# Underdog Fantasy Player Props API - Lines & Odds (`zen-studio/underdog-player-props`) Actor

Scrape real-time player prop lines and odds from Underdog Fantasy API across 16 leagues. Get over/under lines, American and decimal odds, payout multipliers, player stats, team matchups, and game schedules. Filter by league, player name, stat type, or team. 45 fields per prop. JSON & CSV export.

- **URL**: https://apify.com/zen-studio/underdog-player-props.md
- **Developed by:** [Zen Studio](https://apify.com/zen-studio) (community)
- **Categories:** Integrations, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 lines

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

## Underdog Fantasy Player Props Scraper — Real-Time Lines & Odds Across 16 Leagues

**Key Highlight:** 6,000+ player props in under 5 seconds — real-time over/under lines with American and decimal odds, 45 fields across 16 leagues.

<table>
<tr>
<td colspan="3" style="padding:10px 14px;background:#4C945E;border:none;border-radius:4px 4px 0 0">
<span style="color:#FAFAF9;font-size:14px;font-weight:700;letter-spacing:0.5px">Zen Studio Sports Betting</span>
<span style="color:#E8F5E9;font-size:13px">&nbsp;&nbsp;&bull;&nbsp;&nbsp;Real-time odds across every major sportsbook</span>
</td>
</tr>
<tr>
<td style="padding:12px 16px;border:1px solid #E7E5E4;border-radius:0 0 0 4px;background:#E8F5E9;border-right:none;border-top:none;vertical-align:top;width:33%">
<img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-09TtSjF9Uzs5qfvLc-f9HhMKXsLt-underdog-fantasy-picks-api-logo.png" width="24" height="24" style="vertical-align:middle"> &nbsp;<a href="https://apify.com/zen-studio/underdog-player-props" style="color:#4C945E;text-decoration:none;font-weight:700;font-size:14px">Underdog Props</a><br>
<span style="color:#4C945E;font-size:12px;font-weight:600">&#10148; You are here</span>
</td>
<td style="padding:12px 16px;border:1px solid #E7E5E4;border-right:none;border-top:none;vertical-align:top;width:33%">
<img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-4AmgQeem8dEgMEiRF-VGffbe665M-prizepicks-scraper-logo.jpeg" width="24" height="24" style="vertical-align:middle"> &nbsp;<a href="https://apify.com/zen-studio/prizepicks-player-props" style="color:#1C1917;text-decoration:none;font-weight:700;font-size:14px">PrizePicks Props</a><br>
<span style="color:#78716C;font-size:12px">Projections and lines</span>
</td>
<td style="padding:12px 16px;border:1px solid #E7E5E4;border-radius:0 0 4px 0;border-top:none;vertical-align:top;width:33%">
<img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-W8rOXiLSj8wrgF96k-PQehXxTEV5-draftkings-real-time-api-logo.png" width="24" height="24" style="vertical-align:middle"> &nbsp;<a href="https://apify.com/zen-studio/draftkings-odds" style="color:#1C1917;text-decoration:none;font-weight:700;font-size:14px">DraftKings Odds</a><br>
<span style="color:#78716C;font-size:12px">Lines, props, SGP</span>
</td>
</tr>
</table>

Get every active player prop from Underdog Fantasy as structured JSON. Each result is one prop: a player, a stat, and an over/under line with both higher and lower odds.

#### Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

````

zen-studio/underdog-player-props on Apify. Call: ApifyClient("TOKEN").actor("zen-studio/underdog-player-props").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: leagues (array, default \["NBA"], use \["All"] for all 16 leagues), playerNames (string, comma-separated partial match), statTypes (string, comma-separated), teams (string, comma-separated names or abbreviations). All filters optional, AND logic. Full actor spec (input schema with all params/enums/defaults, output dataset fields, README): GET https://api.apify.com/v2/acts/zen-studio~underdog-player-props/builds/default (Bearer TOKEN) → inputSchema (JSON string, parse it), actorDefinition.storages.dataset.views.overview.transformation.fields (output field list), readme. 45 fields per result including American/decimal odds, payout multipliers, venue, weather, pitcher data. Get token: https://console.apify.com/account/integrations

````

### How It Works

Three-step process:
1. Pick your leagues
2. Optionally filter by player, stat type, or team
3. Get 45 fields per prop, ready to use

### What Data Can You Extract?

Every result includes:
- Player name, team, position (short + full), jersey number, country, headshot URL
- Stat category with machine key and display name (points, Points)
- Over/under line with American odds, decimal odds, and payout multipliers for both higher and lower
- Line type (balanced, weighted), flash lines, alternate line availability
- Game matchup with home/away teams, full team names, game start time
- Season type, game status, venue details, weather conditions
- MLB pitcher data: probable starting pitcher and throwing hand for both teams
- Provider source, expiration time, live event status

#### Options Handling

Each prop has two sides: higher and lower. Instead of two rows per line, both options are embedded in a single row via `higher_*` / `lower_*` prefixed fields. One row = one complete prop with both sides.

