# NBA & NFL Player Props Odds: Pinnacle Lines & No-Vig Fair Odds (`sports-odds-lab/player-props-odds`) Actor

Pinnacle player props for NBA, NFL, NHL, MLB, NCAAF and WNBA: points, rebounds, threes, yards, receptions, touchdowns, shots. Line, over/under prices, no-vig fair probability, margin and stake limit — the benchmark for +EV PrizePicks and Underdog picks. No proxy.

- **URL**: https://apify.com/sports-odds-lab/player-props-odds.md
- **Developed by:** [Min Maxxxer](https://apify.com/sports-odds-lab) (community)
- **Categories:** Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 player props

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## NBA & NFL Player Props Odds: Pinnacle Lines & No-Vig Fair Odds

> 💰 **$3 per 1,000 props** — line, both prices, fair probability and limit in one row. Press **Start**: the prefilled input returns every **NBA** player prop of the next 48 hours in a few seconds.

**Player props from Pinnacle**, the sharpest bookmaker in the world — for **NBA, NFL, NHL, MLB, college football (NCAAF), college basketball and WNBA**. For every prop: the **player**, the **stat** (points, rebounds, assists, threes, PRA, passing / rushing / receiving yards, receptions, touchdowns, shots on goal…), the **line**, the **over and under prices** (American and decimal), the **no-vig fair probability** of each side, Pinnacle's **margin** and its **maximum stake**. Clean JSON, CSV or Excel — no proxy, no account.

### Why Pinnacle's props

DFS pick'em apps (**PrizePicks, Underdog, Sleeper, Betr**) and US sportsbooks set their player lines by following the sharp market. Pinnacle *is* the sharp market: low margins, high limits, professional money. Its **no-vig fair probability** is the number pick'em players use to find **+EV picks**:

- *For example*: a pick'em app offers a player **over 24.5 points** and Pinnacle's fair probability of over 24.5 is **58%** → a strong leg (a 5- or 6-pick flex needs about 54–55% per leg to break even).
- *For example*: your sportsbook offers **+110** on an under that Pinnacle prices at a **52% fair probability** → value (+110 needs only 47.6%).

### What you get for each prop

| Field | Example |
|---|---|
| `player`, `stat` | `Naji Marshall`, `Points` |
| `line` | `16.5` |
| `overAmerican` / `underAmerican` | `+104` / `-138` |
| `overOdds` / `underOdds` (decimal) | `2.04` / `1.725` |
| `overFairProb` / `underFairProb` | `0.4582` / `0.5418` |
| `marginPct` | `6.99` |
| `maxStake` | `250` — how much Pinnacle lets you bet; a higher limit means a more confident line |
| `league`, `startTime`, `homeTeam`, `awayTeam` | `NBA`, `2026-10-25T00:10:00Z`, `Dallas Mavericks`, `San Antonio Spurs` |
| `propId`, `gameId`, `description`, `scrapedAt` | Pinnacle's IDs, its own wording, when the prices were read |

Coverage on a normal day (24 October 2026): **NBA ~230 props** (8 games), **NFL ~600** (a weekend slate), **NCAAF ~320**, **NHL ~690**, **MLB** in the play-offs.

### Example input

```json
{
  "leagues": ["nba", "nfl"],
  "stats": ["Points", "Receiving Yards"],
  "hoursAhead": 24
}
```

Only one player: `"players": ["Jokic"]`. Every league of a sport: `"leagues": ["basketball"]`.

### How people use it

- **+EV pick'em**: compare PrizePicks / Underdog lines with Pinnacle's fair probability, keep the legs above break-even
- **Line shopping**: a sportsbook price above Pinnacle's fair probability is a value bet
- **Closing lines**: schedule it an hour before tip-off and keep Pinnacle's last line for every player — measure your closing line value
- **Models**: the sharp market's view of every player's points, yards or shots, as a feature or a benchmark

### Pricing

**$3 per 1,000 props** (pay per event: one prop = one row). No proxy and no separate platform usage to pay for. A full NBA night (~250 props) costs about $0.75.

