# MMA Sabermetrics - UFC, Bellator, PFL + Jenko Metrics (`jenko_systems/ufc-historical-stats`) Actor 11,720 MMA fights across UFC, Bellator, PFL, Invicta, Rizin (1993-2926). 6 proprietary Jenko metrics: JFI (Finishing), JSP (Striking), JGD (Grappling), JCG (Clutch), JDS (Damage), JKR (KO Resistance). 7 query modes - **URL**: https://apify.com/jenko\_systems/ufc-historical-stats.md - **Developed by:** [Jenko Systems](https://apify.com/jenko_systems) (community) - **Categories:** Other, News, Automation - **Stats:** 11 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / actor start 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 ## MMA Sabermetrics — UFC, Bellator, PFL + Jenko Metrics The most complete MMA database as an API, **with proprietary Jenko Sabermetrics**. 11,720+ fights across UFC, Bellator, PFL, Invicta, Rizin (1993-2026) and **6 Jenko metrics that nobody else has**. > **What's new in v2.0:** Jenko Sabermetrics — the first MMA proprietary scoring system. 6 metrics that quantify striking precision, grappling dominance, finishing ability, clutch gene, damage output, and chin durability across eras. ### Why this actor? Other MMA APIs give you stats. We give you **insights**. **Example:** Why did Poirier beat McGregor twice in 2021 after losing in 2014? - JKR (KO Resistance): **Poirier 67** vs McGregor 56 → Poirier's chin held up - JDS (Damage Score): McGregor **90** vs Poirier 78 → Conor still hits harder - JFI (Finishing): McGregor **82** vs Poirier 67 → Conor still finishes more - **But durability matters when the power is gone.** The data tells the story. ### The 6 Jenko Metrics | ID | Name | Measures | Reference | |---|---|---|---| | **JFI** | Jenko Finishing Index | KO+SUB rate × round dominance | Khabib FINISHER_ELITE | | **JSP** | Jenko Striking Precision | Acc + Volume + Headhunting + KD power | Max Holloway SNIPER_ELITE | | **JGD** | Jenko Grappling Dominance | TD volume + Accuracy + Submission threat | Khamzat GRAPPLER_ELITE | | **JCG** | Jenko Clutch Gene | Main event wins + finishes + title fights | Jon Jones CLUTCH_LEGEND | | **JDS** | Jenko Damage Score | Knockdowns/fight + Total KDs + Volume | McGregor ONE_SHOT_POWER | | **JKR** | Jenko KO Resistance | % of losses NOT by KO/TKO (chin) | Nate Diaz GRANITE_CHIN | Each metric returns: `score` (0-100), `verdict` (5-tier categorical), `interpretation`, `formula`, `breakdown`, `verdict_scale`, `example_comparison`. **Calibrated with real data from 1,239 UFC fighters.** ### 7 Query Modes #### `jenko_ranking` ⭐ (FLAGSHIP) Rank fighters by any Jenko metric. ```json { "mode": "jenko_ranking", "metric": "JFI", "top_n": 20 } { "mode": "jenko_ranking", "metric": "JDS", "organization": "UFC", "min_fights": 10 } ```` #### `fighter` — Career history + Jenko ```json { "mode": "fighter", "fighter": "Khabib", "include_jenko": true } ``` Add `"jenko_full": true` for complete metric breakdowns (formula, comparison, verdict scale). #### `matchup` — Head-to-head with Jenko comparison ```json { "mode": "matchup", "fighter1": "Poirier", "fighter2": "McGregor", "include_jenko": true } ``` Returns: profiles + previous fights + **JENKO COMPARISON** showing who wins each metric. #### `ranking` — Classic stats ```json { "mode": "ranking", "stat": "ko_artists", "top_n": 20 } ``` Available: `ko_artists`, `submission_artists`, `decision_wins`, `most_fights`, `finish_rate` #### `event` — Event card ```json { "mode": "event", "event": "UFC 300" } ``` #### `organization` — All fights from an org ```json { "mode": "organization", "organization": "Bellator", "max_resultados": 100 } ``` #### `weight_class` — Division history ```json { "mode": "weight_class", "weight_class": "Lightweight" } ``` ### Dataset coverage | Organization | Fights | Stats Coverage | |---|---|---| | UFC | 9,643 | Full (sig strikes, takedowns, control time, KDs) | | Bellator | 1,150 | Basic (result, method, round) | | PFL | 857 | Basic | | Invicta FC | 64 | Basic | | Rizin | 6 | Basic | | **Total** | **11,720** | **Largest aggregated MMA dataset on Apify** | UFC stats include: `sig_str_landed/att`, `head/body/leg breakdown`, `td_landed/att`, `sub_att`, `knockdowns`, `ctrl_time`. These power the Jenko metrics. ### Top JFI Finishers (sample output) ``` #1 Erick Silva 17f 100.0 FINISHER_ELITE #2 Terrance McKinney 17f 100.0 FINISHER_ELITE #3 Daniel Pineda 16f 100.0 FINISHER_ELITE #5 Bruno Silva 60f 96.0 FINISHER_ELITE #7 Vitor Belfort 26f 94.0 FINISHER_ELITE ``` ### Use cases - **Sports betting**: Identify mismatches via Jenko comparison (chin vs power, grappler vs striker) - **Fantasy MMA**: Build scoring models using Jenko scores as features - **Content creation**: "Top 10 by Jenko Damage Score" instantly - **Research**: 30+ years of MMA data with calibrated metrics - **Fight prediction**: Train ML models on standardized 0-100 scores ### Data sources - **UFC**: [ufcstats.com](http://ufcstats.com) — official UFC statistics - **Other orgs**: [sherdog.com](https://www.sherdog.com) - **Updates**: Weekly via Apify schedule (every Monday) ### Methodology — Jenko Calibration All metrics calibrated with real percentile distributions: - JSP: P25=41% sig acc, P75=52%, P95=60% - JGD: P50=49% TD acc, P95=100% (specialists) - JFI: P25=33%, P50=50%, P75=67% finish rate - JDS: McGregor reference 0.57 KD/fight = 100 Each fighter needs minimum 5 career fights to qualify (configurable via `min_fights`). *** 🌐 jenkosystems.com # Actor input Schema ## `mode` (type: `string`): What you want to query. ## `metric` (type: `string`): Which Jenko metric to rank by. ## `fighter` (type: `string`): Partial name (ex: Khabib, McGregor, Adesanya). ## `fighter1` (type: `string`): First fighter for matchup mode. ## `fighter2` (type: `string`): Second fighter for matchup mode. ## `event` (type: `string`): Partial event name (ex: UFC 300, Bellator 300). ## `organization` (type: `string`): UFC, Bellator, PFL, Invicta, Rizin. ## `weight_class` (type: `string`): Lightweight, Heavyweight, Welterweight, etc. ## `stat` (type: `string`): For 'ranking' mode (not jenko\_ranking). ## `top_n` (type: `integer`): Number of results in rankings. ## `min_fights` (type: `integer`): Minimum career fights to qualify for jenko\_ranking. ## `include_jenko` (type: `boolean`): For 'fighter' and 'matchup' modes — adds 6 Jenko metric scores. ## `jenko_full` (type: `boolean`): Returns full payload (formula, breakdown, scale, comparison) per metric. ## `max_resultados` (type: `integer`): Maximum number of fights to return in organization mode. ## Actor input object example ```json { "mode": "jenko_ranking", "metric": "JFI", "stat": "ko_artists", "top_n": 20, "min_fights": 5, "include_jenko": false, "jenko_full": false, "max_resultados": 100 } ``` # Actor output Schema ## `results` (type: `string`): Results in dataset. Schema varies by mode. # 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/ufc-historical-stats").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/ufc-historical-stats").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/ufc-historical-stats --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jenko_systems/ufc-historical-stats", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MMA Sabermetrics - UFC, Bellator, PFL + Jenko Metrics", "description": "11,720 MMA fights across UFC, Bellator, PFL, Invicta, Rizin (1993-2926). 6 proprietary Jenko metrics: JFI (Finishing), JSP (Striking), JGD (Grappling), JCG (Clutch), JDS (Damage), JKR (KO Resistance). 7 query modes", "version": "2.0", "x-build-id": "XLVHAJwL6PSaSsR5p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jenko_systems~ufc-historical-stats/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jenko_systems-ufc-historical-stats", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jenko_systems~ufc-historical-stats/runs": { "post": { "operationId": "runs-sync-jenko_systems-ufc-historical-stats", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jenko_systems~ufc-historical-stats/run-sync": { "post": { "operationId": "run-sync-jenko_systems-ufc-historical-stats", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Query mode", "enum": [ "fighter", "event", "matchup", "ranking", "jenko_ranking", "organization", "weight_class" ], "type": "string", "description": "What you want to query.", "default": "jenko_ranking" }, "metric": { "title": "Jenko Metric (for jenko_ranking)", "enum": [ "JFI", "JSP", "JGD", "JCG", "JDS", "JKR" ], "type": "string", "description": "Which Jenko metric to rank by.", "default": "JFI" }, "fighter": { "title": "Fighter name", "type": "string", "description": "Partial name (ex: Khabib, McGregor, Adesanya)." }, "fighter1": { "title": "Fighter 1 (matchup)", "type": "string", "description": "First fighter for matchup mode." }, "fighter2": { "title": "Fighter 2 (matchup)", "type": "string", "description": "Second fighter for matchup mode." }, "event": { "title": "Event name", "type": "string", "description": "Partial event name (ex: UFC 300, Bellator 300)." }, "organization": { "title": "Organization", "type": "string", "description": "UFC, Bellator, PFL, Invicta, Rizin." }, "weight_class": { "title": "Weight class", "type": "string", "description": "Lightweight, Heavyweight, Welterweight, etc." }, "stat": { "title": "Classic ranking stat", "enum": [ "ko_artists", "submission_artists", "decision_wins", "most_fights", "finish_rate" ], "type": "string", "description": "For 'ranking' mode (not jenko_ranking).", "default": "ko_artists" }, "top_n": { "title": "Top N", "minimum": 5, "maximum": 100, "type": "integer", "description": "Number of results in rankings.", "default": 20 }, "min_fights": { "title": "Min fights (Jenko ranking)", "minimum": 3, "maximum": 30, "type": "integer", "description": "Minimum career fights to qualify for jenko_ranking.", "default": 5 }, "include_jenko": { "title": "Include Jenko metrics", "type": "boolean", "description": "For 'fighter' and 'matchup' modes — adds 6 Jenko metric scores.", "default": false }, "jenko_full": { "title": "Full Jenko breakdown", "type": "boolean", "description": "Returns full payload (formula, breakdown, scale, comparison) per metric.", "default": false }, "max_resultados": { "title": "Max results (organization mode)", "minimum": 10, "maximum": 1000, "type": "integer", "description": "Maximum number of fights to return in organization mode.", "default": 100 } } }, "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 } } } } } } } } } } ```