### How to Scrape Underdog Fantasy Player Props

#### Basic — NBA Props
```json
{
  "leagues": ["NBA"]
}
````

#### Multiple Leagues

```json
{
  "leagues": ["NBA", "MLB", "NHL"]
}
```

#### Filter by Player Name

```json
{
  "leagues": ["NBA"],
  "playerNames": "LeBron, Curry, Randle"
}
```

#### Filter by Stat Type

```json
{
  "leagues": ["NBA"],
  "statTypes": "Points, Rebounds, Assists"
}
```

#### Filter by Team

```json
{
  "leagues": ["NBA"],
  "teams": "MIN, Lakers"
}
```

#### Combine Filters (AND logic)

```json
{
  "leagues": ["NBA"],
  "statTypes": "Points",
  "teams": "Timberwolves",
  "playerNames": "Randle"
}
```

#### Everything at Once

```json
{
  "leagues": ["All"]
}
```

### Input Parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `leagues` | array | `["NBA"]` | One or more leagues. Select "All" for every available league |
| `playerNames` | string | — | Comma-separated player names. Case-insensitive, diacritic-insensitive (Jokic matches Jokić). Partial matching |
| `statTypes` | string | — | Comma-separated stat types. Accepts display names or machine keys (Points, points). Exact match, case-insensitive |
| `teams` | string | — | Comma-separated team names or abbreviations (MIN, Timberwolves, Minnesota Timberwolves). Matches player's team or either side of matchup |

All filters are optional and combine with AND logic. Filtered-out lines are not billed.

### Supported Leagues

**Major US Sports:** NBA, MLB, NHL, NFL, WNBA, UFL

**Golf:** PGA

**Individual Sports:** Tennis, MMA

**International:** Soccer (FIFA), KBO (Korean Baseball), NPB (Japanese Baseball)

**Esports:** Counter-Strike, Valorant, League of Legends, Esports (Dota 2)

League availability varies daily based on scheduled events.

### Stat Types by League

Pass these as comma-separated values in `statTypes`. Both machine key (points) and display name (Points) work.

**NBA / WNBA:** Points, Rebounds, Assists, 3-Pointers Made, Steals, Blocks, Turnovers, Pts + Rebs + Asts, Pts + Rebs, Pts + Asts, Rebs + Asts, Blks + Stls, Fantasy Points, Double-Double

**MLB:** Hits, Runs, RBIs, Home Runs, Total Bases, Stolen Bases, Walks, Strikeouts (Pitcher), Hits + Runs + RBIs, Earned Runs Allowed, Pitching Outs, Hits Allowed, Walks Allowed

**NHL:** Points, Goals, Assists, Shots On Goal, Blocked Shots, Saves, Power Play Points

**Soccer (FIFA):** Goals, Assists, Shots, Shots On Target, Passes, Tackles, Clearances, Saves

**Tennis:** Aces, Double Faults, Games Won, Sets Won, Tie Breaks

**MMA:** Significant Strikes, Takedowns

**Esports:** Kills, Deaths, Assists, Maps Won

Stat types vary daily based on scheduled games. Run once without a `statTypes` filter and inspect the `stat_display` field to see what's available.

### Pricing — Pay Per Event (PPE)

**$0.01 per 1,000 lines.**

#### Cost Examples

| What You Fetch | Lines | Cost |
|----------------|-------|------|
| NBA (typical game day) | ~700 | ~$0.012 |
| NBA + MLB + NHL | ~4,500 | ~$0.05 |
| All 16 leagues | ~6,200 | ~$0.07 |
| NBA filtered to 1 player | ~10 | < $0.01 |

#### Monthly Estimates

| Usage Pattern | Monthly Cost |
|---------------|-------------|
| NBA twice daily | ~$0.75 |
| 3 leagues twice daily | ~$3 |
| NBA every 5 minutes | ~$3.50 |

#### Cost Optimization

- Use `leagues` to fetch only the sports you need
- Use `statTypes` to narrow to specific stats
- Use `teams` to focus on specific matchups
- Use `playerNames` to narrow to specific players

Filters combine with AND logic, and filtered-out lines are not billed.