### Notes

- Pre-game prices only: started games are left out. Pinnacle lists props about a day before the game, more as tip-off approaches — run it again closer to the start for more players.
- Game lines (moneyline, spread, total) of the same games: [Pinnacle Odds Scraper](https://apify.com/sports-odds-lab/pinnacle-odds). Box scores to grade props: [ESPN Scraper](https://apify.com/sports-odds-lab/espn-scraper).
- Data from Pinnacle's public website feed; not affiliated with Pinnacle, PrizePicks or Underdog. Odds change all the time — `scrapedAt` says when they were read.

### More from Min Maxxxer

- 📐 [Pinnacle Odds Scraper](https://apify.com/sports-odds-lab/pinnacle-odds) — moneyline, spread, totals and team totals with no-vig fair odds and stake limits, 17 sports
- 🏀 [NBA, NFL, MLB & NHL Odds](https://apify.com/sports-odds-lab/nba-nfl-mlb-nhl-odds) — moneyline, spread and total history back to 2009, DraftKings, FanDuel, BetMGM
- 📋 [ESPN Scraper: Box Scores & Player Stats](https://apify.com/sports-odds-lab/espn-scraper) — every player's box score for NFL, NBA, MLB, NHL, WNBA and college sports
- ⚖️ [Arbitrage & Value Bets Finder](https://apify.com/sports-odds-lab/arbitrage-value-bets-finder) — surebets and +EV bets across 30+ bookmakers and 24 sports

⭐ **Did this Actor save you time?** A short review on this page helps other bettors find it.

### Changelog

- **0.1** — first release: Pinnacle player props for NBA, NFL, NCAAF, NCAAB, NHL, MLB and WNBA with no-vig fair probabilities, margin and stake limits.

# Actor input Schema

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

nba, nfl, nhl, mlb, ncaaf (college football), ncaab, wnba — or basketball, american football, hockey, baseball for every league of the sport. Props appear about a day before the game.

## `players` (type: `array`):

Optional. Only these players: a full name or a part of it (case-insensitive), e.g. 'LeBron', 'Patrick Mahomes'.

## `stats` (type: `array`):

Optional. Only these stats, as Pinnacle names them: NBA Points, Rebounds, Assists, Threes Made, Pts & Rebs & Asts; NFL Passing Yards, Rushing Yards, Receiving Yards, Receptions, Touchdowns, Touchdown Passes, Pass Attempts, Pass Completions, Rush Attempts, Interceptions, Field Goals; NHL Points, Goals, Assists, Shots On Goal, Saves; MLB Home Runs, Bases, Strikeouts, Hits Allowed, Pitching Outs, Earned Runs.

## `hoursAhead` (type: `integer`):

Only props of games starting within this many hours (0 = every listed game). Started games are never included: Pinnacle's props are pre-game prices.

## `maxProps` (type: `integer`):

Stop after saving this many props (0 = no limit). A full NBA night has about 200–300 props, an NFL Sunday about 600.

## Actor input object example

```json
{
  "leagues": [
    "nba"
  ],
  "hoursAhead": 48,
  "maxProps": 0
}
```

# Actor output Schema

## `props` (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 = {
    "leagues": [
        "nba"
    ],
    "hoursAhead": 48
};

// Run the Actor and wait for it to finish
const run = await client.actor("sports-odds-lab/player-props-odds").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 = {
    "leagues": ["nba"],
    "hoursAhead": 48,
}

# Run the Actor and wait for it to finish
run = client.actor("sports-odds-lab/player-props-odds").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "leagues": [
    "nba"
  ],
  "hoursAhead": 48
}' |
apify call sports-odds-lab/player-props-odds --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sports-odds-lab/player-props-odds"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2R8K4vl4EePRFpplJ/builds/rbVAqFmtg9YkMkvEn/openapi.json