever)." }, "min_innings": { "title": "Minimum Innings (filter)", "minimum": 1, "maximum": 200, "type": "integer", "description": "Used by leaderboard-style modes to filter out small samples. Default varies by mode.", "default": 10 }, "date_from": { "title": "Date From (optional)", "type": "string", "description": "Used by tournament_analytics to restrict to a date range. ISO format: YYYY-MM-DD." }, "date_to": { "title": "Date To (optional)", "type": "string", "description": "Used by tournament_analytics to restrict to a date range. ISO format: YYYY-MM-DD." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```