**Free tier:** 5 lifetime runs, 50 results per run.

### Output Example

Real result from the MLB board with all 45 fields:

```json
{
  "projection_id": "4d9eeecb-42c7-46bb-8463-62521b312df9",
  "line": 1.5,
  "stat": "hits_runs_rbis",
  "stat_display": "Hits + Runs + RBIs",
  "status": "active",
  "is_live": false,
  "flash_line": null,
  "rank": 1101351010500,
  "updated_at": "2026-04-07T07:17:21Z",
  "player_name": "José Ramírez",
  "player_team": "CLE",
  "player_team_name": "Cleveland Guardians",
  "player_position": "3B",
  "player_position_full": "Third Baseman",
  "player_country": null,
  "player_image": "https://assets.underdogfantasy.com/player-images/mlb/20260403_04-17e633e5.png",
  "player_jersey": "11",
  "player_id": "92506501-2fd3-478f-a749-bcd02919ece8",
  "league": "MLB",
  "game_start": "2026-04-07T17:10:00Z",
  "game_status": "scheduled",
  "season_type": "regular",
  "home_team": "CLE",
  "away_team": "KC",
  "home_team_name": "Cleveland Guardians",
  "away_team_name": "Kansas City Royals",
  "line_type": "balanced",
  "live_event_stat": null,
  "category": "player_prop",
  "has_alternates": true,
  "provider": "swish",
  "expires_at": null,
  "higher_american_odds": "-120",
  "higher_decimal_odds": "1.84",
  "higher_payout_multiplier": "1.0",
  "lower_american_odds": "-114",
  "lower_decimal_odds": "1.88",
  "lower_payout_multiplier": "1.0",
  "venue_name": "Progressive Field",
  "venue_type": "outdoor",
  "weather_condition": null,
  "weather_temperature": null,
  "home_pitcher": "G. Williams",
  "away_pitcher": "N. Cameron",
  "home_pitcher_hand": "RHP",
  "away_pitcher_hand": "LHP"
}
```

### PrizePicks Compatibility

Field names are aligned with the [PrizePicks Player Props Scraper](https://apify.com/zen-studio/prizepicks-player-props) where fields overlap. Shared fields use identical names (`player_name`, `stat`, `line`, `league`, `game_start`, etc.), making it straightforward to merge datasets from both platforms for line comparison.

### Scheduling

| Cadence | Best For |
|---------|----------|
| Once or twice daily | Daily picks newsletters, content creation |
| Every 1-4 hours | Line comparison tools, data collection |
| Every 2-5 minutes | Near real-time monitoring, Discord bots |

### Data Export

Results are available in:

- **JSON** — structured data for programmatic analysis
- **CSV** — flat tables for spreadsheets
- **Excel** — formatted data for reporting

Export directly from Apify Console or via API.

### FAQ

**How many props are typically available?**
Around 6,000-7,000 across all leagues. NBA alone has 700-800 depending on the game schedule.

**How often do lines change?**
Lines update every few minutes. The `updated_at` field shows exactly when each prop was last changed.

**What's the difference between higher and lower?**
Higher means the player exceeds the line. Lower means they fall short. Each side has its own American odds, decimal odds, and payout multiplier.

**What does "balanced" vs other line types mean?**
Balanced means the odds are roughly equal on both sides. Other types indicate the book has weighted one side.

**Does this work outside the US?**
Yes. The scraper uses a US residential proxy internally. You can run it from anywhere.

**What happens if a league has no games today?**
Zero results for that league with an info message. No error, no charge.

**Can I track line movements?**
Schedule the scraper to run periodically and compare `line` and odds values across runs using `projection_id` as the key.

**What are flash lines?**
Flash lines (`flash_line` field) show the original line before a discount was applied. When non-null, the current `line` is a discounted value.

**What are alternate lines?**
When `has_alternates` is true, Underdog offers additional lines at different values for the same player and stat. This scraper returns the primary line.

**How does this compare to PrizePicks?**
Both actors output structured player props with compatible field names. Underdog includes American/decimal odds and payout multipliers per side. PrizePicks includes odds tiers (standard, demon, goblin) and durations.

**What's the free tier?**
5 lifetime runs, 50 results per run.

**Are live event lines included?**
Pre-game lines only. Lines are pulled when games go live. Live lines require authentication and are not supported.

### Support

- **Bugs**: Issues tab
- **Features**: Issues tab

### Legal Compliance

Extracts publicly available data. Users must comply with Underdog Fantasy terms and data protection regulations (GDPR, CCPA).

***

*Real-time player prop lines and odds from Underdog Fantasy across 16 leagues.*

# Actor input Schema

## `leagues` (type: `array`):

Select one or more leagues to scrape.<br><br><b>"All Leagues"</b> fetches every available sport (~6,000+ lines).<br>Selecting individual leagues is faster and cheaper.

## `playerNames` (type: `string`):

Comma-separated player names. Partial matching, case-insensitive.<br><br>Examples:<br>• <code>LeBron</code> — matches "LeBron James"<br>• <code>Curry, Ohtani</code> — matches either player<br>• <code>Jokić</code> — diacritics handled automatically

## `statTypes` (type: `string`):

Comma-separated stat types.<br><br>Examples:<br>• <code>Points</code>, <code>Rebounds</code>, <code>Assists</code> (NBA)<br>• <code>Strikeouts</code>, <code>Hits</code>, <code>RBIs</code> (MLB)<br>• <code>Goals</code>, <code>Saves</code> (NHL/Soccer)

## `teams` (type: `string`):

Comma-separated team names or abbreviations. Matches the player's team or either side of the matchup.<br><br>Examples:<br>• <code>MIN</code> — abbreviation<br>• <code>Timberwolves</code> — partial name<br>• <code>Minnesota Timberwolves</code> — full name

## Actor input object example

```json
{
  "leagues": [
    "NBA"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "playerNames": "",
    "statTypes": "",
    "teams": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("zen-studio/underdog-player-props").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "playerNames": "",
    "statTypes": "",
    "teams": "",
}

# Run the Actor and wait for it to finish
run = client.actor("zen-studio/underdog-player-props").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 '{
  "playerNames": "",
  "statTypes": "",
  "teams": ""
}' |
apify call zen-studio/underdog-player-props --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=zen-studio/underdog-player-props",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Underdog Fantasy Player Props API - Lines & Odds",
        "description": "Scrape real-time player prop lines and odds from Underdog Fantasy API across 16 leagues. Get over/under lines, American and decimal odds, payout multipliers, player stats, team matchups, and game schedules. Filter by league, player name, stat type, or team. 45 fields per prop. JSON & CSV export.",
        "version": "0.0",
        "x-build-id": "ooKHrPjA1oTDc8YmG"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/zen-studio~underdog-player-props/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-zen-studio-underdog-player-props",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/zen-studio~underdog-player-props/runs": {
            "post": {
                "operationId": "runs-sync-zen-studio-underdog-player-props",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/zen-studio~underdog-player-props/run-sync": {
            "post": {
                "operationId": "run-sync-zen-studio-underdog-player-props",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "leagues"
                ],
                "properties": {
                    "leagues": {
                        "title": "Leagues",
                        "type": "array",
                        "description": "Select one or more leagues to scrape.<br><br><b>\"All Leagues\"</b> fetches every available sport (~6,000+ lines).<br>Selecting individual leagues is faster and cheaper.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "All",
                                "NBA",
                                "MLB",
                                "NHL",
                                "NFL",
                                "WNBA",
                                "UFL",
                                "PGA",
                                "Tennis",
                                "FIFA",
                                "MMA",
                                "CS",
                                "Valorant",
                                "LoL",
                                "Esports",
                                "KBO",
                                "NPB"
                            ],
                            "enumTitles": [
                                "All Leagues",
                                "NBA",
                                "MLB",
                                "NHL",
                                "NFL",
                                "WNBA",
                                "UFL",
                                "PGA",
                                "Tennis",
                                "Soccer (FIFA)",
                                "MMA",
                                "Counter-Strike",
                                "Valorant",
                                "League of Legends",
                                "Esports (Dota 2)",
                                "KBO (Korean Baseball)",
                                "NPB (Japanese Baseball)"
                            ]
                        },
                        "default": [
                            "NBA"
                        ]
                    },
                    "playerNames": {
                        "title": "Player names",
                        "type": "string",
                        "description": "Comma-separated player names. Partial matching, case-insensitive.<br><br>Examples:<br>• <code>LeBron</code> — matches \"LeBron James\"<br>• <code>Curry, Ohtani</code> — matches either player<br>• <code>Jokić</code> — diacritics handled automatically"
                    },
                    "statTypes": {
                        "title": "Stat types",
                        "type": "string",
                        "description": "Comma-separated stat types.<br><br>Examples:<br>• <code>Points</code>, <code>Rebounds</code>, <code>Assists</code> (NBA)<br>• <code>Strikeouts</code>, <code>Hits</code>, <code>RBIs</code> (MLB)<br>• <code>Goals</code>, <code>Saves</code> (NHL/Soccer)"
                    },
                    "teams": {
                        "title": "Teams",
                        "type": "string",
                        "description": "Comma-separated team names or abbreviations. Matches the player's team or either side of the matchup.<br><br>Examples:<br>• <code>MIN</code> — abbreviation<br>• <code>Timberwolves</code> — partial name<br>• <code>Minnesota Timberwolves</code> — full name"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```